🔔 Here is a list of some Resume Ready DevOps projects (Part-II)

➡️ Real-Time CI CD Pipeline From Scratch with Jenkins:-
🔗 https://lnkd.in/day6k4GE

➡️ Creating AWS EKS Cluster using Terraform:-
🔗 https://lnkd.in/gjtjHuw4

➡️ Cost Optimization through AWS Lambda Function:-
🔗 https://lnkd.in/drDazJ9E

➡️ AWS Ninja — Convert EBS Volume from gp2 to gp3:-
🔗 https://lnkd.in/d6mUFdEK

➡️ Real-World CI/CD DevSecOps Pipeline for Deployment of Python Web-app:-
🔗 https://lnkd.in/d-TJisDn

➡️ AWS S3 Event Triggering Shell Script Used by Netflix, Airbnb, Adobe, Expedia, and Others :-
🔗 https://lnkd.in/dXhzdwP8

➡️ Deploy Multi Stage CICD Pipeline with Amazon EKS :-
🔗 https://lnkd.in/dEn7Vexj

➡️ Deploying Spring Boot application on K8S :-
🔗 https://lnkd.in/d8E_N_eg

➡️ Netflix Clone application via K8's:-
🔗 https://lnkd.in/d2zBUdMG
🔗 https://lnkd.in/dPVTDK9r

➡️ Deploy a Flask Application to a EKS Cluster using Jenkins and ArgoCD :-
🔗 https://lnkd.in/dn8WtnWj


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

Optimise your 🐬 docker image by 95% not just in size but also in security.


1. 𝗨𝘀𝗲 𝗠𝘂𝗹𝘁𝗶-𝗦𝘁𝗮𝗴𝗲 𝗯𝘂𝗶𝗹𝗱𝘀.

Stage 1 will build an artifact consisting of all the required libraries & dependencies. Stage 2 will use a slim/scratch base image and copy only the artifact from Stage 1 resulting in up to 95% less image size.

2. 𝗣𝗶𝗰𝗸 𝘀𝗹𝗶𝗺 𝘃𝗲𝗿𝗶𝗳𝗶𝗲𝗱 𝗯𝗮𝘀𝗲 𝗶𝗺𝗮𝗴𝗲𝘀.

Slim images don’t have any unnecessary components like shell utilities, libraries, or metadata. It will reduce the size and the attack surface area.

3. 𝗕𝗲𝗻𝗲𝗳𝗶𝘁 𝗳𝗿𝗼𝗺 𝘁𝗵𝗲 𝗟𝗮𝘆𝗲𝗿 𝗖𝗮𝗰𝗵𝗶𝗻𝗴.

Always order the instructions from least changing to most changing i.e. use COPY instruction much later in the Dockerfile.

4. 𝗨𝘀𝗲 𝗹𝗲𝘀𝘀 𝗹𝗮𝘆𝗲𝗿𝘀.

Commands like RUN COPY ADD create layers. Fewer layers = Small Size = Faster Build Times.

5. 𝗡𝗲𝘃𝗲𝗿 𝗿𝘂𝗻 𝗶𝗺𝗮𝗴𝗲𝘀 𝗮𝘀 𝘁𝗵𝗲 𝗿𝗼𝗼𝘁 𝘂𝘀𝗲𝗿.

By default, every image runs with root privileges, so make sure you run the image as a non-pseudo user[may break your application, some processes need root privileges]

6. 𝗦𝗰𝗮𝗻 𝗶𝗺𝗮𝗴𝗲𝘀 𝗳𝗼𝗿 𝘃𝘂𝗹𝗻𝗲𝗿𝗮𝗯𝗶𝗹𝗶𝘁𝗶𝗲𝘀 using tools like Trivy & Scout.

Avoid CRITICAL and HIGH vulnerabilities.

Tip: To see individual layers of an image use tools like Dive

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

Azure Cloud Bootcamp 2024 with projects live now 🔥

Claim/Register for all benifits 🐦 (Free Azure DevOps Course Included) 🆓

⚡️ Bootcamp Syllabus: https://blog.prodevopsguy.xyz/complete-azure-bootcamp-2024-with-azure-devops-your-ultimate-course-to-mastering-the-cloud

⚡️ Purchase link: https://topmate.io/prodevopsguytech/1181373

- Complete Azure Cloud
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⚡️ 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

🚨 Best DevOps Projects for Beginners and Intermediate Learners ❕

Here are some excellent DevOps projects to enhance your skills and gain practical experience:

🟢 Beginner-Friendly Projects:
➡️ Containerize a Simple Application: Build a Docker image for a basic application (e.g., a static website) and deploy it to a container platform like Docker Swarm or Kubernetes.

➡️ Set Up a CI/CD Pipeline: Create a continuous integration and continuous delivery pipeline using tools like Jenkins, GitLab CI/CD, or GitHub Actions. Automate code testing, building, and deployment.

➡️ Infrastructure as Code (IaC): Use Terraform or Ansible to provision cloud infrastructure (e.g., EC2 instances, S3 buckets) declaratively.

➡️ Deploy a Microservices Architecture: Break down a larger application into smaller, independent microservices and deploy them using container orchestration tools like Kubernetes.

➡️ Implement Configuration Management: Use tools like Ansible or Puppet to manage configuration files and ensure consistency across different environments.

🟢 Intermediate-Level Projects:
➡️ Build a Monitoring and Alerting System: Create a system to monitor application performance, infrastructure health, and log data. Set up alerts for critical issues.

➡️ Integrate DevOps Tools: Connect various DevOps tools (e.g., Git, Jenkins, Docker, Kubernetes) to create a cohesive workflow.

➡️ Automate Security Testing: Implement automated security testing tools like OWASP ZAP or Burp Suite to identify vulnerabilities in your applications.

➡️ Migrate to the Cloud: Migrate an existing application or infrastructure to a cloud platform (e.g., AWS, Azure, GCP) and optimize it for cloud-native architecture.

➡️ Implement DevOps Best Practices: Adopt DevOps principles like continuous improvement, collaboration, and automation to enhance your team's efficiency.

🟢 Advanced Projects:
➡️ Build a Serverless Application: Create a serverless application using AWS Lambda or Google Cloud Functions to handle events and requests without managing servers.

➡️ Implement Chaos Engineering: Conduct experiments to test the resilience of your systems by introducing controlled failures.

➡️ Develop Custom DevOps Tools: Create custom scripts or tools to automate specific tasks or streamline your DevOps processes.

➡️ Contribute to Open-Source DevOps Projects: Contribute to popular open-source DevOps projects like Kubernetes, Docker, or Ansible to gain exposure to real-world code and community.

➡️ Build a DevOps Platform: Develop a comprehensive DevOps platform that integrates various tools and provides a unified interface for managing your infrastructure and applications.

🟢 Additional Resources:
GeeksforGeeks: https://www.geeksforgeeks.org/devops-projects/
DevOpsCube: https://devopscube.com/devops-projects/
GitHub: https://github.com/NotHarshhaa/DevOps-Projects

By working on these projects, you'll gain practical experience with essential DevOps tools and technologies, and develop the skills needed to succeed in a DevOps role.

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

🔥 New DevOps Guide: Serverless CI/CD - How to Build a Pipeline Without Servers 🔥


🖥 Read the full article here: Serverless CI/CD: How to Build a Pipeline Without Servers

📢 Tired of managing servers for your CI/CD pipelines? Ready to level up your DevOps skills with serverless technology? Check out my latest article where I dive deep into building a serverless CI/CD pipeline from scratch! Learn how to automate your entire pipeline without worrying about infrastructure.

🔍 What’s Inside?
✅ Why Serverless is a Game-Changer for CI/CD
✅ Step-by-Step Guide to Creating a Pipeline Using AWS Lambda, Fargate, and CodeBuild
✅ Detailed architecture, tools, and best practices for setting up a cost-efficient, scalable pipeline
✅ Overcoming challenges like cold starts and monitoring costs
✅ Tools like GitHub Actions, CircleCI, and Azure DevOps to integrate serverless CI/CD workflows

💡 This is a must-read for every DevOps engineer looking to streamline their workflow and embrace the power of serverless technology. Don't miss out!

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

𝐓𝐨𝐩 𝐔𝐬𝐞𝐝 𝐃𝐨𝐜𝐤𝐞𝐫 𝐂𝐨𝐦𝐦𝐚𝐧𝐝𝐬 🐋


🐳 𝐃𝐨𝐜𝐤𝐞𝐫 𝐁𝐚𝐬𝐢𝐜𝐬:
• 🏁 docker run: Run a container from an image.
• 📦 docker build: Build an image from a Dockerfile.
• 🔍 docker images: List all images on the system.
• 🗑 docker rmi: Remove one or more images.
• 🏗 docker-compose up: Start services defined in a Compose file.
• 🛑 docker stop: Stop a running container.
• ♻️ docker rm: Remove one or more containers.
• 💡 docker ps: List running containers.

🐋 𝐃𝐨𝐜𝐤𝐞𝐫 𝐍𝐞𝐭𝐰𝐨𝐫𝐤𝐢𝐧𝐠:
• 🌐 docker network create: Create a network.
• 🔗 docker network connect: Connect a container to a network.
• 🛠 docker network inspect: Inspect a network.
• 🔄 docker network disconnect: Disconnect a container from a network.

📁 𝐃𝐨𝐜𝐤𝐞𝐫 𝐕𝐨𝐥𝐮𝐦𝐞𝐬:
• 📂 docker volume create: Create a volume.
• 🔌 docker volume ls: List volumes.
• 🔄 docker volume inspect: Inspect a volume.
• 🗑 docker volume rm: Remove one or more volumes.

⚙️ 𝐃𝐨𝐜𝐤𝐞𝐫 𝐂𝐨𝐦𝐩𝐨𝐬𝐞:
• 📋 docker-compose up: Start services defined in a Compose file.
• 🗄 docker-compose down: Stop and remove services defined in a Compose file.
• 🔧 docker-compose build: Build or rebuild services.
• 📊 docker-compose logs: View output logs from services.
• 🔄 docker-compose restart: Restart services.
• 📈 docker-compose scale: Scale services to a specified number.


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

💘 70 Important DevOps interview questions:

💘 General DevOps Concepts
1. What is DevOps and why is it important?
2. Explain the difference between DevOps and Agile.
3. What are the key benefits of implementing DevOps?
4. What are the main components of a DevOps pipeline?
5. What is the role of CI/CD in DevOps?
6. How do you approach infrastructure as code (IaC)?
7. What are some common DevOps tools and their uses?
8. Explain the concept of "Shift Left" in DevOps.
9. What is the difference between CI & CD?
10. How do you handle version control in a DevOps environment?

💘 CI/CD Pipelines
11. What is a CI/CD pipeline?
12. How do you implement a CI/CD pipeline from scratch?
13. What are the common stages of a CI/CD pipeline?
14. How do you manage secrets in a CI/CD pipeline?
15. Explain the importance of automated testing in CI/CD.
16. How do you ensure that deployments are zero-downtime?
17. What tools do you use for CI/CD?
18. How do you handle rollbacks in CI/CD?
19. What is the purpose of artifact repositories in CI/CD?
20. How do you manage dependencies in a CI/CD pipeline?

💘 Containerization & Orchestration
21. What is Docker, and how does it work?
22. How do containers differ from virtual machines?
23. Explain the concept of Docker Compose.
24. What is Kubernetes, and why is it used?
25. How do you deploy a Kubernetes cluster?
26. What are Kubernetes Pods, and how do they work?
27. How do you manage Kubernetes secrets?
28. What are Kubernetes Ingress and Services?
29. How do you monitor and scale a Kubernetes cluster?
30. Explain the concept of service mesh in Kubernetes.

💘 Cloud Platforms
31. What is the difference between IaaS, PaaS, and SaaS?
32. Explain the concept of cloud formation and infrastructure as code.
33. How do you implement high availability in AWS?
34. What are the benefits of using cloud-native tools?
35. How do you manage cost optimization in cloud platforms?
36. Explain the concept of auto-scaling in AWS.
37. How do you secure a cloud environment?
38. What is the importance of tagging resources in the cloud?
39. How do you handle disaster recovery in the cloud?
40. What are the different storage options available in AWS?

💘 Monitoring & Logging
41. What is the importance of monitoring in a DevOps environment?
42. How do you set up monitoring for your applications?
43. What tools do you use for monitoring and logging?
44. Explain the concept of observability.
45. How do you handle log aggregation and analysis?
46. What is the difference between metrics and logs?
47. How do you monitor the performance of a microservices architecture?
48. What is the role of alerting in monitoring?
49. How do you ensure the security of monitoring data?
50. What is the importance of tracing in a distributed system?

💘 Infrastructure as Code (IaC)
51. What is Infrastructure as Code (IaC)?
52. How do you implement IaC in your environment?
53. What tools do you use for IaC?
54. Explain the concept of immutable infrastructure.
55. How do you handle configuration management in IaC?
56. What are the challenges of implementing IaC?
57. How do you version control infrastructure code?
58. What is the importance of idempotency in IaC?
59. How do you test and validate IaC scripts?
60. How do you handle secrets management in IaC?

💘 Automation & Scripting
61. Why is automation important in DevOps?
62. How do you approach task automation in your projects?
63. What scripting languages do you use for automation?
64. How do you automate server provisioning and configuration?
65. What is the role of Ansible in automation?
66. How do you handle automation in a multi-cloud environment?
67. What are the benefits of using Terraform for automation?
68. How do you ensure the security of automation scripts?
69. How do you handle errors in automated workflows?
70. What is the importance of idempotency in automation?


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

📣 Helm Commands for DevOps Engineers 🚀


Helm is a powerful package manager for Kubernetes, making it easier to deploy and manage applications. Here’s a comprehensive list of Helm commands you should know:

1. Helm Installation 🔧

   helm install <release_name> <chart>

Install a Helm chart.

2. Helm Upgrade ⬆️

   helm upgrade <release_name> <chart>

Upgrade a release to a new version of the chart.

3. Helm Rollback ⏪

   helm rollback <release_name> <revision_number>

Rollback a release to a previous revision.

4. Helm Uninstall ❌

   helm uninstall <release_name>

Uninstall a Helm release.

5. Helm Repo Add ➕

   helm repo add <repo_name> <repo_url>

Add a new Helm repository.

6. Helm Repo Update 🔄

   helm repo update

Update the Helm repository information.

7. Helm List 📜

   helm list

List all installed Helm releases.

8. Helm Search Repo 🔍

   helm search repo <keyword>

Search for charts in the repositories.

9. Helm Show Values 📋

   helm show values <chart>

Show the default values of a chart.

10. Helm Template 📝

    helm template <release_name> <chart>

Render chart templates locally and display the output.

11. Helm Package 📦

    helm package <chart_path>
    

Package a chart into a versioned chart archive file.

12. Helm Lint 🧹

    helm lint <chart_path>

Run a series of tests to verify the chart is well-formed.

13. Helm Dependency Update 🔗

    helm dependency update <chart_path>

Update dependencies for a chart.

14. Helm Get All 📄

    helm get all <release_name>

Get all information about a release.

15. Helm History 📚

    helm history <release_name>

Fetch release history.

16. Helm Test 🧪

    helm test <release_name>

Run tests for a release.

Stay efficient and streamline your Kubernetes deployments with these Helm commands!

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

📣 The machine learning (ML) lifecycle can seem complex and intimidating, but it's essentially a journey from asking a business question to getting a model into production and delivering real-world value.

Today, we'll break down this journey into 5 key stages:

𝟭. 𝗕𝘂𝘀𝗶𝗻𝗲𝘀𝘀 𝗨𝗻𝗱𝗲𝗿𝘀𝘁𝗮𝗻𝗱𝗶𝗻𝗴 & 𝗗𝗮𝘁𝗮 𝗔𝗰𝗾𝘂𝗶𝘀𝗶𝘁𝗶𝗼𝗻:
➡️Business Question: It all starts with a clear business question that ML can help answer. What problem are you trying to solve, or what opportunity are you trying to seize?

➡️Data Acquisition: Once you have a question, you need the data to answer it. This involves identifying, collecting, and cleaning relevant data sources.

𝟮. 𝗗𝗮𝘁𝗮 𝗣𝗿𝗲𝗽𝗮𝗿𝗮𝘁𝗶𝗼𝗻 & 𝗙𝗲𝗮𝘁𝘂𝗿𝗲 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴:
➡️Data Preparation: Raw data is rarely ready for ML models. This stage involves cleaning, transforming, and formatting the data to make it usable.

➡️Feature Engineering: Extracting meaningful features from the data is crucial for model performance. This may involve creating new features, combining existing ones, or using feature selection techniques.

𝟯. 𝗠𝗼𝗱𝗲𝗹 𝗧𝗿𝗮𝗶𝗻𝗶𝗻𝗴 & 𝗘𝘅𝗽𝗲𝗿𝗶𝗺𝗲𝗻𝘁𝗮𝘁𝗶𝗼𝗻:
➡️Model Training: Here's where the magic happens! You choose an ML algorithm and train it on your prepared data. This involves iterating on different models and hyperparameters to find the best fit.

➡️Model Evaluation: Don't fall in love with your first model! Rigorously evaluate its performance using relevant metrics and compare it to other models or baselines.

𝟰. 𝗗𝗲𝗽𝗹𝗼𝘆𝗺𝗲𝗻𝘁 & 𝗠𝗼𝗻𝗶𝘁𝗼𝗿𝗶𝗻𝗴:
➡️Deployment: Once you have a winning model, it's time to put it to work! This involves deploying the model to a production environment where it can make real-time predictions.

➡️Monitoring: Even in production, models need monitoring. Track the model's performance, identify and address any issues, and ensure it's delivering value.

𝟱. 𝗙𝗲𝗲𝗱𝗯𝗮𝗰𝗸 𝗟𝗼𝗼𝗽 & 𝗖𝗼𝗻𝘁𝗶𝗻𝘂𝗼𝘂𝘀 𝗜𝗺𝗽𝗿𝗼𝘃𝗲𝗺𝗲𝗻𝘁:
➡️Feedback Loop: The ML lifecycle is not linear. Continuously gather feedback from the business and stakeholders, use it to improve the model's performance, and re-evaluate the business question.

➡️Continuous Improvement: Machine learning is an iterative process. As new data becomes available and business needs evolve, be ready to adapt and improve your models.

📌 𝗥𝗲𝗺𝗲𝗺𝗯𝗲𝗿, 𝘁𝗵𝗲 𝗠𝗟 𝗹𝗶𝗳𝗲𝗰𝘆𝗰𝗹𝗲 𝗶𝘀 𝗮 𝗰𝗼𝗹𝗹𝗮𝗯𝗼𝗿𝗮𝘁𝗶𝘃𝗲 𝗲𝗳𝗳𝗼𝗿𝘁.

Data scientists, engineers, business stakeholders, and domain experts all play crucial roles in bringing successful ML projects to life.
By following these stages and fostering a collaborative culture, you can unlock the true potential of ML and turn your business questions into real-world impact.


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

➡️ What is DevOps and what DevOps engineer do? ❓


➡️ DevOps is a set of practices, cultural philosophies, and tools that aim to improve collaboration, communication, and integration between software development (Dev) and IT operations (Ops) teams.

✅ The goal of DevOps is to enable Organization to deliver high-quality software products and services more rapidly, reliably, and efficiently.

➡️ DevOps engineers play a critical role in enabling organizations to embrace DevOps culture and practices, driving agility, innovation, and efficiency in software development and delivery.

🌟 DevOps engineer gaining expertise in tools and technologies related to DevOps practices, such as version control systems, continuous integration/continuous deployment (CI/CD) pipelines, containerization, and cloud computing platforms, is essential for a successful career in DevOps engineering.


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

🆕 ♾ DevOps Project Coming 🔜

🚀 DevSecOps Project: "Secure Full-Stack Node.js Web Application Deployment with Jenkins, Docker, Kubernetes, and HashiCorp Vault" 🚀

Check out DevSecOps Project: "Secure Full-Stack Node.js Deployment with Jenkins, Docker, Kubernetes, and HashiCorp Vault"! 🎉

🖥 Read it here: DevSecOps Project Article

⏩ Highlights:
- Set up Kubernetes on AWS EKS
- Containerize and deploy a Node.js app
- Automate CI/CD with Jenkins
- Secure secrets with HashiCorp Vault
- Implement Kubernetes security best practices

Perfect for those looking to master DevSecOps with hands-on examples and best practices. 💡

🔔 Like, share, and comment if you find it helpful!


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

☄️ Project-08: Kubernetes End to End Project on EKS (Amazon Kubernetes Service)🎤


⏩ Project Link: https://github.com/NotHarshhaa/DevOps-Projects/tree/master/DevOps-Project-08

✅ Project Description:

A Kubernetes End-to-End (E2E) project for deploying a 2048 game app on Amazon Elastic Kubernetes Service (EKS) involves setting up, deploying, and managing the popular 2048 game application on a Kubernetes cluster running on AWS EKS. This project aims to demonstrate how to containerize a web application, deploy it on EKS, manage the cluster, and expose the application to users.

🌐 Follow me on GitHub: https://www.github.com/NotHarshhaa


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

☁️ AWS Cloud All End-to-End Content 2024 ⚡️


➡️ This Includes:
- All AWS Content
- AWS Realtime scenarios
- All AWS Exercises with solutions
- No More AWS PDFs needed
- Easy to Learn from anywhere
- Detailed Explanation guide
- All AWS services for DevOps Engineer

🖥 Link : https://github.com/NotHarshhaa/into-the-devops/tree/master/topics/aws

📱 Follow me on GitHub : https://www.github.com/NotHarshhaa


📱 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!!!

🌍 Terraform All End-to-End Content 2024 ⚡️


➡️ This Includes:
- Comprehensive Terraform Content
- Real-world Infrastructure Automation Scenarios
- Complete Terraform Exercises with Solutions
- No Need for Terraform PDFs Anymore
- Learn Terraform Anytime, Anywhere
- Detailed Explanations & Step-by-Step Guides
- All Terraform Modules and Workflows for DevOps Engineers

🖥 Link : https://github.com/NotHarshhaa/into-the-devops/tree/master/topics/terraform

📱 Follow me on GitHub : https://www.github.com/NotHarshhaa


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

⭐️ 𝗞𝘂𝗯𝗲𝗿𝗻𝗲𝘁𝗲𝘀 𝙩𝙞𝙥 𝙛𝙤𝙧 𝙩𝙤𝙙𝙖𝙮

💬𝐊𝐮𝐛𝐞𝐫𝐧𝐞𝐭𝐞𝐬 𝐜𝐨𝐫𝐝𝐨𝐧 𝐕𝐒 𝐊𝐮𝐛𝐞𝐫𝐧𝐞𝐭𝐞𝐬 𝐝𝐫𝐚𝐢𝐧

Both commands aim to upgrade your Kubernetes cluster and node groups with almost zero downtime.

⚠️But what is the difference between both of them:

➡️𝗖𝗼𝗿𝗱𝗼𝗻:
The cordon command is used to inform the cluster not to schedule any new pod on the nodes, and other/existing pods should be running without downtime or disruption.

➡️𝗗𝗿𝗮𝗶𝗻:
The drain command is used to evict all the pods from the particular node group and stop pods from scheduling on the nodes. Drain command is majorly used for the maintenance of the particular node groups.


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

🌟 Azure DevOps: Zero to Hero Series 🌟

Hey everyone! 🚀 Ready to elevate your DevOps skills? Check out our comprehensive "Azure DevOps Zero to Hero" series on Dev.to! This series covers everything you need to know about Azure DevOps, from the basics to advanced concepts, with hands-on demos and real-world projects.

🖥 Read the full series here: Azure DevOps Zero to Hero Series

➡️What You'll Learn:

1. Introduction to Azure DevOps
- Understanding DevOps and its importance
- Overview of Azure DevOps services
- Setting up your Azure DevOps environment

2. Azure Boards and Agile Project Management
- Managing work items with Azure Boards
- Implementing Agile, Scrum, and Kanban processes
- Customizing dashboards and queries

3. Mastering Git and Source Control
- Introduction to Git and Azure Repos
- Branching, merging, and pull requests
- Managing repositories and code reviews

4. Build and Release Pipelines
- Creating and configuring build pipelines
- Continuous Integration (CI) and Continuous Deployment (CD)
- Using Azure Pipelines for automated deployments

5. Azure Artifacts and Test Plans
- Managing packages with Azure Artifacts
- Setting up and running test plans
- Ensuring code quality and compliance

➡️Why Follow This Series?

- Hands-On Demos: Each article includes practical demos to help you apply what you learn.
- Real-World Projects: Work on real projects to gain practical experience.
- Community Support: Join our community discussions and collaborate with fellow learners.

Don't miss out on this opportunity to become an Azure DevOps expert! Whether you're a beginner or looking to enhance your skills, this series has something for everyone.

🔴 Note: Ignore the banner typo issue


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