🖥 https://dev.to/prodevopsguytech/kubernetes-advanced-concepts-and-best-practices-4kb4


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

🔔 DevOps 👾 Most Useful Real-Time Interview Questions

➡️ DevOps is a dynamic field that requires a combination of skills in development and operations. In a DevOps interview, candidates often face a variety of questions covering technical aspects, problem-solving, and real-world scenarios.

➡️ Here, we delve into some of the most useful real-time interview questions for DevOps engineers, along with practical scenarios and solutions.

𝑓𝑜𝑟 𝑚𝑜𝑟𝑒 𝑖𝑛𝑓𝑜, 𝑦𝑜𝑢 𝑐𝑎𝑛 𝑐ℎ𝑒𝑐𝑘 𝑡ℎ𝑖𝑠 𝑙𝑖𝑛𝑘:
🖥 https://prodevopsguy.site/devops-most-useful-real-time-interview-questions


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

👉 𝐇𝐞𝐫𝐞 𝐚𝐫𝐞 𝐬𝐨𝐦𝐞 𝐜𝐨𝐦𝐦𝐨𝐧 𝐆𝐢𝐭 𝐞𝐫𝐫𝐨𝐫𝐬 𝐚𝐧𝐝 𝐭𝐡𝐞𝐢𝐫 𝐬𝐨𝐥𝐮𝐭𝐢𝐨𝐧𝐬 𝐢𝐧 𝐛𝐫𝐢𝐞𝐟:

🆘 1. 𝐄𝐫𝐫𝐨𝐫: "𝐟𝐚𝐭𝐚𝐥: 𝐧𝐨𝐭 𝐚 𝐠𝐢𝐭 𝐫𝐞𝐩𝐨𝐬𝐢𝐭𝐨𝐫𝐲"
  - 𝐒𝐨𝐥𝐮𝐭𝐢𝐨𝐧: Check that you are in the correct directory with a Git repository, or initialize a new repository using 𝐠𝐢𝐭 𝐢𝐧𝐢𝐭.

🆘 2. 𝐄𝐫𝐫𝐨𝐫: "𝐘𝐨𝐮𝐫 𝐛𝐫𝐚𝐧𝐜𝐡 𝐢𝐬 𝐚𝐡𝐞𝐚𝐝/𝐛𝐞𝐡𝐢𝐧𝐝 '𝐨𝐫𝐢𝐠𝐢𝐧/𝐦𝐚𝐬𝐭𝐞𝐫' 𝐛𝐲 𝐗 𝐜𝐨𝐦𝐦𝐢𝐭𝐬"
  - 𝐒𝐨𝐥𝐮𝐭𝐢𝐨𝐧: Use 𝐠𝐢𝐭 𝐩𝐮𝐥𝐥 to update your local branch with the remote branch or 𝐠𝐢𝐭 𝐩𝐮𝐬𝐡 to push your changes to the remote branch.

🆘 3. 𝐄𝐫𝐫𝐨𝐫: "𝐌𝐞𝐫𝐠𝐞 𝐜𝐨𝐧𝐟𝐥𝐢𝐜𝐭"
  - 𝐒𝐨𝐥𝐮𝐭𝐢𝐨𝐧: Resolve conflicts manually in the conflicting files, then use 𝐠𝐢𝐭 𝐚𝐝𝐝 to stage the changes, and commit them.

🆘 4. 𝐄𝐫𝐫𝐨𝐫: "𝐂𝐨𝐦𝐦𝐢𝐭 𝐧𝐨𝐭 𝐢𝐧 𝐬𝐲𝐧𝐜 𝐰𝐢𝐭𝐡 𝐭𝐡𝐞 𝐫𝐞𝐦𝐨𝐭𝐞 𝐛𝐫𝐚𝐧𝐜𝐡"
  - 𝐒𝐨𝐥𝐮𝐭𝐢𝐨𝐧: Use  𝐠𝐢𝐭 𝐩𝐮𝐥𝐥 to get the latest changes from the remote branch and then commit your changes.

🆘 5. 𝐄𝐫𝐫𝐨𝐫: "𝐏𝐞𝐫𝐦𝐢𝐬𝐬𝐢𝐨𝐧 𝐝𝐞𝐧𝐢𝐞𝐝 (𝐩𝐮𝐛𝐥𝐢𝐜𝐤𝐞𝐲)"
  - 𝐒𝐨𝐥𝐮𝐭𝐢𝐨𝐧: Ensure your SSH key is added to your SSH agent and associated with your Git account.

🆘 6. 𝐄𝐫𝐫𝐨𝐫: "𝐟𝐚𝐭𝐚𝐥: 𝐫𝐞𝐦𝐨𝐭𝐞 𝐨𝐫𝐢𝐠𝐢𝐧 𝐚𝐥𝐫𝐞𝐚𝐝𝐲 𝐞𝐱𝐢𝐬𝐭𝐬"
  - 𝐒𝐨𝐥𝐮𝐭𝐢𝐨𝐧: Update the remote's URL using 𝐠𝐢𝐭 𝐫𝐞𝐦𝐨𝐭𝐞 𝐬𝐞𝐭-𝐮𝐫𝐥 𝐨𝐫𝐢𝐠𝐢𝐧 <𝐧𝐞𝐰_𝐮𝐫𝐥>.

🆘 7. 𝐄𝐫𝐫𝐨𝐫: "𝐞𝐫𝐫𝐨𝐫: 𝐩𝐚𝐭𝐡𝐬𝐩𝐞𝐜 '𝐟𝐢𝐥𝐞' 𝐝𝐢𝐝 𝐧𝐨𝐭 𝐦𝐚𝐭𝐜𝐡 𝐚𝐧𝐲 𝐟𝐢𝐥𝐞(𝐬) 𝐤𝐧𝐨𝐰𝐧 𝐭𝐨 𝐠𝐢𝐭"
  - 𝐒𝐨𝐥𝐮𝐭𝐢𝐨𝐧: Check the spelling and case of the file name and ensure it's part of the repository.

🆘 8. 𝐄𝐫𝐫𝐨𝐫: "𝐂𝐨𝐦𝐦𝐢𝐭 𝐦𝐞𝐬𝐬𝐚𝐠𝐞 𝐦𝐢𝐬𝐬𝐢𝐧𝐠"
  - 𝐒𝐨𝐥𝐮𝐭𝐢𝐨𝐧: Provide a commit message using  𝐠𝐢𝐭 𝐜𝐨𝐦𝐦𝐢𝐭 -𝐦 "Your message here".

🆘 9. 𝐄𝐫𝐫𝐨𝐫: "𝐰𝐚𝐫𝐧𝐢𝐧𝐠: 𝐋𝐅 𝐰𝐢𝐥𝐥 𝐛𝐞 𝐫𝐞𝐩𝐥𝐚𝐜𝐞𝐝 𝐛𝐲 𝐂𝐑𝐋𝐅"
  - 𝐒𝐨𝐥𝐮𝐭𝐢𝐨𝐧: Configure line endings using .𝐠𝐢𝐭𝐚𝐭𝐭𝐫𝐢𝐛𝐮𝐭𝐞𝐬 or global Git configuration.

🆘 10. 𝐄𝐫𝐫𝐨𝐫: "𝐞𝐫𝐫𝐨𝐫: 𝐘𝐨𝐮𝐫 𝐥𝐨𝐜𝐚𝐥 𝐜𝐡𝐚𝐧𝐠𝐞𝐬 𝐭𝐨 𝐭𝐡𝐞 𝐟𝐨𝐥𝐥𝐨𝐰𝐢𝐧𝐠 𝐟𝐢𝐥𝐞𝐬 𝐰𝐨𝐮𝐥𝐝 𝐛𝐞 𝐨𝐯𝐞𝐫𝐰𝐫𝐢𝐭𝐭𝐞𝐧 𝐛𝐲 𝐦𝐞𝐫𝐠𝐞"
  - 𝐒𝐨𝐥𝐮𝐭𝐢𝐨𝐧: Stash your local changes with 𝐠𝐢𝐭 𝐬𝐭𝐚𝐬𝐡, then perform the merge, and finally apply your changes back with 𝐠𝐢𝐭 𝐬𝐭𝐚𝐬𝐡 𝐚𝐩𝐩𝐥𝐲.

Remember that these are just brief solutions. The specific actions needed may vary based on the context of the error and the state of your Git repository.


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

How does Docker 🐬 Work? Is Docker still relevant?

Docker's architecture comprises three main components:

🔹 Docker Client
This is the interface through which users interact. It communicates with the Docker daemon.

🔹 Docker Host
Here, the Docker daemon listens for Docker API requests and manages various Docker objects, including images, containers, networks, and volumes.

🔹 Docker Registry
This is where Docker images are stored. Docker Hub, for instance, is a widely-used public registry.


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

🚀 Implementing Zero Downtime Deployment Strategies with Kubernetes

🖥 https://blog.prodevopsguy.xyz/implementing-zero-downtime-deployment-strategies-with-kubernetes


🎤 Introduction
Zero downtime deployments are crucial for modern applications, ensuring that users experience uninterrupted service even during updates. Kubernetes, a powerful container orchestration platform, provides several strategies to achieve zero downtime. This article will delve into the various techniques and best practices for implementing zero downtime deployments in Kubernetes.


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

🔥 Terraform Free Videos :–

🔗 Link: https://drive.google.com/drive/u/0/mobile/folders/1COG6x8YCEceHTai3w52h9suHZ2H0rHvF


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

🟩 AWS & DevOps Free Videos :– 🟩


🗯 Part -1 : https://drive.google.com/drive/folders/1P2MORPWWUDk6MBzLktlahDRHJgh9YNta?usp=sharing

🗯 Part -2: https://drive.google.com/drive/folders/1-9pCWtNrSwWW3Bgd0BjqfH_x0sfJcXvE?usp=sharing

🗯 Part -3 : https://drive.google.com/drive/folders/1OD3B97MfmlQbnBVB_PMbt5bb5mtjyQk9?usp=sharing


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

🔔 Free Resources for End-to-End DevOps ♾ Learning:


🐧 𝗟𝗶𝗻𝘂𝘅:
- The Linux Foundation: https://lnkd.in/epkP5dYQ
- Linux Documentation: https://lnkd.in/eWNYW246
- Fedora Project: fedoraproject.org

🐍 𝗦𝗰𝗿𝗶𝗽𝘁𝗶𝗻𝗴:
- Python: learnpython.org
- Go: go.dev/tour
- Automate with Python: automatetheboringstuff.com
- Golang Bootcamp: https://lnkd.in/eSsK7KUG

🤖 𝗔𝗜 𝗳𝗼𝗿 𝗗𝗲𝘃𝗼𝗽𝘀:
- GenAI - https://brij.guru/ai

🌐 𝗡𝗲𝘁𝘄𝗼𝗿𝗸𝗶𝗻𝗴:
- Cisco Networking Academy: netacad.com
- Networking Fundamentals: https://lnkd.in/eQ62Bfza
- Networking: A Top-Down Approach: kurose.cslash.net
- FreeCodeCamp's Course: https://lnkd.in/ecAsMH2w

🧑‍💻 𝗚𝗶𝘁:
- Git SCM: git-scm.com
- Try Git: github.com/Try
- Git Tutorials: https://lnkd.in/eDbQBQfD
- Git Interactive Tutorial: https://lnkd.in/eqfE2ZC4

🐳 𝗖𝗼𝗻𝘁𝗮𝗶𝗻𝗲𝗿𝘀:
- Docker Documentation: docs.docker.com
- Docker Hub: hub.docker.com
- Docker Labs: dockerlabs.collabnix.com
- Kubernetes Fundamentals: https://lnkd.in/eurRUTSt

☁️ 𝗖𝗹𝗼𝘂𝗱:
- AWS Free Tier: aws.amazon.com/free
- Microsoft Azure Free Account: https://lnkd.in/ehxD777x
- Google Cloud Platform Free Tier: cloud.google.com/free
- Cloud Academy: cloudacademy.com

⚙️ 𝗖𝗜/𝗖𝗗:
- Jenkins: jenkins.io
- Travis CI: https://lnkd.in/eDTJtRjB
- CircleCI: circleci.com
- GitLab CI/CD: docs.gitlab.com/ee/ci

🧩 𝗢𝗿𝗰𝗵𝗲𝘀𝘁𝗿𝗮𝘁𝗶𝗼𝗻:
- Kubernetes Documentation: kubernetes.io/docs/home
- Kubernetes the Hard Way: https://lnkd.in/edWs7_FW
- CNCF Curriculum: cncf.io
- Kubernetes Fundamentals: https://lnkd.in/e55BRxGy

🔍 𝗢𝗯𝘀𝗲𝗿𝘃𝗮𝗯𝗶𝗹𝗶𝘁𝘆:
- Prometheus: prometheus.io
- Grafana: grafana.com
- Elasticsearch: elastic.co
- Jaeger: https://lnkd.in/eiFkzXwD

📜 𝗜𝗻𝗳𝗿𝗮𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲 𝗮𝘀 𝗖𝗼𝗱𝗲 (𝗜𝗮𝗖):
- Terraform: terraform.io
- AWS CloudFormation: https://lnkd.in/e4wGb2eT
- Azure Resource Manager: https://lnkd.in/eWzjg94i
- Deployment Manager: https://lnkd.in/ekAQpT3n

🔏 𝗣𝗼𝗹𝗶𝗰𝘆 𝗮𝘀 𝗖𝗼𝗱𝗲:
- Open Policy Agent: https://lnkd.in/eG4jMZSU
- Kyverno: kyverno.io/docs
- Rego: https://lnkd.in/eD75meCB

🕸 𝗦𝗲𝗿𝘃𝗶𝗰𝗲 𝗠𝗲𝘀𝗵:
- Istio: https://lnkd.in/eaxdAMZC
- Linkerd: linkerd.io
- Consul Service Mesh: https://lnkd.in/eEn3eacn


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

🔔 𝐍𝐞𝐭𝐟𝐥𝐢𝐱'𝐬 𝐃𝐚𝐭𝐚𝐛𝐚𝐬𝐞 𝐒𝐞𝐥𝐞𝐜𝐭𝐢𝐨𝐧𝐬 𝐨𝐧 𝐚 𝐌𝐚𝐬𝐬𝐢𝐯𝐞 𝐒𝐜𝐚𝐥𝐞

Netflix's database infrastructure is a true marvel! They use a combination of several cutting-edge technologies to ensure content is available 24/7, without buffering or interruptions.

Netflix's engineering team leverages a diverse array of databases to deliver top-notch service. Here's a glimpse into their database selection:

🔍 Relational Databases: For billing transactions, subscriptions, taxes, and revenue, Netflix chooses MySQL. They also harness CockroachDB to support multi-region active-active architecture, global transactions, and data pipeline workflows.

📊 Columnar Databases: Netflix turns to Redshift and Druid for structured data storage, Spark and data pipeline processing, and Tableau for data visualization, especially for analytics purposes.

🔑 Key-Value Databases: Netflix's trusted companion for over a decade is EVCache, built on top of Memcached. It's the go-to for caching various data, powering the Netflix Homepage, and delivering personalized recommendations.

📚 Wide-Column Databases: Cassandra takes the stage for almost everything, from Video/Actor information to User Data, Device details, and Viewing History.

🎮 Time-Series Databases: Netflix's innovation shines with Atlas, an open-source in-memory database designed for metrics storage and aggregation.

⏸ Unstructured Data: When it comes to storing Image/Video/Metrics/Log files, Netflix relies on S3 as the default choice. They also harness the power of Apache Iceberg with S3 for big data storage.


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

📣 Streamlining CI/CD Workflow with GitHub, Jenkins, SonarQube, Docker, Argo-CD and GitOps. ⚙️

𝟏 . 𝐂𝐨𝐧𝐭𝐢𝐧𝐮𝐨𝐮𝐬 𝐈𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧.
----------------------------------------------------------------------------------
📌 Git Repo consists of source code for the Spring Boot application. Any commit/changes that happen here will be triggered to Jenkins through Webhook.

📌 As we are using Java application, we use Maven to build the application. If it is a success, it will move to the next stage i.e. code analysis. If it fails, then Jenkins will send an alert to the user through email or Slack notification.

📌 Code Analysis is done through SonarQube. It will check for code vulnerabilities and if it does have one, will send an alert to the user through email or Slack notification. If it does not, then it will move to the next step: Docker.

📌 Here, Docker is used for building the docker image. This image will be saved in Docker hub. If it is a success, it will move to the next step: Continuous Deployment. If it fails, then Jenkins will send an alert to the user and the pipeline ends there.

𝟐. 𝐂𝐨𝐧𝐭𝐢𝐧𝐮𝐨𝐮𝐬 𝐃𝐞𝐩𝐥𝐨𝐲𝐦𝐞𝐧𝐭
----------------------------------------------------------------------------------
📌 The CD will get to know that the image is updated in the Docker Hub through Shell script/ArgoCD Image Updater. As a new image is updated, the new version is updated in the manifests folder's deployment.yaml file.

📌 GitOps tools are basically Kubernetes controllers, which are sitting inside the Kubernetes cluster. Argo CD will try to maintain a state between the Git repository and the Kubernetes cluster. Whenever there is a change, ArgoCD will pick those changes and deploy the application in the Kubernetes cluster.

🔗 BLOG URL HERE

🔗 GITHUB URL HERE


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

Route 53 Routing Policies 🚀

Route 53 is a powerful DNS service by AWS, offering various routing policies to manage traffic.

🔢. Simple Routing
- Most straightforward approach, good for single resources.
- Routes traffic to a single endpoint, like a web server or an elastic load balancer.
- Easy to set up and manage.

🔢. Weighted Routing
- Distributes traffic across multiple resources.
- Controls traffic distribution based on predefined weights.
- Great for load balancing and testing new deployments.

🔢. Failover Routing
- Routes traffic to a primary resource, with a secondary resource on standby.
- Automatically routes the traffic to the secondary resource if the primary resource goes into an unhealthy state or fails.
- Ensures high availability.


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

➡️ Repository Update 📣


📱 Source Link: https://github.com/NotHarshhaa/DevOps_Setup-Installations/tree/master/terraform

➡️Added Terraform involves a series of installations and configurations to your ensure a robust and efficient infrastructure as code (IaC) environment.

➡️ Here are content:

🔢. Install Terraform
🔢. Configure Terraform CLI
🔢. Setup a Remote Backend
🔢. Install and Configure Providers
🔢. Setup Version Control
🔢. Implement CI/CD Pipeline
🔢. Enable Logging and Monitoring

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

As a DevOps engineer, mastering the Linux 🐧 command line is crucial for efficient system administration and management. Here are some essential Linux commands you should know:

1️⃣. File and Directory Management:
ls: List directory contents.
cd: Change directory.
pwd: Print working directory.
mkdir: Create a new directory.
rm: Remove files or directories.
cp: Copy files or directories.
mv: Move or rename files or directories.

2️⃣. User and Permission Management:
useradd: Add a new user.
passwd: Set or change user passwords.
chown: Change file ownership.
chmod: Modify file permissions.
su: Switch user.
sudo: Execute commands with superuser privileges.

3️⃣. Process and Service Management:
ps: Display running processes.
top: Monitor system processes.
kill: Terminate processes.
systemctl: Manage system services (systemd-based systems).
service: Manage services (init-based systems).

4️⃣. Networking and System Monitoring:
ifconfig or ip: Configure network interfaces.
netstat: Display network statistics.
ping: Test network connectivity.
df: Show disk space usage.
free: Display memory usage.
uptime: Show system uptime.

Remember that this is just a starting point, and there are many more Linux commands and utilities. Feel free to explore and deepen your knowledge as you work with Linux in your DevOps journey! 🐧 🚀

➡️Reference links: [1] [2] [3] [4]


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

Here are some common GitHub-related issues that DevOps engineers encounter, along with their solutions:

1️⃣. Merge Conflicts:
Issue: When multiple contributors modify the same file simultaneously, merge conflicts occur during pull requests.
Solution: Resolve conflicts by carefully reviewing conflicting changes and manually merging them.

2️⃣. Authentication Issues:
Issue: Improper authentication (SSH keys or personal access tokens) can lead to problems when pushing or pulling from repositories.
Solution: Ensure correct authentication methods to avoid issues.

3️⃣. Git Submodules:
Issue: Managing Git submodules can be challenging.
Solution: Understand how submodules work and handle them correctly.

4️⃣. Large Files and LFS:
Issue: GitHub has a file size limit. Large binary files can cause issues.
Solution: Use Git LFS (Large File Storage) for managing large files.

5️⃣. Branch Protection Rules:
Issue: Accidental force pushes or direct commits to protected branches.
Solution: Set up branch protection rules to prevent such actions.

6️⃣. Rate Limiting:
Issue: GitHub API requests are rate-limited.
Solution: Use tokens and avoid excessive requests.

7️⃣. Repository Permissions:
Issue: Incorrect permissions for collaborators.
Solution: Ensure proper permissions to avoid unauthorized access.

8️⃣. Webhooks and CI/CD Failures:
Issue: Debugging webhook and CI/CD failures.
Solution: Check logs and configurations to identify and fix issues.

Remember, addressing these challenges will enhance your DevOps skills! 😊🚀

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

🚨 AWS Billing Alert Terraform Module

⚙️ Excited to share my latest open-source contribution - The AWS Billing Alert Terraform Module!

📱 Link: https://github.com/NotHarshhaa/aws-billing-alert-terraform.git

Navigating AWS costs can sometimes be tricky. To aid users in proactive cost management, I've developed a Terraform module that automates the setup of billing alerts. With this tool, you'll receive timely notifications if your AWS charges cross predefined thresholds.

📊 Integrated with AWS #CloudWatch - Monitor your #billing metrics seamlessly.

📣 Leverages AWS #SNS - Get instant notifications so you can act swiftly.
For those keen on ensuring their AWS expenses stay within predictable boundaries, this tool is a valuable asset for every AWS Engineer.


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

GitHub ☁️ - 30 GitHub commands used by every DevOps Engineer

🖥 https://dev.to/prodevopsguytech/github-30-github-commands-used-by-every-devops-engineer-4llj


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

Kubernetes Cluster Election

💡 Choosing the Right K8s Environment for Your Needs

K8s offers various technologies tailored to different tasks, each with its own characteristics and advantages.

Some popular options:

1️⃣ Minikube (https://lnkd.in/ePQKyEZ7)

> Compatible with Linux, Windows, and macOS
> Uses virtualization to deploy a cluster on a Linux virtual machine
> Suitable for Linux without virtualization support

2️⃣ Kubeadm (https://lnkd.in/epyumfKZ)

> The official CNCF tool for provisioning Kubernetes clusters
> Offers flexibility for various cluster configurations (single node, multi-node, HA, self-hosted, etc.)
> Ideal for launching minimal viable Kubernetes clusters

3️⃣ Kops (Kubernetes Operations) (https://lnkd.in/e7ApRVJP)

> Provides tools for installing, operating, and removing Kubernetes clusters on cloud platforms like AWS, Google Cloud Platform, OpenStack, and DigitalOcean

4️⃣ Microk8s (https://microk8s.io)

> Similar to Minikube, it creates single-node clusters
> Features its own set of add-ons as configuration plugins
> Exclusive to Linux environments

5️⃣ K3s (https://k3s.io)

> Works on any Linux distribution without external dependencies
> Replaces Docker with containerd as the container runtime and uses sqlite3 as the default database
> Lightweight, consuming only 512MB of RAM and 200MB of disk space.

6️⃣ Kind (Kubernetes-in-Docker) (https://kind.sigs.k8s.io)

> Runs Kubernetes clusters in Docker containers
> Supports multi-node and High-Availability clusters
> Compatible with Windows, Mac, and Linux as it runs on top of Docker

7️⃣ K3d (https://k3d.io)

> A project aiming to dockerize K3s

The choice of the Kubernetes environment depends on your project's specific needs.

Once you understand K8s basics, the next step is to create a cluster, which can be done both locally and in the cloud.

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

🚀 Google Cloud CLI Commands for DevOps Engineers 🌐

Get the most out of Google Cloud Platform (GCP) with these essential gcloud commands! Here's a handy reference to help you streamline your DevOps workflows. 📑


🌟 Setup & Configuration
1. Initialize GCP SDK:

   gcloud init

2. Authenticate to GCP:

   gcloud auth login

3. Set Default Project:

   gcloud config set project [PROJECT_ID]

🖥 Compute Engine
1. List VM Instances:

   gcloud compute instances list

2. Create a New VM:

   gcloud compute instances create [INSTANCE_NAME] --zone=[ZONE]

3. Start/Stop/Delete VM:

   gcloud compute instances start [INSTANCE_NAME] --zone=[ZONE]
   gcloud compute instances stop [INSTANCE_NAME] --zone=[ZONE]
   gcloud compute instances delete [INSTANCE_NAME] --zone=[ZONE]

📦 Kubernetes Engine
1. Get Credentials for Cluster:

   gcloud container clusters get-credentials [CLUSTER_NAME] --zone=[ZONE]

2. List GKE Clusters:

   gcloud container clusters list

3. Create/Delete GKE Cluster:

   gcloud container clusters create [CLUSTER_NAME] --zone=[ZONE]
   gcloud container clusters delete [CLUSTER_NAME] --zone=[ZONE]

🗂 Cloud Storage
1. List Buckets:

   gcloud storage ls

2. Create/Delete Bucket:

   gcloud storage buckets create gs://[BUCKET_NAME]
   gcloud storage buckets delete gs://[BUCKET_NAME]

3. Upload/Download Files:

   gcloud storage cp [LOCAL_PATH] gs://[BUCKET_NAME]/[OBJECT_NAME]
   gcloud storage cp gs://[BUCKET_NAME]/[OBJECT_NAME] [LOCAL_PATH]

🗄 BigQuery
1. List Datasets:

   gcloud bigquery datasets list

2. Create/Delete Dataset:

   gcloud bigquery datasets create [DATASET_NAME]
   gcloud bigquery datasets delete [DATASET_NAME]

3. Run Query:

   gcloud bigquery query "SELECT * FROM `[PROJECT_ID].[DATASET].[TABLE]` LIMIT 10"

🛠 Deployment Manager
1. List Deployments:

   gcloud deployment-manager deployments list

2. Create/Delete Deployment:

   gcloud deployment-manager deployments create [DEPLOYMENT_NAME] --config [CONFIG_FILE]
   gcloud deployment-manager deployments delete [DEPLOYMENT_NAME]

🔒 IAM & Security
1. List Service Accounts:

   gcloud iam service-accounts list

2. Create/Delete Service Account:

   gcloud iam service-accounts create [ACCOUNT_NAME]
   gcloud iam service-accounts delete [ACCOUNT_NAME]@[PROJECT_ID].iam.gserviceaccount.com   

🗃 Cloud SQL
1. List Instances:

   gcloud sql instances list

2. Create/Delete SQL Instance:

   gcloud sql instances create [INSTANCE_NAME] --tier=db-n1-standard-1 --region=[REGION]
   gcloud sql instances delete [INSTANCE_NAME]

Keep these commands handy to master Google Cloud like a pro! 🌟

Stay tuned for more DevOps tips and tricks. 🚀


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