🚀 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

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

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

📌 Discover the Following Azure Free Courses.

⏩ 1. Microsoft Azure Fundamentals
- Course AZ-900T00
- 24-Hour Course
- Course Link:
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- Course DP-900T00
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🎄 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝗳𝗼𝗿 𝗺𝗼𝗿𝗲 𝘀𝘂𝗰𝗵 𝗰𝗼𝗻𝘁𝗲𝗻𝘁 𝗮𝗿𝗼𝘂𝗻𝗱 𝗰𝗹𝗼𝘂𝗱 & 𝗗𝗲𝘃𝗢𝗽𝘀!!!

⚙️ 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!!!

🔥 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 @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

♾ 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

➡️ 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

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

🆘 How do we manage configurations in a system?

The diagram shows a comparison between traditional configuration management and IaC (Infrastructure as Code).


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

💘 Migrating to the Cloud: A Step-by-Step Guide for DevOps Engineers 💘


Looking to migrate your infrastructure to the cloud? My latest article is here to guide you through the entire process! 🌥

🖥 Read Now: Migrating to the Cloud: A Step-by-Step Guide for DevOps Engineers

In this detailed guide, It cover everything you need to successfully migrate to the cloud. From planning and choosing the right strategy to executing a seamless migration, this article is packed with practical advice and insights. Whether you're opting for Lift and Shift or Refactoring, you'll find the tips and tools necessary for a smooth transition.

Here’s what you’ll learn:
✅ Different types of cloud migrations and how to choose the right one
✅ Step-by-step migration process, from PoC to final testing
✅ Best practices for post-migration success
✅ How to overcome common challenges like data transfer bottlenecks and security concerns

This guide is a must-read for any DevOps engineer looking to master cloud migrations. Don’t miss out! 🌟

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

🆘 Here is a list of some 𝗥𝗲𝘀𝘂𝗺𝗲-𝗥𝗲𝗮𝗱𝘆 DevOps projects.


➡️ 𝗗𝗲𝘃𝗦𝗲𝗰𝗢𝗽𝘀 𝗣𝗶𝗽𝗲𝗹𝗶𝗻𝗲 𝗣𝗿𝗼𝗷𝗲𝗰𝘁: 𝗗𝗲𝗽𝗹𝗼𝘆 𝗡𝗲𝘁𝗳𝗹𝗶𝘅 𝗖𝗹𝗼𝗻𝗲 𝗼𝗻 𝗞𝘂𝗯𝗲𝗿𝗻𝗲𝘁𝗲𝘀
🔗 https://lnkd.in/gUpEqDuG

➡️ 𝗗𝗲𝗽𝗹𝗼𝘆𝗶𝗻𝗴 𝗮 𝗬𝗼𝘂𝗧𝘂𝗯𝗲 𝗖𝗹𝗼𝗻𝗲 𝗔𝗽𝗽 𝘄𝗶𝘁𝗵 𝗗𝗲𝘃𝗦𝗲𝗰𝗢𝗽𝘀
🔗 https://lnkd.in/gvvzwW2A

➡️ 𝗚𝗶𝘁𝗟𝗮𝗯 𝗖𝗜/𝗖𝗗 𝘂𝘀𝗶𝗻𝗴 𝗧𝗲𝗿𝗿𝗮𝗳𝗼𝗿𝗺 - 𝗠𝗮𝗻𝗮𝗴𝗶𝗻𝗴 𝗜𝗻𝗳𝗿𝗮𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲
🔗 https://lnkd.in/gJUfnjHx

➡️ 𝗧𝗛𝗘 𝗨𝗟𝗧𝗜𝗠𝗔𝗧𝗘 𝗖𝗜/𝗖𝗗 𝗣𝗜𝗣𝗘𝗟𝗜𝗡𝗘
🔗 https://lnkd.in/gVUDtZBF

➡️ 𝗖𝗼𝗺𝗽𝗹𝗲𝘁𝗲 𝗥𝗲𝗮𝗹-𝘁𝗶𝗺𝗲 𝗗𝗲𝘃𝗢𝗽𝘀 𝗖𝗜/𝗖𝗗 𝗣𝗿𝗼𝗷𝗲𝗰𝘁
🔗 https://lnkd.in/gn_tMBfi

➡️ 𝗝𝗲𝗻𝗸𝗶𝗻𝘀 𝗖𝗜/𝗖𝗗 𝗣𝗶𝗽𝗲𝗹𝗶𝗻𝗲 - 𝗦𝗼𝗻𝗮𝗿𝗤𝘂𝗯𝗲, 𝗗𝗼𝗰𝗸𝗲𝗿, 𝗚𝗶𝘁𝗵𝘂𝗯 𝗪𝗲𝗯𝗵𝗼𝗼𝗸𝘀 𝗼𝗻 𝗔𝗪𝗦
🔗 https://lnkd.in/gzwdXM3y

➡️ 𝗞𝘂𝗯𝗲𝗿𝗻𝗲𝘁𝗲𝘀 𝗖𝗜/𝗖𝗗 𝗣𝗶𝗽𝗲𝗹𝗶𝗻𝗲 𝗨𝘀𝗶𝗻𝗴 𝗝𝗲𝗻𝗸𝗶𝗻𝘀
🔗 https://lnkd.in/gC4Zs_H9

➡️ 𝗠𝗮𝘀𝘁𝗲𝗿𝗶𝗻𝗴 𝗗𝗲𝘃𝗦𝗲𝗰𝗢𝗽𝘀 𝗖𝗜/𝗖𝗗: 𝟯-𝗧𝗶𝗲𝗿 𝗔𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗣𝗶𝗽𝗲𝗹𝗶𝗻𝗲
🔗 https://lnkd.in/grVg76Dw


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

DevOps ♾ Learning path for beginners ▶️


😥 Linux
https://lnkd.in/eDU5WpKi

⚙️ Networking
https://lnkd.in/e99zv7tF

😴 Git/GitHub
https://lnkd.in/ecqMXBRX

☁️ Cloud
AWS - https://lnkd.in/ef3K8btU
Azure - https://lnkd.in/exzMfEHw

🤖 Programming
Python - https://lnkd.in/e55MK3EC
Go - https://lnkd.in/eStnGK7H

🐳 Docker
https://lnkd.in/e-y6h8nb
https://lnkd.in/eZ-CYSGT
https://lnkd.in/e3y7CcVV

🎁 K8
https://lnkd.in/ejW4M7p6
https://lnkd.in/etkFp58n
https://lnkd.in/es_wzZVb

🔁 CICD
Jenkins - https://lnkd.in/e4kheikQ
Github Action - https://lnkd.in/eS-Zhhs4

🤠 IAC
Terraform with AWS - https://lnkd.in/eutkjgUV
Terraform with Azure - https://lnkd.in/emuq6-6y

👾 Configuration Management
Ansible - https://lnkd.in/e75ep-tF

🔍 Monitoring
Prometheus and Grafana - https://lnkd.in/e4QJGu_E

🤘 YAML
https://lnkd.in/eU_BnErV


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

Don't overwhelm to learn Git,🙄

Git is this much only👇😊

1️⃣. Core:
• git init
• git clone
• git add
• git commit
• git status
• git diff
• git checkout
• git reset
• git log
• git show
• git tag
• git push
• git pull

2️⃣. Branching:
• git branch
• git checkout -b
• git merge
• git rebase
• git branch --set-upstream-to
• git branch --unset-upstream
• git cherry-pick

3️⃣. Merging:
• git merge
• git rebase

4️⃣. Stashing:
• git stash
• git stash pop
• git stash list
• git stash apply
• git stash drop

5️⃣. Remotes:
• git remote
• git remote add
• git remote remove
• git fetch
• git pull
• git push
• git clone --mirror

6️⃣. Configuration:
• git config
• git global config
• git reset config

7️⃣. Plumbing:
• git cat-file
• git checkout-index
• git commit-tree
• git diff-tree
• git for-each-ref
• git hash-object
• git ls-files
• git ls-remote
• git merge-tree
• git read-tree
• git rev-parse
• git show-branch
• git show-ref
• git symbolic-ref
• git tag --list
• git update-ref

8️⃣. Porcelain:
• git blame
• git bisect
• git checkout
• git commit
• git diff
• git fetch
• git grep
• git log
• git merge
• git push
• git rebase
• git reset
• git show
• git tag

9️⃣. Alias:
• git config --global alias.<alias> <command>

1️⃣0️⃣. Hook:
• git config --local core.hooksPath <path>

1️⃣1️⃣.Experimental: (May not be fully Supported)
• git annex
• git am
• git cherry-pick --upstream
• git describe
• git format-patch
• git fsck
• git gc
• git help
• git log --merges
• git log --oneline
• git log --pretty=
• git log --short-commit
• git log --stat
• git log --topo-order
• git merge-ours
• git merge-recursive
• git merge-subtree
• git mergetool
• git mktag
• git mv
• git patch-id
• git p4
• git prune
• git pull --rebase
• git push --mirror
• git push --tags
• git reflog
• git replace
• git reset --hard
• git reset --mixed
• git revert
• git rm
• git show-branch
• git show-ref
• git show-ref --heads
• git show-ref --tags
• git stash save
• git subtree
• git tag --delete
• git tag --force
• git tag --sign
• git tag -f
• git tag -l
• git tag --verify
• git unpack-file
• git update-index
• git verify-pack
• git worktree

-------- 🔚 🔚 --------

♥️Credits: @NotHarshhaa ✅

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

🆘 Here is every AWS Certification you can earn

📝 Sorted By 4 Categories:

🟡 Foundational
➡️ AWS Certified Cloud Practitioner
https://lnkd.in/gQq_EERV

🟡 Associate
➡️ AWS Certified Solutions Architect
https://lnkd.in/g7RBTgKW
➡️ AWS Certified Developer
https://lnkd.in/g2F5UFHg
➡️ AWS Certified SysOps Administrator
https://lnkd.in/giM_2_Qj
➡️ AWS Certified Data Engineer
https://lnkd.in/g687nbeH

🟡 Professional
➡️ AWS Certified Solutions Architect Pro
https://lnkd.in/gUqrz8X3
➡️ AWS Certified DevOps Engineer Pro
https://lnkd.in/gbPWeUuR

🟡 Specialty
➡️ Advanced Networking
https://lnkd.in/ggdVTA2C
➡️ Data Analytics
https://lnkd.in/gnr_BvKH
➡️ Database
https://lnkd.in/gN64Xv49
➡️ Machine Learning
https://lnkd.in/g9fVgwCp
➡️ Security
https://lnkd.in/gwHscntY
➡️ SAP on AWS
https://lnkd.in/gMMpuhZM


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

🚀 Top 10 AI Tools for DevOps Engineers 🤖


🖥 Read the full article here: https://dev.to/prodevopsguytech/top-10-ai-tools-useful-for-devops-engineers-16li

Are you ready to supercharge your DevOps workflows with the power of AI? 🌟 Discover the top 10 AI tools that are transforming the DevOps landscape, from automated monitoring to intelligent CI/CD pipelines!

In this detailed guide, we cover:
- Jenkins X with AI Integration
- Ansible with AI-Powered Automation
- Puppet with Machine Learning Capabilities
- And many more!

Don’t miss out on the tools that can elevate your DevOps game to the next level. Whether you're a beginner or a seasoned pro, this article has something for everyone.

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

What is 𝐜𝐨𝐧𝐭𝐚𝐢𝐧𝐞𝐫𝐝 and how does docker 🐬 work?


When we use the 𝐃𝐨𝐜𝐤𝐞𝐫 𝐂𝐋𝐈 to create a container, the 𝐃𝐨𝐜𝐤𝐞𝐫 𝐜𝐥𝐢𝐞𝐧𝐭 changes the command into a 𝐑𝐄𝐒𝐓𝐟𝐮𝐥 𝐀𝐏𝐈. This API is then sent to the 𝐃𝐨𝐜𝐤𝐞𝐫 𝐃𝐚𝐞𝐦𝐨𝐧.

The Docker Daemon first checks if the image is already on the local system. If it's not, it downloads the image from the 𝐃𝐨𝐜𝐤𝐞𝐫 𝐫𝐞𝐠𝐢𝐬𝐭𝐫𝐲.

Once the image is downloaded,

It calls 𝐜𝐨𝐧𝐭𝐚𝐢𝐧𝐞𝐫𝐝 to start the container. Containerd converts the downloaded image into an 𝐎𝐂𝐈-𝐜𝐨𝐦𝐩𝐥𝐢𝐚𝐧𝐭 𝐛𝐮𝐧𝐝𝐥𝐞.

This bundle is then passed to 𝐜𝐨𝐧𝐭𝐚𝐢𝐧𝐞𝐫𝐝-𝐬𝐡𝐢𝐦, which calls 𝐫𝐮𝐧𝐂 to start the container and handle 𝐧𝐚𝐦𝐞𝐬𝐩𝐚𝐜𝐞𝐬 and 𝐜𝐠𝐫𝐨𝐮𝐩𝐬.

✅ 𝐑𝐮𝐧𝐂 uses 𝐥𝐢𝐛𝐜𝐨𝐧𝐭𝐚𝐢𝐧𝐞𝐫 to interact with the Linux kernel and manage containers.


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

♾ DevOps Real-time scenarios - 5 ♾

🔴 Scenario 9: Release Management.

🔻 Issue: A major release causes unexpected issues in the production environment.

🟢 Resolution:

✅ Feature Flags: Implement feature flags to toggle new features on and off, enabling easy rollbacks if issues arise.
✅ Canary Releases: Deploy the new release to a subset of users to test its stability before a full rollout.
✅ Blue-Green Deployments: Set up blue-green deployments to have two identical environments—one for the current version and one for the new version.
✅ Rollback Plan: Always have a well-defined rollback plan in case issues arise after deployment.

---------------------------------------------

🔴 Scenario 10: Cloud Resource Cost Optimization.

🔻 Issue: Cloud resource costs are increasing beyond budgeted limits.

🟢 Resolution:

✅ Cost Monitoring: Regularly monitor and analyze cloud resource usage and associated costs.
✅ Auto-Scaling: Implement auto-scaling mechanisms to automatically adjust resources based on demand.
✅ Resource Tagging: Use resource tagging to categorize and track resource usage for accurate cost allocation.
✅ Reserved Instances: Utilize reserved instances or savings plans to reduce costs for long-running resources.
✅ Resource Rightsizing: Analyze resource utilization and downsize or upscale resources as needed.


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