DevOps & Cloud (AWS, AZURE, GCP) Tech Free Learning

🌐 𝙒𝙝𝙚𝙣 𝙎𝙝𝙤𝙪𝙡𝙙 𝙔𝙤𝙪 𝙐𝙨𝙚 𝘼𝙇𝘽 𝙫𝙨. 𝘼𝙋𝙄 𝙂𝙖𝙩𝙚𝙬𝙖𝙮 + 𝘼𝙇𝘽 𝙛𝙤𝙧 𝙈𝙞𝙘𝙧𝙤𝙨𝙚𝙧𝙫𝙞𝙘𝙚𝙨 𝘾𝙤𝙢𝙢𝙪𝙣𝙞𝙘𝙖𝙩𝙞𝙤𝙣? In a microservices architecture, 𝗔𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗟𝗼𝗮𝗱 𝗕𝗮𝗹𝗮𝗻𝗰𝗲𝗿 (𝗔𝗟𝗕) is often the go-to solution for routing incoming requests to the correct microservices based on their paths. But here's the key question: 𝘿𝙤 𝙮𝙤𝙪 𝙣𝙚𝙚𝙙 𝙖𝙣 𝘼𝙋𝙄 𝙂𝙖𝙩𝙚𝙬𝙖𝙮 𝙤𝙣 𝙩𝙤𝙥 𝙤𝙛 𝙖𝙣 𝘼𝙇𝘽? The answer depends on how your microservice APIs are intended to be used: 🔒 𝗙𝗼𝗿 𝗜𝗻𝘁𝗲𝗿𝗻𝗮𝗹 𝗨𝘀𝗲 If the APIs provided by the microservices are solely for internal use (within your VPC or Account), there’s no need for an additional API Gateway. The ALB’s DNS endpoint is sufficient to access the APIs directly. 🔠 𝗪𝗵𝘆? 💵 𝗖𝗼𝘀𝘁-𝗲𝗳𝗳𝗶𝗰𝗶𝗲𝗻𝘁: Reduces operational costs by avoiding unnecessary layers. ⚡ 𝗟𝗼𝘄 𝗹𝗮𝘁𝗲𝗻𝗰𝘆: Enables faster communication with fewer hops. 🛠 𝗦𝗶𝗺𝗽𝗹𝗶𝗳𝗶𝗲𝘀 𝘆𝗼𝘂𝗿 𝗮𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘂𝗿𝗲: Removes operational complexity for internal traffic. 🌍 𝗙𝗼𝗿 𝗘𝘅𝘁𝗲𝗿𝗻𝗮𝗹 𝗨𝘀𝗲 If you’re exposing your microservices' APIs to external consumers (e.g., business partners, external apps), an API Gateway becomes essential. It provides: 🛡 𝗦𝗲𝗰𝘂𝗿𝗶𝘁𝘆: Authentication and authorization. 🚦 𝗧𝗿𝗮𝗳𝗳𝗶𝗰 𝗠𝗮𝗻𝗮𝗴𝗲𝗺𝗲𝗻𝘁: Rate limiting, throttling, and quota management. 🔁𝗧𝗿𝗮𝗻𝘀𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝗼𝗻: Request and response transformation for better API control. 📊 𝗠𝗼𝗻𝗶𝘁𝗼𝗿𝗶𝗻𝗴 & 𝗢𝗯𝘀𝗲𝗿𝘃𝗮𝗯𝗶𝗹𝗶𝘁𝘆: Centralized logging and metrics via CloudWatch. While API Gateway offers these benefits, remember that it adds operational complexity and cost. 𝗜𝗳 𝘆𝗼𝘂 𝗱𝗼𝗻’𝘁 𝗻𝗲𝗲𝗱 𝗶𝘁, 𝗮𝘃𝗼𝗶𝗱 𝘂𝘀𝗶𝗻𝗴 𝗶𝘁 𝘂𝗻𝗻𝗲𝗰𝗲𝘀𝘀𝗮𝗿𝗶𝗹𝘆. ⭐️ 𝗞𝗲𝘆 𝗧𝗮𝗸𝗲𝗮𝘄𝗮𝘆𝘀: 💵 𝗖𝗼𝘀𝘁 𝗘𝗳𝗳𝗶𝗰𝗶𝗲𝗻𝗰𝘆: Avoid API Gateway for internal traffic to save costs. 🔒 𝗘𝗻𝗵𝗮𝗻𝗰𝗲𝗱 𝗦𝗲𝗰𝘂𝗿𝗶𝘁𝘆: Use API Gateway to secure and manage external-facing APIs. ⚡ 𝗟𝗼𝘄𝗲𝗿 𝗟𝗮𝘁𝗲𝗻𝗰𝘆: Leverage ALB for faster communication between internal microservices. 📱 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

🅱️ash scripting: a must-have skill for DevOps Engineers...!! 🅱️ash: Because the real power in DevOps is in the terminal. Why click when you can script? 🔖 Awesome Bash - GitHub https://lnkd.in/d2GS596g 🔖 Introduction-to-bash-scripting - bobbyiliev https://lnkd.in/dyuNazXa 🔖 Bash Scripting Tutorial for Beginners - freecodecamp.org https://lnkd.in/dwVxTbtm 🔖 Interactive Shell Scripting Tutorial - learnshell https://lnkd.in/dGcV5nHF 🔖 Bash Scripting Tutorial - javatpoint https://lnkd.in/dW6yEivu 🔖 Bash in 100 Seconds - Fireship https://lnkd.in/d-YFYGEZ 🔖 Bash - daily.dev https://lnkd.in/dtSHjjWj 🔖 BashGuide - wooledge.org https://lnkd.in/dV6FbThv 🔖 BashPitfalls - wooledge.org https://lnkd.in/dBUVZn42 🔖 Bash Handbook - GitHub https://lnkd.in/dS5Udv6e 🔖 Serious Shell Programming https://lnkd.in/d99Jix68 🔖 Bash-Scripting-Tutorial - ryanstutorials.net https://lnkd.in/duG-Xvs5 🔖 Sh - the Bourne Shell - grymoire.com https://lnkd.in/d9KX3dyn 🔖 ShellCheck - finds bugs in your shell scripts https://lnkd.in/dGsRa_m4 🔖 BashBook - Goalkicker https://lnkd.in/dZSbUBH4 🔖 Advanced Bash Scripting - Kodekloud https://lnkd.in/dz4QstTf 🔖 Bash Mastery: The Complete Guide to Bash Shell Scripting - Udemy https://lnkd.in/dyMXiwAb 🔖 Learn Bash Quickly - Ahmed Alkabary https://lnkd.in/dma-zv6t 🔖 50 cool Bash scripts! and what they do - Medium https://lnkd.in/dXDYm46x 📱 𝐅𝐨𝐥𝐥𝐨𝐰 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs

➡️Don't set unreal expectations from your first Cloud-DevOps job: • You won’t be asked to build a pipeline on day 1. • You won’t be updating the YAMLs on day 2. • You won’t be modernising the entire infrastructure with Terraform or Crossplane. • You won’t be automating anything and everything you see. • You won’t be asked to create custom dashboards. • You won’t be asked to replace Jenkins with GitLab. • You won't be handling a full-scale data migration alone. • You won’t be asked to spend your weekend troubleshooting that late Friday push. ⚠️ Set the expectations low, every company has their unique definition of Cloud-DevOps. 📱 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs

🐧 49 Linux Commands Every DevOps Engineer Should Have in Their Back Pocket ➡️System Intelligence: • htop - Like top, but actually useful • df -h - Because disk space issues find you • netstat -tulpn - Your network's story • lsof - What's using that port? • ps aux | grep - Finding that runaway process • dmesg - Kernel's gossip channel ➡️File Operations: • find . -name - Your file search superhero • tar -xvf - Unzip like a pro • rsync - scp's smarter cousin • sed -i - Stream editing wizard • awk - Text manipulation magic • grep -r - Find text like a detective ➡️Container Life: • docker stats - Container vital signs • docker logs -f - Live container stories • crictl pods - Kubernetes container whisperer • kubectl get pods - K8s status check ➡️Monitoring Magic: • tail -f - Log watching party • watch - Command on repeat • vmstat - Memory tales • iostat - Disk performance poetry ➡️Network Ninja: • curl -v - HTTP storyteller • nc - Network swiss army knife • dig - DNS detective • ss - Socket statistics ➡️Security Stuff: • chmod - Permission painter • chown - Ownership wizard • openssl - Certificate craftsman • ssh-keygen - Key creator ➡️Process Control: • systemctl - Service sorcery • journalctl - Log time machine • kill -9 - Process terminator • nice - Priority painter ➡️Performance Profiling: • strace - System call spy • tcpdump - Network packet poet • sar - System activity reporter • perf - Performance profiler ➡️Text Wrangling: • cut -d - Column collector • sort | uniq -c - Pattern finder • tr - Character changer • wc -l - Line counter ➡️File System: • du -sh - Directory size detective • fdisk -l - Disk detective • mount - filesystem connector • ln -s - Symlink sorcerer ➡️Shell Shortcuts: • history | grep - Command time machine • !! - Last command replay • ctrl+r - Reverse search magic • alias - Command shortcut creator ➡️Miscellaneous Mastery: • tee - Output splitter • xargs - Command multiplier • at - Job scheduler • screen/tmux - Terminal multiplexer 📱 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

➡️ 𝐖𝐡𝐚𝐭 𝐢𝐬 𝐃𝐨𝐜𝐤𝐞𝐫𝐟𝐢𝐥𝐞? A Dockerfile is essentially a set of instructions that Docker follows to build a Docker image. These instructions specify what operating system to use, what software packages to install, what files to copy into the container, what environment variables to set, and what commands to run when the container starts. ➡️𝐖𝐡𝐲 𝐔𝐬𝐞 𝐚 𝐃𝐨𝐜𝐤𝐞𝐫𝐟𝐢𝐥𝐞? 🔹Reproducibility: With a Dockerfile, you can ensure that your application environment is consistent across different environments, such as development, testing, and production. This reproducibility eliminates the "it works on my machine" problem. 🔹Version Control: Dockerfiles are text files that can be version controlled using tools like Git. This means you can track changes to your Docker environment over time and easily roll back to previous versions if needed. 🔹Automation: Dockerfiles enable automation of the containerization process. Once you have defined your Dockerfile, you can use it to build your Docker image with a single command, streamlining the deployment process. 🔹Scalability: Dockerfiles allow you to define the components of your application stack in a modular way. This makes it easy to scale your application by adding or removing containers as needed. 🔹Collaboration: Dockerfiles make it easy to share your application environment with collaborators. By sharing your Dockerfile, others can quickly spin up the same environment on their own machines. 😎 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝗳𝗼𝗿 𝗺𝗼𝗿𝗲 𝘀𝘂𝗰𝗵 𝗰𝗼𝗻𝘁𝗲𝗻𝘁 𝗮𝗿𝗼𝘂𝗻𝗱 𝗰𝗹𝗼𝘂𝗱 & 𝗗𝗲𝘃𝗢𝗽𝘀!!! // Join for DevOps DOCs: @devopsdocs

🅰️utomate everything, but expose nothing—vault your secrets! 🔖 How to Manage Secrets in Web Applications? https://lnkd.in/drR8YgEs 🔖 Why DevSecOps Teams Need Secrets Management https://lnkd.in/d2gqdrb9 🔖 DevOps Tricks for Managing Secrets in Production https://lnkd.in/dJGeNQr3 🔖 Sealed Secrets https://lnkd.in/dak4jcvp 🔖 Sealed Secrets https://lnkd.in/dpHMe_NX 🔖 Vault https://lnkd.in/dgjvNar6 🔖 HashiCorp Vault Explained in 180 seconds https://lnkd.in/dwum89JX 🔖 HashiCorp Vault Tutorial for Beginners | FULL COURSE in 1 Hour | HashiCorp Vault Fundamentals https://lnkd.in/dqG7XPVv 🔖 hashicorp/vaultPublic https://lnkd.in/daanT-JG 🔖 SOPS https://getsops.io/ 🔖 getsops/sops https://lnkd.in/dtAUDqv5 🔒 Cloud Specific Tools 🔖 AWS Secrets Manager https://lnkd.in/diW4E4Gq 🔖 AWS Secrets Manager Service Overview with Demo https://lnkd.in/d9tmdVgW 🔖 GCP - Secrets Manager https://lnkd.in/decUekMB 🔖 Google Cloud Secret Manager https://lnkd.in/dPHCQS2u 🔖 Azure Key Vault https://lnkd.in/dr2CQqQg 📱 𝐅𝐨𝐥𝐥𝐨𝐰 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs

▶️ List of all 🐬 Docker commands for DevOps Engineer, along with their usage: ⚡️Container Commands: 1. docker create [OPTIONS] IMAGE [COMMAND] [ARG...] - Create a new container from an image. 2. docker run [OPTIONS] IMAGE [COMMAND] [ARG...] - Run a command in a new container. 3. docker start [OPTIONS] CONTAINER [CONTAINER...] - Start one or more stopped containers. 4. docker stop [OPTIONS] CONTAINER [CONTAINER...] - Stop one or more running containers. 5. docker restart [OPTIONS] CONTAINER [CONTAINER...] - Restart one or more containers. 6. docker rm [OPTIONS] CONTAINER [CONTAINER...] - Remove one or more containers. 7. docker kill [OPTIONS] CONTAINER [CONTAINER...] - Kill one or more running containers. ⚡️Image Commands: 1. docker images [OPTIONS] [REPOSITORY[:TAG]] - List images. 2. docker pull [OPTIONS] NAME[:TAG|@DIGEST] - Pull an image or a repository from a registry. 3. docker push [OPTIONS] NAME[:TAG] - Push an image or a repository to a registry. 4. docker rmi [OPTIONS] IMAGE [IMAGE...] - Remove one or more images. 5. docker tag [OPTIONS] IMAGE REF - Create a tag TARGET_IMAGE that refers to SOURCE_IMAGE. 6. docker build [OPTIONS] PATH | URL | - - Build an image from a Dockerfile. 7. docker history [OPTIONS] IMAGE - Show the history of an image. ⚡️Volume Commands: 1. docker volume create [OPTIONS] [VOLUME] - Create a volume. 2. docker volume inspect [OPTIONS] VOLUME [VOLUME...] - Display detailed information on one or more volumes. 3. docker volume ls [OPTIONS] [FILTER] - List volumes. 4. docker volume rm [OPTIONS] VOLUME [VOLUME...] - Remove one or more volumes. 5. docker volume prune [OPTIONS] - Remove all unused local volumes. ⚡️Network Commands: 1. docker network create [OPTIONS] NETWORK - Create a network. 2. docker network connect [OPTIONS] NETWORK CONTAINER - Connect a container to a network. 3. docker network disconnect [OPTIONS] NETWORK CONTAINER - Disconnect a container from a network. 4. docker network inspect [OPTIONS] NETWORK [NETWORK...] - Display detailed information on one or more networks. 5. docker network ls [OPTIONS] [FILTER] - List networks. 6. docker network rm [OPTIONS] NETWORK [NETWORK...] - Remove one or more networks. ⚡️System Commands: 1. docker info [OPTIONS] - Display system-wide information. 2. docker version [OPTIONS] - Show the Docker version information. 3. docker system prune [OPTIONS] - Remove unused data. ⚡️Security Commands: 1. docker login [OPTIONS] [SERVER] - Log in to a Docker registry. 2. docker logout [OPTIONS] [SERVER] - Log out from a Docker registry. ⚡️Experimental Commands: 1. docker manifest [OPTIONS] COMMAND [ARG...] - Work with Docker image manifests. 2. docker swarm [OPTIONS] COMMAND [ARG...] - Work with Docker Swarm. 3. docker service [OPTIONS] COMMAND [ARG...] - Work with Docker services. ⚡️Other Commands: 1. docker exec [OPTIONS] CONTAINER COMMAND [ARG...] - Run a command in a running container. 2. docker logs [OPTIONS] CONTAINER - Fetch the logs of a container. 3. docker port [OPTIONS] CONTAINER PRIVATE_PORT - List port mappings or a specific mapping for the container. 4. docker top [OPTIONS] CONTAINER - Display the running processes of a container. 5. docker unpause [OPTIONS] CONTAINER [CONTAINER...] - Unpause all processes in one or more containers. 6. docker update [OPTIONS] CONTAINER [CONTAINER...] - Update configuration of one or more containers. 📱 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs

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A Dockerfile 🐬 is a text-based document that provides instructions for creating a container image. Let's walk through the basics of writing one: 1. Choose a Base Image: Start by specifying the base image you want to use. It serves as the foundation for your custom image. For example:

FROM node:14

2. Set the Working Directory: Use the WORKDIR instruction to define the working directory inside the container:

WORKDIR /usr/src/app

3. Copy Files: Use COPY or ADD to copy files from your local machine into the image:

COPY package\.json package-lock\.json \./

4. Install Dependencies: Run any necessary commands to install dependencies (e.g., using RUN npm install for Node.js):

RUN npm install

5. Expose Ports: Specify which ports your application will listen on using EXPOSE:

EXPOSE 3000

6. Define Startup Command: Finally, set the command that runs when the container starts:

CMD ["npm", "start"]

Remember, this is just a basic example. You can customize your Dockerfile based on your specific application and requirements.

For a hands-on tutorial, check out this Dockerfile tutorial from Docker's official documentation. [1] ➡️Reference links: [1] [2] [3] [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] 📱 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs

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🚀 Terraform Commands for DevOps Engineers 🌍 Mastering Terraform can greatly enhance your infrastructure management. Here’s a quick reference to essential Terraform commands: 1️⃣ terraform init - Initialize a Terraform working directory. 2️⃣ terraform validate - Check the configuration for syntax errors. 3️⃣ terraform plan - Generate and show an execution plan. 4️⃣ terraform apply - Apply the changes required to reach the desired state. 5️⃣ terraform destroy - Destroy the Terraform-managed infrastructure. 6️⃣ terraform show - Show the current state or a saved plan. 7️⃣ terraform output - Extract the value of an output variable from the state file. 8️⃣ terraform state - Advanced state management commands: - terraform state list - List resources in the state. - terraform state show - Show a resource in the state. - terraform state rm - Remove a resource from the state. 9️⃣ terraform fmt - Reformat configuration files to the canonical format. 1️⃣0️⃣ terraform taint - Manually mark a resource for recreation. 1️⃣1️⃣ terraform untaint - Manually unmark a resource as tainted. 1️⃣2️⃣ terraform import - Import existing infrastructure into your Terraform state. 1️⃣3️⃣ terraform refresh - Update the state file with the real infrastructure. 📘 Helpful Links: - Terraform Documentation: https://www.terraform.io/docs/index.html - Terraform Best Practices: https://www.terraform-best-practices.com

Keep this cheat sheet handy and automate your infrastructure with confidence! 💡

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

Basic 📱 Git Flow in DevOps ♾ CI-CD! 1️⃣. Developer Creates Feature Branch: The developer creates a new feature branch and is used to work on a new feature or a specific task. 2️⃣. Developer Writes Code: The developer writes the necessary code for the feature in their local development environment. 3️⃣. Developer Commits Changes: Once the developer is satisfied with the changes, they commit the changes to the feature branch in the local Git repository. 4️⃣. Developer Creates Pull Request: The developer pushes the committed changes by creating a pull request to merge the feature branch into the main branch. 5️⃣. Code Review by Team: The pull request initiates a code review process where team members review the changes. 6️⃣. Approval of Pull Request: After addressing any feedback and making necessary adjustments, the pull request is approved by the reviewers. 7️⃣. Merge to Main Branch: The approved pull request is merged into the main branch of the Git repository. 8️⃣. Triggers CI/CD Pipeline: This automation ensures that the changes are continuously integrated and deployed. 9️⃣. Then we follow the procedure for building and testing the code, deploying to staging env. Once the tests in the staging environment pass, a manual approval is required to deploy the changes to the production environment. Once the code is deployed to production env, the prod env is monitored using Prometheus to track the performance and health of the application. The collected metrics are visualized using Grafana. Finally alerts are configured. ❤️ 𝐅𝐨𝐥𝐥𝐨𝐰 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs

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➡️ 𝐃𝐨𝐜𝐤𝐞𝐫𝐟𝐢𝐥𝐞 𝐈𝐧𝐬𝐭𝐫𝐮𝐜𝐭𝐢𝐨𝐧𝐬: - FROM: Sets the base image. - RUN: Executes commands in the container. - MAINTAINER: Identifies the image creator. - LABEL: Adds metadata. - ADD: Copies files (supports URLs). - COPY: Copies files (no URLs). - VOLUME: Creates a shared mount point. - EXPOSE: Specifies listening port. - WORKDIR: Sets the working directory. - USER: Defines the user for processes. - STOPSIGNAL: Specifies stop signal. - ENTRYPOINT: Sets the start command. - CMD: Sets the default command. - ENV: Sets environment variables. ➡️ 𝐃𝐨𝐜𝐤𝐞𝐫 𝐑𝐮𝐧 𝐂𝐨𝐦𝐦𝐚𝐧𝐝𝐬: - --name: Names the container. - -v, --volume: Mounts a volume. - --network: Connects to a network. - -d, --detach: Runs in background. - -i, --interactive: Keeps STDIN open. - -t, --tty: Allocates a pseudo-TTY. - --rm: Auto-removes container on exit. - -e, --env: Sets environment variables. - --restart: Sets restart policy. ➡️ 𝐂𝐨𝐫𝐞 𝐃𝐨𝐜𝐤𝐞𝐫 𝐂𝐨𝐧𝐜𝐞𝐩𝐭𝐬: - Docker Image: Read-only snapshot of a container. - Docker Container: Executable package with software and dependencies. - Docker Client: Tool to interact with Docker. - Docker Daemon: Service managing Docker objects. - Docker Registry: Storage for Docker images. ✈️ 𝐅𝐨𝐥𝐥𝐨𝐰 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs