AZURE

What is Azure? Microsoft Cloud Computing Service Platform

<h3>Discovering Azure's Potential: Microsoft's Cloud Computing Service Platform</h3> People, organizations, and the global economy at large look for new approaches to make things work more effectively, streamline processes, and grow efficiently in this rapidly evolving environment. In this digital era, cloud computing, which provides an elastic and adaptive infrastructure to meet the dynamic requirements of today’s world, has emerged as a revolution. A major player in the cloud services marketplace, Azure by Microsoft, is a robust system that has revolutionized conducting business over the net.

Azure, also known as Microsoft Azure, is a cloud computing service platform that Microsoft created. Azure was introduced in 2010 and has since grown to rank among the most reputable and extensively used cloud platforms worldwide. It provides a wide range of online services, including networking capabilities, computer power, storage options, and more.

An essential component of Microsoft Cloud, the company's larger cloud strategy, is Azure. Developed to empower consumers, developers, and organizations, this all-inclusive strategy includes a range of cloud services and products. The seamless integration of Microsoft Cloud with current Microsoft products creates a cohesive environment that promotes creativity, teamwork, and digital transformation.

Cloud Computing Services include Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS) offered by Microsoft Azure. This means that instead of acquiring and sustaining their gears and software for individual purposes, customers can leverage Azure’s platforms, infrastructure, as well as software applications.

Microsoft Azure offers numerous cloud services that cater to specific technical and economic needs. These services can be clustered in many areas, such as networking, artificial intelligence, databases, storage, computing, and IoT.

Azure prioritizes security with strong security measures since it is a critical issue in the digital era. Across all services, Azure Security Centre offers sophisticated threat prevention, assisting customers in quickly identifying and mitigating possible attacks. Microsoft guarantees data security and compliance with industry laws with its Azure Active Directory and Azure Information Protection capabilities.

The wide range of Azure services provides answers for a variety of situations. With Azure Virtual Machines, customers may host virtualized Linux or Windows servers in the cloud, offering scalability and flexibility. Unstructured data may be safely and affordably stored using Azure Blob Storage, while relational database services are completely handled by Azure SQL Database.

In cloud computing, Azure is something other than a bunch of secluded administrations. The Microsoft Azure Application Administrations give a stage for developers to fabricate and have web applications in a completely managed environment. AKS works with ease in scaling and sending the compartments through their execution of Kubernetes.

Any IT strategy must be cost-efficient, and Azure offers the resources needed to optimize and efficiently manage expenses. By offering insights and suggestions to guarantee that resources are employed effectively, Azure Cost Management and Billing assist customers in keeping an eye on and managing their expenditures on Azure services.

Azure by Microsoft, is a robust system that has revolutionized conducting business over the net. It provides a wide range of online services, including networking capabilities, computer power, storage options, and more.

DEVOPS

CICD And Its Best Practices

The DevOps movement gave birth to software development approaches such as continuous integration, delivery, and deployment. They speed up the process of developing, testing, and distributing software by reducing the time it takes to get working software into the hands of users. A CI/CD pipeline allows teams to rapidly deploy working software when done correctly while also receiving quick feedback on their most recent modifications. Any successful DevOps methodology relies on continuous integration and delivery (CI/CD). CI/CD best practices must be followed by teams who aspire to accomplish modern software development. It’s a technological process, a mindset, and a sequence of actions. CI/CD encompasses all of these aspects. Continuous Integration (CI) allows DevOps teams to automate code development.CI automates software builds and source code integration while enabling version control and promoting more collaboration. With automated testing and deployment, continuous delivery takes over where continuous integration leaves off. As a result, CD allows teams to substantially minimize the number of tools required to manage the lifecycle, but it also allows them to spend less “hands-on” time on delivery and deployment.

DevOps CI/CD best practices improve the efficiency and speed of building, testing, and releasing software. Because DevOps CI/CD services necessitate sending and receiving quick feedback on the most recent modifications, it pays to study your feedback data to improve your process. <h3>1. The only option is to use a CI/CD pipeline</h3> Nothing should jeopardize a fast, reliable, and secure CI/CD pipeline once it’s been constructed. Typically, a request for a shortcut is made when only small changes are required or when time is of the essence. Both explanations may appear true, yet they are insufficient to dilute the procedure. Skipping any automated testing stages might result in avoidable difficulties, making recreating and troubleshooting issues much more difficult because the build is not readily available for deployment to a testing environment. To get stakeholders on board, it’s essential to highlight the CI/CD benefits. <h4>2. Make early and frequent commitments</h4> Before implementing continuous integration, you must first guarantee that your source code, configuration files, scripts, libraries, and executables are all in source control. Because contributors exchange tiny updates regularly, continuous integration makes integrating changes from various contributors simple. Each one starts a series of automated tests to provide you with immediate feedback on the change. As a result, committing frequently enhances teamwork and lowers merge conflicts when integrating more complex modifications. It may be easier to embrace this technique if you work together to divide activities into smaller, defined parts. <h4>3. Make it a collaborative effort</h4> Building a successful CI/CD pipeline is as much about the culture of your team and company as it is about the processes and tools you employ. DevOps practices include continuous integration, delivery, and deployment. They focus on breaking down conventional silos between developers, testers, and operations and encouraging cross-disciplinary collaboration. <h4>4. Build only once</h4> Each stage does not necessitate a new build. Rebuilding software for multiple conditions can cause inconsistencies, causing you to distrust the results of previous tests. Instead, the same build artifact should be promoted via each CI/CD pipeline stage. As a result, the design must be environment-agnostic. Rather than being incorporated into the build itself, variables, configuration files, authentication parameters, configuration files, or scripts must be invoked by the deployment script. The same build can be deployed to each environment for testing. It boosts team members’ confidence in each artifact. <h4>5. Monitoring and measuring pipeline</h4> You’re probably already monitoring the production environment for early danger signals as part of setting up your CI/CD pipeline. As a result, a feedback loop will benefit your CI/CD workflow. You may look at the metrics collected by your CI/CD tool and see where you can improve. When you analyze the number of builds triggered per week, day, or hour, you can see how your pipeline infrastructure is used, whether it needs to be scaled up or down, and whether performance optimizations are needed. Statistics collected from automated tests aid in identifying locations where parallelization may be beneficial. Test results should be reviewed regularly to assist in streamlining test coverage. <h4>6. Keep your surroundings clean</h4> It’s essentially taking the effort to clean up your pre-production settings between deployments if you want to get the most out of your testing process. It’s challenging to keep track of all the configuration changes and upgrades that have been performed to each environment when they’ve been running for a long time. In addition, environments diverge from the original setup over time; thus, tests that pass or fail in one may not return the same result in another. Static environments have a maintenance cost, which can slow down testing and cause the release process to be delayed. It’s simple to spin up and break down environments for each new test by using containers to host and perform tests. <h4>7. Breaking down silos</h4> Breaking down silos allows teams to understand the end-to-end process better and cooperate and benefit from different areas of knowledge. It should never be the responsibility of a single person to maintain the pipeline. Instead, you can encourage everyone on your team to contribute by fostering a sense of shared ownership for delivering your software – whether it’s jumping in to fix the build, spending the time to containerize environments, or anything else. <h4>8. Infrastructure as Code (IaC)</h4> Infrastructure as Code (IaC) refers to the management and provisioning of infrastructure using code rather than manual processes. IaC generates configuration files containing your infrastructure specifications, making it easier to edit and distribute configurations. It also ensures that you always provide the same environment. IaC facilitates configuration management and helps you avoid undocumented, ad-hoc configuration changes by codifying and documenting your configuration specifications. IaC is critical to implementing DevOps and continuous integration/delivery (CI/CD). IaC relieves developers of the majority of provisioning work by allowing them to run a script and have their infrastructure ready. Infrastructure code can go through the same CI/CD pipeline as an application during software development, with the same testing and version control. <h4>9. Fail fast model</h4> Nobody in management ever tells you that you’re going to fail. It appears counterintuitive given that failure is often disastrous to a business. However, when every other team is evaluating their effectiveness based on their successes, the last thing you want to do is encourage your team to fail. Surprisingly, that is precisely what a DevOps culture requires, and the faster you fail, the quicker you achieve success. Here is where a fail-fast culture comes into play. The goal of fail-fast in DevOps is not to maximize failure but to encourage development teams to experiment in a structured environment where the faster they fail, the faster they can discover ways to improve systems and products. This “fail-fast” mechanism popularized in Agile environments can be migrated to DevOps environments if managers limit the costs of failure, particularly regarding the impact on customer services. In addition, this “fail-fast” mechanism popularized in Agile environments can be migrated to DevOps environments if managers limit failure costs, particularly regarding the impact on customer services.

DevOps is a method of working that involves people, technologies, and processes to meet, if not exceed, client expectations. Teams in the DevOps lifecycle focus on delivering value in a safe, rapid, and repeatable manner, helped by best practices in Continuous Integration and Continuous Delivery (CI/CD). This process aids enterprise cross-functional teams by automating, governing, and securing the whole software delivery process. By bringing automation, governance, longevity, and security to the software delivery process, Continuous Integration and Continuous Delivery (CI/CD) assists cross-functional teams with their tasks. Adopting best practices of any kind is to meet the enterprise’s goals as efficiently and effectively as possible.

DevOps CI/CD best practices improve the efficiency and speed of building, testing, and releasing software.

CICD And Its Best Practices - DevLabs Alliance 

SELENIUM

How to do Headless Browser Testing in Selenium?

Selenium has become one of the most widely used automation tools today. Many tasks required for online testing are automated, including title checking, website navigation, link clicking, etc. Many developers already use the entire set of Selenium features, but few are aware of the ability to run tests in headless browsers. Even fewer people use this strategy in their daily testing. You can boost your testing performance to new heights with headless browser testing. Web browsers are an essential aspect of SeleniumWebDriver’s UI automation. Web automation testing requires the launch of a browser and then the execution of test cases on the browsers. However, when we run Selenium tests on any browsers, we frequently encounter issues such as poor browser rendering, interference from other apps running on the system, etc. Apart from these, most of today’s CI systems are non-UI (such as Unix-based systems). Therefore, for executing the test cases on those systems, we require a way to run the different test cases in a Non-GUI mode. This is where the headless browser enters into the picture, which aids in the execution of Selenium.

<ol><li>Compared to actual UI testing, headless browser testing is often faster because it does not wait for the complete page to render before taking any action.</li><li>The test can be done even if the system has no real browser installed.</li><li>In parallel testing, if numerous sessions are launched simultaneously, the testing can be completed without the requirement for human interaction. Similarly, the user can work on multiple projects at the same time.</li><li>Only a few Headless Browsers support screenshots, such as Chrome and Firefox.</li><li>For Selenium script debugging, we can temporarily turn off the headless mode in Chrome and Firefox.</li></ol>

Headless testing is possible with Selenium. We mostly used the HTMLUnitDriver in prior Selenium versions, a headless driver that provides a non-GUI implementation of Selenium WebDriver. Selenium now supports headless versions of actual browsers like Chrome, Firefox, and Edge in the latest versions of SeleniumWebDriver 3 and Selenium Webdriver 4. In addition, selenium provides several options for running these browsers in headless mode.

The following are the advantages of running a Selenium test case in headless mode: <ol><li>It is not always practical to install real browsers on distant workstations when we need to run automated test cases remotely on a server or build and release pipelines for continuous integration servers. Instead, we can use headless browsers to execute automation tests efficiently.</li><li>When running Selenium tests, you’ll need a computer to handle the web browser’s visuals. We can eliminate this requirement and test in a broader range of devices with headless testing—servers, Docker containers, etc.</li><li>Headless browsers are an excellent alternative when writing a web scraper or data extractor that has to visit websites and collect data. We see web pages and obtain data since we are not concerned with functionality in these circumstances.</li><li>The tester may repeatedly want to emulate multiple browser versions on the same computer. You should utilize a headless browser in that scenario, as most allow you to simulate several browser versions.</li><li>Compared to real browser automation, the performance of a headless browser is superior. Loading CSS, JavaScript, Images, and opening and rendering HTML takes a long time in genuine browsers like Google Chrome, Firefox, and Internet Explorer. Headless browsers don’t need all of this to load and can begin executing tasks without waiting for a page to load fully. We could save time by running regression scripts in headless browsers when we need to run them.</li><li>You can use headless browsers for multitasking. While the tests are operating in the background, you can do whatever else with your browser or computer. We can save hours by not gazing at the screen.</li></ol>

Headless Chrome is a technique to operate the Chrome browser without the complete user interface in a headless environment. Headless Chrome gives you a real browser experience without the memory drain of running the full version of Chrome. Since version 59, Google Chrome has supported headless execution. Selenium WebDriver has a class called “ChromeOptions” that allows you to customize Chrome’s default behaviour by specifying various options. One of these options is the “headless” mode, which runs the test cases when Chrome is in headless mode. The following code snippet demonstrates how to use the ChromeOptions class to pass the “headless” option.

Headless Chrome is a technique to operate the Chrome browser without the complete user interface in a headless environment. Headless Chrome gives you a real browser experience without the memory drain of running the full version of Chrome. Since version 59, Google Chrome has supported headless execution. Selenium WebDriver has a class called “ChromeOptions” that allows you to customize Chrome’s default behaviour by specifying various options. One of these options is the “headless” mode, which runs the test cases when Chrome is in headless mode. The following code snippet demonstrates how to use the ChromeOptions class to pass the “headless” option.

Headless browser testing is possible with Selenium also by using HTMLUnitDriver in prior Selenium versions, a headless driver that provides a non-GUI implementation of Selenium WebDriver.

How to do Headless Browser Testing in Selenium? - DevLabs Alliance

SDET

How are the data structures and algorithms useful for SDET?

People often new to the software industry or those looking for career fields think that SDET is same as a Tester but that is incorrect. SDET is&nbsp;Software&nbsp;Development&nbsp;Engineer in&nbsp;Test a role which originated from Microsoft and is now in demand in almost all organizations. A SDET is not limited to being involved in the development of the code; its responsibilities are vast and reach beyond. A Tester is given the job of testing the success of each code, often manually unlike SDET who is involved in&nbsp;designing,&nbsp;development, testing and automation tasks&nbsp;of the whole operation not just individual codes – a highly skilled professional. Data structures and Algorithms are the foundations of any software development. They are the founding elements (along with others) of the whole operation. A SDET is more directly involved with these two because his responsibility is directly associated with it. We must know what data structures and algorithms are because at first they seem like those endless numbers going on in never-ending black screens often in movies with hackers in them. Well, yes that’s partly correct, they do come across this because it the base of the whole thing. In software development and computer science in general a&nbsp;data structure&nbsp;is a&nbsp;data organization, management, and storage format&nbsp;that enables efficient access and modification. To simplify things, imagine a file cabinet with the right structure that it perfectly organizes the files according to the category, time, date etc whatever is the requirement according to the type of data it holds. This file cabinet is efficient so that any time you have to access it, everything is smooth and the whole structure stays intact. See this example data structure and notice how it looks like an actual file cabinet? Now algorithms are a step higher.&nbsp;Algorithm&nbsp;is a&nbsp;step-by-step procedure, which defines a set of instructions&nbsp;to be executed in a certain order to get the desired output.&nbsp;Again to simplify things, algorithm is like a recipe, it tells the program what ingredients (inputs) to put in and the instructions (procedure) to follow to get the result (output). See the example below So, data structures and algorithms are crucial in software development, every feature stems from these. But how do these two work together? That’s simple, the ingredients (inputs) of the procedures specified in the algorithms are accessed from the data structures. A data structure is designed so that it gives access to the functions and operations in the algorithms. SDET is actively involved in the responsibilities of software development and hence knowing what and how the data structures and algorithms are being used is crucial.&nbsp;SDET is expected to carry out code reviews, suggest/make bug fixes in Developer’s code. This requires solid understanding of data structures and algorithms.&nbsp;This role is not limited towriting code but is required to test the code as well.&nbsp;SDETs&nbsp;are required to continuously write, test, and fix the written code. But that does not mean simple manual testing, instead setting up an advanced system. SDET in a large setup must build systems with their time, energy and skills which are advanced to chalk out bugs in an intricate system. Let’s know about some more things about data structures and algorithms

Primitive<ul><li>Integar</li><li>Character</li><li>Float</li><li>Boolean</li></ul> Non-primitive<ul><li>Arrays.</li><li>Stacks.</li><li>Queues.</li><li>Linked Lists.</li><li>Trees.</li><li>Graphs.</li><li>Tries (similar to trees, but it’s still good to call them out separately).</li><li>Hash Tables.</li></ul> Some basic algorithms are<ul><li>Breadth First Search and Depth First Search (not on CS50),</li><li>Binary Search</li><li>Insertion Sort</li><li>Merge Sort</li><li>Quicksort</li><li>Delete etc</li></ul> This is just the basic information about data structures and algorithms, more advanced levels are used to create softwares and programs which have become a part of our everyday routine. SDET is well-informed and skilled in such concepts and uses them effortlessly for its organization. The current and the future market has high for the skills and roles of SDET, Microsoft and Google already make it a priority and other companies are following closely.

SDET in not limited to the software industries as almost each industry is getting involved in the recent digital transformation, SDET is a must! Your personal abilities also come in handy being a SDET, non-technical skills such as time management, organization, communication and most importantly passion! So if you are stepping into software development or you currently have a career with testing and you are looking for a happy change, I would suggest you to check this&nbsp;<a href="https://www.devlabsalliance.com/courses/certified-sdet-professional/" rel="noopener noreferrer" target="_blank">course.</a>

Data structures and Algorithms are the foundations of any software development. SDET is not limited to being involved in the development of the code, its responsibilities are vast and reach beyond.

How are the data structures and algorithms useful for SDET? 

AUTOMATION SDET

Robotic Process Automation in Healthcare Industry

Robotic Process Automation (a.k.a. RPA) now has the potential to be a complete human process simulation and not just repetitive task automation. Very recent breakthroughs enable RPA to be usable in complex healthcare information technology environments and is a direct interface to AI (Artificial Intelligence) driven business solutions. Nowadays&nbsp;health leaders&nbsp;and healthcare industry CFOs indicate overall&nbsp;cost reduction and improve efficiency as one of their top two financial priorities.&nbsp;The operations team from the health care system use Robotic Process Automation to transform a completely manual process into an automated process to cut costs and improve efficiency. There are numerous automation tools and techniques but Robotic Process Automation (RPA) is&nbsp;one of the best options for the implementation of process automation in the healthcare systems since RPA has the potential for great transformation. Initially, healthcare systems started using RPA for back-office processes in order to eliminate paperwork and reduce the amount of time it takes to process files but now RPA is going far beyond these simple tasks and helping healthcare providers not only reducing costs and gaining efficiency, but also increasing the quality of patient care and the amount of time spending with patients. As patient numbers increase, health service providers are tested with overseeing levels of stock, supporting digitization of patient records, maximizing appointment, and executing billing and claims processing. To help conquer these operational pain points, increasingly more healthcare industries are grasping RPA to mitigate these difficulties and drive improved effectiveness and development. According to&nbsp;UiPath&nbsp;“Healthcare industries are predicted to have a 36% automation potential”. This implies in excess of 33% of healthcare assignments— particularly administrative, back-office capacities—could be automated, allowing healthcare providers to improve the customer experience because automating classification saves time and money, prevents misdirection and reduces human error. Healthcare’s major pain points before automation:&nbsp;There are many pain points&nbsp;faced in becoming more streamlined and efficient as a whole. Some of the biggest pain points faced by healthcare providers include:<ol><li>Rising healthcare costs</li><li>Changing healthcare demographics</li><li>Lack of efficiency and customer experience</li><li>Billing &amp; claims management</li><li>Inventory management</li><li>Patients appointment and entering their records manually</li></ol> Before automation, security was the main concern for the healthcare industry but now it’s not the case since robots are looking at our data, not humans looking at our data.Largest number of hospitals having more than 2000 beds were doing lots of activities manually, accuracy and frequency was a challenge, people were not able to complete activities on time. Once health leaders introduced with RPA since then not looking back.Healthcare wants to start small but to scale up as and when required and RPA is helping healthcare to automate tasks. Earlier, there was a huge volume of email from insurance providers that used to be fed into the system and the entire activity was manual and there was a high chance of missing data entry in many cases. RPA came into healthcare’s rescue where it read all email successfully and entered into the system, saving time and boosting accuracy. The kind of benefit that an operations team is getting from putting RPA is that they have been able to do things which was not humanly possible to do.So much data that they deal with there in the system , every patient may have probably thousand, five hundred interactions or episodes within a stay. RPA is now able to give them data which they could work upon so it’s improved their productivity and now they can really make a difference to the business and it has also given a lot of control. Earlier, they were dependent on human beings so there can be some mismatches and somebody tries to reconcile data manually but RPA really throws up the accurate matching or reconciliation of the data and also the speed is really immense. Now we can get the business reports every day. By the time they reach office, they know what’s happened and where the problem lies.With the success with RPA so far, they now plan to scale up RPA in other areas such as reading and processing bank statements. They are also automating the invoicing process. Use cases of RPA in healthcare: As hospitals work to cut costs, increase efficiency, and drive high quality care for patients, there are many roles that RPA plays in achieving these goals. Some of them include:&nbsp; <ul><li>Improve healthcare revenue cycle management:&nbsp;The use of RPA in the healthcare industry has great potential to expand far past back office functions. In particular, RPA can greatly help within the revenue cycle management and accurate eligibility confirmation helps streamline claims submission to and reimbursements from health plans. RPA is capable of improving billing efficiency. Additionally, RPA is also highly beneficial in healthcare records to provide analysis and data based on a patient’s condition and response. The use of RPA in the healthcare field is extensively advantageous to the financial performance of medicinal services.</li></ul> <ul><li>Account settlements:&nbsp;Medicinal services manage various patients’ records one after another. This may incorporate tests, medicines, specialists’ expenses, and different offices. Manually calculating them and dealing with these records may bring about blunders. RPA tools can help healthcare companies in ascertaining a patient’s bill by taking information from various divisions and sending a notice to the patient. Robotizing account settlement with RPA decreases installment postponements and errors in calculating the bill sum.</li></ul> <ul><li>Claim Management:&nbsp;Medical coverage guarantees the executives incorporates a few procedures. Gathering insurer’s information, assessing, and preparing it is time taking the procedure and mistake inclined also. Robotizing protection guarantees the executives utilizing RPA guarantees that all compliances are met while handling the case and is done quicker than people do. Also, robotization here ascertains that unpredictable protection claims took care of with proficiency.</li></ul> <ul><li>Patient and health plan management :&nbsp;Automation makes population health management feasible, scalable and sustainable.</li></ul> <ul><li>Better cost management:&nbsp;A product robot’s cost is commonly one-fifth the expense of a full-time human services staff part. RPA can convey up to 47% generally speaking reserve funds, particularly in healthcare payer BPO. With RPA insightful planning and multi-tenure, healthcare providers can use a financially savvy workforce and fundamentally diminish working expenses. Robots can be sent in cloud or on-premises from a single central server, making automation possible across multiple independent business units.</li></ul> To that stand RPA, specially UiPath becomes very important for the healthcare industry to move ahead on the IT (Information Technology) and automation technologies.RPA is recommended to small healthcare companies, who are looking to start automation journeys in healthcare’s day to day activities.

RPA plays multiple roles in achieving goals in healthcare, including management, settlements, planning, revenue cycle, etc. 

Robotic Process Automation in Healthcare Industry - DevLabs Alliance

Setup Selenium with C#

Open Visual StudioClick on File &gt;&gt; New &gt;&gt; Project

In New Project template,<ul><li>Click on&nbsp;Visual C#&nbsp;in the left panel.</li><li>Click on Console Application.</li><li>Enter Name as</li></ul>Click on OK.

After successful creation of project, below screen would be displayed:

To install the Selenium WebDriver, follow the below steps:Click on Tools &gt;&gt; NuGet Package Manager &gt;&gt; Manage NuGet Package for Solution…

In the next screen,<ul><li>Click on Browse.</li><li>Search for&nbsp;Selenium&nbsp;in the Search bar.</li><li>Select the first result “Selenium.WebDriver”</li><li>Check the project checkbox.</li><li>Click on Install.</li></ul>

Review the changes and click on OK in the Preview pop-up.After successful install of Selenium WebDriver, below message will be displayed in Output window.

We would be executing our Selenium scripts as well as automating any web application in Chrome browser. Hence, to launch the Chrome browser, we need to have&nbsp;ChromeDriver&nbsp;downloaded in the system.To download ChromeDriver, follow the below steps:<ul><li>Check the version of your Chrome browser.</li><li class="ql-indent-1">Open Chrome browser</li><li class="ql-indent-1">Click on three vertical dots on top most right hand side in the browser.</li></ul>Click on Help &gt;&gt; About Google Chrome.

In the next screen, Chrome version is displayed in About Chrome section

Open below link to download ChromeDriver:<a href="https://chromedriver.chromium.org/downloads" rel="noopener noreferrer" target="_blank">https://chromedriver.chromium.org/downloads</a>Based on the Chrome browser version, click on the ChromeDriver download link:

On click of the download link, a window will open specifying the chromeDriver for various platforms. Download the one according to your system’s configuration.

On click of the link, ChromeDriver zip file will get downloaded. Unzip the file and place it in some folder.

Right click on Project and click on Add &gt;&gt; New Item…

In Add New Item template, click on&nbsp;Class&nbsp;under Visual C# items and provide the Name as&nbsp;DLADemo.cs&nbsp;and click on&nbsp;Add&nbsp;button.

New class&nbsp;DLADemo.cs&nbsp;will get added to the project. Write the following code in DLADemo.cs file: Open the Program.cs and write the following code in Main method. Click on Start to run the application. Browser will open and run the scripts written and browser will get closed.

To install the NUnit Framework, follow the below steps:Click on Tools &gt;&gt; NuGet Package Manager &gt;&gt; Manage NuGet Package for Solution… In the next screen,<ul><li>Click on Browse.</li><li>Search for&nbsp;NUnit&nbsp;in the Search bar.</li><li>Select the first result “NUnit”.</li><li>Check the project checkbox.</li><li>Click on Install.</li></ul> Review the changes and click on OK in the Preview pop-up.Review the changes and click on OK in the Preview pop-up.

&nbsp;Click on Tools &gt;&gt; NuGet Package Manager &gt;&gt; Manage NuGet Package for Solution… In the next screen,<ul><li>Click on Browse.</li><li>Search for&nbsp;NUnitTestAdapter&nbsp;in the Search bar.</li><li>Select the first result “NUnit3TestAdapter”.</li><li>Check the project checkbox.</li><li>Click on Install.</li></ul> Review the changes and click on OK in the Preview pop-up. After successful install of NUnit Test Adapter, below message will be displayed in Output window.

Write the below code in DLADemo.cs file. Click on Build &gt;&gt; Build Solution. Once the build is successful, click on Test &gt;&gt; Windows &gt;&gt; Test Explorer. Test Explorer window will be opened and the test script with annotation Test(“OpenUrl”) will be displayed in the Test Explorer window. Select the test and right click on it. Click on Run Selected Tests. Selenium will open the browser, then execute the test script and will close the browser and test case will get passed and will be displayed under Passed Tests in Test Explorer window.

Complete Setup guide for installation of Selenium with C# and  WebDriver in Visual Studio

Setup Selenium with C# - DevLabs Alliance

REST API

What are the roles and responsibilities of SDET?

SDET is a mix of the developer as well as a tester who has exposure to project management, interacts with and understands end-user software requirements, knows the product or domain knowledge, participates in product or software designing, and knows how to code and build test automation tools. The roles and Responsibilities of SDET include the following: <ul><li>Participating in Design and Architectural discussion</li></ul> <ul><li>Capability of building, deploying, and managing own environment and test automation framework</li></ul> <ul><li>Developing automation code for the application and maintaining the same</li></ul> <ul><li>Ensuring maximum unit test code coverage</li></ul> <ul><li>Able to build different test scenarios and acceptance tests</li></ul> <ul><li>Write the automation code for himself and should have excellent debugging skills.</li></ul>

SDET is a mix of developer as well as tester who has exposure to project management, and interacts and understands end-user software requirements.

What are the roles and responsibilities of SDET? - DevLabs Alliance

How can a QA or Test engineer become SDET?

QA Test Engineers can become SDET by enhancing their skills for programming and also by expanding the automation scope for the project. To become a successful SDET, one should be involved in both the development of the application as well as in the testing of the software developed. SDET plays an important role in both the Software Development Life Cycle as well as Test Life Cycle. SDET engineer plans, designs, develops, optimizes as well as test the code using automation. SDET can think about the probability the application code can fail and design his test framework accordingly to ensure the robustness of the product. SDET needs to understand the complete flow of the code about how it interacts with all other components and can write his own code for creating specialty test tools for automation.

To become a successful SDET, one should possess excellent debugging skills in order to find out the reasons behind the failure of test cases, inefficient code, memory leakages, etc. in order to improve the quality of the code. SDET should be able to create a report of all his testing activities which will help in tracking all the tasks. To enhance these skills, QA or Test Engineer can take SDET training and certification program provided by DevLabs Alliance at a very nominal price.For more information, please visit: <ul><li><a href="https://devlabsalliance.com/courses/software-development-engineer-in-test-foundation-certification-course/" rel="noopener noreferrer" target="_blank">https://devlabsalliance.com/courses/software-development-engineer-in-test-foundation-certification-course/</a></li><li><a href="https://devlabsalliance.com/courses/certified-sdet-professional/" rel="noopener noreferrer" target="_blank">https://devlabsalliance.com/courses/certified-sdet-professional/</a></li><li><a href="https://devlabsalliance.com/courses/certified-sdet-architect-2/" rel="noopener noreferrer" target="_blank">https://devlabsalliance.com/courses/certified-sdet-architect/</a></li></ul>

To become a successful SDET, one should be involved in both the development of the application as well as in the testing of the software developed.

How can a QA or Test engineer become SDET? - DevLabs Alliance

Top 5 API Testing Tools

An API or Application programming interface is defined as a collection of software functions and procedures that is used to access or execute other software applications. API testing is a software testing type that ensures if the developed APIs are executing correctly and meeting the expectations regarding its functionality, reliability, performance, and security of the application. With a digital transformations, the demand for API testing is increasing with a greater level of Automation. Hence, testers/QA Engineers/SDET needs to equip themselves with intelligent and easy-to-use automation tools to test APIs that can help reduce the manual efforts to test these APIs and improve testing effectiveness and productivity.

Below are the top tools that can be used to test APIs:<ol><li>SoapUI:&nbsp;SoapUI is the most widely used popular tool for API testing and it allows users to test REST and SOAP APIs easily.</li></ol>

<ul><li>Create test cases quickly and very easily with its drag-and-drop, point-and-click functionality. These functionalities makes complicated tasks like working with XML and JSON quite simple.</li></ul> <ul><li>It is able to create complex scenarios and supports asynchronous testing.</li></ul> <ul><li>It allows to reuse the functional test cases as load tests and security scans in just a few clicks.</li></ul> <ul><li>It is able to load data from excels, files, and databases and helps in simulating the it the same way as customers interact with APIs.</li></ul> <ul><li>It can be easily integrated with 13 API management platforms and supports REST, SOAP, IOT and JMS.</li></ul> <ol><li>Postman:&nbsp;Postman is a chrome browser plug-in and it can be used for testing the APIs. Postman has extended its solution with the native version for both Windows and Mac.</li></ol>

<ul><li>Almost all modern API data can be extracted with Postman.</li></ul> <ul><li>It can be used for both automated and exploratory testing.</li></ul> <ul><li>Boolean tests can be written within Postman Interface.</li></ul> <ul><li>Postman is more reliable for transmitting and receiving REST information.</li></ul> <ul><li>Collection of REST calls can be created and each call can be saved as a part of collection for execution in future.</li></ul> <ul><li>It provides support for Swagger and RAML formats.</li></ul> <ul><li>It enables users to share the knowledge very easily by creating up the package of all requests and expected responses.</li></ul> <ol><li>JMeter:&nbsp;JMeter is an open source widely used tool for functional API testing. It also includes the features that help to boost the performance of API testing.</li></ol>

<ul><li>It automatically works with CSV files and allow the test team to create unique parameter values for API tests.</li></ul> <ul><li>Replaying of test results is being supported by JMeter.</li></ul> <ul><li>It is used for both static and dynamic resources performance testing.</li></ul> <ul><li>JMeter is integrated with Jenkins, hence allow the users to include the API tests in CI/CD pipeline.</li></ul> <ol><li>Katalon Studio:&nbsp;Katalon Studio is a free automation test tool that provides a common environment to create and execute API tests. It supports SOAP and REStful request with various types of commands like GET, PUT, POST, DELETE.</li></ol>

<ul><li>It supports testing of both SOAP and RESTful requests.</li></ul> <ul><li>It supports a combination of tests between UI and API verification.</li></ul> <ul><li>It supports AssertJ which is the most powerful assertion library, to create fluent assertions with BDD style.</li></ul> <ul><li>It is used for both automated and exploratory testing.</li></ul> <ul><li>It contains hundreds of built-in keyword to create test cases.</li></ul> <ul><li>It supports data-driven approach.</li></ul> <ol><li>Rest-Assured:&nbsp;Rest-Assured is a popular open source framework to test REST services in Java.</li></ol>

<ul><li>It contains number of in-built functionalities, that means it is not required to code things from scratch.</li></ul> <ul><li>It supports BDD: Given/When/Then syntax.</li></ul> <ul><li>It can be integrated seamlessly with Serenity automation framework and helps the user to combine the UI and REST tests all in one framework that generates good reports.</li></ul> <ul><li>The users don’t need to be an expert in HTTP.</li></ul>

With a digital transformation, the demand for API testing is increasing with a greater level of Automation. 

Top 5 API Testing Tools - DevLabs Alliance

*Introduction
*Describe factors that can affect costs in Azure
*Compare the pricing and total cost of ownership calculators
*Exercise- Estimate workload costs by using the pricing calculator
*Exercise- Compare workload costs using the TCO calculator
*Describe the Azure cost management tool
*Describe the purpose of tags

*Introduction
*Describe infrastructure as a service
*Describe the Platform as a service 
*Describe Software as a service


*Introduction
*Describe Azure directory services
*Describe Azure authentication methods
*Describe Azure external identities
*Describe Azure conditional access
*Describe Azure role-based access control
*Describe the zero trust model
*Describe defense in-depth 
*Describe Microsoft Defender for cloud

*Introduction to Microsoft Azure Fundamentals
*Introduction to cloud computing
*What is cloud computing
*Describe the shared responsibility model
*Define cloud models
*Describe the consumption-based model

*Introduction
*Describe the benefits of high availability and scalability in the cloud
*Describe the benefits of reliability and predictability in the cloud
*Describe the benefits of security and governance in the cloud.
*Describe the benefits of manageability in the cloud

*Introduction
*Describe the purpose of Azure blueprints
*Describe the purpose of azure policy
*Describe the purpose of resource locks
*Exercise- Configure a resource look 
*Describe the purpose of the service trust portal

*Introduction
*What is Microsoft Azure
*Get started with Azure accounts
*Exercise - Explore the learn sandbox
*Describe the Azure physical infrastructure 
*Describe Azure management infrastructure 
*Exercise - Create an Azure resource 


*Introduction
*Describe Azure Virtual Machines
*Exercise - Create an Azure virtual Desktop
*Describe Azure Containers
*Describe Azure functions
*Describe application hosting options 
*Describe Azure Virtual Networking
*Exercise-Configure network access
*Describe Azure Virtual Private Networks
*Describe Azure Express Route
*Describe Azure DNS

*Introduction
*Describe Azure storage accounts
*Describe Azure storage redundancy
*Describe Azure storage services
*Exercise- Create a storage blob
*Identify Azure data migration options
*Identify Azure file movement options

*Introduction
*Describe Azure service health
*Describe azure monitor

*Introduction
*Describe tools for interacting with Azure
*Describe the purpose of Azure arc
*Describe azure resource manager and azure ARM templates

The training is designed to prepare for the AZ-900 Microsoft Azure Fundamentals exam. The course will help you learn Cloud Computing along with its services in Microsoft Azure.

AZ-900 Microsoft Azure Fundamentals Exam Training Course

self

solo

live

*Develop an App Service Logic App

* Create a Logic App

* Create a custom connector for Logic Apps

* Create a custom template for Logic Apps

*Integrate Azure Search within solutions

* Create an Azure Search index

* Import searchable data

* Query the Azure Search index

* Implement cognitive search

*Implement API Management

* Establish API Gateways

* Create an APIM instance

* Configure authentication for APIs

* Define policies for APIs

*Develop event-based solutions

* Implement solutions that use Azure Event Grid

* Implement solutions that use Azure Notification Hubs

* Implement solutions that use Azure Event Hub

*Develop message-based solutions

* Implement solutions that use Azure Service Bus

* Implement solutions that use Azure Queue Storage queues

*Develop Azure Infrastructure as a Service compute solution

*Implement solutions that use virtual machines (VM)

* Provision VMs

* Create ARM templates

* Configure Azure Disk Encryption for VMs

*Implement batch jobs by using Azure Batch Services

* Manage batch jobs by using Batch Service API

* Run a batch job by using Azure CLI, Azure portal, and other tools

* Write code to run an Azure Batch Services batch job

*Create containerized solutions

* Create an Azure Managed Kubernetes Service (AKS) cluster

* Create container images for solutions

* Publish an image to the Azure Container Registry

* Run containers by using Azure Container Instance or AKS

*Create Azure App Service Web Apps

* Create an Azure App Service background task by using web jobs

* Enable diagnostics logging

* Create an Azure Web App for containers

* Monitor service health by using Azure Monitor

*Create Azure App Service mobile apps

* Add push notifications for mobile apps

* Enable offline sync for mobile app

* Implement a remote instrumentation strategy for mobile devices

*Create Azure App Service API apps

* Create an Azure App Service API app

* Create documentation for the API by using open source and other tools

*Implement Azure functions

* Implement input and output bindings for a function

* Implement function triggers by using data operations, timers, and web hooks

* Implement Azure Durable Functions

* Create Azure Function apps by using Visual Studio

* Implement Python Azure functions

*Develop code to support scalability of apps and services

* Implement auto scaling rules and patterns (schedule, operational/system metrics, singleton applications)

* Implement code that handles transient faults

* Implement AKS scaling strategies

*Integrate caching and content delivery within solutions

* Store and retrieve data in Azure Redis cache

* Develop code to implement CDN in solutions

* Invalidate cache content(CDN or Redis)

*Instrument solutions to support monitoring and logging

* Configure instrumentation in an app or service by using Application Insights

* Analyze and troubleshoot solutions by using Azure Monitor

* Implement Application Insights Web Test and Alerts

*Implement authentication

* Implement authentication by using certificates, forms-based authentication, or tokens

* Implement multi-factor or Windows authentication by using Azure AD

* Implement oauth2 authentication

* Implement Managed identities/Service Principal authentication

* Implement Microsoft identity platform

*Implement access control

* Implement CBAC (Claims-Based Access Control) authorization

* Implement RBAC (Role-Based Access Control) authorization

* Create shared access signatures

*Implement secure data solutions

* Encrypt and decrypt data at rest and in transit

* Create, read, update, and delete keys, secrets, and certificates by using the key vault API

*Develop solutions that use storage tables

* Design and implement policies for tables

* Query table storage by using code

* Implement partitioning schemes

*Develop solutions that use Cosmos DB storage

* Create, read, update, and delete data by using appropriate APIs

* Implement partitioning schemes

* Set the appropriate consistency level for operations

*Develop solutions that use a relational database

* Provision and configure relational databases

* Configure elastic pools for Azure SQL Database

* Create, read, update, and delete data tables by using code

* Provision and configure Azure SQL Database serverless instances

* Provision and configure Azure SQL and Azure PostgreSQL Hyperscale instances

*Develop solutions that use blob storage

* Move items in Blob storage between storage accounts or containers

* Set and retrieve properties and metadata

* Implement blob leasing

* Implement data archiving and retention

* Implement Geo Zone Redundant storage

DevLabs Alliance brings you a comprehensive Microsoft Certified Azure Developer Associate certification course AZ-203.

AZ-203: Developing Solutions for Microsoft Azure - DevLabs Alliance

*Design a release strategy
*Recommend release tools
*Identify and recommend release approvals and gates
*Recommend strategy for measuring quality of release and release process
*Recommend strategy for release notes and documentation
*Select appropriate deployment patter
*Set up a release management workflow
*Automate inspection of health signals for release approvals by using release gates
*Configure automated integration and functional test execution
*Create a release pipeline (e.g., azure kubernetes service, service fabric, webapp)
*Create multi-phase release pipelines
*Integrate secrets with release pipeline
*Provision and configure environments
*Manage and modularize tasks and templates (e.g., task and variable groups)
*Implement an appropriate deployment pattern
* Implement blue-green deployments
* Implement canary deployments
* Implement progressive exposure deployments
* Scale a release pipeline to deploy to multiple endpoints (e.g., deployment groups, azure kubernetes Service, Service Fabric

*Manage code quality and security policies
* Monitor code quality
* Configure build to report on code coverage
* Manage automated test quality
* Manage test suites and categories
*Monitor quality of tests
* Integrate security analysis tools (e.g., SonarQube, White Source Bolt, Open Web Application Security Project)
*Implement a container build strategy
*Create deployable images (e.g., docker, hub, azure container registry)
*Analyze and integrate Docker multi-stage builds
*Implement a build strategy
*Design build triggers, tools, integrations, and workflow
*Implement a hybrid build process
* Implement multi-agent builds
*Recommend build tools and configuration (e.g. Azure pipelines, jenkins)
*Set up an automated build workflow

*Design an infrastructure and configuration management strategy
*Analyze existing and future hosting infrastructure
*Analyze existing infrastructure as code (iac) technologies
* Design a strategy for managing technical debt on templates
*Design a strategy for using transient infrastructure for parts of a delivery lifecycle
* Design a strategy to mitigate infrastructure state drift
*Implement Infrastructure as Code (IaC)
* Create nested resource templates
*Manage secrets in resource templates
*Provision azure resources
*Recommend an infrastructure as code (iac) strategy
*Recommend appropriate technologies for configuration management (e.g., arm templates, terraform, chef, puppet, ansible)
*Manage Azure Kubernetes Service infrastructure
*Provision Azure Kubernetes Service (e.g., using ARM templates, CLI)
*Create deployment file for publishing to Azure Kubernetes Service (e.g., kubectl, Helm)
*Develop a scaling plan
*Implement infrastructure compliance and security
*Implement compliance and security scanning
*Prevent drift by using configuration management tools
*Automate configuration management by using powershell desired state configuration (dsc)
*Automate configuration management by using a vm agent with custom script extensions
*Set up an automated pipeline to inspect security and compliance

*Recommend a migration and consolidation strategy for DevOps tools
*Analyze existing artifact (e.g., deployment packages, nuget, maven, npm) and container repositories
*Analyze existing test management tools
*Analyze existing work management tools
*Recommend migration and integration strategies for artifact repositories, source control, test management, and work management
*Design and implement an Agile work management approach
*Identify and recommend project metrics, KPIs, and DevOps measurements (e.g., cycle time, lead time, WIP limit)
*Implement tools and processes to support Agile work management
*Mentor team members on Agile techniques and practices
*Recommend an organization structure that supports scaling Agile practices
*Recommend in-team and cross-team collaboration mechanisms
*Design a quality strategy
*Analyse existing quality environment
*Identify and recommend quality metrics
*Recommend a strategy for feature flag lifecycle
*Recommend a strategy for measuring and managing technical debt
*Recommend changes to team structure to optimize quality
*Recommend performance testing strategy
*Design a secure development process
*Inspect and validate code base for compliance
*Inspect and validate infrastructure for compliance
*Recommend a secure development strategy
*Recommend tools and practices to integrate code security validation (e.g., static code analysis)
*Recommend tools and practices to integrate infrastructure security validation
*Design a tool integration strategy
*Design a license management strategy (e.g., vsts users, concurrent pipelines, test environments, open source software licensing, third-party devops tools and services, package management licensing)
*Design a strategy for end-to-end traceability from work items to working software
*Design a strategy for integrating monitoring and feedback to development teams
*Design an authentication and access strategy
*Design a strategy for integrating on-premises and cloud resources

*Recommend and design system feedback mechanisms
*Design practices to measure end-user satisfaction (e.g., send a smile, app analytics)
*Design processes to capture and analyze user feedback from external sources (e.g., twitter, reddit, help desk)
*Design routing for client application crash report data
*Recommend monitoring tools and technologies
* Recommend system and feature usage tracking tools
*Implement process for routing system feedback to development teams
*Configure crash report integration for client applications
*Develop monitoring and status dashboards
*Implement routing for client application crash report data
*Implement tools to track system usage, feature usage, and flow
* Integrate and configure ticketing systems with development team’s work management system (e.g., it service management connector, servicenow cloud management, app insights work items)
*Optimize feedback mechanisms
*Analyze alerts to establish a baseline
*Analyze telemetry to establish a baseline
*Perform live site reviews and capture feedback for system outages
*Perform ongoing tuning to reduce meaningless or non-actionable alerts

*Design a dependency management strategy
*Recommend artifact management tools and practices (Azure Artifacts, npm, Maven, Nuget
*Abstract common packages to enable sharing and reuse
*Inspect codebase to identify code dependencies that can be converted to packages
* Identify and recommend standardized package types and versions across the solution

• Refactor existing build pipelines to implement version strategy that publishes packages

Manage security and compliance

• Inspect open source software packages for security and license compliance to align with corporate standards (e.g., gplv3)

• Configure build pipeline to access package security and license rating (e.g., black duck, white source)

• Configure secure access to package feeds

*Design a version control strategy
*Recommend branching models
*Recommend version control systems
*Recommend code flow strategy
*Implement and integrate source control
* Integrate external source control
* Integrate source control into third-party continuous integration and continuous deployment (CI/CD) systems
*Implement and manage build infrastructure
* Implement private and hosted agents
* Integrate third party build systems
* Recommend strategy for concurrent pipelines
*Manage Azure pipeline configuration (e.g., agent queues, service endpoints, pools, webhooks)
*Implement code flow
*Implement pull request strategies
* Implement branch and fork strategies
*Configure branch policies
*Implement a mobile DevOps strategy
*Manage mobile target device sets and distribution groups
*Manage target ui test device sets
*Provision tester devices for deployment
*Create public and private distribution groups
*Managing application configuration and secrets
* Implement a secure and compliant development process
*Implement general (non-secret) configuration data
*Manage secrets, tokens, and certificates
*Implement applications configurations (e.g., web app, azure kubernetes service, containers
*Implement secrets management (e.g., web app, azure kubernetes service, containers, azure key vault)
* Implement tools for managing security and compliance in the pipeline

DevLabs Alliance brings you a comprehensive Microsoft Azure DevOps Solutions certification course AZ-400 that combines people, processes, and technologies.

AZ-400: Microsoft Azure DevOps Solutions - DevLabs Alliance

Cloud technology is the future. Thus, getting your hands on one of the most in-demand cloud service tools like Azure can boost the pace of your career rapidly. Join us today at DevLabs and get a professional learning experience of Microsoft’s Azure cloud platform. Learn to master cloud services and become a professional at it.

Azure

*What Is Splunk
*About Machine Data
*What does Splunk Do?
*Why Splunk
*Understanding Splunk Architecture & its Components
*Installation of Splunk and Forwarder
*Splunk Search
*Use cases and Examples

*Introduction to Configuration Management
*Introduction to Provisioning
*Infrastructure as a code
*About Terraform
*Setting up Terraform
*Understanding HCL
*Basics of Terraform — variables, templates, modules & commands
*Terraform for Local Changes
*Terraform on AWS
*Terraform on Google Cloud

*Install Git and Jenkins GitHub Plugin
*Install Maven on Our Local Box
*Configure Jenkins to Work with Java, Git and Maven
*Text Direction: Create our First Maven-based Jenkins Project
*Create our First Maven-based Jenkins Project
*CI Pipeline
*Compile
*CodeReview
*UnitTest
*CodeCoverage
*Package
*Integration with JFrog and Sonar
*Run our First Jenkins Build and Jenkins Workspace
*Trouble Shooting: Run our First Jenkins Build and Jenkins Workspace
*Triggers in Jenkins

*Introduction to Cloud Computing
*Introduction to cloud computing world
*History
*Cloud business models
*Public, Private and Hybrid cloud models
*Advantages of cloud computing
*AWS Regions and Availability zones. Tools to access services.
*AWS Cloud Setup – Free Tier
*Overview of the console
*Aws Ec2 (Elastic Compute Cloud)
*Aws S3 (Simple Storage Service)
*Security Groups

*Overview & Setup
*What is docker & why
*Docker Editions: Which Do I Use
*Docker Version Format Change in Early 2017
*Docker Support for Different OS
*Docker for Windows
*Docker for Mac
*Docker for Linux
*Docker for Linux Setup and Tips
*Download Docker CE for your Linux distribution
*Download Docker Compose

*Archive Build Artifacts
*Install and Configure Tomcat as the Staging Environment
*The latest Deploy to Container plug-in
*Jenkins Build Pipeline
*Parallel Jenkins Build
*Master and slave
*Deployment

*Docker Hub (public repo)
*Docker Trusted Registry (Private repo)
*Docker Engine
*Docker Container
*Docker Image
*Docker Compose
*Docker Swarm
*Docker Services

*Infrastructure monitoring Intro
*Nagios Core vs XI
*Setting up Nagios
*Configuring Windows & Linux Hosts
*Configuring Alerts and Email Notifications
*Plugins
*Introduction to Prometheus and Grafana
*Container monitoring with Prometheus and Grafana

*Introduction to JPaC
*Types of JPaC
*Declarative
*Scripted
*Pipeline as a code basics
*Building a basic CI pipeline as code for Java app
*Building a job from pipeline code present in GIT repo.
*Executing parallel stages in a pipeline
*Generating pipeline script & directives using Jenkins inbuilt generators

*Introduction
*Ansible Server / Ansible Controller
*Ansible and Infrastructure Management
*Ansible Server Configuration file
*How Ansible picks the configuration
*Update MISC parameters
*Ansible Inventory
*Ungrouped Hosts
*Grouped Hosts
*Groups of Groups
*checking connection to remote nodes o SSH Keys
*Using username/password
*Ansible Facts
*Ansible Playbooks
*‘hosts’ parameter
*‘become’ parameter
*‘gather_facts’ parameter
*‘tasks’ parameter
*Conditions
*Loops
*with_items
*How to store output of one task and use it in another task
*Variables
*Roles
*MISC
*Ansible Vault
*Ansible Pull
*Ansible Galaxy
*Ansible AWX (Tower)
*Use cases and Examples
*Overview of Puppet
*Comparison of Ansible and Puppet

*Evolution of Microservices
*Monolithic Architecture
*Service Oriented Architecture
*What is Microservice
*SOA vs Microservice
*Microservice Develop
*Write First Microservice
*Microservice Testing
*Testing Scenarios and Strategy
*Test at Different levels
*Deploying Microservice
*Setting Up CICD pipeline
*Touchless Deployment to Prod Environment

*What and why is Kubernetes
*Comparison with Docker Swarm
*Installation
*Components and Terminology
*Masters and Nodes
*Pods
*Replications
*Services
*Deployment

*Spin up multiple containers with Single command
*Docker Compose and the docker-compose.yml File
*Running Compose Commands
*Adding Image Building to Compose Files

*Image? What is it in Docker World?
*Official Docker Image Specification
*Centre for Images: The Docker Hub (Public)
*List of Official Docker Images
*Working with Images: image layers, tagging, Pushing to Docker Hub
*Building Images: The Dockerfile Basics
*Build Your Own Dockerfile and Run Containers

*What is DevOps?
*IT Evolution
*History of DevOps
*Different Teams Involved
*DevOps definitions
*DevOps and Software Development Life Cycle
*Waterfall Model
*Agile Model
*DevOps main objectives
*Prerequisites for DevOps
*Continuous Testing and Integration
*Continuous Release and Deployment
*Continuous Configuration Management
*Continuous Application Monitoring
*DevOps Toolsets

*Linux Introduction
*Linux commands and tools, and file operations in Linux
*User Administration
*Boot and Package Management
*Linux process and scripting
*Security Administration, Shell Scripting and Virtualization
*Networking

*Version Control System
*Centralized & Distributed Version Control System
*Anatomy of GIT
*GIT Features
*Git Commands
*3-Tree Architecture
*GITHUB Projects
*Git Repositories
*GITHUB Management and Commands
*Clone
*Checkout
*Commit
*Push
*Merge
*Pull Request
*Fork/Pull
*Git Branches
*Remote branch
*Local branch
*Advantages of Git

*Container VS. VM
*Detached and Interactive Modes
*What Happens When We Run a Container?
*What`s Going on In Containers: CLI Process Monitoring
*Getting a Shell Inside Containers
*Container Lifetime & Persistent Data Using Volumes
*Docker container Networking, default & user defined networks

*Java Compiler
*Maven Life Cycle
*Maven Installation
*Maven build requirements
*Maven POM XML File

*Getting started with Jenkins
*Overview
*How to Take this Course and How to Get Support
*About Continuous Integration
*Introduction to Jenkins and the History of Jenkins
*Install Java
*Install Jenkins
*Jenkins’ Architecture and Terms of Jenkins
*Overview of Jenkins UI:
*Dashboard and Menus
*Create Our First Jenkins Job
*Run our First Jenkins Job
*Email configuration, Global Security, Master-Slave Architecture

*Introduction to Swarm & Advantages
*How to create a swarm (cluster of nodes)
*How to add nodes to swarm
*How to deploy services/containers to swarm
*Docker stack deploy
*Introduction to UCP (universal control pane)

In training for the Certified DevOps Professional Course, you learn principles of Continuous Integration, Deployment, Monitoring, and Delivery using tools like Puppet, Nagios, Chef, Ansible, Docker, Git, Jenkins, and many more.

Certified DevOps Professional Training Course - DevLabs Alliance

*Persistent Volumes
*Volume Access Modes
*Persistent Volume Claims
*Storage Objects
*Applications with Persistent Storage

*Pod and Node Networking
*Container Network Interface (CNI)
*Service Networking
* Load Balancers
*Cluster DNS

*Deploying an Application, Rolling Updates, and Rollbacks
*Configuring an Application for High Availability and Scale
*Configuring ConfigMaps in Applications
*Creating a Self-Healing Application

* About Docker
*  Installation
*  Running Containers
*  Images
*  Volumes
*  Swarm
*  Service
*  Stack

*What is Kubernetes & why
*Kubernetes Terminology
*Kick start Kubernetes
*Comparison with Docker Swarm

*Kubernetes Master&Minnions
*Kube Api server
*etcd key-value store
*kube Scheduler
*kube Controller-manager
*Introduction to Minnions / Nodes
*kubelet
*kube-proxy
*kubectl Client

*Installation
*Initialize the cluster
*Setup the POD network
*Build high availability cluster
*Validate the cluster

*Introduction to Pods
*What is a Pod?
*Pod Lifecycle & Comparison with Docker
*Create Pods & Manage multiple containers
*Replication Controller
*Replication sets
*Deployments
*Scaling out pods using replicas
*What is a Service?
*Types of Services in k8s
*Multi Container PODs
*Namespaces
*Labels
*Kubernetes dashboard

*Monitoring the Cluster Components
*Monitoring the Applications Running within a Cluster
*Managing Cluster Component Logs
*Managing Application Logs

*Upgrading the Kubernetes Cluster
* Operating System Upgrades within a Kubernetes Cluster
*Backing Up and Restoring a Kubernetes Cluster

This Docker with Kubernetes Certification Course by DevLabsAlliance is going to focus on a training program, to build applications in containers using Docker and how to deploy those on a Kubernetes cluster.

Docker with Kubernetes Certification Course - DevLabs Alliance

*Securing the Kubernetes Cluster
*Kubernetes Security Primitives
*Cluster Authentication and Authorization
*Creating TLS Certificates

*Deploying Applications in the Kubernetes Cluster
*Deploying an Application, Rolling Updates, and Rollbacks
*Configuring an Application for High Availability and Scale
*Creating a Self-Healing Application

*Managing Data in the Kubernetes Cluster
*Persistent Volumes
*Volume Access Modes
*Persistent Volume Claims
*Applications with Persistent Storage

*Managing the Kubernetes Cluster
*Upgrading the Kubernetes Cluster
*Backing Up and Restoring a Kubernetes Cluster

*Pod Scheduling within the Kubernetes Cluster
*Configuring the Kubernetes Scheduler
*Running Multiple Schedulers for Multiple Pods
*Scheduling Pods with Resource Limits and Label Selectors
*DaemonSets and Manually Scheduled Pods
*Displaying Scheduler Events

*Building the Kubernetes Cluster on Ubuntu
*Release Binaries, Provisioning and Types of Clusters
*Installing Kubernetes Master and Nodes
*Building a Highly Available Kubernetes Cluster
*Configuring Secure Cluster Communications
*Testing The Cluster

*Cluster Communications
*Pod and Node Networking
*Container Network Interface (CNI)
*Service Networking
*Ingress Rules and Load Balancers
*Cluster DNS

*Kubernetes Terminology
*Kubernetes Architecture
*Kubernetes Cluster Architecture
*Kubernetes API Primitives
*Kubernetes Services and Network Primitives

*Comparison with Docker Swarm
*Orchestration and Various Tools
*History of Kubernetes

The Certified Kubernetes Administrator(CKA) Certification Training Program provides an excellent foundation course for the Certified Kubernetes Administrator exam by the Cloud Native Computing Foundation (CNCF)

Certified Kubernetes Administrator (CKA) Training - DevLabs Alliance

*Terraform commands & state files
*Destroying Infra with Terraform
*Understanding Attributes and Output Values in Terraform
*Understanding Provisioners in Terraform
*Understanding terraform HCL
*Terraform Variable
*Terraform Variable Types
*Outputting attributes
*Data Sources
*Terraform Modules
*Interpolation
*Conditionals
*For & For-Each loop

*Why do you need NetworkPolicy?
*Understanding Pods are not isolated by default
*Basics
*DENY all traffic to an application
*LIMIT traffic to an application
*ALLOW all traffic to an application
*Namespace’s level
*ALLOW traffic to an application from all namespaces
*ALLOW all traffic from a namespace
*ALLOW traffic from some pods in another namespace
*Advanced
*ALLOW traffic only to certain port numbers of an application
*ALLOW traffic from apps using multiple selectors
*Managing Clusters
*Managing the Kubernetes Cluster
*Upgrading the Kubernetes Cluster
*ETCD Backing Up and Restoring a Kubernetes Cluster
*Lab: Upgrading Kubernetes Cluster
*Lab: ETCD Backing Up and Restoring a Kubernetes Cluster

*Loops and Conditionals
*Handlers
*Limiting Execution by Hosts (limit)
*Limiting Execution by Tasks (tag)
*Adding and Meeting Conditionals
*Handling Errors

*Exploring the GUI
*System Configuration
*Security Configuration
*Jenkins
*Job Configuration

*Troubleshooting Playbooks
*Troubleshooting Ansible Managed Hosts
*Ordering Problems
*Jumping to Specific Tasks
*Retrying Failed Hosts
*Syntax-Check and Dry-Run
*Debugging

*Managing Plugins
*Updating Plugins
*Adding Plugins

*Why Terraform – picking the right tool
*Desired and current states
*Understanding Resources and Providers
*Terraform Code
*AWS Fundamentals & Services offered
*Automated deployment on AWS

*Pipeline Jobs
*The Blue Ocean Editor
*Scripted Pipelines
*Declarative Pipelines
*Groovy and DSL
*Jenkins File Basics
*Pipeline Triggers
*Multi branch Pipelines
*Global Libraries
*Variables and Credentials
*Dockerizing an app
*Deploying a Docker Container with Jenkins Pipelines

*Permissions
*Configuration
*Updates and Maintenance
*Notifications and Alerts (Email) and Logging

*Creating a ReplicaSet object
*Testing the behavior of ReplicaSet
*Scaling ReplicaSet
*Deleting a ReplicaSet object
*Creating a Deployment object
*Exposing Deployment Pods using Service objects
*Scaling a Deployment object
*Deleting a Deployment object
*How does a Deployment object manage revisions and version rollout?
*Updating a Deployment object
*Rolling back a Deployment object
*Deployment object best practices
*Use declarative object management for Deployments
*Do not use the Recreate strategy for production workloads
*Do not create Pods that match an existing Deployment label selector
*Carefully set up your container probes
*Use meaningful and semantic image tags
*Migrating from older versions of Kubernetes
*Lab: Deploying Application using Replication Controller
*Lab: Deploying Application using Replica Set
*Lab: Rolling Updates and Rollbacks using Deployment
*Lab: Deploying Application using Daemon Set
*Lab: Deploying StatefulSet Application
*Lab: Deploying Multi-Tier Application
*Lab: working with Job and CronJob

*Installing Helm
*Using Helm
*Chart Development Tips And Tricks
*Syncing Your Chart Repository
*Chart Releaser Action To Automate GitHub Page Charts
*Charts
*Chart Hooks
*Chart Tests
*Library Charts
*Helm Provenance And Integrity
*The Chart Repository Guide
*Registries
*Helm Architecture

*Building an Ansible Inventory
*Ansible Configuration Files
*Running Ad Hoc Commands
*Managing Dynamic Inventories
*Ansible Modules
*Ansible Plugins

*Automate common Linux system administration tasks with Ansible.

*Ubuntu
*CentOS/RedHat
*MacOS
*Windows
*Docker Container
*Deploying Jenkins in Public Cloud (AWS)

*Upload Artifacts to Jfrog artifactory
*Send Build Notifications using Slack
*Continuous Deployment to Tomcat Apache using Deploy plugin
*Integration with SonarQube to scan source code with vulnerabilities

*Intro and Overview
*Understanding What Gitops Is
*Understanding the Need for GitOps
*Understanding the Benefits of GitOps
*Understanding the Difference between GitOps and DevOps
*Understanding the Difference between GitOps and IaC
*GitOps Principles and Practices
*Summary

*Introduction to Docker Swarm
*Docker Swarm vs Kubernetes

*Intro and Topics
*Understanding GitOps Tooling
*Understanding a GitOps Architecture
*Understanding GitOps Architectural Decision Points
*Demo: Deploy New Application Using Argo CD GitOps Too
*Summary

*Understanding need of Volume service in Docker
*Understanding various Volume Plug-ins
*Create and Manage Volumes
*Start a container with a Volume
*Populate data in a Volume using a Container
*Use a read-only Volume
*Migrating Volumes between Containers
*Lab: Creating and Manage volumes

*Orchestration and Various Tools
*History of Kubernetes
*Features of Kubernetes
*What Kubernetes is not!
*Kubernetes Versions

*Kubernetes Terminology
*Kubernetes Components
*Kubernetes Cluster Architecture
*Understanding Kubernetes Master Components
*Kube-apiserver
*ETCD
*Kube-scheduler
*Kube-controller
*Kube-DNS
*Understanding Kubernetes Node Components
*Kube-proxy
*Kubelet
*Container Runtime
*Understanding the difference between the master and worker nodes

*Pod Scheduling within the Kubernetes Cluster
*Configuring the Kubernetes Scheduler
*Running Multiple Schedulers for Multiple Pods
*NodeName Taints, Tolerances, Node Selector, labels & Selectors
*Taint vs Tolerations vs Node Affinity/AntiAffinity
*Scheduling Pods with Resource Limits and Label Selectors
*Displaying Scheduler Events

*Continuous Integration
*Continuous Delivery
*Continuous Deployment
*Source Control Management
*Branches
*Artifacts
*Code Testing
*Code Vulnerabilities Scan
*Distributed Builds

*Introduction
*Docker and the Kernel
*A Linux Container Running on Windows 10
*What Is a Kernel?
*Running Linux Containers on Windows
*Jenkins on Docker
*Jenkins in a Container
*Maintaining State outside the Container
*The Docker File System
*Understanding Copy on Write
*Mounting a Volume to Your Container

*Creating, Starting and Listing Containers
*Attaching and Detaching from Container
*Fetching Container details using “inspect”
*Executing Commands inside a Container
*Pause, Stop, Start, Restart and Kill a Container
*Container Metrics via stats
*Limiting Memory and CPU utilization
*Storage Utilization of a Container
*Expose Container Application using Host Port
*Lab: Managing Container Lifecycle

*What is Docker?
*Why Docker?
*Containerization v/s Virtualization
*Docker Architecture
*Understanding the Docker components
*Docker Terminologies
*Docker Internals

*Introduction to Compose
*Understanding docker-compose file
*Docker Compose Use Cases
*Lab: Deploying Multi-tier App with Docker Compose

*Role and ClusterRole
*RoleBinding and ClusterRoleBinding
*Referring to resources
*Aggregated ClusterRoles
*Referring to subjects
*Default roles and role bindings
*Auto-reconciliation
*API discovery roles
*User-facing roles
*Privilege escalation prevention and bootstrapping
*Restrictions on role creation or update
*Restrictions on role binding creation or update

*Ansible Roles Structure
*Creating Roles
*Deploying Roles with Ansible Galaxy

*Setting up a Build Agent
*Distributing a Build
*Monitoring Build Agents

*Intro and Topics
*Understanding How GitOps Applies to Your Career
*Selling GitOps to Your Leadership
*Understanding How to Onboard GitOps On Your Next Project
*Understanding Resources For GitOps
*Summary

*Understanding various Network Plug-ins
*Understanding the default Docker Networking
*Working with Bridge Network
*Working with Host and None Networks
*Lab: Managing Docker Networking

*Describe Resources
*Pod/container logs
*Metric Server & top command
*Events
*Lab: Working on Logs and Events
*Lab: Working with Metric Server
*Lab: working with HPA

*Environment Setup
*Hardware and Software requirements
*How to install Ansible?
*How Ansible works?
*Ansible CLI

*Introduction to IaC
*Difference between GUI, CLI and IaC
*Why IaC
*Multiple Tools and services available for IaC
*Terraform Basics

*Artifacts and Fingerprints
*Linking Jobs
*Automating Jobs
*Triggering Builds with Git Hooks

*Application LivenessProbe
*What is LivenessProbe and why do you need it?
*Implementing LivenessProbe
*Application ReadinessProbe
*Why do you need ReadinessProbe?
*Implementing ReadinessProbe
*Using ReadinessProbe and LivenessProbe together
*Application Startupprobe
*Lab: Working with LivenessProbe and ReadinessProbe

*SSH Keys
*Configure Ansible Vault
*Securing Passwords Using Vault
*Executing with Ansible Vault

*SCM in Builds
*Build Tools (Maven)
*Testing and Test Reports

Learn the skills to bridge the gap between software development and deployment. Our DevOps course helps you master the skills of a DevOps engineer in no time. From knowing about various cloud services to delivering high-quality products, learn how everything works in the professional world. Be a master at DevOps and see your career take a leap ahead of others.

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