📢 Microsoft Azure offers a wide range of services across different categories. Here are some popular ones:


1. Azure AI Services: These include capabilities like anomaly detection, language understanding, and custom vision models[1].
2. Azure Machine Learning: An enterprise-grade service for end-to-end machine learning lifecycle[1].
3. Azure Databricks: Designed for AI with Apache Spark™-based analytics[1].
4. Azure Open Datasets: A cloud platform to host and share curated open datasets for machine learning models[1].
5. Azure App Service: A fully managed platform for building, deploying, and scaling web apps[2].
6. Azure Functions: Serverless compute service for event-driven applications[2].
7. Azure SQL Database: Managed relational database service[2].
8. Azure Cosmos DB: Globally distributed, multi-model database service[2].
9. Azure Kubernetes Service (AKS): Managed Kubernetes container orchestration service[2].
10. Azure Virtual Machines: Infrastructure as a Service (IaaS) for scalable compute resources[2].

Remember, there are over 200 Azure services, so this is just a glimpse! Feel free to explore more based on your specific needs. 😊🚀 [1] [2]

➡️Reference links: [1] [2] [3] [4] [5] [6] [7] [8]


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

Unlock the Power of Jenkins Shared Libraries 🚀

- Jenkins Shared Libraries are a powerful feature that allows us to define and store reusable pipeline code in external repositories. It's a centralized codebase for our Jenkins pipelines, promoting consistency, maintainability, and collaboration within our team.

➡️There are many benefits to using it such as:

- Code Reusability
- Centralized Code Management
- Consistency
- Collaboration
- Avoid Duplicity

Implementing Jenkins Shared Library can take our CI/CD processes to the next level. This is worth exploring if you're looking to streamline your DevOps workflows.


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

Top 10 ☁️ AWS cloud services used by DevOps engineer and Explained in detailed

🌐 ➡️ https://cloud.prodevopsguy.xyz/top-10-aws-cloud-services-used-by-devops-engineer-and-explained-in-detailed


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

Top 10 ☁️ Azure cloud services used by DevOps engineer and Explained in detailed

🌐 ➡️ https://cloud.prodevopsguy.xyz/top-10-azure-cloud-services-for-every-devops-engineer


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

Top 10 ☁️ Google Cloud Services for Every DevOps Engineer 🚀

🖥 https://cloud.prodevopsguy.xyz/top-10-google-cloud-services-for-every-devops-engineer


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

🐬 Docker Container Commands for a DevOps Engineer

The below illustration shows some common container commands and their syntax 👇

1. 🏗 Creates a container from an image

docker run -it --name nginx nginx

2. 🚀 Begins a Docker container

docker start nginx

3. 🔄 Restarts a Docker container.

docker restart nginx

4. ⏸ Temporarily halts a container.

docker pause nginx

5. ▶️ Resumes a paused container.

docker unpause nginx

6. 🛑 Ends a running Docker container.

docker stop nginx

7. ❌ Forcefully stops a running container

docker kill nginx

8. 📊 Lists Docker containers.

docker ps

9. 🖥 Accesses a container's shell.

docker exec -it nginx /bin/bash

10. 📝 Connects to a running container.

docker attach nginx

11. 📜 Views container logs.

docker logs nginx

12. 🔄 Change a container's name.

docker rename old-name new-name

13. 🔍 Retrieves container info.

docker inspect nginx

14. 📂 Copies files to/from a container.

docker cp nginx:/container-path/file.txt /local-path

15. 🗑 Deletes a container.

docker rm nginx

These container commands are essential for managing containerized applications, whether for development, testing, or production deployment, as they enable efficient control and manipulation of container instances.


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

🌐 Mastering Git commands is essential for efficient collaboration and version control in software development. 🛠

Whether you're a beginner or seasoned developer, understanding Git basics is a must!


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

⚙️ 100 Kubernetes Commands With Examples


🦠 The Kubernetes command-line tool, kubectl—though extremely helpful—is flavored with numerous commands with several options. Searching for the right command or syntax can be like finding a needle in a haystack.

⛔ That’s why, we have compiled 100 essential kubectl commands with code examples in this article to help you streamline your Kubernetes management tasks.

𝑓𝑜𝑟 𝑚𝑜𝑟𝑒 𝑖𝑛𝑓𝑜, 𝑦𝑜𝑢 𝑐𝑎𝑛 𝑐ℎ𝑒𝑐𝑘 𝑡ℎ𝑖𝑠 𝑙𝑖𝑛𝑘:
❤️‍🔥 https://prodevopsguy.site/kubernetes-commands-with-examples


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

Top 100 ♾ DevOps Interview Questions and Answers (Beginners to Advanced)

🖥 https://blog.prodevopsguy.xyz/top-100-devops-interview-questions-and-answers


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

🚀 Essential OpenShift Commands for DevOps Engineers 🚀


🔧 Managing Projects and Namespaces

- Create a new project:

  oc new-project <project-name>
  

- Switch to a project:

  oc project <project-name>
  

- Delete a project:

  oc delete project <project-name>
  

🔧 Working with Pods

- List all pods:

  oc get pods
  

- Describe a specific pod:

  oc describe pod <pod-name>
  

- Delete a pod:

  oc delete pod <pod-name>
  

🔧 Deployments and Builds

- Deploy a new application:

  oc new-app <image-name>
  

- View deployment status:

  oc status
  

- Start a new build:

  oc start-build <build-config-name>
  

🔧 Services and Routes

- List all services:

  oc get services
  

- Create a new route:

  oc expose svc/<service-name>
  

- Get route details:

  oc get route <route-name>
  

🔧 ConfigMaps and Secrets

- Create a ConfigMap:

  oc create configmap <configmap-name> --from-literal=<key>=<value>
  

- Create a Secret:

  oc create secret generic <secret-name> --from-literal=<key>=<value>
  

- List all ConfigMaps and Secrets:

  oc get configmaps
  oc get secrets
  

🔧 Logs and Debugging

- View pod logs:

  oc logs <pod-name>
  

- Open a terminal session in a pod:

  oc rsh <pod-name>
  

- Get events in the project:

  oc get events
  

🔧 Access Control

- Add a user to a project:

  oc adm policy add-role-to-user <role> <user> -n <project-name>
  

- Get current user details:

  oc whoami
  

Keep these commands handy to streamline your DevOps processes in OpenShift! 🌟


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

Getting started with Azure is a great choice for cloud computing. Here are some steps to help you begin:


1. Create an Azure Account:
Go to the Azure free account page and click "Start free."
Sign in using your Microsoft or GitHub account.
Provide your details (name, email, contact number) and verify your identity.
Review and accept the agreement and privacy statement.


2. Explore Azure Services:
Visit the Azure portal.
Use the search bar to find the Quickstart Center or select it from the All services menu.
In the Quickstart Center, explore the tabs:

Get started: Learn the basics of Azure through demos and live Q&A sessions.
Projects and guides: Choose projects and follow step-by-step guides.
Take an online course: Dive deeper into specific topics.


3. Watch How-To Videos:
Check out the Azure videos to learn how to work with Azure services in the portal.


4. Learn from Documentation and Training:
Read the Azure developer guide.
Access Azure documentation, example code, and tutorials for all services.
Follow the Azure Fundamentals online learning path.


5. Start Building:
Create your first solution in Azure using the Azure Quickstart Center.
Explore options like creating virtual machines, building web apps, using Azure SQL Database, and integrating AI services.

Remember, you can enjoy popular Azure services free for 12 months, with more than 55 services free always, and a $200 credit in your first 30 days. Happy exploring! 🚀🌐

➡️Reference links: [1] [2] [3] [4] [5] [6] [7]



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

🚀 The Ultimate DevOps Bootcamp Program 2024 Edition by ProDevOpsGuy 🚀


➡️ Bootcamp Program Link: https://blog.prodevopsguy.xyz/the-ultimate-devops-bootcamp-2024-pack-by-prodevopsguy

➡️ Complete DevOps Bootcamp Syllabus: https://blog.prodevopsguy.xyz/the-ultimate-devops-bootcamp-syllabus


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

👍 Multi-Stage Build Images used in CICD ♾

➡️ Every microservice should be its own separate container. If you only use a single-stage Docker build, you’re probably missing out on some powerful features of the build process. On the other hand, a multi-stage Docker build has many advantages over a single-stage build for deploying microservices.

➡️ Some Advantages are :
- Optimizes the overall size of the Docker image
- Removes the burden of creating multiple Dockerfiles for different stages
- Easy to debug a particular build stage
- Able to use the previous stage as a new stage in the new environment
- Ability to use the cached image to make the overall process quicker
- Reduces the risk of vulnerabilities found as the image size becomes smaller with multi-stage builds


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

🌟 Different types of DevOps ♾ and Cloud ☁️ Roles and Their Activities 🌟

🖥 https://blog.prodevopsguy.xyz/different-types-of-devops-and-cloud-roles-and-their-activities


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

🔥 DevOps Project-20: Azure DevOps pipeline + Terraform Deployment Tutorial ♾


🔗 Project Link: HERE

🔄 Project Overview :-
This guide will cover everything required to deploy an example Azure Service Bus instance via Terraform and ADO.

👉 In addition to creating an example pipeline, we'll also add enhanced capabilities, including -
✅ Hosting the Terraform backend state on Azure blob storage
✅ Creating a deployment Service Principal + setting RBAC permissions on the Azure subscription
✅ Create a multi-stage ADO pipeline with an approval step
✅ Demonstrating how we can scale with multiple deployments


❤️‍🔥 Share with friends and colleagues ❤️‍🔥

📣 Note: Fork this Repository 🧑‍💻 for upcoming future projects, Every week releases new Project.


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

⭐️ https://roadmap.sh/devops


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

Horizontal vs Vertical Scaling 🚀


➡️ Horizontal Scaling (Scaling Out)
Instead of upgrading a single machine, we add more machines or servers to share the load.

✅ Some benefits of horizontal scaling are: helps us to enhance reliability (no single point of failure), better load distribution, simple to implement, costs less, fewer points of downtime.


➡️ Vertical Scaling (Scaling Up)
We upgrade our existing servers/machines with more powerful hardware such as more memory, CPU, storage, etc.

✅ Some benefits of vertical scaling are: are simple to manage (fewer servers to handle), faster performance for specific tasks, and no need to reconfigure systems for multiple servers, less complicated maintenance.


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

Monitor Data Transfer with Pipe Viewer (pv) 🚀

Imagine migrating a website and manually transferring data from a local SQL file (around 450MB) to a new MySQL database hosted on a managed service like RDS.

We can use the Pipe Viewer (pv) utility to track the progress.

- pv, or Pipe Viewer, is a command-line tool that allows you to monitor data transfer progress within your terminal.
- pv can be inserted into any data transfer pipeline between two processes.

➡️This provides valuable insights such as:
- Transfer speed
- Elapsed time
- Completion percentage
- Estimated time remaining

𝗘𝘅𝗮𝗺𝗽𝗹𝗲: Here's a command demonstrating how to use pv during an import:

pv backup.sql | mysql -h rds-amazonaws-com -u <user-name> -p <db-name>

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

📣 Docker 🐬 basics for beginners


🖥 Let's learn how we can develop, deploy and run applications easily with Docker!

➡️If you Google Docker, you will find that Docker is a software platform that uses an OS-level virtualization to create self-contained containers.
➡️You may have created multiple Virtual Machines with Oracle VM or Vagrant before. Docker is something like that (but better, but more about that later).
➡️With Docker, we select an image (think about Docker images as recipes) and download it. Then, we create an instance of that image or container, pretty similar to a Virtual Machine.

𝑓𝑜𝑟 𝑚𝑜𝑟𝑒 𝑖𝑛𝑓𝑜, 𝑦𝑜𝑢 𝑐𝑎𝑛 𝑐ℎ𝑒𝑐𝑘 𝑡ℎ𝑖𝑠 𝑙𝑖𝑛𝑘:
🖱https://prodevopsguy.site/docker-basics-for-beginners


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

DevOps ♾ Real-time Day to Day activities that every DevOps Engineer should Know


➡️The daily activities of a DevOps engineer can vary depending on the specific organization, project, and team structure. However, here are some common tasks and responsibilities that DevOps engineers typically engage in on a day-to-day basis:

𝑓𝑜𝑟 𝑚𝑜𝑟𝑒 𝑖𝑛𝑓𝑜, 𝑦𝑜𝑢 𝑐𝑎𝑛 𝑐ℎ𝑒𝑐𝑘 𝑡ℎ𝑖𝑠 𝑙𝑖𝑛𝑘:
🖥 https://prodevopsguy.site/devops-day-to-day-activities-by-devops-engineer


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