DevOps & Cloud (AWS, AZURE, GCP) Tech Free Learning
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https://projects.prodevopsguytech.com // https://blog.prodevopsguytech.com • We post Daily Trending DevOps/Cloud content • All DevOps related Code & Scripts uploaded • DevOps/Cloud Job Related Posts • Real-time Interview questions & preparation guides
Показати більше📈 Аналітичний огляд Telegram-каналу DevOps & Cloud (AWS, AZURE, GCP) Tech Free Learning
Канал DevOps & Cloud (AWS, AZURE, GCP) Tech Free Learning (@prodevopsguy) у мовному сегменті Англійська є активним учасником. На даний момент спільнота об'єднує 16 318 підписників, посідаючи 7 977 місце в категорії Технології та додатки та 25 792 місце у регіоні Індія.
📊 Показники аудиторії та динаміка
З моменту свого створення невідомо, проект продемонстрував стрімке зростання, зібравши аудиторію у 16 318 підписників.
За останніми даними від 07 липня, 2026, канал демонструє стабільну активність. Хоча за останні 30 днів спостерігається зміна кількості учасників на 166, а за останні 24 години на 0, загальне охоплення залишається високим.
- Статус верифікації: Не верифікований
- Рівень залученості (ER): Середній показник залученості аудиторії становить 0%. Протягом перших 24 годин після публікації контент зазвичай збирає N/A% реакцій від загальної кількості підписників.
- Охоплення публікацій: В середньому кожен допис отримує 0 переглядів. Протягом першої доби публікація в середньому набирає 0 переглядів.
- Реакції та взаємодія: Аудиторія активно підтримує контент: середня кількість реакцій на один пост – 0.
- Тематичні інтереси: Контент зосереджений навколо ключових тем, таких як devops, docker, terraform, kubernete, git.
📝 Опис та контентна політика
Автор описує ресурс як майданчик для висловлення суб'єктивної думки:
“https://projects.prodevopsguytech.com // https://blog.prodevopsguytech.com
• We post Daily Trending DevOps/Cloud content
• All DevOps related Code & Scripts uploaded
• DevOps/Cloud Job Related Posts
• Real-time Interview questions & preparation guid...”
Завдяки високій частоті оновлень (останні дані отримано 08 липня, 2026), канал підтримує актуальність та високий рівень охоплення публікацій. Аналітика показує, що аудиторія активно взаємодіє з контентом, що робить його важливою точкою впливу в категорії Технології та додатки.
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🔧 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# List all namespaces
kubectl get namespaces
# Create a namespace
kubectl create namespace <namespace-name>
# Delete a namespace
kubectl delete namespace <namespace-name># 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># 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># 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># 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># 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# 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># 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# List custom resource definitions
kubectl get crd
# Describe a custom resource
kubectl describe crd <custom-resource-name>
🌟 Hiring alert for DevOps ♾
✉️ Send resume to careers@tridentsqa.com
⚡️ 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!!!
🐧 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:
✅ 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.
🔗 Read the full article here: Understanding the Linux Filesystem: An In-Depth Guide for DevOps Engineers
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
📣 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
❤️🔥 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 for more: @prodevopsguy
⚠️ 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
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 for more: @prodevopsguy
🛠 Essential AWS CLI Commands for DevOps Engineers 🛠
📌 Setup and Configuration:
# Install AWS CLI
pip install awscli
# Configure AWS CLI
aws configure# 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># 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># 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># 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># List CloudWatch log groups
aws logs describe-log-groups
# Create CloudWatch log group
aws logs create-log-group --log-group-name <log-group-name># 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># 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>
🤔 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!!!
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📌 𝐓𝐨𝐩 𝐊𝐮𝐛𝐞𝐫𝐧𝐞𝐭𝐞𝐬 '𝐘𝐚𝐦𝐥' 𝐯𝐚𝐥𝐢𝐝𝐚𝐭𝐢𝐨𝐧 𝐭𝐨𝐨𝐥𝐬 & 𝐢𝐭'𝐬 𝐮𝐬𝐚𝐠𝐞 ☸️ 🛠
👉 𝐂𝐨𝐧𝐟𝐭𝐞𝐬𝐭 (https://lnkd.in/gfBYcnGM)
✍️ Provides a testing framework for developers to check and verify hashtag#k8s resources to validate against Kubernetes configuration. Users can easily write tests for hashtag#serverless, hashtag#Terraform and other prominent frameworks
👉 𝐊𝐮𝐛𝐞𝐜𝐨𝐧𝐟𝐨𝐫𝐦 (https://lnkd.in/g6fm4vHY)
✍️ Tool that validates manifests using the official hashtag#Kubernetes hashtag#OpenAPI specifications on the server side
👉 𝐊𝐮𝐛𝐞𝐥𝐢𝐧𝐭𝐞𝐫 (https://lnkd.in/gV95CqFh)
✍️ Analyzes Kubernetes YAML files and Helm charts, checks them against a variety of best practices, with a focus on production readiness and security
👉 𝐘𝐚𝐦𝐥𝐥𝐢𝐧𝐭 (https://lnkd.in/g-uqstAc)
✍️ Validate, verify and reformat yaml documents, checking cosmetic problems such as lines length, trailing spaces, indentation
👉 𝐂𝐨𝐩𝐩𝐞𝐫 (https://lnkd.in/ftSQcA4)
✍️ Checks configuration files through custom checks through helper functions written in javascript. Enforces best practices, apply policies and compliance requirements
👉 C𝐨𝐧𝐟𝐢𝐠-𝐥𝐢𝐧𝐭 (https://lnkd.in/gSaCEuWU)
✍️ CLI tool to validate configuration files using rules specified in YAML. The configuration files can be one of several formats: Terraform, JSON, YAML, with support for Kubernetes
👉 𝐊𝐮𝐛𝐞-𝐬𝐜𝐨𝐫𝐞 (https://lnkd.in/gAvzn_WE)
✍️ Tool that performs static code analysis of k8s object definitions. The output is list of recommendations of what you can improve to make the application more secure and resilient
👉 𝐂𝐡𝐚𝐫𝐭-𝐭𝐞𝐬𝐭𝐢𝐧𝐠 (https://lnkd.in/gKM-9bQm)
✍️ Tool for testing Helm charts that is used for linting and testing pull requests. It automatically detects charts changed against the target branch
👉 𝐊𝐥𝐢𝐧𝐭 (https://lnkd.in/gnFsWfkw)
✍️ Listens to changes in Kubernetes resources and runs linting rules against them. Alerts are published via Slack webhooks to a configurable channel
👉 𝐊𝐮𝐛𝐞𝐯𝐢𝐨𝐮𝐬 𝐂𝐋𝐈 (https://lnkd.in/fyqqp9U)
✍️ Standalone tool that validates YAML manifests for syntax, semantics, conflicts, compliance and security best practices violations. Can be easily used during active development and integrated into hashtag#GitOps processes and CI/CD pipelines to validate changes toward live Kubernetes clusters
😎 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝗳𝗼𝗿 𝗺𝗼𝗿𝗲 𝘀𝘂𝗰𝗵 𝗰𝗼𝗻𝘁𝗲𝗻𝘁 𝗮𝗿𝗼𝘂𝗻𝗱 𝗰𝗹𝗼𝘂𝗱 & 𝗗𝗲𝘃𝗢𝗽𝘀!!! // Join for DevOps DOCs: @devopsdocs
📌 𝐓𝐨𝐩 𝐊𝐮𝐛𝐞𝐫𝐧𝐞𝐭𝐞𝐬 '𝐘𝐚𝐦𝐥' 𝐯𝐚𝐥𝐢𝐝𝐚𝐭𝐢𝐨𝐧 𝐭𝐨𝐨𝐥𝐬 & 𝐢𝐭'𝐬 𝐮𝐬𝐚𝐠𝐞 ☸️ 🛠
👉 𝐂𝐨𝐧𝐟𝐭𝐞𝐬𝐭 (https://lnkd.in/gfBYcnGM)
✍️ Provides a testing framework for developers to check and verify hashtag#k8s resources to validate against Kubernetes configuration. Users can easily write tests for hashtag#serverless, hashtag#Terraform and other prominent frameworks
👉 𝐊𝐮𝐛𝐞𝐜𝐨𝐧𝐟𝐨𝐫𝐦 (https://lnkd.in/g6fm4vHY)
✍️ Tool that validates manifests using the official hashtag#Kubernetes hashtag#OpenAPI specifications on the server side
👉 𝐊𝐮𝐛𝐞𝐥𝐢𝐧𝐭𝐞𝐫 (https://lnkd.in/gV95CqFh)
✍️ Analyzes Kubernetes YAML files and Helm charts, checks them against a variety of best practices, with a focus on production readiness and security
👉 𝐘𝐚𝐦𝐥𝐥𝐢𝐧𝐭 (https://lnkd.in/g-uqstAc)
✍️ Validate, verify and reformat yaml documents, checking cosmetic problems such as lines length, trailing spaces, indentation
👉 𝐂𝐨𝐩𝐩𝐞𝐫 (https://lnkd.in/ftSQcA4)
✍️ Checks configuration files through custom checks through helper functions written in javascript. Enforces best practices, apply policies and compliance requirements
👉 C𝐨𝐧𝐟𝐢𝐠-𝐥𝐢𝐧𝐭 (https://lnkd.in/gSaCEuWU)
✍️ CLI tool to validate configuration files using rules specified in YAML. The configuration files can be one of several formats: Terraform, JSON, YAML, with support for Kubernetes
👉 𝐊𝐮𝐛𝐞-𝐬𝐜𝐨𝐫𝐞 (https://lnkd.in/gAvzn_WE)
✍️ Tool that performs static code analysis of k8s object definitions. The output is list of recommendations of what you can improve to make the application more secure and resilient
👉 𝐂𝐡𝐚𝐫𝐭-𝐭𝐞𝐬𝐭𝐢𝐧𝐠 (https://lnkd.in/gKM-9bQm)
✍️ Tool for testing Helm charts that is used for linting and testing pull requests. It automatically detects charts changed against the target branch
👉 𝐊𝐥𝐢𝐧𝐭 (https://lnkd.in/gnFsWfkw)
✍️ Listens to changes in Kubernetes resources and runs linting rules against them. Alerts are published via Slack webhooks to a configurable channel
👉 𝐊𝐮𝐛𝐞𝐯𝐢𝐨𝐮𝐬 𝐂𝐋𝐈 (https://lnkd.in/fyqqp9U)
✍️ Standalone tool that validates YAML manifests for syntax, semantics, conflicts, compliance and security best practices violations. Can be easily used during active development and integrated into hashtag#GitOps processes and CI/CD pipelines to validate changes toward live Kubernetes clusters
😎 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝗳𝗼𝗿 𝗺𝗼𝗿𝗲 𝘀𝘂𝗰𝗵 𝗰𝗼𝗻𝘁𝗲𝗻𝘁 𝗮𝗿𝗼𝘂𝗻𝗱 𝗰𝗹𝗼𝘂𝗱 & 𝗗𝗲𝘃𝗢𝗽𝘀!!! // Join for DevOps DOCs: @devopsdocs
➡️Useful Terraform commands along with brief explanations:- ❤️
1.
terraform init: Initializes a working directory containing Terraform configuration files.
2. terraform plan: Generates an execution plan, outlining actions Terraform will take.
3. terraform apply: Applies the changes described in the Terraform configuration.
4. terraform destroy: Destroys all resources described in the Terraform configuration.
5. terraform validate: Checks the syntax and validity of Terraform configuration files.
6. terraform refresh: Updates the state file against real resources in the provider.
7. terraform output: Displays the output values from the Terraform state.
8. terraform state list: Lists resources within the Terraform state.
9. terraform show: Displays a human-readable output of the current state or a specific resource's state.
10. terraform import: Imports existing infrastructure into Terraform state.
11. terraform fmt: Rewrites Terraform configuration files to a canonical format.
12. terraform graph: Generates a visual representation of the Terraform dependency graph.
13. terraform providers: Prints a tree of the providers used in the configuration.
14. terraform workspace list: Lists available workspaces.
15. terraform workspace select: Switches to another existing workspace.
16. terraform workspace new: Creates a new workspace.
17. terraform workspace delete: Deletes an existing workspace.
18. terraform output: Retrieves output values from a module.
19. terraform state mv: Moves an item in the state.
20. terraform state pull: Pulls the state from a remote backend.
21. terraform state push: Pushes the state to a remote backend.
22. terraform state rm: Removes items from the state.
23. terraform taint: Manually marks a resource for recreation.
24. terraform untaint: Removes the 'tainted' state from a resource.
25. terraform login: Saves credentials for Terraform Cloud.
26. terraform logout: Removes credentials for Terraform Cloud.
27. terraform force-unlock: Releases a locked state.
28. terraform import: Imports existing infrastructure into your Terraform state.
29. terraform plan -out: Saves the generated plan to a file.
30. terraform apply -auto-approve: Automatically applies changes without requiring approval.
31. terraform apply -target=resource: Applies changes only to a specific resource.
32. terraform destroy -target=resource: Destroys a specific resource.
33. terraform apply -var="key=value": Sets a variable's value directly in the command line.
34. terraform apply -var-file=filename.tfvars: Specifies a file containing variable definitions.
35. terraform apply -var-file=filename.auto.tfvars: Automatically loads variables from a file.
🎄 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝗳𝗼𝗿 𝗺𝗼𝗿𝗲 𝘀𝘂𝗰𝗵 𝗰𝗼𝗻𝘁𝗲𝗻𝘁 𝗮𝗿𝗼𝘂𝗻𝗱 𝗰𝗹𝗼𝘂𝗱 & 𝗗𝗲𝘃𝗢𝗽𝘀!!!