DevOps-Engineer-Training-Courses -Online

Sr. Cloud Architect
Trained 10,000+ Students & Professionals
Khaja Ibrahim
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Our journey together will be full of hands-on experiences, practical
exercises, and real-world projects that will not only build your
technical skills but also prepare you to excel in the fast-paced, ever
evolving world of Cloud And I wanted to make it more individual for
you based on your background from which you are
Hello there! It's a pleasure to connect with you all, my future DevOps
engineers. I'm Khaja, and I'm absolutely thrilled to have the opportunity to
guide you on this exciting journey into the world of DevOps. Over the years,
I've had the privilege of teaching thousands of students, and I must say,
watching them embark on their DevOps adventure has been nothing short
of amazing.
Sr. Cloud Architect
Trained 10,000+ Students & Professionals
Khaja Ibrahim

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Transition into DevOps
u zero knowledge or very little IT knowledge
u system administrator
u software developer
u test engineer
u network engineer
u database administrators
u middle ware administrators
DevOps is not just a methodology; it's a cultural shift, a mindset that bridges the gap between
development and operations to faster collaboration, automation, and continuous improvement. This
course is designed to be your gateway to the dynamic and evolving landscape of DevOps, equipping
you with the skills and insights needed to thrive in a world where speed, efficiency, and innovation are
paramount.
In an era where the pace of technological change is unprecedented, DevOps emerges as the
linchpin that accelerates the delivery of high-quality software. It's about breaking down silos,
automating repetitive tasks, and fostering a culture of collaboration and continuous learning. Whether
you're a seasoned IT professional or someone venturing into the tech realm, the principles of DevOps
are applicable and transformative.
In this course, we will delve into the core principles and practices of DevOps, exploring topics such as
version control, continuous integration, continuous delivery, and infrastructure as code. But more than
just theory, we'll engage in hands-on exercises that simulate real-world scenarios, ensuring you gain
practical experience in implementing DevOps methodologies.
Our goal is not just to equip you with a toolkit of DevOps tools (although we will certainly do that!), but to
instill in you the DevOps mindset. You'll learn not just how to use tools like Jenkins, Docker, Kubernetes and
Ansible, but also how to integrate them into a seamless and automated pipeline that enhances
collaboration and accelerates delivery.
Your success in this course is not just a milestone; it's a testament to the power of embracing DevOps
principles. As you progress through the modules, you'll find that DevOps is not just a set of practices; it's a
philosophy that transforms the way we approach software development and delivery.
So, buckle up for a journey where you'll not only acquire technical skills but also cultivate a mindset that
embraces change, values collaboration, and drives continuous improvement. Whether you're looking
to advance in your current role, transition into a DevOps position, or simply stay ahead of industry trends,
DevOps is your compass to navigate the ever-evolving landscape of technology.
Welcome to the DevOps revolution. Let's build, automate, and innovate together!

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Software Development Concepts
As a DevOps engineer you may not be
programming the application, but as you
are working closely with the development
team to improve and automate tasks for
them,
How developers work and collaborate
(Agile, AWS DevOps workflows)
How applications are configured
(Build & packaging Tools)

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Linux For the Job
Basic Concepts
Why Ansible?
Ansible
u Shell Commands
u File System & Permissions
u User Management
u SSH Key Management
u Package Management
u Process Management
u Disk Management
u Networking
u Shell Scripting and Automation
u Network Configurations
u DNS, Load Balancers and Proxies
Linux is the foundation of most server environments, and DevOps and cloud engineers need to be
proficient in Linux to manage and automate server configurations.
Ansible is a powerful open-source automation tool
used in software development and IT operations
for a variety of reasons, especially when building
complex systems.
Think of Ansible as a super-efficient butler for your
complex system. Here's why you'd want this helpful
butler:
Automation: Ansible can take care of repetitive and time-consuming tasks automatically, like setting up
servers, installing software, and making sure everything runs smoothly. This frees up your time and
reduces the chances of mistakes.
Consistency: Imagine having a butler who makes sure everything in your house is in the right place and
working perfectly every day. Ansible does the same for your system, ensuring everything is set up exactly
as it should be, no matter how many parts your system has.
Organization: Ansible helps you keep track of all the things happening in your system, like making sure
the lights turn on before the coffee maker starts. It helps you manage complex processes, so nothing
gets missed.
Scalability: When you have a big house, you need your butler to manage everything smoothly, whether
you have a few guests or a big party. Ansible does the same for your system, making sure it works just as
well whether you have a few users or thousands.

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Safety and Security:
Ansible also acts like a security guard, making sure all the doors are locked and the alarm is set. It helps
you keep your system safe from threats and ensures it follows all the rules.
Ease of Use:
Just like a butler who knows your preferences, Ansible can be customized to fit your system's unique
needs. It's like having a butler who knows exactly how you like things done.
Ansible is like having a reliable and efficient helper that takes care of all the complex tasks in your
system, making sure everything runs smoothly and consistently while giving you more time to focus on
the important stuff.
What you would be learning?
u Inventory and Ad-Hoc Commands
u Roles and Role-Based Organization
u Error Handling and Handlers
u Ansible Vault and Security
u Ansible Best Practices and Optimization
u Integrating Ansible with Other Tools
u Real-World Complex System Scenarios
u Troubleshooting and Debugging
u Case Studies
Additional Tasks
Multi-Tier Web Application: Build an Ansible playbook to deploy a multi-tier web application, including
setting up web servers, application servers, and databases.
Automated Deployment Pipeline: Set up a CI/CD pipeline using Jenkins, GitLab CI/CD, or Travis CI,
where Ansible automates the deployment of code to different environments (e.g.development,
staging, production).
Server Configuration Management: Develop Ansible roles and playbooks to manage server
configurations, including software installations, system updates, and security hardening.
Application Deployment: Develop Ansible playbooks for deploying various applications (e.g., web
apps, databases) with different configurations.
Rolling Updates: Create Ansible scripts to perform rolling updates of applications to minimize
downtime.

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Version Control System using Git
Why Git?
Git is essential for DevOps engineers working on complex systems
because it plays a crucial role in enabling collaboration,
automation, and version control within the DevOps lifecycle. Here's
why Git is important for DevOps engineers in simple terms
Collaboration Backbone:
Git serves as the backbone for collaboration among DevOps
engineers, developers, and other team members. It allows
multiple individuals to work on the same codebase simultaneously
without conflicts, ensuring that everyone is on the same page.
Version Control Magic:
Git is like a magic time machine for code. It lets DevOps engineers
track changes to code over time, making it easy to revert to earlier
versions if something goes wrong. This ensures that the system can
be rolled back to a stable state in case of issues.
Infrastructure as Code (IaC): DevOps often involves managing
infrastructure as code, where server configurations and
deployments are defined in code. Git helps DevOps engineers
version and manage this code, making it reproducible,
shareable, and auditable.
Automated Pipelines:
Git integrates seamlessly with CI/CD (Continuous Integration/Continuous Deployment) pipelines.
DevOps engineers can use Git to trigger automated builds, tests, and deployments whenever
changes are pushed to the code repository, streamlining the software delivery process.
Branching Strategies: Git's branching and merging capabilities enable DevOps engineers to
implement advanced strategies, such as feature branching and release management. This
makes it possible to work on new features or fixes separately from the main codebase and merge
changes in a controlled manner.
Configuration Management: Git can be used to manage configuration files for various
infrastructure components. DevOps engineers can version control configurations, making it easier
to track changes, audit configurations, and maintain consistency across environments.
Collaborative Problem Solving: In complex systems, issues and bugs are inevitable. Git provides
tools for issue tracking and collaborative problem-solving. DevOps engineers can use Git
alongside issue tracking systems to manage and resolve problems efficiently.
Cross-Team Collaboration: DevOps often involves collaboration between different teams, such
as development, operations, and security. Git serves as a common platform for these teams to
coordinate their efforts, ensuring that everyone has access to the latest code and configurations.

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Auditing and Compliance:
Git's version history and commit logs provide an audit trail of changes made to the system. This is
valuable for compliance purposes and for demonstrating that security and regulatory
requirements are met.
Git is like the control center for DevOps engineers. It helps them manage code, configurations, and
collaboration seamlessly, ensuring that complex systems can be developed, deployed, and
maintained with efficiency, reliability, and accountability. It's a foundational tool in the DevOps
toolbox.
Imagine SonarQube as a guardian for your code, helping DevOps engineers ensure that the
software they build is of high quality and free from hidden issues. Here's why DevOps engineers
need SonarQube in simple terms
Code Quality Detective: SonarQube acts like a detective for your code, carefully inspecting it for
problems, like spelling mistakes in a book. It identifies code quality issues, security vulnerabilities,
and bugs that might otherwise go unnoticed.
Early Warning System: Just as a smoke detector alerts you to a fire before it spreads, SonarQube
warns DevOps engineers about code problems early in the development process. This prevents
issues from becoming major fires (or bugs) later on.
Security Guard: SonarQube plays the role of a security guard, scanning your code for weaknesses
and vulnerabilities that could be exploited by malicious actors. It helps ensure that your software is
as secure as possible.
Consistency Checker: Like a proofreader checking for consistent language usage in a
document, SonarQube enforces coding standards and best practices across your codebase. This
helps maintain a uniform and readable codebase, making it easier for teams to collaborate.
u Introduction to Version Control and Git
u Basic Git Commands
u Branching and Merging
u Remote Repositories and GitHub
u Collaborative Workflows
u Git Rebase and Interactive Rebase
u Git Cherry-Pick and Reset
u Git Hooks and Continuous Integration
u Branching Strategies
Static Code Analysis
using SonarQube
Why SonarQube ?

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Continuous Improvement Coach: SonarQube doesn't just find issues; it also offers suggestions for
improvement. It's like having a coach who provides tips and guidance on how to make your code
better and more efficient.
Tracking Progress: SonarQube keeps track of your code's health over time. It's similar to tracking
your fitness progress in a workout app. DevOps engineers can see if code quality is improving or if
there are recurring issues that need attention.
Team Collaboration: SonarQube acts as a common ground for developers, testers, and DevOps
engineers to discuss and prioritize code improvements. It helps teams work together to maintain
and enhance the quality of the software.
In simple terms, SonarQube is your code's guardian angel, watching over it, finding issues, and
helping DevOps engineers ensure that the complex systems they build are reliable, secure, and of
the highest quality. It's an essential tool for building and maintaining software that meets high
standards.
u SonarQube Basics
u Code Analysis Concepts
u Quality Gates and Metrics
u Identifying Code Issues
u SonarQube Plugins
u Integration with CI/CD Pipelines
u Custom Rules and Quality Profiles
u Reporting and Notifications
Think of Artifactory as a treasure chest for DevOps engineers, storing
valuable software artifacts like code, libraries, and dependencies.
Here's why DevOps engineers need Artifactory in simple terms
Artifact Safekeeper:
Artifactory is like a secure vault where you can store and
manage all the pieces of software that make up your
applications. This includes code, libraries, and other
important building blocks.
Version Control:
Just as a library organizes books by category and edition,
Artifactory helps DevOps engineers keep track of different
versions of software artifacts. This ensures that the right
versions are used in the right places.
Artifactory (Jfrog)
Why Artifactory?

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Efficient Sharing:
Artifactory acts like a library card system. It allows DevOps engineers to share and distribute
software artifacts easily among team members, ensuring everyone has access to the same
resources.
Dependency Management:
When building complex systems, software often relies on other pieces of software. Artifactory helps
manage these dependencies, making sure the right components are available when needed.
Reproducible Builds:
Artifactory ensures that builds can be recreated exactly as they were before, just like following a
recipe. This reproducibility is crucial for troubleshooting and maintaining consistent software.
Security Guard:
In a world full of threats, Artifactory acts as a security guard. It scans and verifies software artifacts to
prevent vulnerabilities and unauthorized access.
High Availability:
Artifactory is always available, like a 24/7 library. It ensures that software artifacts are accessible
when developers and systems need them, without interruptions.
Remote Repositories:
Just as you can borrow books from libraries in different cities, Artifactory can connect to remote
repositories. This means you can access software artifacts from all over the world.
Metadata Magic:
Artifactory provides metadata about artifacts, like a catalog for books. This metadata helps
DevOps engineers search, organize, and understand the software they're using.
In simple terms, Artifactory is like a well-organized and secure library for software artifacts. It keeps
everything in order, ensures that software is safe and accessible, and makes it easy for DevOps
engineers to build and maintain complex systems with confidence.
u Artifactory Basics
u Managing Artifacts
u Repository Management
u Version Control and Dependency Management
u Metadata and Properties
u Integration with Build Tools
u CI/CD Pipeline Integration

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Think of Azure DevOps as a toolbox that helps DevOps
engineers build, test, and deliver software with speed, quality,
and collaboration. Here's why DevOps engineers need Azure
DevOps in simple terms:
Project Organizer:
Azure DevOps acts like a project manager's whiteboard. It
helps DevOps engineers plan and organize their software
projects, breaking them into smaller tasks and tracking progress.
Code Workshop:
Just as a workshop needs tools, Azure DevOps provides a space for DevOps engineers to work on
code collaboratively. It stores and manages code, ensuring everyone is on the same page.
Testing Playground:
Imagine a playground where kids test their ideas. Azure DevOps offers tools for automated testing,
making sure that the software works correctly and reliably.
Delivery Pipeline:
Like a conveyor belt in a factory, Azure DevOps automates the process of packaging and delivering
software. It ensures that the right version of the software reaches the right place at the right time.
Collaboration Hub:
DevOps is all about teamwork. Azure DevOps serves as a virtual meeting room where developers,
testers, and operations folks can work together, share insights, and resolve issues.
Quality Inspector:
Just as a food inspector ensures that restaurants follow health standards, Azure DevOps checks the
quality of code. It spots issues and helps fix them before they become problems.
Feedback Collector:
Like a suggestion box, Azure DevOps gathers feedback from users and team members. This feedback
helps DevOps engineers improve the software continuously.
Security Guard:
In a world full of cyber threats, Azure DevOps acts as a security guard. It ensures that the software is safe
from vulnerabilities and follows security best practices. Reports and Dashboards: Azure DevOps
provides reports and dashboards like a scoreboard in a game. It helps DevOps engineers see how the
project is performing and where improvements
are needed.
Integration Hub:
In a complex system, various tools need to work together. Azure DevOps acts as an integration hub,
connecting with other tools and services that DevOps engineers use.
Azure DevOps
Why Azure DevOps?

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u Azure DevOps Overview
u Setting up a Sample Project
u Version Control with Azure Repos
u Azure Pipelines Basics
u Advanced Pipeline Configurations
u Test Planning with Azure Test Plans
u Automated Testing with Azure DevOps
u Application Insights and Monitoring
u Continuous Improvement and Feedback
u Release gates, deployment strategies, and infrastructure as code (IaC) integration
Additional Tasks
u CI/CD Pipeline for Web Application
u Infrastructure as Code (IaC) with Azure DevOps
u Microservices Deployment
u Release Management for Multi-Tier Application
u Infrastructure Compliance and Security Scanning
u Deployment to Multiple Cloud Providers
u High Availability (HA) Deployment
u Serverless Application Deployment
Jenkins
Why Jenkins?
Think of Jenkins as a tireless and efficient worker in a
factory, helping DevOps engineers build, test, and deliver
software smoothly. Here's why DevOps engineers need
Jenkins in simple terms:
In simple terms, Azure DevOps is like a Swiss Army knife for DevOps engineers. It offers a set of essential
tools and a collaborative workspace that helps streamline the software development and delivery
process, ensuring that the complex systems they build are efficient, secure, and reliable.

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Automation Hero:
Jenkins is like a robot that can automate repetitive tasks in the software development process. It can
compile code, run tests, and even deploy applications automatically.
Time Saver:
Just as a dishwasher saves you time and effort in cleaning dishes, Jenkins saves DevOps engineers
time by handling time-consuming tasks like building and testing code continuously.
Consistency Keeper:
Jenkins ensures that every step in the development process is done the same way every time, like a
chef following a recipe. This consistency minimizes errors and makes software more reliable.
Team Coordinator:
In a team effort, Jenkins acts as a coordinator, making sure everyone is on the same page. It ensures
that code changes from different team members work together seamlessly.
Quick Feedback: Jenkins provides rapid feedback on code changes. It's like a quick taste test in a
kitchen, helping developers catch problems early, before they become major issues.
Scaling Helper: Just as a forklift helps move heavy objects, Jenkins can scale to handle large and
complex software projects effortlessly. It can manage multiple tasks simultaneously.
Integrator of Tools: Jenkins plays well with others, integrating with various tools and technologies used in
DevOps, such as Git, Docker, and cloud platforms. It connects the different parts of the development
process.
Always Available: Jenkins is always ready to work, 24/7. It's like a tireless factory worker who doesn't take
breaks, ensuring that code is built and tested whenever needed.
Cost Saver:
By automating tasks, Jenkins can save money by reducing the need for manual labor and preventing
costly errors that might occur during manual processes.
In simple terms, Jenkins is like a dependable and efficient assistant in a DevOps engineer's toolkit. It
takes care of repetitive tasks, ensures that everything runs smoothly, and helps teams deliver high-
quality software faster and more reliably.
u Jenkins Basics
u Creating Your First Jenkins Job
u Source Code Management Integration
u Introduction to Jenkins Pipelines
u Scripted and Declarative Pipelines
u Jenkins Plugins and Extensions
u Continuous Integration and Continuous Deployment (CI/CD) with Jenkins
u Distributed Jenkins and Scaling
u Jenkins Security and User Management
u Integrations with SonarQube, Artifactory etc

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Additional Tasks
u CI/CD Pipeline for Web Application
u Infrastructure as Code (IaC) Integration
u Container Orchestration and Deployment
u Multi-Branch Pipeline
u Deployment to Multiple Cloud Providers
u Integration with Automated Security Scanning
u GitOps Workflow
u Artifact Promotion and Versioning
u Blue-Green Deployment
Terraform
Why Terraform?
Think of Terraform as a magical blueprint for
building and managing the infrastructure that
supports your software applications. Here's why
DevOps engineers need Terraform in simple terms
Infrastructure Wizardry:
Terraform is like a wizard's spellbook for creating
and managing servers, databases, and other
infrastructure components. It allows DevOps
engineers to describe their desired infrastructure in
a simple, human-readable language.
Consistency Enforcer:
Just as a recipe ensures that you make the same
delicious dish every time, Terraform ensures that
your infrastructure is consistent. It creates and configures resources exactly as you specify, reducing
errors and surprises.
Efficiency Booster:
Terraform automates the process of creating, modifying, and destroying infrastructure. It's like having
an army of helpers who can set up servers and services in minutes instead of hours or days.
Multi-Cloud Harmony:
Terraform is cloud-agnostic, meaning it works with different cloud providers like AWS, Azure, and Google
Cloud. It lets DevOps engineers manage infrastructure across multiple clouds with a single set of
commands.
Version Control Friend:
Just as you save different versions of your document, Terraform lets you version-control your
infrastructure. This means you can track changes over time and easily roll back to previous
configurations if needed.

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Collaboration Facilitator:
Terraform enables teamwork. Multiple DevOps engineers can work on the same infrastructure code,
and Terraform helps merge their changes and maintain consistency.
Risk Minimizer:
Like a safety net, Terraform can help recover from disasters. If something goes wrong, you can use your
Terraform code to rebuild your infrastructure exactly as it was before.
Security Sentinel:
Terraform helps ensure that your infrastructure is configured securely. It can enforce security policies
and best practices, reducing vulnerabilities.
In simple terms, Terraform is like having a magic wand for setting up and managing the servers,
databases, and other technology that your software needs to run. It makes sure everything is built
correctly, saves time, and keeps everything organized and consistent, whether you're working in one
cloud or many.
u Terraform Basics
u Terraform Configuration Language (HCL)
u Resource Types and Providers
u Variables and Data Sources
u Terraform State
u Collaboration and Version Control
u Modules and Code Organization
u Workspaces and Environments
Additional Tasks
u Multi-Cloud Deployment
u Web Application Deployment
u Container Orchestration
u Infrastructure for Microservices
u High Availability (HA) Architecture
u Multi-Region Deployment
u Continuous Integration and Deployment (CI/CD) Pipeline
u Monitoring and Alerting Infrastructure
u Logging and Observability Stack

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Think of Docker as a magic box where you can package
everything your software needs to run, no matter where it
goes. Here's why DevOps engineers need Docker in
simple terms
Consistency Creator:
Docker ensures that your software runs the same way on
every computer, from your laptop to a server in the
cloud. It's like a recipe that guarantees the same
delicious meal every time.
Easy Shipping:
Just as you can ship a package anywhere in the world,
Docker lets you package your software and all its parts (code,
libraries, settings) into a neat container. This container can be
sent to any computer that runs Docker, and it will work without
any fuss.
Resource Saver:
Docker helps save resources because it uses less space and memory compared to traditional
methods. It's like packing your suitcase efficiently for a trip, making the most of the available space.
Quick Start:
With Docker, you can start new projects or services in minutes, rather than hours or days. It's like having a
chef who prepares everything in advance, so you can cook a meal faster.
Scaling Made Simple: When your software becomes popular, Docker makes it easy to run more
copies of it to handle the extra load. It's like having a bakery that can quickly make more loaves of
bread when there are more customers.
Security Shield: Docker helps keep your software safe. It's like having a protective shield around your
application, making sure it doesn't interfere with other software on the same computer.
Flexibility Friend:
Docker plays well with others. It can work with many different types of software and technologies,
making it flexible and adaptable to your needs.
In simple terms, Docker is like a magic container that holds everything your software needs, making it
easy to move around, quick to start, and consistent in its behavior, while saving resources and keeping
your software secure. It's a valuable tool for DevOps engineers to manage and deploy complex
systems.
Docker
Why Docker ?

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Think of Kubernetes as a smart traffic cop for your software. Here's why
DevOps engineers need Kubernetes in simple terms:
Traffic Manager:
Kubernetes manages the flow of your software, just like a traffic cop directs
cars on the road. It ensures that your applications run smoothly, traffic is
balanced, and there are no jams.
Auto-Pilot for Containers:
Imagine having a team of robots to handle containers (the boxes that
hold your software). Kubernetes automates tasks like starting, stopping,
and moving containers, making your software run reliably.
Scaling Guru:
When your software becomes popular, Kubernetes can quickly create
more copies to handle the load, like opening extra lanes on a highway
during rush hour.
Fault Detective:
If something goes wrong with a container, Kubernetes can replace it with a
fresh one, just like getting a new car if your old one breaks down.
u Docker Basics
u Working with Containers
u Docker CLI and Docker Hub
u Container Networking
u Data Management with Volumes
u Docker Compose
u Docker Images and Registries
Additional Tasks
u Dockerized Web Application
u Containerized Dev/Test Environments
u Dockerized Legacy Application
u Container Security Scanning
u Custom Docker Images and Repositories
u Docker as a CI/CD Runner
Kubernetes
Why Kubernetes?

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Multi-Cloud Navigator:
Kubernetes can work on different cloud platforms (like AWS, Azure, or Google Cloud), allowing you to
switch between them or use them all together.
App Upgrades without Traffic Jams:
You can update your software without causing disruptions. Kubernetes directs traffic away from old
versions and gradually shifts it to the new one, like smoothly rerouting traffic during road construction.
App Safety Net:
Kubernetes ensures your apps are always available. If a server crashes, it moves your containers to a
healthy one, like quickly rerouting traffic if there's an accident on the road.
App Uniformity:
It makes sure all your containers are set up the same way, like making sure all cars on the road follow
the same rules.
In simple terms, Kubernetes is like a super-smart traffic controller for your software, ensuring it runs
smoothly, adapts to changes, and stays available, no matter where it's deployed. It's a valuable tool
for DevOps engineers to manage complex systems.
u Kubernetes Basics
u Pods and Containers
u Deployments and Services
u Config Maps and Secrets
u Persistent Storage
u Scaling Applications
u Load Balancing and Ingress
u Monitoring and Logging
u Helm and Package Management
u Azure Kubernetes Service
u AWS Elastic Kubernetes Service
Additional Tasks
u Multi-Environment Deployment
u Stateful Applications
u Continuous Deployment Pipeline
u Ingress Controller and Load Balancing
u Kubernetes Monitoring and Logging Stack
u GitOps Workflow
u Kubernetes Deployment with Jenkins
u Kubernetes Deployment with AzureDevOps

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Think of Elastic Stack, also known as the ELK Stack
(Elasticsearch, Logstash, Kibana), as a powerful set
of tools that helps DevOps engineers keep a close
watch on their applications and infrastructure.
Here's why DevOps engineers need Elastic Stack in
simple terms
Search Superpower:
Elastic Stack is like a supercharged search engine for
all the logs, data, and events generated by your
applications and systems. It helps you find
information quickly, just like using a search engine to
find answers on the internet.
Log Detective:
It's like having a detective's magnifying glass to
investigate issues. Elastic Stack lets you collect and analyze logs from various sources, making it easier
to troubleshoot problems and find the root cause
Visual Storyteller:
With Kibana (part of Elastic Stack), you can create beautiful charts and graphs that tell a visual story
about your system's health and performance. It's like turning boring data into an exciting comic book.
Alert Guardian:
Elastic Stack can be set up to watch over your applications 24/7. It's like having a vigilant guard who
sends you alerts when something goes wrong, ensuring you can respond quickly to issues.
Data Time Traveler:
Imagine if you could go back in time to see what happened when a problem occurred. Elastic Stack's
historical data storage allows you to do just that, helping you analyze past events and learn from them.
Scalability Partner:
It grows with your needs. As your applications and systems expand, Elastic Stack can scale up to handle
more data, just like adding more shelves to a bookcase as your book collection grows.
Security Sentinel:
Elastic Stack helps ensure your data is safe and sound. It's like locking important documents in a secure
vault and controlling who has access to them.
In simple terms, Elastic Stack is like a set of powerful tools that give DevOps engineers the ability to
search, analyze, visualize, and protect the valuable data generated by their systems. It's an essential
companion for monitoring and managing complex systems effectively
Monitoring and
Observability with Elastic Stack
Why Elastic Stack ?

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u Elastic Stack Overview
u Elasticsearch Basics
u Logstash and Data Ingestion
u Kibana Basics
u Advanced Kibana Features
u Elasticsearch Index Management
u Log Parsing and Enrichment
u Elastic Stack and Observability Overview
u Metrics and Beats
u Centralized Logging with Logstash
u Tracing with APM
Real-Time Projects
Automated CI/CD Pipeline:
Create an end-to-end CI/CD pipeline that automates the build, test, and deployment process for a
sample application. Use popular CI/CD tools like Jenkins, Azure DevOps.
Infrastructure as Code (IaC) Implementation:
Implement infrastructure provisioning and management using tools like Terraform . Build and
automate the deployment of a multi-tier web application.
Container Orchestration with Kubernetes:
Set up a Kubernetes cluster and deploy a microservices-based application. Implement scaling,
load balancing, and rolling updates within the cluster.
Monitoring and Alerting Setup:
Configure a monitoring and alerting system using tools like Prometheus and Grafana. Create
dashboards and alerts to monitor application performance and server health.
Log Management and Analysis:
Deploy the ELK Stack (Elasticsearch, Logstash, Kibana) or similar tools to centralize and analyze logs
from multiple servers and applications.
Security Scanning and Compliance Checks:
Implement security scanning using tools like OWASP ZAP or Nessus to identify vulnerabilities in
applications and infrastructure. Ensure compliance with security standards.
Continuous Integration for Infrastructure (CI/CD for IaC):
Apply CI/CD practices to infrastructure code. Use tools like AWS CodePipeline or Azure DevOps to
automate the testing and deployment of infrastructure changes.
Serverless Application Deployment :
Build and deploy a serverless application on AWS Lambda, Azure Functions, or Google Cloud
Functions. Implement API Gateway and integrate with other services.

4
A gateway to your
IT Industry
Disaster Recovery and High Availability (HA):
Design and implement a disaster recovery plan and high-availability architecture for critical
applications, including failover and backup strategies.
Multi-Cloud Deployment:
Set up applications to run across multiple cloud providers (e.g., AWS, Azure, Google Cloud) using a
multi-cloud strategy. Ensure portability and redundancy.
Container Security and Vulnerability Scanning:
Integrate container security scanning tools like Clair or Trivy into your CI/CD pipeline to identify and
address vulnerabilities in container images
Custom DevOps Dashboard:
Build a custom DevOps dashboard that aggregates data from various monitoring and CI/CD tools,
providing a unified view of the software development lifecycle.
These projects cover a wide range of DevOps skills and technologies, allowing the DevOps engineer
to showcase their abilities in areas like automation, containerization, monitoring, security, and more.
They also provide an opportunity to work on real-world scenarios commonly encountered in industry
settings.
Quality Thought Infosystems India (P) Ltd.
95151 51992, 99637 99240

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