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

⭐️ 𝘼𝙡𝙡 𝙞𝙣 𝙊𝙣𝙚 𝙗𝙪𝙙𝙙𝙡𝙚 𝙤𝙛 𝙆𝙪𝙗𝙚𝙧𝙣𝙚𝙩𝙚𝙨 ⭐️


📱 SOURCE LINK: https://github.com/NotHarshhaa/Kubernetes

🛑 This Repository includes:-

- Deployment manifest files
- Jenkins deployments & configurations
- Kubernetes Ingress files
- Realtime projects manifest files
- Helm charts for any application
- End to End Manifest files for any applications
- Includes AWS ELK Stack (Elasticsearch, Logstash, Kibana)
- Network service configurations templates
- Application monitoring templates for any applications
- Complete application launch manifest files for Realtime projects


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

🔥 YOUTUBE CHANNELS TO LEARN DEVOPS 🔥

❓ Note: This tutorial should be followed, the way I numbered it.

⚡️ COMPLETE DEVOPS TUTORIAL:

➡️ 1. DevOps Pre-requisite
https://lnkd.in/dD9Z_5qA

➡️ 2. Networking
https://lnkd.in/dEmZ8zhY

https://lnkd.in/dwfmwmA9

➡️ 3. Linux
https://lnkd.in/d7gzxH5z

https://lnkd.in/dr4pjCV3

https://lnkd.in/dzTQE4b7

➡️ 4. Shell scripting
https://lnkd.in/dKrD_up7

https://lnkd.in/dJVqMt3Y

https://lnkd.in/d7VVbbNJ

➡️ 5. Git & GitHub
https://lnkd.in/dEp3KrTJ

https://lnkd.in/d6aM7Ek7

https://lnkd.in/duksFRgG

https://lnkd.in/ddpKXxqt

➡️ 6. Databases
https://lnkd.in/duMVr4bn

https://lnkd.in/dnUQ_uGe

➡️ 7. Artifact Repository Manager
https://lnkd.in/dgNHs7WD

➡️ 8. Docker
https://lnkd.in/dPddbJTf

https://lnkd.in/dnjHdxPR

➡️ 9. Jenkins
https://lnkd.in/dMHv9T8U

https://lnkd.in/dcynPYYH

➡️ 10. AWS
https://lnkd.in/dz7d5qEc

https://lnkd.in/dmi-TMv9

https://lnkd.in/dx-iqVNe

➡️ 11. SSH
🟢 Mobaxterm :
https://lnkd.in/ds7nUhbx

🟢 Putty :
https://lnkd.in/gGgW7Ns9

➡️ 12. Yaml
https://lnkd.in/dNqrXjmV

https://lnkd.in/dNqrXjmV

➡️ 13. Kubernetes
https://lnkd.in/duGZwHYX

https://lnkd.in/de84ESNv

➡️ 14. Helm
https://lnkd.in/ds_8WB7G

➡️ 15. Terraform
https://lnkd.in/dvpzNT5M

https://lnkd.in/dRs3YFu3

https://lnkd.in/d8nkTj3n

➡️ 16. Python
https://lnkd.in/d-EhshQz

https://lnkd.in/dYjay9ia

https://lnkd.in/dFtNz_9D

https://lnkd.in/dcYq8nE2

➡️ 17. Ansible
https://lnkd.in/dGKkrXrA

https://lnkd.in/dNugwtVW

https://lnkd.in/dhknHJXp

➡️ 18. Prometheus
https://lnkd.in/dpXhmVqs

https://lnkd.in/dStQbpRX

➡️ 19. Grafana
https://lnkd.in/ddAV7_-p

https://lnkd.in/dRwfE7A4

HAPPY LEARNING 📌


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

🛠 Implementation of the Entire Advanced CI/CD Pipeline with Major DevOps Tools 🛠

➡️ Project Link : HERE

💥 Included Step by Step procedure
💥 Easy Understanding guide
💥 Used DevOps advanced Tools
💥 Each & Every Commands used in project are Included
💥 Tools used in Project :
✅ Jenkins
✅ Docker
✅ Kubernetes
✅ Ansible
✅ Terraform
✅ Prometeous
✅ Maven
✅ AWS
✅ SonarQube
✅ SonarCloud
✅ JFrog

Hit the Star! 🌟 & Follow me on GitHub for more like this

If you are planning to use this repo for learning, please hit the star.


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

🚀 Unlock the Power of Programming in DevOps! 🧑‍💻


🔗 Read the full article here: The Role of Programming and Coding in DevOps: An In-Depth Guide for DevOps Engineers

🌟 I’m thrilled to share our latest in-depth guide: "The Role of Programming and Coding in DevOps: An In-Depth Guide for DevOps Engineers." This article is essential reading for anyone in the DevOps field who wants to bridge the gap between development and operations, enhancing both efficiency and effectiveness.

🎯 What You’ll Learn:
✅ Why Coding is Crucial in DevOps: Discover the importance of coding skills in automating repetitive tasks, managing infrastructure as code (IaC), and improving collaboration between development and operations teams.

✅ Key Programming Languages: Learn about the must-know languages like Python, Go, Bash, and Ruby, and how they can help you automate processes, write scripts, and manage complex environments.

✅ Real-World Applications: Get insights into how programming is used in CI/CD pipelines, configuration management, containerization, and cloud deployments, with examples that you can apply to your projects.

✅ Best Practices and Tips: Practical advice on writing efficient, scalable, and maintainable code that will make your DevOps processes more robust and reliable.

Whether you’re just starting out in DevOps or you’re a seasoned pro looking to level up your skills, this guide will provide you with the knowledge you need to succeed in today’s fast-paced tech landscape.

💡 Why This Matters: Programming is no longer optional for DevOps engineers. It’s the key to automating processes, reducing errors, and delivering faster, more reliable services. Mastering these skills will set you apart and accelerate your career in DevOps.


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

🔔 𝐇𝐞𝐫𝐞 𝐚𝐫𝐞 𝐬𝐨𝐦𝐞 𝐜𝐨𝐦𝐦𝐨𝐧 𝐞𝐫𝐫𝐨𝐫𝐬 𝐚𝐧𝐝 𝐢𝐬𝐬𝐮𝐞𝐬 𝐰𝐞 𝐨𝐟𝐭𝐞𝐧 𝐞𝐧𝐜𝐨𝐮𝐧𝐭𝐞𝐫 𝐰𝐡𝐞𝐧 𝐰𝐨𝐫𝐤𝐢𝐧𝐠 𝐰𝐢𝐭𝐡 𝐃𝐨𝐜𝐤𝐞𝐫:

➡️ 1.𝐈𝐦𝐚𝐠𝐞 𝐍𝐨𝐭 𝐅𝐨𝐮𝐧𝐝: You might encounter this error when trying to run a container with an image that doesn't exist locally or on the specified Docker registry. Ensure that you've pulled the image or that the image name and tag are correct.

➡️ 2.𝐏𝐞𝐫𝐦𝐢𝐬𝐬𝐢𝐨𝐧 𝐃𝐞𝐧𝐢𝐞𝐝: Docker containers often run as non-root users for security reasons. If your application requires access to certain resources or directories, make sure you've set the appropriate file permissions and user/group settings within the container.

➡️ 3.𝐏𝐨𝐫𝐭 𝐂𝐨𝐧𝐟𝐥𝐢𝐜𝐭𝐬: Trying to run multiple containers that use the same host port can lead to port conflicts. Ensure that the ports you specify in the docker run command do not conflict with existing ports in use on your host system.

➡️ 4.𝐎𝐮𝐭 𝐨𝐟 𝐃𝐢𝐬𝐤 𝐒𝐩𝐚𝐜𝐞: Docker uses disk space for images, containers, and logs. Over time, this can consume a significant amount of disk space. Periodically clean up unused images and containers using the docker system prune command.

➡️ 5.𝐂𝐨𝐧𝐭𝐚𝐢𝐧𝐞𝐫 𝐂𝐫𝐚𝐬𝐡: Containers may crash for various reasons, such as misconfiguration or application issues. Use docker logs <container_name> to check the container logs for error messages that can help diagnose the problem.

➡️ 6.𝐃𝐨𝐜𝐤𝐞𝐫 𝐁𝐮𝐢𝐥𝐝 𝐅𝐚𝐢𝐥𝐮𝐫𝐞𝐬: Issues may arise during the build process of a Docker image. Common problems include incorrect Dockerfile syntax, missing files or dependencies, and network problems while downloading packages during the build.

➡️ 7.𝐍𝐞𝐭𝐰𝐨𝐫𝐤𝐢𝐧𝐠 𝐏𝐫𝐨𝐛𝐥𝐞𝐦𝐬: Docker containers can have connectivity problems if not properly configured. Ensure that the container is attached to the correct network, that firewalls are not blocking required ports, and that DNS settings are correct.

➡️ 8.𝐕𝐨𝐥𝐮𝐦𝐞 𝐌𝐨𝐮𝐧𝐭 𝐄𝐫𝐫𝐨𝐫𝐬: Failing to properly mount volumes can result in data loss or incorrect behavior. Double-check the paths and permissions when using the -v flag in docker run or docker-compose.

➡️ 9.𝐑𝐞𝐬𝐨𝐮𝐫𝐜𝐞 𝐂𝐨𝐧𝐬𝐭𝐫𝐚𝐢𝐧𝐭𝐬: Docker containers can consume significant CPU and memory resources. Make sure you allocate appropriate resources using the --cpu and --memory flags when running containers.

➡️ 10.𝐈𝐦𝐚𝐠𝐞 𝐕𝐮𝐥𝐧𝐞𝐫𝐚𝐛𝐢𝐥𝐢𝐭𝐢𝐞𝐬: Using outdated or insecure base images can introduce security vulnerabilities. Regularly update your Docker images and use tools like Clair or Trivy to scan for vulnerabilities.

➡️ 11.𝐑𝐞𝐬𝐨𝐮𝐫𝐜𝐞 𝐋𝐞𝐚𝐤𝐬: Containers should clean up after themselves when they exit. Be cautious about resource leaks, such as leaving behind orphaned processes or unreleased file handles.


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

❤️‍🔥6 Most Confusing GIT Commands 👇

🟡 Simplified and concise illustration of commands for better understanding

𝟭. 𝗴𝗶𝘁 𝗺𝗲𝗿𝗴𝗲 𝘃𝘀 𝗴𝗶𝘁 𝗿𝗲𝗯𝗮𝘀𝗲:
- 𝘨𝘪𝘵 𝘮𝘦𝘳𝘨𝘦 combines branch changes with new merge commits
- 𝘨𝘪𝘵 𝘳𝘦𝘣𝘢𝘴𝘦 moves branch changes on top, creating a linear history

𝟮. 𝗴𝗶𝘁 𝗿𝗲𝘀𝗲𝘁 𝘃𝘀 𝗴𝗶𝘁 𝗿𝗲𝘃𝗲𝗿𝘁:
- 𝘨𝘪𝘵 𝘳𝘦𝘴𝘦𝘵 undoes changes and moves the branch pointer, discarding subsequent commits
- 𝘨𝘪𝘵 𝘳𝘦𝘷𝘦𝘳𝘵 creates new undo commits, preserving history

𝟯. 𝗴𝗶𝘁 𝗳𝗲𝘁𝗰𝗵 𝘃𝘀 𝗴𝗶𝘁 𝗽𝘂𝗹𝗹:
- 𝘨𝘪𝘵 𝘧𝘦𝘵𝘤𝘩 downloads remote changes without auto-merging
- 𝘨𝘪𝘵 𝘱𝘶𝘭𝘭 fetches and auto-merges remote changes

In short,
➡️git pull = git fetch + git merge⬅️

DevOps is the most happening and integral part of almost all organizations.

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