DevOps & Cloud (AWS, AZURE, GCP) Tech Free Learning

😀 Top 20 AWS Services Every DevOps Engineer Should Know 😀 AWS provides a wide range of services to help DevOps engineers build, deploy, and manage applications efficiently. Here are the top 20 AWS services that every DevOps engineer should be familiar with: 👉 Amazon EC2 (Elastic Compute Cloud): This is where you launch virtual servers, often called instances, to run your applications. 👉 Amazon S3 (Simple Storage Service): Use it for scalable storage and to host static websites or store data. 👉 AWS Lambda: Execute code in response to events without the need to manage servers. 👉 Amazon RDS (Relational Database Service): A managed database service for popular database engines like MySQL, PostgreSQL, and more. 👉 Amazon Route 53: AWS's domain name system (DNS) web service to route traffic to your applications. 👉 Amazon ECR ( Elastic Container Registry): A fully managed Docker container registry to store, manage, and deploy Docker container images. 👉 Amazon ECS (Elastic Container Service): For running, stopping, and managing Docker containers. 👉 Amazon EKS (Elastic Kubernetes Service): A managed Kubernetes service to orchestrate containers. 👉 AWS CodeDeploy: Automates application deployments to different compute services. 👉 AWS CodePipeline: A Continuous Integration/Continuous Deployment (CI/CD) service to build, test, and deploy code. 👉 Amazon CloudWatch: Provides monitoring and observability for AWS resources and applications. 👉 AWS CloudFormation: Lets you define and provision infrastructure as code using templates. 👉 AWS Elastic Load Balancing: Distributes incoming application traffic across multiple targets. 👉 AWS Identity and Access Management (IAM): Manages user and group permissions within AWS. 👉 AWS CloudTrail: Logs all API calls made on your account, helping with security and compliance. 👉 Amazon Cloud Front: A content delivery network (CDN) to distribute content globally with low latency. 👉 Amazon VPC (Virtual Private Cloud): Allows you to create isolated networks within AWS. 👉 AWS Elastic Beanstalk: A service for deploying and scaling web applications. 👉 AWS Step Functions: Coordinate multiple AWS services into serverless workflows. 👉 AWS Config: Provides a detailed inventory of your AWS resources and tracks changes to configurations over time. ❤️ Follow for more: @prodevopsguy

➡️ Here’s a small list of Kubernetes topics you will be learning vs what you will be performing in an actual job: ⭐️ Basics you will learn first by your-self / courses: 1. Kubernetes Fundamentals: - Understanding Kubernetes architecture - Pods, Nodes, and Clusters - Namespaces 2. Setup and Configuration: - Installing Minikube or Kubernetes on local machine - Understanding kubeadm, kops, and kubectl 3. Basic Objects and Concepts: - Deployments - Services - ReplicaSets - ConfigMaps and Secrets 4. Networking: - Cluster IP - NodePort - LoadBalancer - Ingress basics 5. Storage: - Persistent Volumes (PV) - Persistent Volume Claims (PVC) - Storage Classes 6. Basic Usage: - Creating and managing pods - Scaling applications - Rolling updates and rollbacks - Basic troubleshooting 7. Security: - Role-Based Access Control (RBAC) - Service Accounts 8. Monitoring and Logging: - Basics of monitoring with Prometheus - Logging with Elasticsearch, Fluentd, and Kibana (EFK stack) 9. Understanding YAML: - Writing basic YAML files for Kubernetes objects ⏩Usual production tasks: 1. Deployments: - Blue/Green deployments - Canary deployments - A/B testing 2. Networking: - Service Meshes (Istio, Linkerd) - Network Policies - Advanced Ingress configurations - CNI plugins (Calico, Flannel, Weave) 3. Storage: - StatefulSets - Dynamic provisioning - CSI (Container Storage Interface) 4. Security: - Pod Security Policies - Network Policies - Secrets management (Vault, Sealed Secrets) - Image security and scanning (Trivy, Clair) 5. Advanced Configuration: - Helm and Helm Charts - Kustomize - Operators and CRDs (Custom Resource Definitions) 6. Performance Tuning: - Resource limits and requests - Horizontal Pod Autoscaler (HPA) - Vertical Pod Autoscaler (VPA) - Cluster Autoscaler 7. Monitoring and Logging: - Advanced Prometheus configuration - Alerting with Alertmanager - Distributed tracing (Jaeger, OpenTelemetry) - Centralized logging 8. Cluster Management: - Multi-cluster management - Federation - Backup and restore strategies 9. CI/CD Pipelines: - Integrating CI/CD with Kubernetes (Jenkins X, Tekton) - GitOps (ArgoCD, Flux) 10. Disaster Recovery: - Backup and restore strategies - High availability and failover planning 11. Scaling and Capacity Planning: - Handling large-scale deployments - Capacity planning and resource optimization 12. Service Catalog and Broker: - Using the Kubernetes service catalog - Integrating external services 13. Compliance and Auditing: - Auditing with Kubernetes - Ensuring compliance with regulatory requirements 14. Troubleshooting: - Debugging complex issues - Analyzing logs and metrics - Using tools like k9s, kubectl-debug, and lens 15. Cost Management: - Cost optimization strategies - Using tools like Kubecost 📱 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs

♾ DevOps and Cloud Engineering is not just about learning tools. ☄️ 🔣 Learn basic working blocks for the long run: 1️⃣. How does networking work? ➡️ Keywords: TCP/IP, DNS, HTTP/S, VPN, Load Balancers, Firewalls, Network Protocols, Subnetting 2️⃣. How to pick the right database? ➡️ Keywords: SQL vs. NoSQL, ACID Properties, Scalability, Data Modeling 3️⃣. Principles of secure system design ➡️ Keywords: Encryption, Authentication, Authorization, OWASP Top 10, Security Policies, Risk Assessment, Compliance Standards (like GDPR, HIPAA). 4️⃣. What are the different kinds of storage? ➡️ Keywords: Block Storage, Object Storage, File Storage, NAS, SAN, Cloud Storage (AWS S3, Azure Blob), SSD vs. HDD. 5️⃣. What are different kinds of DR (Disaster Recovery) strategies? ➡️ Keywords: Backup and Restore, Pilot Light, Warm Standby, Multi-site, RTO (Recovery Time Objective), RPO (Recovery Point Objective). 6️⃣. Common approaches for data replication ➡️ Keywords: Master-Slave, Peer-to-Peer, Synchronous vs. Asynchronous, Data Consistency, Replication Topologies, Log Shipping. 7️⃣. When to implement caching mechanisms? ➡️ Keywords: In-memory Caches (Redis, Memcached), CDN, Cache Invalidation, Write-through vs. Write-back Cache, Cache Hit Ratio. Tools and frameworks will change. Fundamentals remain intact. Without fundamentals, you are incomplete. ✈️ 𝐅𝐨𝐥𝐥𝐨𝐰 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs

♾ DevOps for Beginners: A Complete Roadmap to Get Started ⭐️ Are you just starting out in the world of DevOps? Or perhaps you're looking to strengthen your foundational knowledge? My latest article is exactly what you need! 🖥 Read Now: DevOps for Beginners: A Complete Roadmap to Get Started In this in-depth guide, I cover everything you need to know to kickstart your DevOps journey. From understanding the key concepts like CI/CD, Infrastructure as Code, and containerization, to practical steps for getting hands-on with tools like Jenkins, Docker, Kubernetes, and Terraform—this article has it all! ✨ Here's what you'll learn: ✅ The importance of DevOps in modern software development ✅ Key concepts and practices every DevOps engineer should know ✅ A step-by-step roadmap to mastering DevOps tools and techniques ✅ Tips on gaining real-world experience through projects Whether you're a beginner or looking to level up your skills, this guide is packed with practical advice and resources that will help you succeed. 🌟

🔔 Don't miss out on this comprehensive guide—perfect for all aspiring DevOps engineers!

😎 𝐅𝐨𝐥𝐥𝐨𝐰 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs

🔥 Becoming a Certified Kubernetes Administrator, an EXPERT in K8s from scratch, and much MORE! 🔥 🔗 Link: https://github.com/NotHarshhaa/Certified_Kubernetes_Administrator If you want to become a Certified Kubernetes Administrator, or you want to become an EXPERT in Kubernetes, learn Kubernetes from scratch and understand everything, this repo is a good choice. 🟡 Table of Contexts: 1. Kubernetes 2. Helm 3. Operator 4. Prometheus 5. EKS ❤️ Follow for more: @prodevopsguy

⚙️ DevOps Tools for Each Phase of the DevOps Life Cycle ♾ 🔢. Continuous Development (CD) Jira: Agile project management tool aiding project management, workflows, and bug tracking. Git: Open-source version control system facilitating collaboration and nonlinear workflows. GitHub extends its collaborative features. 🔢. Continuous Integration (CI) and Continuous Delivery (CD) Jenkins: Java-based, open-source tool supporting CI and CD with customizable workflows, easy installation, and numerous plugins. 🔢. Continuous Testing Selenium: Open-source automated testing framework supporting web app automation across multiple browsers and OS. Bamboo: Server-based tool tightly integrated with Jira, excelling in complex build plans and parallel testing. 🔢. Continuous Deployment Docker (container management): Packages and executes distributed apps, encouraging collaboration via Docker Hub. Ansible (configuration management): Automates configuration management and infrastructure orchestration. 🔢. Continuous Feedback Jira Service Management: Centralizes feedback from diverse sources for improved communication. Parlor: Engages with users to collect real-time contextual insights, integrating with various business tools. 🔢. Continuous Monitoring Prometheus: Open-source performance monitoring database enabling robust reporting and visualization. 🔢. Continuous Operation Opsgenie: Manages incidents, predicts and resolves service disruptions, integrates with various monitoring and communication tools, ensuring appropriate notifications and automated escalations for critical issues. 🌟 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝗳𝗼𝗿 𝗺𝗼𝗿𝗲 𝘀𝘂𝗰𝗵 𝗰𝗼𝗻𝘁𝗲𝗻𝘁 𝗮𝗿𝗼𝘂𝗻𝗱 𝗰𝗹𝗼𝘂𝗱 & 𝗗𝗲𝘃𝗢𝗽𝘀!!!

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🎄 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝗳𝗼𝗿 𝗺𝗼𝗿𝗲 𝘀𝘂𝗰𝗵 𝗰𝗼𝗻𝘁𝗲𝗻𝘁 𝗮𝗿𝗼𝘂𝗻𝗱 𝗰𝗹𝗼𝘂𝗱 & 𝗗𝗲𝘃𝗢𝗽𝘀!!!

❤️‍🔥6 Most Confusing GIT Commands 👇 🟡 Simplified and concise illustration of commands for better understanding 𝟭. 𝗴𝗶𝘁 𝗺𝗲𝗿𝗴𝗲 𝘃𝘀 𝗴𝗶𝘁 𝗿𝗲𝗯𝗮𝘀𝗲: - 𝘨𝘪𝘵 𝘮𝘦𝘳𝘨𝘦 combines branch changes with new merge commits - 𝘨𝘪𝘵 𝘳𝘦𝘣𝘢𝘴𝘦 moves branch changes on top, creating a linear history 𝟮. 𝗴𝗶𝘁 𝗿𝗲𝘀𝗲𝘁 𝘃𝘀 𝗴𝗶𝘁 𝗿𝗲𝘃𝗲𝗿𝘁: - 𝘨𝘪𝘵 𝘳𝘦𝘴𝘦𝘵 undoes changes and moves the branch pointer, discarding subsequent commits - 𝘨𝘪𝘵 𝘳𝘦𝘷𝘦𝘳𝘵 creates new undo commits, preserving history 𝟯. 𝗴𝗶𝘁 𝗳𝗲𝘁𝗰𝗵 𝘃𝘀 𝗴𝗶𝘁 𝗽𝘂𝗹𝗹: - 𝘨𝘪𝘵 𝘧𝘦𝘵𝘤𝘩 downloads remote changes without auto-merging - 𝘨𝘪𝘵 𝘱𝘶𝘭𝘭 fetches and auto-merges remote changes In short, git pull = git fetch + git merge – DevOps is the most happening and integral part of almost all organizations. ❤️ Follow for more: @prodevopsguy

🔔 𝐇𝐞𝐫𝐞 𝐚𝐫𝐞 𝐬𝐨𝐦𝐞 𝐜𝐨𝐦𝐦𝐨𝐧 𝐞𝐫𝐫𝐨𝐫𝐬 𝐚𝐧𝐝 𝐢𝐬𝐬𝐮𝐞𝐬 𝐰𝐞 𝐨𝐟𝐭𝐞𝐧 𝐞𝐧𝐜𝐨𝐮𝐧𝐭𝐞𝐫 𝐰𝐡𝐞𝐧 𝐰𝐨𝐫𝐤𝐢𝐧𝐠 𝐰𝐢𝐭𝐡 𝐃𝐨𝐜𝐤𝐞𝐫: ➡️ 1.𝐈𝐦𝐚𝐠𝐞 𝐍𝐨𝐭 𝐅𝐨𝐮𝐧𝐝: You might encounter this error when trying to run a container with an image that doesn't exist locally or on the specified Docker registry. Ensure that you've pulled the image or that the image name and tag are correct. ➡️ 2.𝐏𝐞𝐫𝐦𝐢𝐬𝐬𝐢𝐨𝐧 𝐃𝐞𝐧𝐢𝐞𝐝: Docker containers often run as non-root users for security reasons. If your application requires access to certain resources or directories, make sure you've set the appropriate file permissions and user/group settings within the container. ➡️ 3.𝐏𝐨𝐫𝐭 𝐂𝐨𝐧𝐟𝐥𝐢𝐜𝐭𝐬: Trying to run multiple containers that use the same host port can lead to port conflicts. Ensure that the ports you specify in the docker run command do not conflict with existing ports in use on your host system. ➡️ 4.𝐎𝐮𝐭 𝐨𝐟 𝐃𝐢𝐬𝐤 𝐒𝐩𝐚𝐜𝐞: Docker uses disk space for images, containers, and logs. Over time, this can consume a significant amount of disk space. Periodically clean up unused images and containers using the docker system prune command. ➡️ 5.𝐂𝐨𝐧𝐭𝐚𝐢𝐧𝐞𝐫 𝐂𝐫𝐚𝐬𝐡: Containers may crash for various reasons, such as misconfiguration or application issues. Use docker logs <container_name> to check the container logs for error messages that can help diagnose the problem. ➡️ 6.𝐃𝐨𝐜𝐤𝐞𝐫 𝐁𝐮𝐢𝐥𝐝 𝐅𝐚𝐢𝐥𝐮𝐫𝐞𝐬: Issues may arise during the build process of a Docker image. Common problems include incorrect Dockerfile syntax, missing files or dependencies, and network problems while downloading packages during the build. ➡️ 7.𝐍𝐞𝐭𝐰𝐨𝐫𝐤𝐢𝐧𝐠 𝐏𝐫𝐨𝐛𝐥𝐞𝐦𝐬: Docker containers can have connectivity problems if not properly configured. Ensure that the container is attached to the correct network, that firewalls are not blocking required ports, and that DNS settings are correct. ➡️ 8.𝐕𝐨𝐥𝐮𝐦𝐞 𝐌𝐨𝐮𝐧𝐭 𝐄𝐫𝐫𝐨𝐫𝐬: Failing to properly mount volumes can result in data loss or incorrect behavior. Double-check the paths and permissions when using the -v flag in docker run or docker-compose. ➡️ 9.𝐑𝐞𝐬𝐨𝐮𝐫𝐜𝐞 𝐂𝐨𝐧𝐬𝐭𝐫𝐚𝐢𝐧𝐭𝐬: Docker containers can consume significant CPU and memory resources. Make sure you allocate appropriate resources using the --cpu and --memory flags when running containers. ➡️ 10.𝐈𝐦𝐚𝐠𝐞 𝐕𝐮𝐥𝐧𝐞𝐫𝐚𝐛𝐢𝐥𝐢𝐭𝐢𝐞𝐬: Using outdated or insecure base images can introduce security vulnerabilities. Regularly update your Docker images and use tools like Clair or Trivy to scan for vulnerabilities. ➡️ 11.𝐑𝐞𝐬𝐨𝐮𝐫𝐜𝐞 𝐋𝐞𝐚𝐤𝐬: Containers should clean up after themselves when they exit. Be cautious about resource leaks, such as leaving behind orphaned processes or unreleased file handles. 🔵 Follow for more: @prodevopsguy

🚀 Unlock the Power of Programming in DevOps! 🧑‍💻 🔗 Read the full article here: The Role of Programming and Coding in DevOps: An In-Depth Guide for DevOps Engineers 🌟 I’m thrilled to share our latest in-depth guide: "The Role of Programming and Coding in DevOps: An In-Depth Guide for DevOps Engineers." This article is essential reading for anyone in the DevOps field who wants to bridge the gap between development and operations, enhancing both efficiency and effectiveness. 🎯 What You’ll Learn: ✅ Why Coding is Crucial in DevOps: Discover the importance of coding skills in automating repetitive tasks, managing infrastructure as code (IaC), and improving collaboration between development and operations teams. ✅ Key Programming Languages: Learn about the must-know languages like Python, Go, Bash, and Ruby, and how they can help you automate processes, write scripts, and manage complex environments. ✅ Real-World Applications: Get insights into how programming is used in CI/CD pipelines, configuration management, containerization, and cloud deployments, with examples that you can apply to your projects. ✅ Best Practices and Tips: Practical advice on writing efficient, scalable, and maintainable code that will make your DevOps processes more robust and reliable.

Whether you’re just starting out in DevOps or you’re a seasoned pro looking to level up your skills, this guide will provide you with the knowledge you need to succeed in today’s fast-paced tech landscape.

💡 Why This Matters: Programming is no longer optional for DevOps engineers. It’s the key to automating processes, reducing errors, and delivering faster, more reliable services. Mastering these skills will set you apart and accelerate your career in DevOps. 😎 𝐅𝐨𝐥𝐥𝐨𝐰 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs

🛠 Implementation of the Entire Advanced CI/CD Pipeline with Major DevOps Tools 🛠 ➡️ Project Link : HERE 💥 Included Step by Step procedure 💥 Easy Understanding guide 💥 Used DevOps advanced Tools 💥 Each & Every Commands used in project are Included 💥 Tools used in Project : ✅ Jenkins ✅ Docker ✅ Kubernetes ✅ Ansible ✅ Terraform ✅ Prometeous ✅ Maven ✅ AWS ✅ SonarQube ✅ SonarCloud ✅ JFrog Hit the Star! 🌟 & Follow me on GitHub for more like this If you are planning to use this repo for learning, please hit the star. ❤️ 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝗳𝗼𝗿 𝗺𝗼𝗿𝗲 𝘀𝘂𝗰𝗵 𝗰𝗼𝗻𝘁𝗲𝗻𝘁 𝗮𝗿𝗼𝘂𝗻𝗱 𝗰𝗹𝗼𝘂𝗱 & 𝗗𝗲𝘃𝗢𝗽𝘀!!! // Join for DevOps DOCs: @devopsdocs

🔥 YOUTUBE CHANNELS TO LEARN DEVOPS 🔥 ❓ Note: This tutorial should be followed, the way I numbered it. ⚡️ COMPLETE DEVOPS TUTORIAL: ➡️ 1. DevOps Pre-requisite https://lnkd.in/dD9Z_5qA ➡️ 2. Networking https://lnkd.in/dEmZ8zhY https://lnkd.in/dwfmwmA9 ➡️ 3. Linux https://lnkd.in/d7gzxH5z https://lnkd.in/dr4pjCV3 https://lnkd.in/dzTQE4b7 ➡️ 4. Shell scripting https://lnkd.in/dKrD_up7 https://lnkd.in/dJVqMt3Y https://lnkd.in/d7VVbbNJ ➡️ 5. Git & GitHub https://lnkd.in/dEp3KrTJ https://lnkd.in/d6aM7Ek7 https://lnkd.in/duksFRgG https://lnkd.in/ddpKXxqt ➡️ 6. Databases https://lnkd.in/duMVr4bn https://lnkd.in/dnUQ_uGe ➡️ 7. Artifact Repository Manager https://lnkd.in/dgNHs7WD ➡️ 8. Docker https://lnkd.in/dPddbJTf https://lnkd.in/dnjHdxPR ➡️ 9. Jenkins https://lnkd.in/dMHv9T8U https://lnkd.in/dcynPYYH ➡️ 10. AWS https://lnkd.in/dz7d5qEc https://lnkd.in/dmi-TMv9 https://lnkd.in/dx-iqVNe ➡️ 11. SSH 🟢 Mobaxterm : https://lnkd.in/ds7nUhbx 🟢 Putty : https://lnkd.in/gGgW7Ns9 ➡️ 12. Yaml https://lnkd.in/dNqrXjmV https://lnkd.in/dNqrXjmV ➡️ 13. Kubernetes https://lnkd.in/duGZwHYX https://lnkd.in/de84ESNv ➡️ 14. Helm https://lnkd.in/ds_8WB7G ➡️ 15. Terraform https://lnkd.in/dvpzNT5M https://lnkd.in/dRs3YFu3 https://lnkd.in/d8nkTj3n ➡️ 16. Python https://lnkd.in/d-EhshQz https://lnkd.in/dYjay9ia https://lnkd.in/dFtNz_9D https://lnkd.in/dcYq8nE2 ➡️ 17. Ansible https://lnkd.in/dGKkrXrA https://lnkd.in/dNugwtVW https://lnkd.in/dhknHJXp ➡️ 18. Prometheus https://lnkd.in/dpXhmVqs https://lnkd.in/dStQbpRX ➡️ 19. Grafana https://lnkd.in/ddAV7_-p https://lnkd.in/dRwfE7A4 HAPPY LEARNING 📌 ©: @prodevopsguy

⭐️ 𝘼𝙡𝙡 𝙞𝙣 𝙊𝙣𝙚 𝙗𝙪𝙙𝙙𝙡𝙚 𝙤𝙛 𝙆𝙪𝙗𝙚𝙧𝙣𝙚𝙩𝙚𝙨 ⭐️ 📱 SOURCE LINK: https://github.com/NotHarshhaa/Kubernetes 🛑 This Repository includes:- - Deployment manifest files - Jenkins deployments & configurations - Kubernetes Ingress files - Realtime projects manifest files - Helm charts for any application - End to End Manifest files for any applications - Includes AWS ELK Stack (Elasticsearch, Logstash, Kibana) - Network service configurations templates - Application monitoring templates for any applications - Complete application launch manifest files for Realtime projects 😎 𝐅𝐨𝐥𝐥𝐨𝐰 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs

☁️ Git/GitHub All End-to-End Content 2024 ➡️This Includes: - All Git/GitHub Content with use cases - Git Realtime scenarios - All Git/GitHub Exercises with solutions - No More Git PDFs needed - Easy to Learn from anywhere - Detailed Explanation guide - All Git/GitHub Branching Strategies for DevOps guy 🔗 Link : https://github.com/NotHarshhaa/into-the-devops/tree/master/topics/git 💥 Follow me on 🌐GitHub : https://www.github.com/NotHarshhaa ✈️ 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝗳𝗼𝗿 𝗺𝗼𝗿𝗲 𝘀𝘂𝗰𝗵 𝗰𝗼𝗻𝘁𝗲𝗻𝘁 𝗮𝗿𝗼𝘂𝗻𝗱 𝗰𝗹𝗼𝘂𝗱 & 𝗗𝗲𝘃𝗢𝗽𝘀!!!

😀 10 DevOps Real time Scenarios. 😀 🚀 Issues as well as their resolutions: 🚀 🔢. Continuous Integration Pipeline Failure and its Resolution. 🔗 https://lnkd.in/g9nBb79u 🔢. Application experiences performance degradation and becomes slow during high-traffic periods and its resolution. 🔗 https://lnkd.in/g9nBb79u 🔢. Deployments are error-prone and inconsistent across different environments and its resolution. 🔗 https://lnkd.in/gE6FYcBz 🔢. The application goes down in production due to an unforeseen issue and its resolution. 🔗 https://lnkd.in/gE6FYcBz 🔢. A security vulnerability is discovered in a component of the application stack and its resolution. 🔗 https://lnkd.in/gPtZ9_Ge 🔢. Production environments start to deviate from their desired configurations over time and its resolution. 🔗 https://lnkd.in/gPtZ9_Ge 🔢. A critical service experiences an outage, impacting users and business operations and its resolution. 🔗 https://lnkd.in/gvTtGYC7 🔢. Communication breakdowns between development and operations teams lead to misunderstandings and delays and its resolution. 🔗 https://lnkd.in/gvTtGYC7 🔢. A major release causes unexpected issues in the production environment. 🔗 https://lnkd.in/gYbFKPrv 🔢🔢. Cloud resource costs are increasing beyond budgeted limits. 🔗 https://lnkd.in/gYbFKPrv 🎄 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝗳𝗼𝗿 𝗺𝗼𝗿𝗲 𝘀𝘂𝗰𝗵 𝗰𝗼𝗻𝘁𝗲𝗻𝘁 𝗮𝗿𝗼𝘂𝗻𝗱 𝗰𝗹𝗼𝘂𝗱 & 𝗗𝗲𝘃𝗢𝗽𝘀!!!

🚀 𝟖 𝐒𝐓𝐄𝐏𝐒 𝐓𝐎 𝐁𝐄𝐂𝐎𝐌𝐄 𝐀 𝐃𝐄𝐕𝐎𝐏𝐒 𝐄𝐍𝐆𝐈𝐍𝐄𝐄𝐑 𝐢𝐧 𝟐𝟎𝟐𝟰 🚀 DevOps is a rapidly growing field that combines software development and operations, enabling organizations to deliver high-quality software at a faster pace. So, let's explore the key skills you need to master on your journey to becoming a DevOps Engineer: ✅Step 1 - Learn networking basics ✅Step 2 - Learn Linux ✅Step 3 - Learn Cloud: Cloud platforms like AWS, Azure, and GCP are revolutionizing the IT landscape. ✅Step 4 - Learn Infrastructure as Code (IAC) ✅Step 5 - Learn CI/CD ✅Step 6 - Learn Docker & Kubernetes ✅Step 7 - Learn Monitoring Tools ✅Step 8 - Learn Programming

Remember, becoming a DevOps Engineer is an ongoing journey. Stay curious, keep learning, and embrace new technologies and practices as they emerge. Engage in open-source projects, attend conferences, and connect with fellow professionals to expand your network and stay up-to-date.

🌟 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝗳𝗼𝗿 𝗺𝗼𝗿𝗲 𝘀𝘂𝗰𝗵 𝗰𝗼𝗻𝘁𝗲𝗻𝘁 𝗮𝗿𝗼𝘂𝗻𝗱 𝗰𝗹𝗼𝘂𝗱 & 𝗗𝗲𝘃𝗢𝗽𝘀!!!

💡 Know your responsibilities. If you take out the tools, there are generic role specific requirements that companies will expect from you once you are onboard. Keeping it simple, there are 4 levels for a DevOps role in IT. ➡️ DevOps Associate/Engineer: Level 1 - Collaborate with developers and IT staff to manage code releases. - Assist in automating processes to improve efficiency. - Implement and maintain CI/CD pipelines. - Monitor system performance and troubleshoot issues. - Assist in the design and implementation of infrastructure as code (IaC). ➡️ DevOps Engineer: Level 2 - Manage and improve CI/CD pipelines. - Automate operational processes. - Implement and manage monitoring and logging solutions. - Collaborate with development and operations teams to ensure smooth deployment and operation of systems. - Troubleshoot and resolve issues in development, test, and production environments. - Implement and manage containerization and orchestration technologies (e.g., Docker, Kubernetes). ➡️ Senior DevOps Engineer: Level 3 - Lead and mentor junior members of the DevOps team. - Architect and design highly available and scalable systems. - Evaluate new technologies and tools to improve the DevOps process. - Develop and implement best practices for infrastructure automation and configuration management. - Collaborate with other teams to improve overall system reliability and performance. ➡️ Principal DevOps Engineer: Level 4 - Define the overall DevOps strategy for the organization. - Lead large-scale infrastructure and automation projects. - Drive innovation and continuous improvement within the DevOps team. - Act as a subject matter expert for DevOps practices and technologies. - Collaborate with executive leadership to align DevOps initiatives with business goals. ✈️ 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝗳𝗼𝗿 𝗺𝗼𝗿𝗲 𝘀𝘂𝗰𝗵 𝗰𝗼𝗻𝘁𝗲𝗻𝘁 𝗮𝗿𝗼𝘂𝗻𝗱 𝗰𝗹𝗼𝘂𝗱 & 𝗗𝗲𝘃𝗢𝗽𝘀!!! // Join for DevOps DOCs: @devopsdocs