Remember that time when everyone was like, "Coding? Nah, DevOps is all about automation, CI/CD, blah-blah." Yeah, me too. In 2020, freshman year, convinced myself I could skip "DSA", "messy code" & just focus on DevOps tools. Big mistake. If you are from a Tier 3 college & genuinely want to do good, learn & earn some good bucks, coding & basic computer science knowledge are good to have.

In 2020, there wasn't much content on DevOps (or could be my algo), but there were few solid senior OPS / DevOps folks whom I followed. In recent times, there has been huge content overload, conflicting advice, and enough acronyms to fill a dictionary. If I were to start in 2023, I would've been lost too.

Why I am sharing this? During my freshman year, I used to follow a guy, from whom I got to know about DevOps. He used to say, "Giving back to the community." In my freshman year, I didn't understand what he meant, but now that I do, I want to share this list of free but best resources/bootcamps you can find online.

1️⃣. DevOps Roadmap by Savinder Puri: https://lnkd.in/d-qTThxi

2️⃣. Computer Networks by Kunal Kushwaha: https://lnkd.in/dWmq_ygr && Git/Github tutorial: https://lnkd.in/dGKHzNYg

3️⃣. Docker by Gourav Shah: https://lnkd.in/dKp6bnEA

4️⃣. Playlist of different tools by Kubesimplify / Saiyam Pathak: https://lnkd.in/dWbEP993

5️⃣. Jenkins by Mukesh Otwani: https://lnkd.in/deXCYGkj

6️⃣. Kubernetes by Abhishek Veeramalla: https://lnkd.in/dA6_mtnh

7️⃣. Cloud by ExamPro / Andrew Brown: https://www.exampro.co/

8️⃣. GoLang by Anthony GG: https://lnkd.in/dwVKg8DG


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

🚀 DevOps Project: High-Level Monitoring in DevOps ♾

🔍 Title: DevOps Project: High-Level Monitoring in DevOps

👨‍💻 Author: ProDevOpsGuy Tech

🌐 Link: Read the full article here

📊 Overview:
In the fast-paced world of DevOps, monitoring is a game-changer! 🕹 It ensures that your infrastructure, applications, and services run smoothly and efficiently. In this article, I dive deep into the essential tools for monitoring in DevOps, including:

- 🟠 AWS CloudWatch: Real-time monitoring of AWS services.
- 🔵 Prometheus: Powerful open-source system monitoring.
- 🚨 Alertmanager: Handling and managing alerts.
- 📊 Grafana: Interactive dashboards for data visualization.
- 🔍 Kibana: Log and time-series analytics with Elasticsearch.

🛠 What You'll Learn:
- How to set up and configure these tools.
- Best practices for creating a robust monitoring environment.
- Tips for ensuring the reliability and scalability of your systems.

👨‍🎓 Whether you're a seasoned DevOps engineer or just starting out, this article will equip you with the knowledge to effectively monitor your systems and improve your software delivery process.

💬 Check it out now and elevate your DevOps monitoring game!


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

🚀 𝗖𝗜𝗖𝗗 𝗣𝗶𝗽𝗲𝗹𝗶𝗻𝗲 𝗪𝗼𝗿𝗸𝗳𝗹𝗼𝘄 𝗶𝗻 𝗔𝘇𝘂𝗿𝗲 𝗗𝗲𝘃𝗢𝗽𝘀 🚀

Here we understand the flow of Azure DevOps CI/CD for deploying to Azure Kubernetes Service.

𝟭. 𝗣𝗥 𝗣𝗶𝗽𝗲𝗹𝗶𝗻𝗲 (𝗣𝘂𝗹𝗹 𝗥𝗲𝗾𝘂𝗲𝘀𝘁)
🛠️ Fast quality checks: linting, building, and unit testing the code.
😀 Failed checks prevent PR merge.
✅ Successful run results in PR merge.

𝟮. 𝗖𝗜 𝗣𝗶𝗽𝗲𝗹𝗶𝗻𝗲 (𝗖𝗼𝗻𝘁𝗶𝗻𝘂𝗼𝘂𝘀 𝗜𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻)
🔄 Runs tasks from PR pipeline + integration tests.
🔒 Accesses secrets from Azure Key Vault.
📦 Creates & publishes container image in non-production Azure Container Repository.

𝟯. 𝗖𝗗 𝗣𝗶𝗽𝗲𝗹𝗶𝗻𝗲 𝗧𝗿𝗶𝗴𝗴𝗲𝗿𝗲𝗱
🚀 Completion of CI pipeline triggers CD pipeline.

𝟰. 𝗦𝘁𝗮𝗴𝗶𝗻𝗴 𝗘𝗻𝘃𝗶𝗿𝗼𝗻𝗺𝗲𝗻𝘁 𝗗𝗲𝗽𝗹𝗼𝘆𝗺𝗲𝗻𝘁
📝 Deploys YAML template to staging AKS environment.
✅ Performs acceptance tests on the staging environment.
⚙️ Manual validation task (optional).

𝟱. 𝗖𝗗 𝗣𝗶𝗽𝗲𝗹𝗶𝗻𝗲 - 𝗠𝗮𝗻𝘂𝗮𝗹 𝗩𝗮𝗹𝗶𝗱𝗮𝘁𝗶𝗼𝗻
👤 Manual validation step to validate deployment.
🎙 Manual intervention resumes the pipeline.

𝟲. 𝗣𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻 𝗗𝗲𝗽𝗹𝗼𝘆𝗺𝗲𝗻𝘁
🚀 Promotes image to production Azure Container Registry.
🚢 Deploys YAML template to production AKS environment.

𝟳. 𝗖𝗼𝗻𝘁𝗮𝗶𝗻𝗲𝗿 𝗜𝗻𝘀𝗶𝗴𝗵𝘁𝘀 & 𝗔𝘇𝘂𝗿𝗲 𝗠𝗼𝗻𝗶𝘁𝗼𝗿
📊 Container Insights forwards performance metrics to Azure Monitor.
📈 Azure Monitor collects observability data - logs, metrics, health, and performance.

𝟴. 𝗞𝗲𝘆 𝗖𝗼𝗺𝗽𝗼𝗻𝗲𝗻𝘁𝘀
📦 Container Registry: Stores private container images.
🛠️ AKS: Managed Kubernetes service by Azure.
🔒 Azure Key Vault: Manages secrets for pipelines.
🔍 Defender for DevOps: Performs static analysis, enhances security visibility across AKS pipelines.

The workflow integrates various stages ensuring code quality, testing, and secure deployments across non-production and production environments in Azure DevOps. Container Insights, Azure Monitor, and Defender for DevOps enhance monitoring, observability, and security within the CI/CD pipeline.


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

⏩ Kubernetes Cost Reduction Techniques

Each technique enables organizations to optimize Kubernetes usage and minimize expenses

𝟭. 𝗥𝗶𝗴𝗵𝘁-𝘀𝗶𝘇𝗶𝗻𝗴 𝗿𝗲𝘀𝗼𝘂𝗿𝗰𝗲𝘀:
Analyze app resource usage, adjust CPU/memory as needed. Avoid over-provisioning to save costs

𝟮. 𝗘𝗳𝗳𝗶𝗰𝗶𝗲𝗻𝘁 𝗡𝗼𝗱 & 𝗣𝗼𝗱 𝗔𝘂𝘁𝗼 𝗦𝗰𝗮𝗹𝗶𝗻𝗴:
Enable cluster auto-scaling and use Horizontal Pod Autoscaler (HPA) and Vertical Pod Autoscaler (VPA) to add or remove nodes / pods based on resource utilization, reducing idle costs

𝟯. 𝗣𝗼𝗱 𝗗𝗶𝘀𝗿𝘂𝗽𝘁𝗶𝗼𝗻 𝗕𝘂𝗱𝗴𝗲𝘁 (𝗣𝗗𝗕):
Set up PDBs to control how many pods of a specific deployment or replica set can be down simultaneously during disruptions, ensuring high availability without overprovisioning

𝟰. 𝗡𝗼𝗱𝗲 𝗧𝗮𝗶𝗻𝘁𝗶𝗻𝗴 𝗮𝗻𝗱 𝗧𝗼𝗹𝗲𝗿𝗮𝘁𝗶𝗼𝗻:
Taint nodes for workload-specific delays, prioritize critical tasks on untainted nodes, and use cheaper tainted nodes for less critical tasks

𝟱. 𝗖𝗼𝗻𝘁𝗮𝗶𝗻𝗲𝗿 𝗥𝗲𝗴𝗶𝘀𝘁𝗿𝘆 & 𝗜𝗺𝗮𝗴𝗲 𝗢𝗽𝘁𝗶𝗺𝗶𝘇𝗮𝘁𝗶𝗼𝗻:
Use cost-efficient container registry, follow image best practices (e.g., multi-stage builds) for smaller images and reduced pull times & storage costs

𝟲. 𝗦𝗽𝗼𝘁 𝗶𝗻𝘀𝘁𝗮𝗻𝗰𝗲𝘀:
Utilize spot instances for non-critical tasks; they're cheaper but can be terminated quickly. Ideal for stateless, fault-tolerant apps


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

📢 Ultimate DevOps Tools Cheatsheet Collection! 🛠

I've just published a comprehensive collection of DevOps Cheatsheets that cover a wide range of tools and topics to help you streamline your workflows and enhance your skills. Whether you're a beginner or looking to deepen your knowledge, these Cheatsheets have got you covered!

📚 What's Inside:
- Containerization: Docker, Kubernetes, Helm, Podman
- CI/CD: Jenkins, GitHub Actions, GitLab CI, CircleCI
- Monitoring: Prometheus, Grafana, ELK Stack, Nagios
- Security: Trivy, SonarQube, AquaSec, HashiCorp Vault
- Cloud: AWS, Azure, GCP, Terraform

➡️ 👥 Who Is This For?
- DevOps Engineers: Get quick access to the tools you use every day.
- Sysadmins: Simplify operations with easy-to-follow guides.
- Developers: Understand the infrastructure behind your applications.
- DevOps Newcomers: Learn the basics and avoid common pitfalls with our beginner-friendly Cheatsheets.

Explore detailed guides, from basic concepts to advanced techniques, and take your DevOps expertise to the next level! 🌟

☁️ Check it out here: DevOps Cheatsheet Repository

Feel free to dive in, contribute, and share your thoughts. Happy DevOps-ing! 🚀


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

⏩ The Ultimate CICD ♾ Corporate DevOps Pipeline Project ⚡️

🖥 https://www.prodevopsguy.xyz/posts/the-ultimate-cicd-corporate-devops-pipeline-project


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

🔥 AWS DEVOPS REAL-TIME DEPLOYMENT

Development → Pre-PROD → Production ⏰

🔗 Detailed Project Explanation with Screenshots : https://blog.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

🚨 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

🚀 Update Alert! 🚀

We’ve just rolled out an important update to our AWS Billing Alert Terraform module! v2.0. Here’s what’s new:

📱 Reference : GIT Commit

- 🔄 Updated AWS provider to the latest version for better compatibility.
- 🎛 Dynamic thresholds: Easily customize billing alerts with new variables.
- 🚨 Enhanced CloudWatch alarms:
- Better handling of missing data.
- Optimized settings for more accurate alerts.
- 📧 Improved SNS subscriptions: Now supports multiple protocols and endpoints.
- 📝 Clearer code comments for easier maintenance and understanding.

Make sure to pull the latest changes and update your configurations! 💻

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

🚀 Mastering GitHub 📱 Branching Strategies for DevOps Engineers 🚀


Efficient GitHub branching strategies can be a game-changer for your CI/CD pipeline and overall workflow. Let's explore some key strategies that can streamline your development process:

1. Main Branch (main/master): The production-ready branch. All code here should be stable and tested.

2. Feature Branches: Branch off from the main branch to work on new features. Keep them short-lived and merge back to main once complete and reviewed.

3. Release Branches: Create these when you're preparing a new release. They allow for final bug fixes and polishing before merging into the main branch.

4. Hotfix Branches: For urgent fixes on the production code. These branches are crucial for quick and isolated bug fixes.

5. Development Branch (develop): An optional branch that serves as an integration branch for features. This is where ongoing development happens before merging into the main branch.

6. Epic Branches: For larger projects, an epic branch can group related feature branches. It helps in managing complex development work.

✨ Tips for Success:

➡️ Regular Merging: Keep your branches updated with the main branch to avoid conflicts.
➡️ Consistent Naming: Use a naming convention for clarity (e.g., feature/login-page, hotfix/payment-bug).
➡️ Pull Requests (PRs): Always use PRs for merging. They facilitate code reviews and discussions.
➡️ Automated Tests: Integrate CI tools to run tests on PRs to ensure code quality.

⏩ Remember, a well-defined branching strategy can greatly enhance collaboration and code quality. Happy coding! 💻💡


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

🟥 DevOps Roadmap from Basics ♾

1. Programming and Scripting: Master Python, Bash, and PowerShell for automation and custom solutions.
2. Version Control: Gain proficiency in Git: basics, branching, merging, and common workflows.
3. Configuration Management: Learn tools like Ansible, Chef, and Puppet to automate environment setups.
4. CI/CD: Implement and optimize pipelines using Jenkins and GitLab CI/CD for continuous integration and delivery.
5. Infrastructure as Code (IaC): Manage infrastructure with Terraform and CloudFormation for scalable, repeatable environments.
6. Containerization: Work with Docker and Podman to build, ship, and run applications consistently across environments.
7. Container Orchestration: Use Kubernetes and Docker Swarm to manage containerized applications at scale.
8. Monitoring and Logging: Monitor systems with Prometheus and analyze logs with the ELK Stack (Elasticsearch, Logstash, Kibana).
9. Cloud Platforms: Gain expertise in cloud services from AWS, Azure, and GCP for flexible and scalable solutions.
10. Security and Compliance: Integrate DevSecOps practices to ensure security is a part of the DevOps pipeline.
11. Networking: Understand the basics of cloud networking, including VPCs, load balancers, and DNS.
12. Release Management: Learn advanced deployment strategies like blue-green deployments and canary releases.
13. Collaboration: Embrace Agile methodologies and tools like Jira and Slack for efficient teamwork.
14. Incident Management: Develop on-call strategies, incident response plans, and use tools for tracking and managing incidents.
15. Automation: Continuously enhance your CI/CD and automation skills, focusing on efficiency and reliability.
16. Continuous Learning: Stay updated with industry certifications, trends, and new technologies.


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

⭐️ 70 AWS interview questions ranging from beginner to advanced levels:


⭐️ Beginner Level
1. What is AWS?
2. What are the key services provided by AWS?
3. What is EC2 in AWS?
4. What is an S3 bucket?
5. Explain the difference between S3 and EBS.
6. What is IAM in AWS?
7. How does AWS VPC work?
8. What are Security Groups and how do they work?
9. What is an AWS region?
10. What are Availability Zones in AWS?
11. What is Auto Scaling?
12. What is Elastic Load Balancing?
13. What is Route 53?
14. Explain the difference between a public and private subnet.
15. What is CloudFormation?
16. What is AWS Lambda?
17. What is Amazon RDS?
18. How do you monitor AWS resources?
19. What is Amazon DynamoDB?
20. What is AWS Elastic Beanstalk?
21. What is Amazon CloudFront?
22. Explain Amazon SNS.
23. What is the difference between RDS and DynamoDB?
24. What are EIPs (Elastic IPs)?
25. How does AWS CloudTrail work?
26. What is Amazon CloudWatch?
27. What is the AWS Free Tier?
28. What is a NAT Gateway?
29. Explain the Shared Responsibility Model in AWS.
30. What are AWS Tags and why are they used?

⭐️ Intermediate Level
31. How do you secure data at rest and in transit in AWS?
32. Explain the difference between AWS S3 Standard and S3 Glacier.
33. How does AWS S3 versioning work?
34. What is AWS Elasticache?
35. Explain the concept of a bastion host.
36. How do you implement high availability in AWS?
37. What is AWS Direct Connect?
38. What are AWS Managed Services?
39. What is AWS Config?
40. How do you set up cross-region replication in S3?
41. Explain AWS KMS.
42. What is Amazon Redshift?
43. How does AWS handle data encryption?
44. What is Amazon EFS?
45. Explain AWS Elastic Transcoder.
46. What is AWS CodePipeline?
47. How do you implement disaster recovery in AWS?
48. What is AWS OpsWorks?
49. What is AWS Step Functions?
50. Explain the difference between Spot Instances and Reserved Instances.
51. What is Amazon SWF?
52. How do you secure an AWS API Gateway?
53. What are Placement Groups in AWS?
54. What is AWS CodeDeploy?
55. How does Amazon Athena work?
56. What is AWS Snowball?
57. Explain the concept of AWS CloudHSM.
58. What is AWS X-Ray?
59. How do you manage secrets in AWS?
60. Explain AWS Systems Manager.

⭐️ Advanced Level
61. What is the difference between horizontal and vertical scaling in AWS?
62. How does AWS Lambda handle cold starts?
63. What is a VPC peering connection and how does it work?
64. Explain the use of AWS Transit Gateway.
65. What is Amazon EKS?
66. How do you manage multi-account AWS environments?
67. Explain the concept of serverless architecture in AWS.
68. What are AWS Organizations?
69. How do you optimize costs in AWS?
70. What are the best practices for securing an AWS environment?


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

1️⃣. Tutorial for Kubernetes

🌐 Introduction to Kubernetes
➡️https://lnkd.in/gz4-zvdC

🌐 Kubernetes tutorials: Hands-on labs with certification
➡️https://lnkd.in/g_2SVjvs

🌐 Networking with Kubernetes | Basics of Kubernetes Networking
➡️https://lnkd.in/gb7UpM6N

🌐 Kubernetes Full Course | Kubernetes Architecture
➡️https://lnkd.in/g8NATDPQ

🌐 what is Kubernetes (playlist)
➡️https://lnkd.in/gACGJzAq

🌐 Docker Containers and Kubernetes Fundamentals - Full Hands-On Course
➡️https://lnkd.in/gwtEN6hS

🌐 Kubernetes for Beginner
➡️https://lnkd.in/gdYZ4bgQ

🌐 Kubernetes Tutorial for Beginners
➡️https://lnkd.in/duGZwHYX

🌐 Kubernetes Tutorial For Beginners - Learn Kubernetes
➡️ https://lnkd.in/gmjRkGSJ

🌐 Kubernetes Full Course
➡️https://lnkd.in/gqr2nzYT

🌐 Kubernetes Course - Full Beginners Tutorial
➡️ https://lnkd.in/de84ESNv

🌐 Kubernetes Tutorial For Beginners
➡️https://lnkd.in/gSRYYGPG

2️⃣. Labs

1. Kubernetes Hands-on Lab #1 – Setting up 5-Node K8s Cluster

2. Kubernetes Hands-on Lab #2 – Running Our First Nginx Cluster

3. Kubernetes Hands-on Lab #3 –
🌐 Deploy Istio Mesh on K8s Cluster
➡️ https://lnkd.in/gpB4DNs6

🌐 Kubernetes 101 workshop - complete hands-on
➡️https://lnkd.in/gUCeEjFF

🌐 Build a Kubernetes Home Lab from Scratch step-by-step!
➡️https://lnkd.in/gM-kRUEh

🌐 Kubernetes Hands on
➡️https://lnkd.in/guhw9iKa

🌐 Hands-on with Kubernetes on Cloud
➡️ https://lnkd.in/gTcKi2Fq

🌐 Kubernetes Project for beginners
https://lnkd.in/gSc2KDAb

3️⃣. Book
🌐 https://lnkd.in/gM7ts9XC


❤️ Follow for more: @prodevopsguy // Join for DevOps DOCs: @devopsdocs

Basic 📱 Git Flow in DevOps ♾ CI-CD!

1️⃣. Developer Creates Feature Branch: The developer creates a new feature branch and is used to work on a new feature or a specific task.

2️⃣. Developer Writes Code: The developer writes the necessary code for the feature in their local development environment.

3️⃣. Developer Commits Changes: Once the developer is satisfied with the changes, they commit the changes to the feature branch in the local Git repository.

4️⃣. Developer Creates Pull Request: The developer pushes the committed changes by creating a pull request to merge the feature branch into the main branch.

5️⃣. Code Review by Team: The pull request initiates a code review process where team members review the changes.

6️⃣. Approval of Pull Request: After addressing any feedback and making necessary adjustments, the pull request is approved by the reviewers.

7️⃣. Merge to Main Branch: The approved pull request is merged into the main branch of the Git repository.

8️⃣. Triggers CI/CD Pipeline: This automation ensures that the changes are continuously integrated and deployed.

9️⃣. Then we follow the procedure for building and testing the code, deploying to staging env. Once the tests in the staging environment pass, a manual approval is required to deploy the changes to the production environment. Once the code is deployed to production env, the prod env is monitored using Prometheus to track the performance and health of the application. The collected metrics are visualized using Grafana. Finally alerts are configured.


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

☸️ 𝐊𝐮𝐛𝐞𝐫𝐧𝐞𝐭𝐞𝐬 𝐀𝐫𝐜𝐡𝐢𝐭𝐞𝐜𝐭𝐮𝐫𝐞 𝐄𝐱𝐩𝐥𝐚𝐢𝐧𝐞𝐝!

- Cluster 📔: The overall Kubernetes environment, managing applications across nodes.
- Node ⚙️: A machine (Master or Worker) in the cluster that runs workloads.
- Pod 📦: The smallest deployable unit, containing one or more containers, running on a node.
- Service 🌐: Provides stable access to pods, with load balancing.
- Namespace 🗃️: Logical partition to organize resources within the cluster.
- API Server 🚏: Handles requests to the cluster.
- etcd 📚: Stores all cluster data.
- Scheduler 🗓: Assigns pods to nodes.
- Kubelet 💻: Manages pod lifecycle on each node.
- Kube Proxy 🔋 : Manages network communication for services.


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

🌟 New In-Depth DevOps Project: Build a Corporate-Grade CI/CD Pipeline! 🌟


🔥 Read the full guide now and start building: The Ultimate CI/CD Corporate DevOps Pipeline Project

🔧 Calling all DevOps professionals, enthusiasts, and beginners!

Are you ready to take your DevOps skills to the next level? I've just published an exclusive, step-by-step guide on how to build a highly automated, secure, and scalable CI/CD pipeline using some of the industry's most powerful tools—Jenkins, Docker, Trivy, SonarQube, and Nexus!

What You’ll Learn in This Project:

1. Infrastructure Setup on AWS: 🚀
- Learn how to spin up Ubuntu VMs in AWS and prepare them for your DevOps environment.

2. Automated Docker Builds & Deployments: 🐳
- Master Docker installation and configuration to ensure seamless containerization of your apps.

3. Jenkins CI/CD Pipeline Configuration: 🔧
- Set up Jenkins to automate the build, test, and deployment processes, integrating everything from code checkout to production deployment.

4. Security Scanning with Trivy: 🔍
- Automatically scan your Docker images for vulnerabilities to keep your deployments secure.

5. Code Quality Checks with SonarQube: 📈
- Analyze your code quality using SonarQube, integrated directly into your Jenkins pipeline for continuous feedback.

6. Repository Management with Nexus: 📦
- Learn how to use Nexus for managing your dependencies and storing your build artifacts.

Why This Project is a Must-Try:

- Real-World Application: Perfect for those working in corporate environments or looking to level up their DevOps expertise.
- Comprehensive Guide: Detailed steps with code snippets, commands, and best practices to ensure you don’t miss a thing.
- Security & Quality Focused: Integrate security and quality checks directly into your CI/CD process, ensuring your code is always production-ready.
- Scalable & Extendable: Build a pipeline that can grow with your project, accommodating new tools and stages as your needs evolve.

Ready to dive in and transform your CI/CD processes? 🚀

Don’t forget to share your thoughts, results, and improvements in the comments! Let's build the future of DevOps together! 🌐

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