Nareshkar @DevOpsThink

@A_K_Mandhan 007

@Vamsivardhan_2 Orey endi ra edi

My all time Top 50 BGM Collection from @arrahman sir that you should never ignore.. [ A Thread on ARR BGMs ] ⬇️⬇️

@IncomeTaxIndia Thank you so much for your response, could you please expedite this issue as the deadline is nearing?

माँ वैष्णो देवी , कटरा 🔱✨️

Start Githubing boys

@Python_Dv 16

Awesome

Rakesh Jain @devops_tech

3 years ago

Kubernetes Tips! 15 kubernetes tips and tricks every Kubernetes Admin should be aware of 👇⚓️

7 54 241 42K 273

@RealBenjizo 16/3 = reminder is 1

@RealBenjizo Here len function return the number of strings in the set, the answer is a. 2

@ClearPyCode Answer is D, the -1 calculates in reverse order

Causal understanding of water displacement by a crow

🧵 DevOps Learning Path for Beginners 👇 For individuals starting out, having proficiency in the following areas is recommended: 1/7

@RealBenjizo Since set is unordered, don’t know

Forget all the police suspect chase scenes you know.

Kubernetes: Kubectl is CRAZY simple⚡ yet very few use it effectively. So, here are 7 joyful, less used, kubectl commands that makes your Kubernetes life easy and fun! ☺️ kubectl top node Displays resource utilization (CPU/Memory/Storage) for nodes. Pinpoints potential node bottlenecks. kubectl top pod - Reveals resource utilization (CPU/Memory/Storage) for pods. - Flags potential pod performance issues. kubectl logs POD_NAME [-c CONTAINER_NAME] [flags] - Fetches pod logs. - Aids in pod troubleshooting and real-time insight. kubectl describe RESOURCE_TYPE RESOURCE_NAME [flags] - Offers detailed info on a Kubernetes resource. - Provides a deep dive into resource attributes. kubectl edit RESOURCE_TYPE RESOURCE_NAME [flags] - Opens an editor to modify Kubernetes resource definitions. - Streamlines resource adjustments without recreation. kubectl exec POD_NAME [-c CONTAINER_NAME] — COMMAND - Executes commands within a pod. - Simplifies pod issue diagnostics through command execution. kubectl port-forward POD_NAME LOCAL_PORT:REMOTE_PORT [flags] - Directs a pod's port to your local machine. - Access pod applications from your local device. That's it for today. If this is useful, do a Repost. It really helps ♻ Follow me Mutha Nagavamsi for simplified #Kubernetes , #tech , #devops content. You can find me on Medium. Just search for my name on Google. Before you leave, don't forget to SMILE 😁 Bonus: 🥳 kubectl proxy -p 8001 → This would start a proxy on port 8001 that forwards requests to the Kubernetes API server. → You can then access the API server using the proxy, by making requests to localhost:8001

Docker Architecture and Components 1. Docker Daemon (`dockerd`): - 𝗥𝗼𝗹𝗲: Manages Docker containers on a system. - 𝗥𝗲𝘀𝗽𝗼𝗻𝘀𝗶𝗯𝗶𝗹𝗶𝘁𝗶𝗲𝘀: Building, running, and managing containers. 2. Docker Client (`docker`): - 𝗥𝗼𝗹𝗲: Interface through which users interact with Docker. - 𝗖𝗼𝗺𝗺𝗮𝗻𝗱𝘀: build, pull, run, etc. 3. Docker Images: - 𝗗𝗲𝗳𝗶𝗻𝗶𝘁𝗶𝗼𝗻: Read-only templates used to create containers. - 𝗥𝗼𝗹𝗲: Serve as the basis for creating containers. - 𝗥𝗲𝗴𝗶𝘀𝘁𝗿𝘆/𝗛𝘂𝗯: A storage and distribution system for Docker images. 4. Docker Containers: - 𝗗𝗲𝗳𝗶𝗻𝗶𝘁𝗶𝗼𝗻: Runnable instances of Docker images. - 𝗥𝗼𝗹𝗲: Encapsulate the application and its environment. 5. Docker Registry: - 𝗥𝗼𝗹𝗲: Store Docker images. - 𝗣𝘂𝗯𝗹𝗶𝗰 𝗥𝗲𝗴𝗶𝘀𝘁𝗿𝘆: Docker Hub. - 𝗣𝗿𝗶𝘃𝗮𝘁𝗲 𝗥𝗲𝗴𝗶𝘀𝘁𝗿𝘆: Can be hosted by users. Docker Workflow A. Development Phase 1. 𝗪𝗿𝗶𝘁𝗲 𝗖𝗼𝗱𝗲: - Developers write code locally. 2. 𝗕𝘂𝗶𝗹𝗱 𝗗𝗼𝗰𝗸𝗲𝗿 𝗜𝗺𝗮𝗴𝗲: - 𝗗𝗼𝗰𝗸𝗲𝗿𝗳𝗶𝗹𝗲: A script with instructions to create a Docker image. - 𝗖𝗼𝗺𝗺𝗮𝗻𝗱: `docker build -t my-image .` 3. 𝗧𝗲𝘀𝘁 𝗟𝗼𝗰𝗮𝗹𝗹𝘆: - Run the application inside a Docker container locally. - 𝗖𝗼𝗺𝗺𝗮𝗻𝗱: `docker run my-image` B. Share/Deploy Phase 4. 𝗣𝘂𝘀𝗵 𝗜𝗺𝗮𝗴𝗲 𝘁𝗼 𝗥𝗲𝗴𝗶𝘀𝘁𝗿𝘆: - Push the Docker image to a registry (Docker Hub, AWS ECR, etc.). - 𝗖𝗼𝗺𝗺𝗮𝗻𝗱: `docker push my-image` 5. 𝗗𝗲𝗽𝗹𝗼𝘆 𝗼𝗻 𝗮 𝗦𝗲𝗿𝘃𝗲𝗿/𝗖𝗹𝘂𝘀𝘁𝗲𝗿: - Pull the Docker image from the registry. - 𝗖𝗼𝗺𝗺𝗮𝗻𝗱: `docker pull my-image` - Run the container on a server or a cluster (like Kubernetes). - 𝗖𝗼𝗺𝗺𝗮𝗻𝗱: `docker run my-image` C. CI/CD Integration 6. 𝗖𝗼𝗻𝘁𝗶𝗻𝘂𝗼𝘂𝘀 𝗜𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻 (𝗖𝗜): - Integrate code changes and build the Docker image. - Push the built image to a registry. 7. 𝗖𝗼𝗻𝘁𝗶𝗻𝘂𝗼𝘂𝘀 𝗗𝗲𝗽𝗹𝗼𝘆𝗺𝗲𝗻𝘁 (𝗖𝗗): - Deploy the Docker image from the registry to production environments. D. Scaling & Management 8. 𝗦𝗰𝗮𝗹𝗶𝗻𝗴: - Increase or decrease the number of running containers based on demand. 9. 𝗠𝗼𝗻𝗶𝘁𝗼𝗿𝗶𝗻𝗴 & 𝗟𝗼𝗴𝗴𝗶𝗻𝗴: - Track the performance and logs of running containers. 10. 𝗨𝗽𝗱𝗮𝘁𝗲 & 𝗥𝗼𝗹𝗹𝗯𝗮𝗰𝗸: - Deploy updates by pushing new Docker images to the registry and updating running containers. - Rollback to a previous version if needed by running containers from an older Docker image. E. Networking & Storage 11. 𝗡𝗲𝘁𝘄𝗼𝗿𝗸𝗶𝗻𝗴: - Manage communication between containers and the outside world. 12. 𝗦𝘁𝗼𝗿𝗮𝗴𝗲: - Manage data and persist state using volumes. Post credits to Brij kishore Pandey 🚨 Join Waiting List for New 10+ Hour Linux Course - bit.ly/44CI2bK #systemdesign #coding #interviewtips

#API Architecture Types

#Security #ipaddress