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Mastering AWS EC2 Automation

  • In today's DevOps learning journey, we will explore how to automate the creation and management of virtual machines (EC2 instances) on Amazon Web Services (AWS).
  • Logging into AWS and launching EC2 instances
  • Choosing the right terminal based on your OS
  • Connecting to a VM and creating files

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A Glimpse into Essential Linux Commands for DevOps & Cloud Computing

  • Linux is crucial for DevOps and cloud computing in managing infrastructure and automation.
  • Outlined are essential Linux commands for DevOps & cloud computing, including:
  • - System monitoring & performance tuning
  • - User & permission management
  • - Process & service management

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An Easy Step-by-Step Guide on How to Deploy a Windows 11 Virtual Machine on Microsoft Azure

  • Deploying a Windows 11 virtual machine on Microsoft Azure is quick and straightforward.
  • Step 1: Log in to Azure using your Microsoft account.
  • Step 2: Create a new virtual machine by configuring the basics and selecting Windows 11 Pro image.
  • Step 3: Configure disks and Step 4: Networking Configuration.

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##Learning Python as My First Step into DevOps | A Beginner’s Journey.

  • Python is a popular scripting language used in DevOps for automation and scripting.
  • As a beginner, the author learned Python basics and gained clarity on logic flows in code.
  • The author faced challenges with indentation errors, self method concept, and OOP concepts, but persisted and now feels more confident.
  • Next, the author plans to document their learning journey and share weekly updates on GitHub and LinkedIn.

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How to Run Scheduled Cron Jobs in GitHub Workflows for Free

  • GitHub Actions allows you to automate tasks using cron syntax.
  • It is free for public repositories and offers generous free minutes for private repositories.
  • Cron expressions can be used to schedule tasks on specific time intervals.
  • GitHub Actions scheduled workflows provide a flexible way to automate recurring tasks without managing servers.

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Kubernetes Workloads & Services — Explained with an Amusement Park Analogy

  • This article simplifies Kubernetes workloads and services using an amusement park analogy.
  • Kubernetes workloads include Pods, ReplicaSets, Deployments, StatefulSets, Jobs, CronJobs, and DaemonSets.
  • Pods are the smallest deployable units, ReplicaSets ensure the specified number of pod replicas, and Deployments handle updates.
  • StatefulSets are for stateful applications, Jobs run tasks to completion, and CronJobs run tasks on a schedule.
  • DaemonSets ensure one pod runs on every node, commonly used for purposes like logging or monitoring agents.
  • Kubernetes services like ClusterIP, NodePort, LoadBalancer, and Ingress manage entry points and external access to pods.
  • ClusterIP enables internal communication, NodePort exposes services externally, LoadBalancer distributes incoming traffic, and Ingress routes HTTP requests.
  • The article uses a theme park analogy to explain different Kubernetes workloads and service types, making the concepts more relatable.
  • Next chapter will cover managing microservice traffic with Istio and service mesh technology.
  • Understanding Kubernetes through analogies like amusement parks can help grasp complex systems more easily.

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Docker Images and Containers: The Core Building Block

  • Docker images are pre-configured packages that contain everything required to run an application.
  • Docker containers are running instances of Docker images, isolated and executable environments.
  • A Docker image can spawn multiple containers, each functioning independently.
  • Differentiating between CMD and RUN commands in Dockerfile is important.

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Day 10: My first GitHub action

  • GitHub Actions is a powerful automation tool that helps automate repetitive tasks like testing, building, and deploying code.
  • Workflows in GitHub Actions are defined in YAML files and can be triggered by events like push, pull request, etc.
  • Jobs in GitHub Actions are groups of steps that run on the same machine, and each job runs in a fresh environment.
  • Steps in GitHub Actions are individual tasks executed in order within a job.
  • Creating a GitHub Action involves writing a YAML file in the repository, defining workflows, jobs, and steps.
  • Resources like GitHub Actions documentation and LinkedIn Learning courses can help in understanding and implementing GitHub Actions.
  • GitHub Actions are beneficial for both beginners and experienced developers in automating tasks and deploying applications.
  • It simplifies the process of automation in development and allows for deploying projects easily directly from the GitHub repository.
  • GitHub Actions can handle both simple and complex workflows, making it versatile for various automation needs.
  • Exploring GitHub Actions is recommended for anyone starting their DevOps journey or looking to enhance automation skills.

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GitOps and IaC at Scale – AWS, ArgoCD, Terragrunt, and OpenTofu – Part 2 – Creating Spoke environments

  • The article discusses deploying spokes cluster using the GitOps bridge framework with AWS enterprise capabilities and security best practices.
  • Considerations include using one IaC repository for accounts, teams, or squads based on organizational structure.
  • Capacity planning varies, with some organizations sharing clusters and grouping applications by namespaces.
  • The architecture can have a single hub managing multiple environments or separate hubs for each environment cluster.
  • Capacity planning and networking are main challenges addressed in the deployment scenarios.
  • Implementations involve setting up credentials, enabling RAM as a trusted service, and creating IAM roles for authentication.
  • Infrastructure is managed using tools like Terragrunt, creating parameter stores and IAM roles for authentication.
  • The GitOps bridge stack includes configurations for handling secrets, enabling IRSA roles, and managing cluster authentication.
  • Spoke cluster infrastructure is managed separately, allowing custom CI/CD pipelines and features for each team.
  • The article concludes by emphasizing the importance of managing cluster secrets and metadata information in the spoke clusters.

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Chaos Engineering for Microservices: Resilience Testing with Chaos Toolkit, Chaos Monkey, Kubernetes, and Istio

  • Chaos Engineering is crucial for ensuring resilience in cloud-native environments with microservices, Kubernetes, and Istio.
  • It involves proactively introducing controlled failures to identify system weaknesses and improve reliability.
  • Chaos Toolkit, Chaos Monkey, and Istio-based fault injection are valuable for Java, Node.js, Kubernetes, and Istio applications.
  • Chaos Engineering lifecycle follows structured experiments to enhance system resilience continuously.
  • Chaos Toolkit and Chaos Monkey have different use cases, with Chaos Toolkit suitable for Kubernetes-based testing and custom failure scenarios.
  • Chaos Monkey is ideal for Spring Boot applications and lightweight, built-in failure injection for Java microservices.
  • Chaos Toolkit offers a versatile framework for chaos testing in Java, Node.js, Kubernetes, and Istio.
  • Chaos Monkey for Spring Boot injects failures dynamically across different layers of a Spring Boot application.
  • Chaos Monkey attacks can be manually enabled to introduce latency or exceptions dynamically in Spring Boot applications.
  • Chaos Engineering principles can be implemented in Node.js using Chaos Toolkit and third-party libraries like Chaos Monkey for Node.js.

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Mastering the mkdir Command in Linux (Made Simple & Practical)

  • mkdir (make directory) is a Linux command used to create new folders
  • In addition to creating a single folder, mkdir has several other use cases:
  • It is important to use the -p flag when creating nested directories or multiple directories at once
  • Proper permission settings are necessary to create new folders, and it is recommended to avoid using sudo unless necessary

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10 DevOps Terms Every ML Engineer Should Know

  • DevOps bridges the gap between ML experimentation and production impact.
  • ML engineers need to know important DevOps terms for deployment and scaling of models.
  • Continuous Integration (CI) helps ensure smooth integration and faster iteration in ML projects.

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🚀 From Docker to Kubernetes: The Containerization Chronicles

  • Docker is used for packaging and running a single application, while Kubernetes helps run multiple apps efficiently, especially when scaling.
  • When using Docker, running 'docker run' starts an isolated container with necessary app components, sharing the host OS kernel for lightweight performance.
  • Internally, Docker utilizes Linux namespaces, cgroups, and a Union File System to manage containers efficiently.
  • Kubernetes complements Docker by managing multiple containers, enabling deployment, scaling, updates, and self-healing in a microservices environment.
  • Kubernetes doesn't replace Docker but works with it to orchestrate container lifecycles in a distributed system.
  • To deploy a Spring Boot microservice on Kubernetes, build and push a Docker image, then create YAML files for Deployment and Service configurations.
  • YAML files specify deployment replicas, container images, ports, and services to expose application functionality.
  • For multiple microservices and databases, separate Deployments and Services are created, with optional Ingress to manage external traffic routing.
  • Docker builds and runs containers, while Kubernetes orchestrates containers across nodes in production, offering autoscaling and resilience.
  • Understanding Docker's internals, Kubernetes basics, deploying microservices, and reading YAML manifests are key takeaways for building cloud-native apps.
  • The combined use of Docker and Kubernetes forms the foundation for developing scalable, cloud-native applications.

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How to Create and Connect to a Linux VM Using a Public Key

  • Creating a Linux VM in Azure and connecting to it using a public key is a secure method for managing cloud-based systems.
  • To create a Linux VM in Azure, you need to log in to the Azure Portal, create a virtual machine, and configure the necessary settings.
  • To connect to the Linux VM using SSH, you can download the private key, open your terminal or PowerShell, and run the SSH command with the key and IP address.
  • After connecting to the VM, you can update the server and install a web server like Nginx to host websites or web apps.

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How to Compress Web Assets in Real-Time Using Brotli with NGINX

  • Brotli compression provides better compression ratios than gzip for text-based assets such as HTML, CSS, and JavaScript.
  • To enable Brotli compression with NGINX, install Brotli and enable it in the NGINX configuration.
  • You can test the configuration and combine Brotli with static precompression for further optimization.
  • By enabling Brotli compression, you can enhance website performance and optimize page delivery.

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