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

🌐 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

🌐 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

🔥 Terraform Free Videos :– 🔗 https://drive.google.com/drive/u/0/mobile/folders/1COG6x8YCEceHTai3w52h9suHZ2H0rHvF ❤️ Follow for more: @prodevopsguy ✉️ Join for DevOps DOCs: @devopsdocs

🔴 Architecture of a Kubernetes Cluster ☸️ A production-ready Kubernetes cluster is vastly complex. There are many non-negotiable such as High Availability, Fault Tolerance, data backups and durability requirements. Its architecture is divided into the Control Plane and Data Plane. This is what they do 👇

➡️ DATA PLANE The part of the cluster where all compute resources reside. This is where ultimately all your container applications run.

1️⃣Nodes The worker machines that actually run container workloads. These could be EC2 servers (or other cloud provider equivalents), bare-metal servers or even just your personal computer.

2️⃣Pods The smallest unit of compute that you can deploy in K8s. A Pod contains 1 or more containers running your application(s) and helper processes. A Pod runs inside a Node.

3️⃣Kubelet An agent that runs on every Node. It takes Pod specifications provided by the user and ensures that the Containers described in them are running and healthy.

4️⃣Kube-proxy Runs on every Node and manages network rules on the system to ensure network communication works smoothly between Pods and the outside world.

5️⃣Container Runtime Runs on all nodes and manages the lifecycle of container(s) deployed on them. Eg- Docker, CRI-O, etc.

➡️ CONTROL PLANE Does the administrative tasks of managing worker nodes, Pods and the cluster in general. It is basically the “brains” of the cluster that makes all decisions like scheduling, always steering the cluster towards the desired state (eg- spin up new pods in response to some pods going down to maintain the desired number of them).

🔢Kube-apiserver Exposes the Kubernetes API to the user. When you make an API request to Kubernetes or use a client like Kubectl, you request is handled by kube-apiserver and passed on for further processing.

🔢Etcd A consistent and highly available Key-value store used by Kubernetes for storing all cluster data. You should have a strong backup strategy for this datastore as it tracks all state of the cluster.

🔢Scheduler Responsible for placing Pods on to Nodes in the most optimal way possible. When a new Pod is requested, the scheduler looks for a suitable Node to run it in. Takes many different factors into consideration while scheduling, such as resource requirements, priority, user-specified criteria, etc.

🔢Controller Manager Runs Controllers. A Controller is a process that always steers the system toward a desired state. Eg- A Node controller monitors and responds when nodes go down.

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

❤️‍🔥 𝐅𝐑𝐄𝐄 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐂𝐨𝐮𝐫𝐬𝐞𝐬 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 🥳 📌 1. GIT 🔗 https://t.co/tjoVxVoKk4 📌 2. Linux 🔗 https://t.co/c9pQVISTEl 📌 3. DevOps 🔗 https://t.co/5tjVYs8aY8 📌 4. CI/CD 🔗 https://t.co/Xv1E1ctx1v 📌 5. Docker 🔗 https://t.co/8p2scaojdh 📌 6. Kubernetes 🔗 https://t.co/MFFlBdjc5J 📌 7. GitHub 🔗 https://t.co/x9XZrjBH7k 📌 8. AWS 🔗 https://t.co/tNagHxnATP 📌 9. Azure 🔗 https://t.co/cORm4so14M 📌 10. GCP 🔗 https://t.co/NlqXyDNwHb 📌 11. Serverless 🔗 https://t.co/wWcvkEapYE 📌 12. Jenkins 🔗 https://t.co/e9dYJeshn7 📌 13. Ansible 🔗 https://t.co/64NgUU1f7x 📌 14. VirtualBox & vSphere 🔗 https://t.co/h9M0DwyZKA 🔵 Follow for more: @prodevopsguy

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➡️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!!!

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📌 https://harshhaa.hashnode.dev/kubernetes-for-everyone 🔗 More DevOps Projects : HERE 🟩🟩🟩🟩🟩🟩🟩🟩🟩🟩🟩🟩 Follow 🍩 Like 👍 Share 👍 Comment Your thoughts 💬 ⭐️ 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy & @devopsdocs 𝗳𝗼𝗿 𝗺𝗼𝗿𝗲 𝘀𝘂𝗰𝗵 𝗰𝗼𝗻𝘁𝗲𝗻𝘁 𝗮𝗿𝗼𝘂𝗻𝗱 𝗰𝗹𝗼𝘂𝗱 & 𝗗𝗲𝘃𝗢𝗽𝘀!!!

🔴 𝐓𝐨𝐩𝐢𝐜 - Safely Through the Gates: SSH Tunneling to connect multiple remote AWS private resources.😵 Securely accessing private resources hosted on AWS is paramount. In this post, we'll explore how to securely access multiple private RDS instances, EKS, EC2, etc. on AWS using SSH tunneling.⚙️ ➡️ 𝗦𝗲𝘁𝘁𝗶𝗻𝗴 𝗨𝗽 𝗦𝗦𝗛 𝗖𝗼𝗻𝗳𝗶𝗴: To streamline the process, we can leverage SSH config files. Below is an example SSH config file tailored for accessing multiple private instances through a bastion host: 𝚌𝚊𝚝 ~/.𝚜𝚜𝚑/𝚌𝚘𝚗𝚏𝚒𝚐 𝙷𝚘𝚜𝚝 𝚛𝚍𝚜_𝚝𝚞𝚗𝚗𝚎𝚕_𝚌𝚘𝚖𝚋𝚒𝚗𝚎𝚍 𝚄𝚜𝚎𝚛 𝚞𝚋𝚞𝚗𝚝𝚞 𝙷𝚘𝚜𝚝𝚗𝚊𝚖𝚎 <𝚒𝚗𝚜𝚝𝚊𝚗𝚌𝚎 𝚒𝚍 𝚘𝚏 𝚋𝚊𝚜𝚝𝚒𝚘𝚗 𝚑𝚘𝚜𝚝> 𝙸𝚍𝚎𝚗𝚝𝚒𝚝𝚢𝙵𝚒𝚕𝚎 ~/.𝚜𝚜𝚑/𝚋𝚊𝚜𝚝𝚒𝚘𝚗-𝚑𝚘𝚜𝚝.𝚙𝚎𝚖 𝚁𝚎𝚚𝚞𝚎𝚜𝚝𝚃𝚃𝚈 𝚗𝚘 𝙿𝚛𝚘𝚡𝚢𝙲𝚘𝚖𝚖𝚊𝚗𝚍 𝚜𝚑 -𝚌 "𝚊𝚠𝚜 𝚜𝚜𝚖 𝚜𝚝𝚊𝚛𝚝-𝚜𝚎𝚜𝚜𝚒𝚘𝚗 --𝚙𝚛𝚘𝚏𝚒𝚕𝚎 𝚊𝚠𝚜-𝚙𝚛𝚘𝚏𝚒𝚕𝚎 --𝚛𝚎𝚐𝚒𝚘𝚗 𝚞𝚜-𝚎𝚊𝚜𝚝-𝟷 --𝚝𝚊𝚛𝚐𝚎𝚝 %𝚑 --𝚍𝚘𝚌𝚞𝚖𝚎𝚗𝚝-𝚗𝚊𝚖𝚎 𝙰𝚆𝚂-𝚂𝚝𝚊𝚛𝚝𝚂𝚂𝙷𝚂𝚎𝚜𝚜𝚒𝚘𝚗 --𝚙𝚊𝚛𝚊𝚖𝚎𝚝𝚎𝚛𝚜 '𝚙𝚘𝚛𝚝𝙽𝚞𝚖𝚋𝚎𝚛=%𝚙'" 𝙻𝚘𝚌𝚊𝚕𝙵𝚘𝚛𝚠𝚊𝚛𝚍 𝟻𝟺𝟹𝟷 𝚍𝚎𝚟-𝚍𝚋-𝚑𝚘𝚜𝚝𝚗𝚊𝚖𝚎:𝟻𝟺𝟹𝟸 𝙻𝚘𝚌𝚊𝚕𝙵𝚘𝚛𝚠𝚊𝚛𝚍 𝟻𝟺𝟹𝟸 𝚚𝚊-𝚍𝚋-𝚑𝚘𝚜𝚝𝚗𝚊𝚖𝚎:𝟻𝟺𝟹𝟸 𝙻𝚘𝚌𝚊𝚕𝙵𝚘𝚛𝚠𝚊𝚛𝚍 𝟻𝟺𝟹𝟹 𝚎𝚔𝚜-𝚎𝚗𝚍𝚙𝚘𝚒𝚗𝚝:𝟺𝟺𝟹 ➡️ 𝗘𝘅𝗽𝗹𝗮𝗻𝗮𝘁𝗶𝗼𝗻 𝗼𝗳 𝗟𝗼𝗰𝗮𝗹𝗙𝗼𝗿𝘄𝗮𝗿𝗱 𝗥𝘂𝗹𝗲𝘀: Each LocalForward rule defines a port forwarding configuration from a local port on your machine to a specific RDS instance: Port 5431 forwards to the development database. Port 5432 forwards to the QA database. Port 5433 forwards to the EKS cluster. ➡️ 𝗛𝗼𝘄 𝘁𝗼 𝗨𝘀𝗲 𝘁𝗵𝗲 𝗦𝗦𝗛 𝗖𝗼𝗻𝗳𝗶𝗴 𝗙𝗶𝗹𝗲: Using the provided SSH config file is straightforward. Simply save the configuration to your ~/.ssh/config file and replace ~/.ssh/bastion-host.pem with the path to your SSH private key file. Once configured, you can initiate SSH connections to the remote private instances by running "ssh rds_tunnel_combined" command ➡️ 𝗕𝗲𝗻𝗲𝗳𝗶𝘁𝘀 𝗮𝗻𝗱 𝗨𝘀𝗲 𝗖𝗮𝘀𝗲𝘀: Enhanced security: All connections are encrypted, minimizing the risk of data interception. Simplified access: Users can easily connect to multiple RDS instances with a single command. Flexible configuration: The SSH config file allows for easy customization of port forwarding rules to suit different use cases. 🎄 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy & @devopsdocs 𝗳𝗼𝗿 𝗺𝗼𝗿𝗲 𝘀𝘂𝗰𝗵 𝗰𝗼𝗻𝘁𝗲𝗻𝘁 𝗮𝗿𝗼𝘂𝗻𝗱 𝗰𝗹𝗼𝘂𝗱 & 𝗗𝗲𝘃𝗢𝗽𝘀!!!

As Docker 🐬 adoption accelerates, developing core Docker literacy is becoming essential for developers, data scientists, QA engineers, and other technical roles. Regardless of your technical role, grasping these fundamental Docker concepts and commands is crucial: 🟡 𝗜𝗺𝗮𝗴𝗲 𝗠𝗮𝗻𝗮𝗴𝗲𝗺𝗲𝗻𝘁 - Use 𝚍𝚘𝚌𝚔𝚎𝚛 𝚋𝚞𝚒𝚕𝚍 to create images from Dockerfiles, the blueprint for containers. - 𝚍𝚘𝚌𝚔𝚎𝚛 𝚙𝚞𝚕𝚕 to download pre-built images from registries like Docker Hub. - 𝚍𝚘𝚌𝚔𝚎𝚛 𝚙𝚞𝚜𝚑 to upload your images to remote registries. - 𝚍𝚘𝚌𝚔𝚎𝚛 𝚒𝚖𝚊𝚐𝚎𝚜 lists locally stored images. - 𝚍𝚘𝚌𝚔𝚎𝚛 𝚛𝚖𝚒 removes unwanted images. - 𝚍𝚘𝚌𝚔𝚎𝚛 𝚝𝚊𝚐 tags images for organizational purposes. 🟡 𝗖𝗼𝗻𝘁𝗮𝗶𝗻𝗲𝗿 𝗟𝗶𝗳𝗲𝗰𝘆𝗰𝗹𝗲 - 𝚍𝚘𝚌𝚔𝚎𝚛 𝚛𝚞𝚗 launches a container from an image. - 𝚍𝚘𝚌𝚔𝚎𝚛 𝚜𝚝𝚘𝚙 and 𝚍𝚘𝚌𝚔𝚎𝚛 𝚔𝚒𝚕𝚕 halt running containers gracefully or forcibly. - 𝚍𝚘𝚌𝚔𝚎𝚛 𝚛𝚎𝚜𝚝𝚊𝚛𝚝 restarts a stopped container. - 𝚍𝚘𝚌𝚔𝚎𝚛 𝚛𝚎𝚗𝚊𝚖𝚎 to rename existing containers. - 𝚍𝚘𝚌𝚔𝚎𝚛 𝚕𝚘𝚐𝚜 prints logs of a container. - 𝚍𝚘𝚌𝚔𝚎𝚛 𝚎𝚡𝚎𝚌 runs commands interactively in a container. 🟡 𝗡𝗲𝘁𝘄𝗼𝗿𝗸𝗶𝗻𝗴 𝗮𝗻𝗱 𝗦𝘁𝗼𝗿𝗮𝗴𝗲 - 𝚍𝚘𝚌𝚔𝚎𝚛 𝚗𝚎𝚝𝚠𝚘𝚛𝚔 manages custom networks containers connect to. - 𝚍𝚘𝚌𝚔𝚎𝚛 𝚟𝚘𝚕𝚞𝚖𝚎 creates sharable storage volumes containers can mount. 🟡 𝗠𝗮𝗶𝗻𝘁𝗲𝗻𝗮𝗻𝗰𝗲 - 𝚍𝚘𝚌𝚔𝚎𝚛 𝚜𝚢𝚜𝚝𝚎𝚖 𝚙𝚛𝚞𝚗𝚎 cleans up unused containers, images, volumes, etc. - 𝚍𝚘𝚌𝚔𝚎𝚛 𝚛𝚖 deletes stopped containers. - 𝚍𝚘𝚌𝚔𝚎𝚛 𝚒𝚗𝚜𝚙𝚎𝚌𝚝 shows in-depth info on a container. - 𝚍𝚘𝚌𝚔𝚎𝚛 𝚜𝚝𝚊𝚝𝚜 provides real-time container resource usage stats. - 𝚍𝚘𝚌𝚔𝚎𝚛 𝚙𝚜 lists running containers. 🟡 𝗗𝗼𝗰𝗸𝗲𝗿 𝗖𝗼𝗺𝗽𝗼𝘀𝗲 - 𝚍𝚘𝚌𝚔𝚎𝚛-𝚌𝚘𝚖𝚙𝚘𝚜𝚎 𝚞𝚙 starts an multi-container app from a compose file. - 𝚍𝚘𝚌𝚔𝚎𝚛-𝚌𝚘𝚖𝚙𝚘𝚜𝚎 𝚍𝚘𝚠𝚗 stops and destroys the resources. - 𝚍𝚘𝚌𝚔𝚎𝚛-𝚌𝚘𝚖𝚙𝚘𝚜𝚎 𝚕𝚘𝚐𝚜 aggregates logs from the containers. 🟡 𝗔𝗱𝗱𝗶𝘁𝗶𝗼𝗻𝗮𝗹 𝗖𝗼𝗺𝗺𝗮𝗻𝗱𝘀 - 𝚍𝚘𝚌𝚔𝚎𝚛 𝚌𝚙 copies files between host and containers. - 𝚍𝚘𝚌𝚔𝚎𝚛 𝚍𝚒𝚏𝚏 shows filesystem changes in a container. - 𝚍𝚘𝚌𝚔𝚎𝚛 𝚝𝚘𝚙 displays running processes in a container. - 𝚍𝚘𝚌𝚔𝚎𝚛 𝚜𝚎𝚊𝚛𝚌𝚑 searches for images on Docker Hub.

Developing familiarity with these core Docker capabilities empowers you to containerize applications and streamline development workflows.

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

☄️ Top 79 Linux commands that are commonly used in DevOps: ♾ 1. ls: List directory contents 2. cd: Change directory 3. pwd: Print working directory 4. mkdir: Create a directory 5. touch: Create a file 6. cp: Copy files and directories 7. mv: Move or rename files and directories 8. rm: Remove files and directories 9. find: Search for files and directories 10. grep: Search for patterns in files 11. cat: Concatenate and display files 12. less: View file contents page by page 13.head: Display the first lines of a file 14. tail: Display the last lines of a file 15. vi/vim: Text editor 16. nano: Text editor 17. tar: Archive and compress files 18. gzip: Compress files 19. gunzip: Decompress files 20. wget: Download files from the web 21. curl: Transfer data to or from a server 22. ssh: Secure shell remote login 23. scp: Securely copy files between hosts 24. chmod: Change file permissions 25. chown: Change file ownership 26. chgrp: Change group ownership 27. ps: Display running processes 28. top: Monitor system resources and processes 29. kill: Terminate processes 30. df: Display disk space usage 31. du: Estimate file and directory space usage 32. free: Display memory usage 33. uname: Print system information 34. ifconfig: Configure network interfaces 35. ping: Test network connectivity 36. netstat: Network statistics 37. iptables: Firewall administration 38. systemctl: Manage system services 39. journalctl: Query the system journal 40. crontab: Schedule cron jobs 41. useradd: Create a user account 42. passwd: Change user password 43. su: Switch user 44. sudo: Execute a command as another user 45. usermod: Modify user account 46. groupadd: Create a group 47. groupmod: Modify a group 48. id: Print user and group information 49. ssh-keygen: Generate SSH key pairs 50. rsync: Synchronize files and directories 51. diff: Compare files line by line 52. patch: Apply a patch to files 53. tar: Extract files from an archive 54. curl: Perform HTTP requests 55. nc: Netcat - networking utility 56. wget: Download files from the web 57. whois: Lookup domain registration details 58. dig: DNS lookup utility 59. sed: Stream editor for text manipulation 60. awk: Pattern scanning and processing language 61. sort: Sort lines in a text file 62. cut: Extract sections from lines of files 63. wc: Word, line, character, and byte count 64. tee: Redirect output to multiple files or commands 65. history: Command history 66. source: Execute commands from a file in the current shell 67. alias: Create command aliases 68. ln: Create links between files 69. uname: Print system information 70. lsof: List open files and processes 71. mkfs: Create a file system 72. mount: Mount a file system 73. umount: Unmount a file system 74. ssh-agent: Manage SSH keys in memory 75. grep: Search for patterns in files 76. tr: Translate characters 77. cut: Select portions of lines from files 78. paste: Merge lines of files 79. uniq: Report or omit repeated lines ✈️ 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝗳𝗼𝗿 𝗺𝗼𝗿𝗲 𝘀𝘂𝗰𝗵 𝗰𝗼𝗻𝘁𝗲𝗻𝘁 𝗮𝗿𝗼𝘂𝗻𝗱 𝗰𝗹𝗼𝘂𝗱 & 𝗗𝗲𝘃𝗢𝗽𝘀!!!

🚀 Unlocking Success with Microservices: 9 Proven Practices! 🚀 Embark on the journey of microservices development armed with these golden rules: 📦 Separate data storage for each microservice - Clean, efficient, and scalable! 📝 Maintain code maturity across the board - Consistency is key to seamless integration! 🔨 Tailored builds for each microservice - Precision and optimization at every step! 🎯 Single responsibility per microservice - Clarity breeds efficiency! 🚀 Containerize for deployment - Flexibility and portability in the cloud era! 🌐 Stateless service design - Embrace agility and resilience! 💡 Embrace domain-driven design - Align your architecture with real-world scenarios! 📺 Harness the power of micro frontends - Amplify user experience and productivity! 🤖 Master the art of orchestrating microservices - Achieve harmony in your ecosystem! 🎄 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy & @devopsdocs 𝗳𝗼𝗿 𝗺𝗼𝗿𝗲 𝘀𝘂𝗰𝗵 𝗰𝗼𝗻𝘁𝗲𝗻𝘁 𝗮𝗿𝗼𝘂𝗻𝗱 𝗰𝗹𝗼𝘂𝗱 & 𝗗𝗲𝘃𝗢𝗽𝘀!!!