📢 Advanced AWS DevOps Project: Dive into a comprehensive guide on setting up an Automated CI/CD Pipeline with Infrastructure as Code, Microservices, Service Mesh, and Monitoring.

🌟 Whether you're an AWS engineer or a DevOps enthusiast, this step-by-step tutorial will equip you with the knowledge to build scalable, secure, and robust cloud-native applications.

🔍 What's Inside:
- Terraform for Infrastructure as Code
- Jenkins CI/CD Pipelines
- Dockerizing Microservices
- Istio for Traffic Management
- Prometheus & Grafana for Monitoring

➡️ Read the full article now: AWS DevOps Project: Advanced Automated CI/CD Pipeline


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

🖥 https://telegra.ph/Docker-Security-Best-Practices-cheat-sheet-included-08-31


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

⛈ Free DevOps Courses


⚡️ Introduction to DevOps : https://lnkd.in/eewbW8xF

⚡️ IBM Applied DevOps Engineering : https://lnkd.in/erfsfEzm

⚡️ Python Scripting for DevOps Specialization : https://lnkd.in/ejaHRK8q

⚡️ Continuous Delivery & DevOps : https://lnkd.in/eBuU9Gb6

⚡️ Introduction to DevOps (Great Learning) : https://lnkd.in/e4h_vt8B

⚡️ Getting Started with DevOps on AWS : https://lnkd.in/ejchJqDN

⚡️ Introduction to DevOps (Codeacademy) : https://lnkd.in/ek-bXi8r

⚡️ DevOps - For Beginners : https://lnkd.in/ecUVWb36

⚡️ DevOps 101: What is DevOps? : https://lnkd.in/ezPfGTkU

⚡️ Bonus: Live Workshop - https://brij.guru/ai


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

🌐 REPO LINK: https://github.com/NotHarshhaa/kubernetes-projects-learning

𝘼 𝙧𝙚𝙥𝙤 𝙩𝙤 𝙝𝙚𝙡𝙥 𝙮𝙤𝙪 𝙋𝙧𝙖𝙘𝙩𝙞𝙨𝙚 𝙆𝙪𝙗𝙚𝙧𝙣𝙚𝙩𝙚𝙨 𝙛𝙧𝙤𝙢 𝙩𝙝𝙚 𝙜𝙧𝙤𝙪𝙣𝙙 𝙪𝙥 𝙗𝙮 𝙙𝙤𝙞𝙣𝙜 𝙥𝙧𝙖𝙘𝙩𝙞𝙘𝙖𝙡 𝙍𝙚𝙖𝙡𝙩𝙞𝙢𝙚 𝙥𝙧𝙤𝙟𝙚𝙘𝙩𝙨 𝙖𝙣𝙙 𝙩𝙚𝙖𝙘𝙝 𝙮𝙤𝙪 𝙝𝙤𝙬 𝙩𝙤 𝙪𝙨𝙚 𝙆𝙪𝙗𝙚𝙧𝙣𝙚𝙩𝙚𝙨 𝙩𝙤 𝙙𝙚𝙥𝙡𝙤𝙮, 𝙢𝙖𝙣𝙖𝙜𝙚, 𝙖𝙣𝙙 𝙨𝙘𝙖𝙡𝙚 𝙘𝙤𝙣𝙩𝙖𝙞𝙣𝙚𝙧𝙞𝙯𝙚𝙙 𝙖𝙥𝙥𝙡𝙞𝙘𝙖𝙩𝙞𝙤𝙣𝙨.

🌐 FORK THE REPO GUYS, SHARE WITH OTHERS 🙂

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

🤔 Learn Kubernetes from scratch (Beginner to Advanced level) 2024 🤔

🔗 Link: https://github.com/NotHarshhaa/kubernetes-learning-path

🪑 NOTE: The Kubernetes Learning Roadmap is constantly updated with new content.

⏩ Table of Contents ⏪
1. Kubernetes Learning Roadmap
2. Kubernetes Certification Coupon
3. Kubernetes Learning Prerequisites
4. Learn Kubernetes Architecture
5. $1000+ Free Cloud Credits to Launch Clusters
6. Learn Kubernetes Cluster Setup & Administration
7. Understand KubeConfig File
8. Understand Kubernetes Objects And Resources
9. Learn About Pod & Associated Resources
10. Learn About Pod Dependent Objects
11. Deploy End to End Application on Kubernetes
12. Learn About Securing Kubernetes Cluster
13. Learn About Kubernetes Operator Pattern
14. Learn Important Kubernetes Configurations
15. Learn Kubernetes Best Practices
16. Real-World Kubernetes Case Studies
17. Kubernetes Failures/Learnings
18. Kubernetes Deployment Tools (GitOps Based)


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

🛠 Essential AWS CLI Commands for DevOps Engineers 🛠


📌 Setup and Configuration:

# Install AWS CLI
pip install awscli

# Configure AWS CLI
aws configure

📌 IAM:

# List IAM users
aws iam list-users

# Create IAM user
aws iam create-user --user-name <username>

# Attach policy to IAM user
aws iam attach-user-policy --user-name <username> --policy-arn arn:aws:iam::aws:policy/<policy-name>

📌 EC2:

# List all EC2 instances
aws ec2 describe-instances

# Start an EC2 instance
aws ec2 start-instances --instance-ids <instance-id>

# Stop an EC2 instance
aws ec2 stop-instances --instance-ids <instance-id>

📌 S3:

# List all S3 buckets
aws s3 ls

# Upload file to S3 bucket
aws s3 cp <file-path> s3://<bucket-name>/<file-key>

# Download file from S3 bucket
aws s3 cp s3://<bucket-name>/<file-key> <file-path>

📌 RDS:

# List RDS instances
aws rds describe-db-instances

# Start RDS instance
aws rds start-db-instance --db-instance-identifier <instance-id>

# Stop RDS instance
aws rds stop-db-instance --db-instance-identifier <instance-id>

📌 CloudWatch:

# List CloudWatch log groups
aws logs describe-log-groups

# Create CloudWatch log group
aws logs create-log-group --log-group-name <log-group-name>

📌 Elastic Beanstalk:

# List Elastic Beanstalk environments
aws elasticbeanstalk describe-environments

# Update environment to new version
aws elasticbeanstalk update-environment --environment-name <env-name> --version-label <version-label>

📌 CloudFormation:

# List CloudFormation stacks
aws cloudformation describe-stacks

# Create CloudFormation stack
aws cloudformation create-stack --stack-name <stack-name> --template-body file://<template-file>

# Update CloudFormation stack
aws cloudformation update-stack --stack-name <stack-name> --template-body file://<template-file>

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

1️⃣. Tutorials

✅ Terraform Course – Automate your AWS cloud infrastructure

https://lnkd.in/dvpzNT5M

✅ HashiCorp Terraform Associate Certification Course by Andrew Brown

https://lnkd.in/dn5m2NKQ

✅ Terraform for DevOps Beginners + Labs by KodeKloud

https://lnkd.in/d8nkTj3n

✅ Terraform Foundations Course by Derek Morgan

https://lnkd.in/dWYByZjH

✅ HashiCorp Terraform Associate certification exam

https://lnkd.in/dhV35bJG

✅ Learn Terraform (and AWS) by Building a Dev Environment - Full Course for Beginners

https://lnkd.in/dA44F__P

✅ Complete Terraform Course - From BEGINNER to PRO! (Learn Infrastructure as Code)

https://lnkd.in/dRs3YFu3

✅ Azure Terraform Full Course I Microsoft
Azure Terraform Course

https://lnkd.in/dM-h-R8y


2️⃣. Labs

✅ Lab 1.Terraform Introduction | Terraform Tutorial for Beginners | Terraform for DevOps Engineer

https://lnkd.in/dCpQyKNz

✅ Lab 2. How to Use Visual Studio code for Terraform | Creating EC2 Instance using Terraform

https://lnkd.in/dvMC5a2J

✅ Lab 3. [Scenario-1]: How to Create VPC using Terraform | AWS VPC using Terraform | AWS Terraform

https://lnkd.in/dtT3zMzF

✅ Lab 4. AWS NAT Gateway using Terraform | AWS Private Subnet using Terraform | Terraform Tutorial

https://lnkd.in/dqTeZQdc

✅ Lab 5. Terraform Input Variables | How to Use Terraform Input Variables | Terraform Variables

https://lnkd.in/dqsAKSyH

✅ Lab 6. Terraform Output Variables Example | Terraform Output Values | Terraform Outputs

https://lnkd.in/dhkgFexc

✅ Lab 7. Terraform Local Values | How to use Terraform Local Values | Terraform Locals

https://lnkd.in/dHZEW_sy

✅ Lab 8. How to Create EC2 Instance in AWS using Terraform | Create EC2 Instance using Terraform

https://lnkd.in/dKjwzqGT

✅ Lab 9. AWS EC2 Instance,Security Group in AWS Using Terraform | Terraform Create Security Group AWS

https://lnkd.in/dMA-J7GE


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

⚠️ 𝗞𝘂𝗯𝗲𝗿𝗻𝗲𝘁𝗲𝘀 𝗦𝗰𝗮𝗹𝗶𝗻𝗴 𝗦𝘁𝗿𝗮𝘁𝗲𝗴𝗶𝗲𝘀

🌝𝐇𝐨𝐫𝐢𝐳𝐨𝐧𝐭𝐚𝐥 𝐒𝐜𝐚𝐥𝐢𝐧𝐠 (𝐒𝐜𝐚𝐥𝐢𝐧𝐠 𝐎𝐮𝐭):-
Horizontal scaling involves altering the number of pods available to the cluster to suit sudden changes in workload demands. As the scaling technique involves scaling pods instead of resources, it’s commonly a preferred approach to avoid resource deficits.

🌝𝐕𝐞𝐫𝐭𝐢𝐜𝐚𝐥 𝐒𝐜𝐚𝐥𝐢𝐧𝐠 (𝐒𝐜𝐚𝐥𝐢𝐧𝐠 𝐔𝐩):-
Contrary to horizontal scaling, a vertical scaling mechanism involves the dynamic provisioning of attributed resources such as RAM or CPU of cluster nodes to match application requirements. This is essentially achieved by tweaking the pod resource request parameters based on workload consumption metrics.

🌝𝐂𝐥𝐮𝐬𝐭𝐞𝐫/𝐌𝐮𝐥𝐭𝐢𝐝𝐢𝐦𝐞𝐧𝐬𝐢𝐨𝐧𝐚𝐥 𝐒𝐜𝐚𝐥𝐢𝐧𝐠 :-
Cluster scaling involves increasing or reducing the number of nodes in the cluster based on node utilization metrics and the existence of pending pods. The cluster autoscaling object typically interfaces with the chosen cloud provider so that it can request and deallocate nodes seamlessly as needed.

🌝𝐌𝐚𝐧𝐮𝐚𝐥 𝐒𝐜𝐚𝐥𝐢𝐧𝐠 :-
Manual scaling in Kubernetes involves adjusting the number of nodes or resources allocated to a cluster manually. This can be done by adding or removing nodes, adjusting resource requests and limits, and distributing workloads across nodes to optimize performance.

🌝𝐏𝐫𝐞𝐝𝐢𝐜𝐭𝐢𝐯𝐞 𝐒𝐜𝐚𝐥𝐢𝐧𝐠 𝐢𝐧 𝐊𝐮𝐛𝐞𝐫𝐧𝐞𝐭𝐞𝐬 :-
Predictive scaling stands as a transformative approach in the orchestration of cloud-native applications, allowing Kubernetes to not just react to current demands but to anticipate future needs. This forward-looking strategy harnesses the power of data analysis and machine learning to create a more dynamic, efficient, and user-oriented scaling process.


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

❤️‍🔥 The Ultimate Docker 50 commands ❤️‍🔥
_____
docker run - run a container from an image
docker pull - pull an image from a registry
docker push - push an image to a registry
docker build - build an image from a Dockerfile
docker ps - list running containers
docker stop - stop a running container
docker start - start a stopped container
docker restart - restart a container
docker logs - show the logs of a container
docker exec - execute a command inside a running container
docker images - list available images
docker rm - remove a container
docker rmi - remove an image
docker inspect - show information about a container
docker network create - create a network for containers to communicate
docker network connect - connect a container to a network
docker network disconnect - disconnect a container from a network
docker port - show the mapped ports of a container
docker cp - copy files between a container and the host
docker commit - create a new image from a container's changes
docker login - log in to a registry
docker logout - log out of a registry
docker tag - tag an image with a new name
docker export - export the contents of a container as a tar archive
docker import - create a new image from a tar archive
docker save - save an image as a tar archive
docker load - load an image from a tar archive
docker top - show the processes running inside a container
docker stats - show resource usage statistics of containers
docker diff - show the changes made to a container's filesystem
docker events - show the events generated by Docker
docker history - show the history of an image
docker pause - pause a running container
docker unpause - unpause a paused container
docker kill - send a signal to a container to stop it abruptly
docker wait - wait for a container to exit and return its exit code
docker attach - attach to a running container's console
docker buildx - build and push multi-platform images
docker compose - manage multi-container applications with Docker Compose
docker swarm - create and manage a cluster of Docker nodes
docker volume create - create a named volume for persistent data storage
docker volume ls - list available volumes
docker volume rm - remove a named volume
docker system prune - remove all unused objects from Docker
docker system df - show the usage of Docker objects
docker system events - show the events generated by Docker on the system
docker system info - show the system-wide information about Docker
docker system inspect - show detailed information about Docker objects
docker system logs - show the system logs of Docker
docker system version - show the version of Docker installed on the system


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

📣 New to DevOps? 📣

Here are the most widely used tools in the industry along with their official documentation:

➡️ Source Code Management:

1. Git: https://git-scm.com/docs
2. GitHub: https://docs.github.com/en
3. Bitbucket: https://lnkd.in/dA2PcM_w

➡️ Ticketing Tools:

1. Service Now: https://lnkd.in/d69yubJF
2. Jira: https://lnkd.in/dD_WcXFQ
3. Trello: https://trello.com/guide

➡️ Public Clouds:

1. AWS: https://lnkd.in/dMa9XpMa
2. Azure: https://lnkd.in/dBsJtZHy
3. GCP: https://lnkd.in/d3hmN-Jr

➡️ Containerization and Orchestration Tools:

1. Docker: https://docs.docker.com/
2. Kubernetes: https://lnkd.in/dZXfQEqW
3. Mesos: https://lnkd.in/dqzvzJhY

➡️ Deployment Tools:

1. Terraform: https://lnkd.in/dM46h2_D
2. Octopus: https://octopus.com/docs
3. Heroku: https://lnkd.in/dCDuwvcj

➡️ Testing Tools:

1. Selenium: https://lnkd.in/dTnFN8bT
2. Cucumber: https://lnkd.in/dpmD4A9C
3. Postman: https://lnkd.in/d3xERi6c

➡️ Build Tools:

1. Maven: https://lnkd.in/dfgBnrZj
2. Gradle: https://lnkd.in/dv6rQczZ
3. Ant: https://lnkd.in/dQgMsgef

➡️ Pipeline Tools:

1. Jenkins: https://lnkd.in/dPmA6-ff
2. TravisCI: https://lnkd.in/dxxFaK_X
3. Argo CD: https://lnkd.in/dK5eXbYi

➡️ Monitoring Tools:

1. Grafana: https://lnkd.in/dX5anVq9
2. Prometheus: https://lnkd.in/ddxjc9bV


🚀 Follow for more DevOps content, tips and tricks, and Hands-On Project Implementation.


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

🐧 Understanding the Linux Filesystem: An In-Depth Guide for DevOps Engineers

🔍 I’m excited to share my latest comprehensive guide on the Linux Filesystem, a must-read for every DevOps engineer out there. This article breaks down the complexities of the Linux filesystem, providing you with:

🖥 Read the full article here: Understanding the Linux Filesystem: An In-Depth Guide for DevOps Engineers

✅ A thorough understanding of the Filesystem Hierarchy Standard (FHS) and how it organizes your system.
✅ Insights into key filesystem types like Ext4, XFS, and Btrfs, helping you choose the right one for your projects.
✅ An in-depth explanation of inodes, permissions, and ownership, ensuring you can secure and manage files effectively.
✅ Practical tips on mounting, unmounting, and managing filesystems, so you can maintain optimal system performance.
✅ A look at special files and virtual filesystems like /proc and /sys, crucial for system monitoring and tuning.

This guide is packed with detailed explanations, practical examples, and actionable tips that will not only make you more proficient in Linux but also elevate your DevOps skills to the next level.

Whether you’re new to DevOps or a seasoned professional, mastering the Linux filesystem is essential for your success. Don’t miss out on this valuable resource!

🛠 Equip yourself with the knowledge you need to excel in your career.

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

🎉 𝐅𝐫𝐞𝐞 𝐀𝐖𝐒 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐜𝐨𝐮𝐫𝐬𝐞𝐬 & 𝐅𝐫𝐞𝐞 𝐁𝐚𝐝𝐠𝐞𝐬! AWS launched 4 new badges, so now there are 14 training courses with badge assessments. How to enroll ⬇️

To secure this badge, simply enroll in the free course and score 80% or higher on the final assessment. It's a fantastic opportunity to demonstrate your cloud expertise without spending money.

There is not a single page that summarizes how to enroll to different AWS badges, so here you go (all up-to-date with links to the courses) including the latest 4 additions:

1️⃣ 𝐀𝐦𝐚𝐳𝐨𝐧 𝐄𝐊𝐒: 🔗https://bit.ly/eks-badge
This path is created to build technical knowledge of Kubernetes and concepts and services with a focus on Amazon EKS.

2️⃣ 𝐀𝐦𝐚𝐳𝐨𝐧 𝐄𝐯𝐞𝐧𝐭𝐬 & 𝐖𝐨𝐫𝐤𝐟𝐥𝐨𝐰𝐬: 🔗https://lnkd.in/gwMeGq8a
This learning path helps you build knowledge to effectively use AWS Step Functions to model, build, and monitor a complex business process and to design event-driven architectures based in Amazon EventBridge in production systems.

3️⃣ 𝐂𝐨𝐦𝐩𝐮𝐭𝐞 (𝐄𝐂𝟐, 𝐋𝐚𝐦𝐛𝐝𝐚): 🔗 https://lnkd.in/gURufmyD
This path is created to help build technical knowledge of AWS compute concepts and services with a focus on Amazon EC including how to balance cost and performance, available tools and components, how AWS Lambda works.

4️⃣ 𝐀𝐦𝐚𝐳𝐨𝐧 𝐁𝐫𝐚𝐜𝐤𝐞𝐭: 🔗 https://lnkd.in/gE3Sys3a
This path is created to help learn how to program quantum computers and explore their potential applications.

➕ more:
5. Migration Foundations: https://lnkd.in/g88Zsrn3
6. Networking Core: https://lnkd.in/gAeKA27u
7. Cloud Essentials: https://lnkd.in/gEMHQEtX
8. Architecting: https://lnkd.in/gYaAgXBM
9. AWS for Games: https://lnkd.in/g7a5Jjwi
10. Serverless: https://lnkd.in/gQavBp5K
11. Object Storage: https://lnkd.in/gAA_3q8U
12. Block Storage: https://lnkd.in/gEAApKty
13. File Storage: https://lnkd.in/gZHx6iUQ

♻️ Don’t miss this fantastic opportunity to demonstrate your cloud expertise without spending money. Save and share!


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

🌟 Hiring alert for DevOps ♾

✉️ Send resume to careers@tridentsqa.com


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

🔧 Kubernetes Commands for DevOps Engineers 🚀


Here’s a handy list of essential Kubernetes commands to streamline your workflow and boost your productivity. Save this post for quick reference! 📌


🔹 Cluster Management:

# Check cluster info
kubectl cluster-info

# Get all nodes
kubectl get nodes

# Describe a node
kubectl describe node <node-name>

# Check cluster health
kubectl get componentstatuses

🔹 Namespaces:

# List all namespaces
kubectl get namespaces

# Create a namespace
kubectl create namespace <namespace-name>

# Delete a namespace
kubectl delete namespace <namespace-name>

🔹 Pods:

# List all pods in the default namespace
kubectl get pods

# List pods in a specific namespace
kubectl get pods -n <namespace>

# Describe a pod
kubectl describe pod <pod-name>

# Delete a pod
kubectl delete pod <pod-name>

🔹 Deployments:

# List all deployments
kubectl get deployments

# Create a deployment
kubectl create deployment <deployment-name> --image=<image-name>

# Update a deployment
kubectl set image deployment/<deployment-name> <container-name>=<new-image>

# Scale a deployment
kubectl scale deployment <deployment-name> --replicas=<number>

# Delete a deployment
kubectl delete deployment <deployment-name>

🔹 Services:

# List all services
kubectl get services

# Create a service
kubectl expose deployment <deployment-name> --type=<type> --port=<port>

# Describe a service
kubectl describe service <service-name>

# Delete a service
kubectl delete service <service-name>

🔹 ConfigMaps & Secrets:

# List all ConfigMaps
kubectl get configmaps

# Create a ConfigMap
kubectl create configmap <configmap-name> --from-literal=<key>=<value>

# List all Secrets
kubectl get secrets

# Create a Secret
kubectl create secret generic <secret-name> --from-literal=<key>=<value>

🔹 Persistent Volumes & Claims:

# List all persistent volumes
kubectl get pv

# List all persistent volume claims
kubectl get pvc

# Create a persistent volume
kubectl apply -f <persistent-volume-definition>.yaml

# Create a persistent volume claim
kubectl apply -f <persistent-volume-claim-definition>.yaml

🔹 Logs & Monitoring:

# View logs of a pod
kubectl logs <pod-name>

# View logs of a specific container in a pod
kubectl logs <pod-name> -c <container-name>

# Stream logs of a pod
kubectl logs -f <pod-name>

🔹 Troubleshooting:

# Get events
kubectl get events

# Describe a resource
kubectl describe <resource-type> <resource-name>

# Exec into a pod
kubectl exec -it <pod-name> -- /bin/bash

🔹 Custom Resources:

# List custom resource definitions
kubectl get crd

# Describe a custom resource
kubectl describe crd <custom-resource-name>

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

💡 Know your responsibilities.

If you take out the tools, there are generic role specific requirements that companies will expect from you once you are onboard.

Keeping it simple, there are 4 levels for a DevOps role in IT.

➡️ DevOps Associate/Engineer: Level 1
- Collaborate with developers and IT staff to manage code releases.
- Assist in automating processes to improve efficiency.
- Implement and maintain CI/CD pipelines.
- Monitor system performance and troubleshoot issues.
- Assist in the design and implementation of infrastructure as code (IaC).

➡️ DevOps Engineer: Level 2
- Manage and improve CI/CD pipelines.
- Automate operational processes.
- Implement and manage monitoring and logging solutions.
- Collaborate with development and operations teams to ensure smooth deployment and operation of systems.
- Troubleshoot and resolve issues in development, test, and production environments.
- Implement and manage containerization and orchestration technologies (e.g., Docker, Kubernetes).

➡️ Senior DevOps Engineer: Level 3
- Lead and mentor junior members of the DevOps team.
- Architect and design highly available and scalable systems.
- Evaluate new technologies and tools to improve the DevOps process.
- Develop and implement best practices for infrastructure automation and configuration management.
- Collaborate with other teams to improve overall system reliability and performance.

➡️ Principal DevOps Engineer: Level 4
- Define the overall DevOps strategy for the organization.
- Lead large-scale infrastructure and automation projects.
- Drive innovation and continuous improvement within the DevOps team.
- Act as a subject matter expert for DevOps practices and technologies.
- Collaborate with executive leadership to align DevOps initiatives with business goals.


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

🚀 𝟖 𝐒𝐓𝐄𝐏𝐒 𝐓𝐎 𝐁𝐄𝐂𝐎𝐌𝐄 𝐀 𝐃𝐄𝐕𝐎𝐏𝐒 𝐄𝐍𝐆𝐈𝐍𝐄𝐄𝐑 𝐢𝐧 𝟐𝟎𝟐𝟰 🚀

DevOps is a rapidly growing field that combines software development and operations, enabling organizations to deliver high-quality software at a faster pace. So, let's explore the key skills you need to master on your journey to becoming a DevOps Engineer:

✅Step 1 - Learn networking basics

✅Step 2 - Learn Linux

✅Step 3 - Learn Cloud:
Cloud platforms like AWS, Azure, and GCP are revolutionizing the IT landscape.

✅Step 4 - Learn Infrastructure as Code (IAC)

✅Step 5 - Learn CI/CD

✅Step 6 - Learn Docker & Kubernetes

✅Step 7 - Learn Monitoring Tools

✅Step 8 - Learn Programming

Remember, becoming a DevOps Engineer is an ongoing journey. Stay curious, keep learning, and embrace new technologies and practices as they emerge. Engage in open-source projects, attend conferences, and connect with fellow professionals to expand your network and stay up-to-date.

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

😀 10 DevOps Real time Scenarios. 😀
🚀 Issues as well as their resolutions: 🚀

🔢. Continuous Integration Pipeline Failure and its Resolution.
🔗 https://lnkd.in/g9nBb79u

🔢. Application experiences performance degradation and becomes slow during high-traffic periods and its resolution.
🔗 https://lnkd.in/g9nBb79u

🔢. Deployments are error-prone and inconsistent across different environments and its resolution.
🔗 https://lnkd.in/gE6FYcBz

🔢. The application goes down in production due to an unforeseen issue and its resolution.
🔗 https://lnkd.in/gE6FYcBz

🔢. A security vulnerability is discovered in a component of the application stack and its resolution.
🔗 https://lnkd.in/gPtZ9_Ge

🔢. Production environments start to deviate from their desired configurations over time and its resolution.
🔗 https://lnkd.in/gPtZ9_Ge

🔢. A critical service experiences an outage, impacting users and business operations and its resolution.
🔗 https://lnkd.in/gvTtGYC7

🔢. Communication breakdowns between development and operations teams lead to misunderstandings and delays and its resolution.
🔗 https://lnkd.in/gvTtGYC7

🔢. A major release causes unexpected issues in the production environment.
🔗 https://lnkd.in/gYbFKPrv

🔢🔢. Cloud resource costs are increasing beyond budgeted limits.
🔗 https://lnkd.in/gYbFKPrv


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

☁️ 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!!!

⚠️ DevOps Monitoring in Kubernetes: Essential Insights 📉

As I've delved into Kubernetes, I've found that monitoring tools are indispensable in maintaining the health and performance of clusters. Tools like Prometheus, elasticsearch, and Jaeger play a crucial role in metrics collection, logging, and tracing, ensuring that every part of the cluster runs smoothly.

📊 Metrics Collection: Prometheus, grafana helps in scraping and visualizing metrics, with exporters and service discovery enhancing its capabilities.

🗃 Logging: Elasticsearch, kibana, Fluentd and Fluent Bit efficiently gather logs for centralized storage and analysis, making troubleshooting a breeze.

🔆 Tracing: Jaeger and Zipkin provide distributed tracing, helping identify bottlenecks in microservices.

By mastering these tools, Kubernetes admins can maintain robust and reliable applications.

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