DevOps Advance Certification Training Course

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Certified DevOps Advance Training

Certified DevOps Advanced Training is a comprehensive program designed to equip professionals with advanced skills and knowledge in the field of DevOps. It equips participants with the expertise needed to tackle complex challenges in software delivery, infrastructure management, and collaboration.

Advance DevOps is an approach that emphasizes collaboration, automation, and integration between development and IT operations to achieve faster and more reliable software delivery. This training goes beyond the basics and delves into more complex and intricate aspects of DevOps, equipping participants with the skills required to excel in demanding DevOps roles.

+48 Hours

Practical Session

1000

Students Enrolled

Advanced

Level

51

Modules

About Certified DevOps Advance Training

The training covers advanced concepts and methodologies related to DevOps, including containerization, microservices architecture, serverless computing, continuous delivery, and infrastructure as code (IaC). Participants will gain a deeper understanding of how these concepts contribute to achieving faster development cycles, increased efficiency, and improved software quality.

Participants will learn how to design, implement, and manage complex and sophisticated continuous integration and continuous delivery (CI/CD) pipelines. This includes integrating a wide range of tools and technologies to automate the build, test, and deployment processes across various environments.

Advanced DevOps training covers containerization platforms like Docker and orchestration tools like Kubernetes. Participants will explore advanced containerization techniques, container security, and how to manage large-scale containerized applications using Kubernetes for automated deployment, scaling, and management using various tools.

Who Can Take This Course

This training course is designed to suit participants at all levels of experience including developers, project managers, solution architects.

Suitable For

Software Developers
Technical Project Managers
Solution Architects
Operations Support
Deployment engineers
Software Testers
Security Engineers
Integration Specialists

Total Skills Covered

DevOps Methodology

Continuous Integration

Continuous Delivery

Configuration Management

Containerization

Linux

Source Control

Deployment Automation

Cloud Platforms

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Certified DevOps Advance Certification

Devlabs Alliance has partnered with DevOpsUniversity to impart certified DevOps courses. DevLabs Alliance grants valuable DevOps certifications to IT professionals, who want to excel or build their careers in the emerging world of DevOps.

Sample Certificate

DevLabs Alliance's certified professionals do work for prominent international corporations such as Accenture, Optum, Capgemini, Cognizant, TCS, Wipro, IBM, Sapient, Nucleus, Oracle, Expedia, and more.
To gain access to DevLabs Alliance's courses and their corresponding certifications, you need to adhere to the following steps:

Successfully complete and submit the practical assignments assigned during the course.
The DevLabs Alliance team of seasoned experts and practitioners will assess the assignments you submit.
Your assessment results will be communicated to you, and certification will be granted accordingly.

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Choose your own way to learn

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48+ Hours Live - Online Training

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Doubt Clearing Sessions

Certification Guidance

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Doubt Clearing Sessions

Certification Guidance

Flexible Schedule

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Program Curriculum

Total Chapters 51

1: Understanding GitOps

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

2: Understanding GitOps Architecture and Tooling

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

3: Understanding GitOps Workflow

Intro and Topics

Enabling a GitOps IaC Workflow

Enabling a GitOps Workflow Using Flux

Demo: GitOps in Action with Azure Arc Enabled Kubernetes

Summary

4: Adopting GitOps Next Steps

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

5: Docker Introduction

What is Docker?

Why Docker?

Containerization v/s Virtualization

Docker Architecture

Understanding the Docker components

Docker Terminologies

Docker Internals

6: Docker Installation

Docker Editions

Hardware and Software Requirements

Installing Docker

Docker Config Files and Settings

Lab: Installing Docker on Linux

7: Managing Container Lifecycle

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

8: Working with Docker Images

Searching, Filtering and Pulling Images

Docker Image save/load

Commit Container State

Understanding Docker Image Directives

Understanding the use of Base Images

What is “FROM scratch”?

RUN vs CMD

COPY vs ADD

Building Custom Images using Dockerfile

Understanding Image Layers

Publishing the Custom Image

Flatten an Image using export/import

Tagging Images

Working with Docker Hub

Pushing Docker Images to Docker Hub

Working with Local Registry Service

Lab: Working with Docker Images

Lab: Building Custom Images

Lab: Working with Docker Hub

Lab: Setting up Local Registry Service

9: Docker Volume Management

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

10: Docker Networking

Understanding various Network Plug-ins

Understanding the default Docker Networking

Working with Bridge Network

Working with Host and None Networks

Lab: Managing Docker Networking

11: Docker Compose

Introduction to Compose

Understanding docker-compose file

Docker Compose Use Cases

Lab: Deploying Multi-tier App with Docker Compose

12: Docker Swarm

Introduction to Docker Swarm

Docker Swarm vs Kubernetes

13: Kubernetes Platform

Orchestration and Various Tools

History of Kubernetes

Features of Kubernetes

What Kubernetes is not!

Kubernetes Versions

14: Kubernetes Architecture

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

15: Kubernetes Setup and Validation

Understanding different tools for deploying Kubernetes Cluster

Release Binaries, Provisioning and Types of Clusters

Building the Kubernetes Cluster using kubeadm

Installing Kubernetes Master and Nodes

Configuring Secure Cluster Communications

Testing the Cluster

Lab: Deploying Kubernetes Cluster using Kubeadm

Lab: Adding Nodes to Kubernetes Cluster

16: Working with Pod

Pod Overview

Creating a Pod with imperative syntax

Creating a Pod with declarative syntax

Reading the Pod's information and metadata

Listing the objects in JSON or YAML

Backing up your resource using the list operation

Getting more information from the list operation

Accessing a Pod from the outside world

Entering a container inside a Pod

Deleting a Pod

Understanding Pod Lifecycle

Multi-container Pod

Concrete scenarios where you need multi-container Pods

When not to create a multi-container Pod

Creating a Pod made up of two containers

What happens when Kubernetes fails to launch one container in a Pod?

Deleting a multi-container Pod

Understanding the Pod deletion grace period

Accessing a specific container inside a multi-container Pod

Running commands in containers

Overriding the default commands run by your containers

Static Pod

Init Containers

Sidecar container pattern

Labeling and annotating the Pods

What are labels and why do we need them

What are annotations and how do they differ from labels

Adding a label

Listing labels attached to a Pod

Adding or updating a label to/of a running Pod

Deleting a label attached to a running Pod

Adding an annotation

Lab: Imperative Commands and Formatting Output with kubectl

Lab: Working with Single Container Pods

Lab: Creating multi container Pod

Lab: Creating init container Pod

Lab: Working with Static Pod

Lab: Working with label and selector

17: Kubernetes Networking and Service

Cluster Communications

Pod and Node Networking

Container Network Interface (CNI)

Service Networking

ClusterIP, NodePort & Load Balancer

Understanding Pod IP assignment

Understanding Pod IP assignment is dynamic

Never hardcode a pod's IP addresses in your application code

Understanding how services route traffic to Pods

Understanding how DNS names are generated for services

Understanding the different types of services

Why do you need ClusterIP services?

ClusterIP services to expose my Pods?

Listing ClusterIP services

Creating ClusterIP services using the imperative way

Describing ClusterIP services

Creating ClusterIP services using the declarative way

Deleting ClusterIP services

Understanding headless services

Why do you need NodePort services?

Understanding NodePort

YAML definition

Making sure NodePort works as expected

Listing NodePort services

Adding more Pods to NodePort services

Describing NodePort services

Deleting NodePort services

NodePort or kubectl port-forward?

Ingress Rules

Cluster DNS

Lab: Exposing Applications using various types of Services

Lab: Install and Configure Ingress Controller to expose nginx based Service

18: Application Lifecycle Management using Kubernetes Controllers Controllers

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

19: Logging and Monitoring

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

20: Working with Kubernetes Scheduler (Advance Scheduling)

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

21: Storage

Managing Data in the Kubernetes Cluster

EmptyDir, hostPath, PV, PVC, StorageClass

Volume Access Modes

Applications with Persistent Storage

ConfigMaps

Secrets

Lab: Working with Kubernetes Volume Service

Lab: Configuring Dynamic Volume Service

Lab: Working with ConfigMaps and Secrets

22: Application Health

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

23: Using RBAC Authorization

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

24: Securing your Pods using the NetworkPolicy object

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

25: Helm-Introduction

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

26: Introduction to Ansible

What is Ansible and Features

History and Releases

Agent versus Agentless

Ansible Architecture

Infrastructure as Code

Idempotency

Use cases

27: Installing Ansible

Environment Setup

Hardware and Software requirements

How to install Ansible?

How Ansible works?

Ansible CLI

28: Deploying Ansible

Building an Ansible Inventory

Ansible Configuration Files

Running Ad Hoc Commands

Managing Dynamic Inventories

Ansible Modules

Ansible Plugins

29: Ansible Playbooks Anatomy

Hosts

Tasks

Plays

Playbook Execution

30: Ansible Foundation

Managing Variables

Managing Facts

31: Ansible Task control execution

Loops and Conditionals

Handlers

Limiting Execution by Hosts (limit)

Limiting Execution by Tasks (tag)

Adding and Meeting Conditionals

Handling Errors

32: Modular Configuration with Ansible Roles and Galaxy

Ansible Roles Structure

Creating Roles

Deploying Roles with Ansible Galaxy

33: Optimizing Ansible

Selecting Hosts with Host Pattern

Configuring Delegation

Configuring Parallelism

34: SSH Key and Credentials Management

SSH Keys

Configure Ansible Vault

Securing Passwords Using Vault

Executing with Ansible Vault

35: Automate Linux administration tasks

Automate common Linux system administration tasks with Ansible.

36: Troubleshooting, Testing, and Validation

Troubleshooting Playbooks

Troubleshooting Ansible Managed Hosts

Ordering Problems

Jumping to Specific Tasks

Retrying Failed Hosts

Syntax-Check and Dry-Run

Debugging

37: Infrastructure as Code

Introduction to IaC

Difference between GUI, CLI and IaC

Why IaC

Multiple Tools and services available for IaC

Terraform Basics

38: Terraform Introduction

Why Terraform – picking the right tool

Desired and current states

Understanding Resources and Providers

Terraform Code

AWS Fundamentals & Services offered

Automated deployment on AWS

39: Terraform Fundamentals

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

40: DevOps Practices and Methodologies (2 hrs)

Continuous Integration

Continuous Delivery

Continuous Deployment

Source Control Management

Branches

Artifacts

Code Testing

Code Vulnerabilities Scan

Distributed Builds

41: Jenkins Installation (2hrs)

Ubuntu

CentOS/RedHat

MacOS

Windows

Docker Container

Deploying Jenkins in Public Cloud (AWS)

42: Jenkins Graphical User Interface (3 hrs)

Exploring the GUI

System Configuration

Security Configuration

Jenkins

Job Configuration

43: Jenkins Plugins (1 hrs)

Managing Plugins

Updating Plugins

Adding Plugins

44: Freestyle Jobs (3 hrs)

Basic Job Structure

Parameters

Build Environment

Build Step

Post Build Step

Notifications

Building a Free Style Job in Jenkins

45: Agents and Distributed Builds (4 Hrs)

Setting up a Build Agent

Distributing a Build

Monitoring Build Agents

46: Source Control Management, Build Tools and Test Reports (3 hrs)

SCM in Builds

Build Tools (Maven)

Testing and Test Reports

47: Upstream, Downstream and Triggers (3 Hrs)

Artifacts and Fingerprints

Linking Jobs

Automating Jobs

Triggering Builds with Git Hooks

48: Jenkins Pipeline (6 Hrs)

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

49: Jenkins in Docker (6 Hrs)

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

50: Jenkins Integrations (3 Hrs)

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

51: Jenkins Administration (3 Hrs)

Permissions

Configuration

Updates and Maintenance

Notifications and Alerts (Email) and Logging

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What Our Students Are Saying

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Fabio Artuso

When you love the process of learning, you can learn anything.. Thank you DevLabs Alliance for introducing me to the DevOps culture. I am sure I gained valuable knowledge and practical experience about some of the most important technologies in the DevOps industry like Jenkins, Docker, Kubernetes, Ansible, Terraform and more.

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I am happy to inform that I completed DevOps curriculum provided by DevOps University and got certified as DevOps Engineer - Professional. I had a great hands-on experience with different DevOps tools like Git, Jenkins, Docker, Kubernetes, Ansible, Terraform and Splunk. It also helped me to get practical knowledge on CICD pipelines.

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