DevOps & Cloud (AWS, AZURE, GCP) Tech Free Learning
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https://projects.prodevopsguytech.com // https://blog.prodevopsguytech.com • We post Daily Trending DevOps/Cloud content • All DevOps related Code & Scripts uploaded • DevOps/Cloud Job Related Posts • Real-time Interview questions & preparation guides
Показати більше📈 Аналітичний огляд Telegram-каналу DevOps & Cloud (AWS, AZURE, GCP) Tech Free Learning
Канал DevOps & Cloud (AWS, AZURE, GCP) Tech Free Learning (@prodevopsguy) у мовному сегменті Англійська є активним учасником. На даний момент спільнота об'єднує 16 318 підписників, посідаючи 7 977 місце в категорії Технології та додатки та 25 792 місце у регіоні Індія.
📊 Показники аудиторії та динаміка
З моменту свого створення невідомо, проект продемонстрував стрімке зростання, зібравши аудиторію у 16 318 підписників.
За останніми даними від 07 липня, 2026, канал демонструє стабільну активність. Хоча за останні 30 днів спостерігається зміна кількості учасників на 166, а за останні 24 години на 0, загальне охоплення залишається високим.
- Статус верифікації: Не верифікований
- Рівень залученості (ER): Середній показник залученості аудиторії становить 0%. Протягом перших 24 годин після публікації контент зазвичай збирає N/A% реакцій від загальної кількості підписників.
- Охоплення публікацій: В середньому кожен допис отримує 0 переглядів. Протягом першої доби публікація в середньому набирає 0 переглядів.
- Реакції та взаємодія: Аудиторія активно підтримує контент: середня кількість реакцій на один пост – 0.
- Тематичні інтереси: Контент зосереджений навколо ключових тем, таких як devops, docker, terraform, kubernete, git.
📝 Опис та контентна політика
Автор описує ресурс як майданчик для висловлення суб'єктивної думки:
“https://projects.prodevopsguytech.com // https://blog.prodevopsguytech.com
• We post Daily Trending DevOps/Cloud content
• All DevOps related Code & Scripts uploaded
• DevOps/Cloud Job Related Posts
• Real-time Interview questions & preparation guid...”
Завдяки високій частоті оновлень (останні дані отримано 08 липня, 2026), канал підтримує актуальність та високий рівень охоплення публікацій. Аналітика показує, що аудиторія активно взаємодіє з контентом, що робить його важливою точкою впливу в категорії Технології та додатки.
16 318
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Немає даних24 години
+367 днів
+16630 день
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#️⃣JENKINS CI/CD ♾ PIPELINE
1️⃣ User (Developer)
🔣 Role (Code Management and Collaboration): Write, test, and push new code to GitHub. May also be responsible for reviewing pull requests and updating documentation
🔣 How It Works: Developers create new features, fixes, or updates and 'push' this code to GitHub after local testing
2️⃣ GitHub (Code Repository)
🔣 Role (Version Control and Webhooks): Maintains version control and tracks changes in the codebase
🔣 How It Works: Once webhooks are manually set up, GitHub automatically triggers a webhook when the developer pushes new code, sending a notification to Jenkins
3️⃣ Jenkins (Automation Server)
🔣 Role (Continuous Integration and Continuous Delivery): Detects code changes and performs automated tasks like testing and building
🔣 How It Works: Upon receiving the webhook notification from GitHub, Jenkins automatically runs predefined tasks and tests. After successful completion, Jenkins invokes Ansible via a shell command or script
4️⃣ Ansible (Automation and Configuration Management)
🔣 Role (Server Configuration and Deployment): Manages server configurations, can create Docker images, and handles other automation tasks
🔣 How It Works: Following the invocation from Jenkins, Ansible runs predefined scripts to manage server configurations and, if needed, create and prepare a Docker image
5️⃣ Docker (Container Platform)
🔣 Role (Containerization and Orchestration): Creates and manages containers for application deployment, and provides orchestration, networking, and storage features
🔣 How It Works: The Docker image prepared by Ansible is run as a container on the Docker platform
In this way, the process that starts with a developer 'pushing' code to GitHub goes through stages of automated webhook triggering, continuous delivery,
Docker image creation, and container deployment.
All these steps are automated to minimize manual errors and speed up the process.🌐 𝐅𝐨𝐥𝐥𝐨𝐰 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs
🌟 𝑨 𝑫𝒂𝒚 𝒊𝒏 𝒕𝒉𝒆 𝑳𝒊𝒇𝒆 𝒐𝒇 𝒂 𝑫𝒆𝒗𝑶𝒑𝒔 𝑬𝒏𝒈𝒊𝒏𝒆𝒆𝒓: 𝑩𝒂𝒍𝒂𝒏𝒄𝒊𝒏𝒈 𝑰𝒏𝒏𝒐𝒗𝒂𝒕𝒊𝒐𝒏 𝒂𝒏𝒅 𝑺𝒕𝒂𝒃𝒊𝒍𝒊𝒕𝒚 🌟
As a DevOps engineer, every day brings a unique blend of challenges and opportunities to drive innovation while ensuring the stability of our systems.Here’s a glimpse into what a typical day looks like
1. 𝐂𝐨𝐧𝐭𝐢𝐧𝐮𝐨𝐮𝐬 𝐈𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧 & 𝐃𝐞𝐩𝐥𝐨𝐲𝐦𝐞𝐧𝐭 (𝐂𝐈/𝐂𝐃): Mornings often start with reviewing and enhancing our CI/CD pipelines. Automating builds, tests, and deployments not only accelerates our development cycles but also improves overall software quality
2. 𝐈𝐧𝐟𝐫𝐚𝐬𝐭𝐫𝐮𝐜𝐭𝐮𝐫𝐞 𝐚𝐬 𝐂𝐨𝐝𝐞 (𝐈𝐚𝐂): Crafting infrastructure using tools like Terraform or CloudFormation ensures consistency and scalability.
3. 𝐌𝐨𝐧𝐢𝐭𝐨𝐫𝐢𝐧𝐠 𝐚𝐧𝐝 𝐈𝐧𝐜𝐢𝐝𝐞𝐧𝐭 𝐑𝐞𝐬𝐩𝐨𝐧𝐬𝐞: Monitoring our systems is crucial. Rapid incident response is key to maintaining high availability and minimizing downtime.
4. 𝐂𝐨𝐥𝐥𝐚𝐛𝐨𝐫𝐚𝐭𝐢𝐨𝐧 & 𝐊𝐧𝐨𝐰𝐥𝐞𝐝𝐠𝐞 𝐒𝐡𝐚𝐫𝐢𝐧𝐠: DevOps thrives on collaboration. Whether it’s troubleshooting with developers, sharing best practices with teams, or participating in cross-functional meetings, fostering a culture of continuous learning is essential
5. 𝐒𝐞𝐜𝐮𝐫𝐢𝐭𝐲 𝐚𝐧𝐝 𝐂𝐨𝐦𝐩𝐥𝐢𝐚𝐧𝐜𝐞: Integrating security into every stage of our pipeline is non-negotiable.
6. 𝐂𝐨𝐧𝐭𝐢𝐧𝐮𝐨𝐮𝐬 𝐈𝐦𝐩𝐫𝐨𝐯𝐞𝐦𝐞𝐧𝐭: At the heart of DevOps is continuous improvement. Reflecting on metrics, gathering feedback, and planning optimizations are ongoing processes.
✈️ 𝐅𝐨𝐥𝐥𝐨𝐰 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs
Instagram 📱 Architecture
Instagram, boasting over 2 billion users, is a powerhouse of innovation, and its success hinges on a robust and scalable architecture. Let's explore some key components:
Microservices Architecture: Instagram leverages microservices for independent, modular development. This enables flexible scaling of individual components based on demand.
Global Content Delivery Network (CDN): A robust CDN ensures fast and reliable content delivery for users worldwide. Caching frequently accessed data at geographically distributed edge locations minimizes latency and improves user experience.
Tech Stack Powerhouse: Instagram utilizes a diverse mix of technologies to handle various tasks:
Frontend: React (UI framework), GraphQL (API querying), Native mobile development with Swift (iOS) and Kotlin (Android)
Backend: Django (web framework), Gunicorn (web server)
Data Storage: Memcached (in-memory caching), PostgreSQL (relational database), Cassandra (NoSQL database for high-volume data), CockroachDB (distributed SQL database for scalability)
Messaging/Streaming: Apache Kafka (distributed streaming platform), Scuba (Facebook-developed messaging system)
Data Processing: Spark (large-scale data processing), Presto (ad-hoc SQL querying), Scuba (for internal data pipelines)
DevOps: Kubernetes (container orchestration), Docker (containerisation), ELK Stack (log management), Prometheus (monitoring)
✈️ 𝐅𝐨𝐥𝐥𝐨𝐰 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs
🌟 25 Essential DevOps Real-Time Interview Questions 🌟
Are you gearing up for a DevOps interview? Here are 25 critical questions that will help you shine! 💼💻
1.What is CI/CD and why is it important?
2. Explain the difference between Docker and Kubernetes.
3. How do you ensure high availability in a cloud environment?
4. What are the different stages in a DevOps pipeline?
5. How do you monitor and troubleshoot application performance?
6. Describe a situation where you had to resolve a production issue.
7. What are some best practices for infrastructure as code (IaC)?
8. How do you handle security in a DevOps workflow?
9. What tools do you use for configuration management and why?
10. Explain the concept of blue-green deployment.
11. How does container orchestration work?
12. What is the role of a reverse proxy in a DevOps environment?
13. How do you implement logging and monitoring for microservices?
14. What is a service mesh and why is it useful?
15. Can you explain the concept of immutable infrastructure?
16. How do you manage secrets and sensitive data in your deployments?
17. What are the key metrics you monitor in a DevOps environment?
18. How do you handle load balancing and scaling in Kubernetes?
19. What is a canary deployment and how is it different from blue-green deployment?
20. How do you ensure disaster recovery and backup in cloud infrastructure?
21. What are the common challenges in a DevOps transformation?
22. Explain the use of Ansible/Puppet/Chef in DevOps.
23. How do you integrate security practices into your CI/CD pipeline?
24. What is the significance of automated testing in DevOps?
25. How do you manage and optimize costs in a cloud environment?
💡 Tip: Be ready to discuss real-world scenarios and your hands-on experience with various DevOps tools and practices.
Good luck! 🍀
📱 𝐅𝐨𝐥𝐥𝐨𝐰 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs
How to start a career in DevOps ♾ as a fresher & gaining practical experience?
⏩https://www.linkedin.com/pulse/how-start-career-devops-fresher-gaining-practical-experience-reddy-p7wmc
✈️ 𝐅𝐨𝐥𝐥𝐨𝐰 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs
The Power of Linux 🐧
To be on the safe side, migrate to Linux platforms 😊
🔥 AWS DEVOPS REAL-TIME DEPLOYMENT
Development → Pre-PROD → Production ⏰
🔗 Detailed Project Explanation with Screenshots : https://prodevopsguy.xyz/aws-devops-real-time-deployment-dev-pre-prod-production
🔗Project Source code: https://github.com/NotHarshhaa/AWS-DevOps_Real-Time_Deployment
🎄 𝐅𝐨𝐥𝐥𝐨𝐰 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs
🚀 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗲 𝗺𝘂𝗹𝘁𝗶𝘀𝘁𝗮𝗴𝗲 𝗽𝗶𝗽𝗲𝗹𝗶𝗻𝗲 𝘀𝗲𝘁𝘂𝗽 𝗶𝗻 𝗔𝘇𝘂𝗿𝗲 🌐
Here's a breakdown of our Dataflow process:
1️⃣ 𝗩𝗶𝘀𝘂𝗮𝗹 𝗦𝘁𝘂𝗱𝗶𝗼 𝗞𝗶𝗰𝗸-𝗼𝗳𝗳:
Developers initiate projects using predefined templates, like the .NET Angular workload. This setup includes an Azure Resource Group project deploying key elements via an ARM template – Azure App Service plan, App Service instance, and Application Insights.
2️⃣ 𝗣𝗶𝗽𝗲𝗹𝗶𝗻𝗲 𝗗𝗲𝗳𝗶𝗻𝗶𝘁𝗶𝗼𝗻 𝘄𝗶𝘁𝗵 𝗬𝗔𝗠𝗟:
A YAML file outlines our multistage pipeline, guiding solution building and publication.
3️⃣ 𝗚𝗶𝘁 𝗣𝘂𝘀𝗵 𝘁𝗼 𝗔𝘇𝘂𝗿𝗲 𝗥𝗲𝗽𝗼𝘀:
Utilizing 'git push' to transfer the solution into Azure Repos repository.
4️⃣ 𝗔𝘇𝘂𝗿𝗲 𝗗𝗲𝘃𝗢𝗽𝘀 𝗡𝗼𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻:
Triggered by the Git command, Azure DevOps Services dispatches notifications through webhooks.
5️⃣ 𝗟𝗼𝗴𝗶𝗰 𝗔𝗽𝗽 𝗔𝗰𝘁𝗶𝘃𝗮𝘁𝗶𝗼𝗻:
Webhook triggers a logic app to further process the notification.
6️⃣ 𝗟𝗼𝗴𝗶𝗰 𝗔𝗽𝗽 𝗔𝗻𝗮𝗹𝘆𝘀𝗶𝘀:
Logic app assesses the repository branch - whether it's the main branch or a feature branch. In case of a main branch commit, it looks for corresponding pipelines.
7️⃣ 𝗣𝗶𝗽𝗲𝗹𝗶𝗻𝗲 𝗠𝗮𝗻𝗮𝗴𝗲𝗺𝗲𝗻𝘁:
If a pipeline exists in Azure Pipelines, the logic app uses Azure DevOps Services REST API to update it. Otherwise, it dynamically creates one.
8️⃣ 𝗠𝘂𝗹𝘁𝗶𝘀𝘁𝗮𝗴𝗲 𝗣𝗶𝗽𝗲𝗹𝗶𝗻𝗲 𝗘𝘅𝗲𝗰𝘂𝘁𝗶𝗼𝗻:
This pipeline builds, publishes, and deploys an artifact to Azure resources. The artifact comprises a .NET Angular zip folder for App Service instance deployment and ARM templates with parameter files for Azure infrastructure provisioning.
9️⃣ 𝗦𝘁𝗮𝗴𝗶𝗻𝗴 𝗘𝗻𝘃𝗶𝗿𝗼𝗻𝗺𝗲𝗻𝘁 𝗗𝗲𝗽𝗹𝗼𝘆𝗺𝗲𝗻𝘁:
Artifact deployment to Azure staging environment.
🔟 𝗣𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻 𝗘𝗻𝘃𝗶𝗿𝗼𝗻𝗺𝗲𝗻𝘁 𝗗𝗲𝗽𝗹𝗼𝘆𝗺𝗲𝗻𝘁:
Subsequent deployment to Azure production environment.
Result? ⏱
Reduced labor through automated pipeline provisioning and Azure infrastructure setup. 🛠
❤️ 𝐅𝐨𝐥𝐥𝐨𝐰 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs
🚀 Mastering AWS DevOps: Elevate Your Cloud Game! 🌩
Dive into the world of AWS DevOps and transform your cloud infrastructure with cutting-edge tools and practices. Here's what you need to know:
🔧 Core Components:
1. AWS CodePipeline: Automate your release pipelines with ease.
2. AWS CodeBuild: Scalable build service to compile your source code, run tests, and produce software packages.
3. AWS CodeDeploy: Automate code deployments to any instance, be it EC2 or on-premises.
4. AWS CodeCommit: Secure and scalable source control service to host Git repositories.
📊 Monitoring and Logging:
- Amazon CloudWatch: Monitor and log your AWS resources and applications.
- AWS X-Ray: Trace and debug applications built using a microservices architecture.
🔐 Security:
- AWS Identity and Access Management (IAM): Fine-grained access control for users and services.
- AWS Key Management Service (KMS): Create and manage cryptographic keys securely.
🔄 Continuous Integration & Continuous Deployment (CI/CD):
- Integrate with Jenkins, GitHub Actions, or GitLab CI for streamlined CI/CD workflows.
🚀 Scalability and Performance:
- AWS Elastic Beanstalk: Quickly deploy and manage applications in the AWS Cloud without worrying about the infrastructure.
- AWS Auto Scaling: Ensure your application scales automatically to meet demand.
🔧 Infrastructure as Code (IaC):
- AWS CloudFormation: Model and set up your AWS resources using code.
🌍 Global Reach:
- Utilize AWS Global Infrastructure for deploying your applications across multiple regions.
Stay tuned for more insights and tips on leveraging AWS DevOps to boost your cloud efficiency and productivity. Happy DevOps-ing! 🤖💻✈️ 𝐅𝐨𝐥𝐥𝐨𝐰 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs
🚀 Best Freshers Projects for DevOps Engineers 🚀
👋 Hello Freshers! Ready to kickstart your career in DevOps? Here are some exciting project ideas to get you started and build a solid portfolio:
1. Automated Deployment Pipeline:
- Learn to set up CI/CD pipelines using Jenkins, GitLab CI, or GitHub Actions.
- Automate testing, integration, and deployment processes.
2. Containerized Applications with Docker:
- Containerize a web application using Docker.
- Deploy multi-container applications with Docker Compose.
3. Infrastructure as Code (IaC):
- Use Terraform or AWS CloudFormation to manage and provision cloud infrastructure.
- Practice writing modular and reusable code.
4. Kubernetes Cluster Setup:
- Set up a Kubernetes cluster from scratch.
- Deploy and manage applications in a Kubernetes environment.
5. Monitoring and Logging:
- Implement monitoring using Prometheus and Grafana.
- Set up centralized logging with ELK Stack (Elasticsearch, Logstash, Kibana).
6. Configuration Management:
- Use Ansible or Puppet to automate configuration management tasks.
- Write playbooks/manifests to manage server configurations.
7. Version Control and Collaboration:
- Contribute to open-source projects on GitHub.
- Learn best practices for branching, merging, and pull requests.
8. Cloud Services Deployment:
- Deploy and manage applications on AWS, Azure, or Google Cloud.
- Get hands-on experience with services like EC2, S3, RDS, and Lambda.
📈 Tips to Succeed:
- Document your projects on GitHub with detailed README files.
- Write blogs or create videos to explain your projects.
- Network with other DevOps enthusiasts and professionals.
🛠 Start building your projects today and showcase your skills to potential employers. Happy coding! 🎉
⚡️ 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy & @devopsdocs 𝗳𝗼𝗿 𝗺𝗼𝗿𝗲 𝘀𝘂𝗰𝗵 𝗰𝗼𝗻𝘁𝗲𝗻𝘁 𝗮𝗿𝗼𝘂𝗻𝗱 𝗰𝗹𝗼𝘂𝗱 & 𝗗𝗲𝘃𝗢𝗽𝘀!!!
🚨 Deploying an app on Azure involves a few steps. Let's walk through them:
1. Create and Set Up Your Azure Account:
Sign in to your Azure portal.
If you're new to Azure, follow the Microsoft-Azure portal guide to get started.
2. Build Your Web Application:
Create your web app using your preferred tech stack (e.g., C#, Java, Python, etc.).
You can host your code on GitHub or any other Version Control System.
3. Create a Resource Group:
Resource groups help manage access control and resource allocation.
If you don't have an existing resource group, create a new one in the Azure portal.
4. Set Up Your Web App Service:
In the Azure portal, navigate to "App Services."
Choose the "Create" option and customize settings:
Basics: Select the resource group, name your web app, choose a region, and set the runtime stack (e.g., Java, .NET, etc.).
Deployment: Configure continuous deployment from GitHub or other sources.
Other tabs allow further customization (networking, monitoring, tags).
Review and create your web app.
5. Deploy Your Web App:
Click on your web app's name in App Services.
Find the "Default domain" link, which is the deployed URL.
Access your web app and modify it as needed.
Remember, there are various approaches and options for deploying web apps on Azure. Choose the one that best suits your requirements and application complexity[1]. Happy deploying! 🚀🔵➡️Reference links: [1] [2] [3] [4] [5] 📱 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs
🚨 AWS with Terraform and Jenkins Pipeline ♾
In this article, we will explain how to create and manage the public and private subnets using terraform and create instance in the desired subnet.
🌐 Blog Link: https://blog.prodevopsguy.xyz/aws-with-terraform-and-jenkins-pipeline
☁️ Source Code Link: https://github.com/NotHarshhaa/Jenkins-Terraform-AWS-Infra
💬 𝐅𝐨𝐥𝐥𝐨𝐰 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs
🌟 A Day in the Life of a DevOps Engineer 🌟
👨💻 Ever wondered what a DevOps Engineer does every day?Here’s a glimpse into their daily lifecycle:
1. Morning Standup Meeting:
- Participate in a daily scrum meeting to discuss progress, blockers, and plans for the day.
2. Code Review and Integration:
- Review code changes submitted by developers.
- Ensure seamless integration by merging code into the main branch.
3. CI/CD Pipeline Management:
- Monitor and manage Continuous Integration/Continuous Deployment pipelines.
- Fix any issues that arise in automated build and deployment processes.
4. Infrastructure as Code (IaC):
- Write and update scripts using tools like Terraform or CloudFormation.
- Provision and configure cloud resources programmatically.
5. Container Management:
- Build, test, and deploy Docker containers.
- Manage Kubernetes clusters for container orchestration.
6. Monitoring and Incident Response:
- Use tools like Prometheus and Grafana for system monitoring.
- Respond to alerts and troubleshoot issues to maintain system uptime.
7. Configuration Management:
- Automate configuration tasks with Ansible, Chef, or Puppet.
- Ensure consistency across development, testing, and production environments.
8. Collaboration and Communication:
- Work closely with developers, QA, and operations teams.
- Communicate effectively to resolve issues and implement new features.
9. Continuous Improvement:
- Analyze system performance and identify areas for improvement.
- Implement best practices for security, scalability, and efficiency.
10. Learning and Development:
- Stay updated with the latest tools, technologies, and industry trends.
- Participate in training sessions and attend webinars/conferences.
🔧 Being a DevOps Engineer is dynamic and challenging, requiring a mix of technical skills, problem-solving abilities, and collaboration.
📱 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs
Hi there,
Google Cloud is excited to announce the launch of Google Cloud Masters program – an initiative to help professional developers to gain real-world, hands-on cloud experience, while building your cloud competencies. And along the way, you can get recognized for your efforts.
Website Link: https://googlecloudmaster.com/
Please find the brief information about the program. If you need more information, you can also reach out to at
(Hari Krishna A - 9980198045).
Looking forward to your response.
🚀 Google Cloud CLI Commands for DevOps Engineers 🌐
Get the most out of Google Cloud Platform (GCP) with these essential
gcloud commands! Here's a handy reference to help you streamline your DevOps workflows. 📑
🌟 Setup & Configuration
1. Initialize GCP SDK:
gcloud init gcloud auth login gcloud config set project [PROJECT_ID] gcloud compute instances list gcloud compute instances create [INSTANCE_NAME] --zone=[ZONE] gcloud compute instances start [INSTANCE_NAME] --zone=[ZONE]
gcloud compute instances stop [INSTANCE_NAME] --zone=[ZONE]
gcloud compute instances delete [INSTANCE_NAME] --zone=[ZONE] gcloud container clusters get-credentials [CLUSTER_NAME] --zone=[ZONE] gcloud container clusters list gcloud container clusters create [CLUSTER_NAME] --zone=[ZONE]
gcloud container clusters delete [CLUSTER_NAME] --zone=[ZONE] gcloud storage ls gcloud storage buckets create gs://[BUCKET_NAME]
gcloud storage buckets delete gs://[BUCKET_NAME] gcloud storage cp [LOCAL_PATH] gs://[BUCKET_NAME]/[OBJECT_NAME]
gcloud storage cp gs://[BUCKET_NAME]/[OBJECT_NAME] [LOCAL_PATH] gcloud bigquery datasets list gcloud bigquery datasets create [DATASET_NAME]
gcloud bigquery datasets delete [DATASET_NAME] gcloud bigquery query "SELECT * FROM `[PROJECT_ID].[DATASET].[TABLE]` LIMIT 10" gcloud deployment-manager deployments list gcloud deployment-manager deployments create [DEPLOYMENT_NAME] --config [CONFIG_FILE]
gcloud deployment-manager deployments delete [DEPLOYMENT_NAME] gcloud iam service-accounts list gcloud iam service-accounts create [ACCOUNT_NAME]
gcloud iam service-accounts delete [ACCOUNT_NAME]@[PROJECT_ID].iam.gserviceaccount.com gcloud sql instances list gcloud sql instances create [INSTANCE_NAME] --tier=db-n1-standard-1 --region=[REGION]
gcloud sql instances delete [INSTANCE_NAME]
Kubernetes Cluster Election
💡 Choosing the Right K8s Environment for Your Needs
K8s offers various technologies tailored to different tasks, each with its own characteristics and advantages.
Some popular options:
1️⃣ Minikube (https://lnkd.in/ePQKyEZ7)
> Compatible with Linux, Windows, and macOS
> Uses virtualization to deploy a cluster on a Linux virtual machine
> Suitable for Linux without virtualization support
2️⃣ Kubeadm (https://lnkd.in/epyumfKZ)
> The official CNCF tool for provisioning Kubernetes clusters
> Offers flexibility for various cluster configurations (single node, multi-node, HA, self-hosted, etc.)
> Ideal for launching minimal viable Kubernetes clusters
3️⃣ Kops (Kubernetes Operations) (https://lnkd.in/e7ApRVJP)
> Provides tools for installing, operating, and removing Kubernetes clusters on cloud platforms like AWS, Google Cloud Platform, OpenStack, and DigitalOcean
4️⃣ Microk8s (https://microk8s.io)
> Similar to Minikube, it creates single-node clusters
> Features its own set of add-ons as configuration plugins
> Exclusive to Linux environments
5️⃣ K3s (https://k3s.io)
> Works on any Linux distribution without external dependencies
> Replaces Docker with containerd as the container runtime and uses sqlite3 as the default database
> Lightweight, consuming only 512MB of RAM and 200MB of disk space.
6️⃣ Kind (Kubernetes-in-Docker) (https://kind.sigs.k8s.io)
> Runs Kubernetes clusters in Docker containers
> Supports multi-node and High-Availability clusters
> Compatible with Windows, Mac, and Linux as it runs on top of Docker
7️⃣ K3d (https://k3d.io)
> A project aiming to dockerize K3s
The choice of the Kubernetes environment depends on your project's specific needs.
Once you understand K8s basics, the next step is to create a cluster, which can be done both locally and in the cloud.✈️ 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝗳𝗼𝗿 𝗺𝗼𝗿𝗲 𝘀𝘂𝗰𝗵 𝗰𝗼𝗻𝘁𝗲𝗻𝘁 𝗮𝗿𝗼𝘂𝗻𝗱 𝗰𝗹𝗼𝘂𝗱 & 𝗗𝗲𝘃𝗢𝗽𝘀!!! // Join for DevOps DOCs: @devopsdocs
GitHub ☁️ - 30 GitHub commands used by every DevOps Engineer
🖥 https://dev.to/prodevopsguytech/github-30-github-commands-used-by-every-devops-engineer-4llj
❤️ 𝐅𝐨𝐥𝐥𝐨𝐰 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs
🚨 AWS Billing Alert Terraform Module
⚙️ Excited to share my latest open-source contribution - The AWS Billing Alert Terraform Module!
📱 Link: https://github.com/NotHarshhaa/aws-billing-alert-terraform.git
Navigating AWS costs can sometimes be tricky. To aid users in proactive cost management, I've developed a Terraform module that automates the setup of billing alerts. With this tool, you'll receive timely notifications if your AWS charges cross predefined thresholds.
📊 Integrated with AWS #CloudWatch - Monitor your #billing metrics seamlessly.
📣 Leverages AWS #SNS - Get instant notifications so you can act swiftly.
For those keen on ensuring their AWS expenses stay within predictable boundaries, this tool is a valuable asset for every AWS Engineer.
❤️ 𝐅𝐨𝐥𝐥𝐨𝐰 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs
