➡️ 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

🚀 DevOps Project - 28 🚀


🔗 Project Link: HERE

🔐 DevSecOps: Open AI Chatbot UI Deployment in EKS with Jenkins and Terraform 🤖

In this project, we take you through the full process of deploying an Open AI Chatbot UI on Amazon EKS, leveraging Jenkins for CI/CD and Terraform for infrastructure automation. 🌐🚀

📌 What's inside?
- Kubernetes-based Chatbot UI deployment on EKS
- Terraform scripts for scalable infrastructure
- Jenkins pipelines for automated builds and deployments
- Security and best practices with DevSecOps mindset

💻 Ready to dive in? Check out the code and start building your own secure, scalable Chatbot UI deployment!

❤️‍🔥 Share with friends and learning aspirants ❤️‍🔥

📣 Note: Fork this Repository 🧑‍💻 for upcoming future projects, Every week releases new Project.

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

🚀 𝗗𝗲𝘃𝗢𝗽𝘀 𝗥𝗲𝘀𝘂𝗺𝗲: 𝗔 𝗖𝗼𝗺𝗽𝗿𝗲𝗵𝗲𝗻𝘀𝗶𝘃𝗲 𝗚𝘂𝗶𝗱𝗲 🚀

Hello #devops People 👋 Ready to level up your DevOps game? Let's dive into crafting a resume that stands out in the digital crowd! 🌟

𝟭. 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀 & 𝗕𝗮𝗱𝗴𝗲𝘀 𝗦𝗵𝗼𝘄𝗰𝗮𝘀𝗲 🛡
Give your resume a visual boost with badges for certifications! 🏆 Highlight your expertise in AWS, Azure, Docker, Kubernetes, and more. 🚢 Show that you're not just talking the talk, but you've walked the walk!

𝟮. 𝗧𝗼𝗼𝗹𝘀 & 𝗧𝗲𝗰𝗵𝗻𝗼𝗹𝗼𝗴𝗶𝗲𝘀 𝗩𝗶𝘀𝗶𝗯𝗶𝗹𝗶𝘁𝘆 🔍
Don't be shy about your tech stack! ⚙️ Ensure tools like Jenkins, Ansible, Terraform, and Git are prominent. 🔧 Make it easy for recruiters to spot your proficiency at first glance.

𝟯. 𝗪𝗼𝗿𝗸 𝗘𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲 𝗛𝗶𝗴𝗵𝗹𝗶𝗴𝗵𝘁𝘀 🛠
In the Work Experience section, be crystal clear about your impact! 🚀 If you're a DevOps Engineer, don't just say it – show it! Mention daily tasks like infrastructure automation, CI/CD pipeline management, and system monitoring.

𝟰. 𝗣𝗿𝗼𝗷𝗲𝗰𝘁 𝗦𝗵𝗼𝘄𝗰𝗮𝘀𝗲 🌐
Bring your projects into the limelight! 🌟 Format it like this:
Project: Automatic Deployments
Organization: XYZ Corp
Tools & Tech Used: Jenkins, Docker, Kubernetes
Role: DevOps Engineer
Responsibilities: Automated deployment processes, ensuring zero downtime
Tasks: Streamlined CI/CD pipelines, implemented containerization

𝟱. 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀 & 𝗔𝘄𝗮𝗿𝗱𝘀 𝗦𝗲𝗰𝘁𝗶𝗼𝗻 🎓
Create a dedicated space for certifications and awards! 🏅 Showcase your dedication and accomplishments separately. This not only looks organized but highlights your commitment to continuous improvement.

𝟲. 𝗤𝘂𝗮𝗹𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀 𝗦𝗻𝗮𝗽𝘀𝗵𝗼𝘁 📊
Summarize your qualifications for a quick overview! 📈 Whether it's a degree in Computer Science or a specialized DevOps certification, make it easily digestible.


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

🐧 The Linux file system isn't just a bunch of folders - it's the organizational bedrock of your entire system.

Mastering it can take your tech career to the next level. Here's why:
⏩ 𝗞𝗲𝘆 𝗗𝗶𝗿𝗲𝗰𝘁𝗼𝗿𝗶𝗲𝘀 & 𝗧𝗵𝗲𝗶𝗿 𝗥𝗼𝗹𝗲𝘀:
➡️ Root (/): The central hub, connecting everything.
➡️ Bin & Sbin: Essential tools for basic system operation and advanced tasks.
➡️ Etc: Configuration files that make your system tick.
➡️ Home: Your personal storage space for files and documents.
➡️ Var: Holds dynamic data like logs and emails, constantly changing.
➡️ Usr: A vast library of applications, libraries, and data used by the system.
➡️ Lib & Opt: Support files for other programs and optional software.
➡️ Tmp: Temporary storage for the system's ongoing work.
➡️ Boot & Dev: Responsible for booting the system and interacting with hardware.
➡️ Proc & Root: Special directories for system information and the root user.
➡️ Run & Srv: Temporary files for running processes and data for system services.
➡️ Sys & Mnt: Virtual system info and mount points for external storage.
➡️ Media: Where removable media like CDs and cameras connect.

⏩ 𝗪𝗵𝘆 𝗦𝗵𝗼𝘂𝗹𝗱 𝗬𝗼𝘂 𝗖𝗮𝗿𝗲?
Linux powers countless technologies, and familiarity with its file system gives you an edge in various tech fields:
✔️ Software Engineering: Navigating codebases and system files with ease.
✔️ DevOps: Automating tasks and managing infrastructure efficiently.
✔️ Data Engineering: Working with data stored on Linux systems.
✔️ AI: Understanding where data and resources are located.
✔️ System Administration: Maintaining and troubleshooting Linux systems like a pro.

⏩ 𝗞𝗻𝗼𝘄𝗶𝗻𝗴 𝘁𝗵𝗲 𝗳𝗶𝗹𝗲 𝘀𝘆𝘀𝘁𝗲𝗺:
🔶 Saves you time by finding files quickly.
🔶 Empowers you to troubleshoot issues effectively.
🔶 Makes you a valuable asset to any team.

⏩ 𝗚𝗼 𝗕𝗲𝘆𝗼𝗻𝗱 𝘁𝗵𝗲 𝗕𝗮𝘀𝗶𝗰𝘀:
This is just a starting point. Dive deeper, explore each directory, and unlock your tech potential. Share your questions in the comments, and let's learn together!


✉️ 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy & @devopsdocs 𝗳𝗼𝗿 𝗺𝗼𝗿𝗲 𝘀𝘂𝗰𝗵 𝗰𝗼𝗻𝘁𝗲𝗻𝘁 𝗮𝗿𝗼𝘂𝗻𝗱 𝗰𝗹𝗼𝘂𝗱 & 𝗗𝗲𝘃𝗢𝗽𝘀

📌 Who said Kubernetes is simple. 😂

➡️ Before you dream of Kubernetes auto pilot, you should have this covered:

🔣 CI/CD pipelines? Done
🔣 Per app IAM roles? Done
🔣 Pod security policies? Done
🔣 Load balancing rules? Done
🔣 Secrets management? Done
🔣 Cluster health checks? Done
🔣 CRDs for extensibility? Done
🔣 Disaster recovery plans? Done
🔣 High availability setups? Done
🔣 Role-based access control? Done
🔣 Multi-tenancy architectures? Done
🔣 Proactive capacity planning? Done
🔣 Persistent storage solutions? Done
🔣 Cost management strategies? Done
🔣 Service mesh implementation? Done
🔣 Network wide service discovery? Done
🔣 Apps Dependency management? Done
🔣 Container vulnerability scanning? Done
🔣 Per app network security policies? Done
🔣 Resource monitoring and logging? Done
🔣 Zero downtime Update strategies? Done
🔣 Machine pool isolation for services? Done
🔣 Compliance and governance checks? Done
🔣 Pod communication network policies? Done
🔣 Deployment versioning and rollbacks? Done
🔣 Fleet-wide config updates in real-time? Done
🔣 Path-based HTTP routing within cluster? Done
🔣 Efficient resources labeling and tagging? Done
🔣 Economical deployment on spot instances? Done
🔣 Auto-scaling based on performance metrics? Done

Otherwise, you risk falling into a pattern of reactive responses, never fully seizing the initiative.

It's like starring in your own tech horror show. 😅


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

⚡️ 𝐂𝐨𝐦𝐩𝐨𝐧𝐞𝐧𝐭𝐬 𝐨𝐟 𝐌𝐢𝐜𝐫𝐨𝐬𝐞𝐫𝐯𝐢𝐜𝐞𝐬 𝐀𝐫𝐜𝐡𝐢𝐭𝐞𝐜𝐭𝐮𝐫𝐞 ⚡️

Microservices architecture breaks down applications into smaller, independent services. Here's a rundown of the 𝟏𝟎 𝐤𝐞𝐲 𝐜𝐨𝐦𝐩𝐨𝐧𝐞𝐧𝐭𝐬 in this architecture:

1. 𝐂𝐥𝐢𝐞𝐧𝐭
These are the end-users who interact with the application via different interfaces like web, mobile, or PC.

2. 𝐂𝐃𝐍 (Content Delivery Network)
CDNs deliver static content like images, stylesheets, and JavaScript files efficiently by caching them closer to the user's location, reducing load times.

3. 𝐋𝐨𝐚𝐝 𝐁𝐚𝐥𝐚𝐧𝐜𝐞𝐫
It distributes incoming network traffic across multiple servers, ensuring no single server becomes a bottleneck and improving the application's availability and reliability.

4. 𝐀𝐏𝐈 𝐆𝐚𝐭𝐞𝐰𝐚𝐲
An API Gateway acts as an entry point for all clients, handling tasks like request routing, composition, and protocol translation, which helps manage multiple microservices behind the scenes.

5. 𝐌𝐢𝐜𝐫𝐨𝐬𝐞𝐫𝐯𝐢𝐜𝐞𝐬
Each microservice is a small, independent service that performs a specific business function. They communicate with each other via APIs.

6. 𝐌𝐞𝐬𝐬𝐚𝐠𝐞 𝐁𝐫𝐨𝐤𝐞𝐫
A message broker facilitates communication between microservices by sending messages between them, ensuring they remain decoupled and can function independently.

7. 𝐃𝐚𝐭𝐚𝐛𝐚𝐬𝐞𝐬
Each microservice typically has its own database to ensure loose coupling. This can involve different databases for different microservices

8. 𝐈𝐝𝐞𝐧𝐭𝐢𝐭𝐲 𝐏𝐫𝐨𝐯𝐢𝐝𝐞𝐫
This component handles user authentication and authorization, ensuring secure access to services.

9. 𝐒𝐞𝐫𝐯𝐢𝐜𝐞 𝐑𝐞𝐠𝐢𝐬𝐭𝐫𝐲 𝐚𝐧𝐝 𝐃𝐢𝐬𝐜𝐨𝐯𝐞𝐫𝐲
This system keeps track of all microservices and their instances, allowing services to find and communicate with each other dynamically.

10. 𝐒𝐞𝐫𝐯𝐢𝐜𝐞 𝐂𝐨𝐨𝐫𝐝𝐢𝐧𝐚𝐭𝐢𝐨𝐧 (e.g., Zookeeper)
Tools like Zookeeper help manage and coordinate distributed services, ensuring they work together smoothly.


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

🚀 New Article Alert! 🚀

👨‍💻 A Day in the Life of a DevOps Engineer: Real Stories and Challenges


📖 Check it out here: A Day in the Life of a DevOps Engineer

Ever wondered what it's like to be a DevOps engineer? It's a fast-paced, problem-solving, and highly dynamic role that comes with its fair share of challenges—and funny moments too! 😅

In this article, we dive deep into what a typical day looks like, from handling pipeline issues to collaborating with developers and dealing with unexpected incidents. Whether you’re new to DevOps or a seasoned pro, this is one story you won’t want to miss!

✨ Read Now to discover:
🔧 Real-life challenges
💻 Problem-solving strategies
⚡️ Funny incidents that every DevOps engineer will relate to!

👉 Don’t forget to share your own DevOps experiences in the comments!

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

🔔 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