100 Terms & Services which every DevOps ♾ Engineer should be aware of:

1. Continuous Integration (CI): Automates code integration.
2. Continuous Deployment (CD): Automated code deployment.
3. Version Control System (VCS): Manages code versions.
4. Git: Distributed version control.
5. Jenkins: Automation server for CI/CD.
6. Build Automation: Automates code compilation.
7. Artifact: Build output package.
8. Maven: Build and project management.
9. Gradle: Build automation tool.
10. Containerization: Application packaging and isolation.
11. Docker: Containerization platform.
12. Kubernetes: Container orchestration.
13. Orchestration: Automated coordination of components.
14. Microservices: Architectural design approach.
15. Infrastructure as Code (IaC): Manage infrastructure programmatically.
16. Terraform: IaC provisioning tool.
17. Ansible: IaC automation tool.
18. Chef: IaC automation tool.
19. Puppet: IaC automation tool.
20. Configuration Management: Automates infrastructure configurations.
21. Monitoring: Observing system behavior.
22. Alerting: Notifies on issues.
23. Logging: Recording system events.
24. ELK Stack: Log management tools.
25. Prometheus: Monitoring and alerting toolkit.
26. Grafana: Visualization platform.
27. Application Performance Monitoring (APM): Monitors app performance.
28. Load Balancing: Distributes traffic evenly.
29. Reverse Proxy: Forwards client requests.
30. NGINX: Web server and reverse proxy.
31. Apache: Web server and reverse proxy.
32. Serverless Architecture: Code execution without servers.
33. AWS Lambda: Serverless compute service.
34. Azure Functions: Serverless compute service.
35. Google Cloud Functions: Serverless compute service.
36. Infrastructure Orchestration: Automates infrastructure deployment.
37. AWS CloudFormation: IaC for AWS.
38. Azure Resource Manager (ARM): IaC for Azure.
39. Google Cloud Deployment Manager: IaC for GCP.
40. Continuous Testing: Automated testing at all stages.
41. Unit Testing: Tests individual components.
42. Integration Testing: Tests component interactions.
43. System Testing: Tests entire system.
44. Performance Testing: Evaluates system speed.
45. Security Testing: Identifies vulnerabilities.
46. DevSecOps: Integrates security in DevOps.
47. Code Review: Inspection for quality.
48. Static Code Analysis: Examines code without execution.
49. Dynamic Code Analysis: Analyzes running code.
50. Dependency Management: Handles code dependencies.
51. Artifact Repository: Stores and manages artifacts.
52. Nexus: Repository manager.
53. JFrog Artifactory: Repository manager.
54. Continuous Monitoring: Real-time system observation.
55. Incident Response: Manages system incidents.
56. Site Reliability Engineering (SRE): Ensures system reliability.
57. Collaboration Tools: Facilitates team communication.
58. Slack: Team messaging platform.
59. Microsoft Teams: Collaboration platform.
60. ChatOps: Collaborative development through chat.


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

🔥 AWS DEVOPS REAL-TIME DEPLOYMENT

Development → Pre-PROD → Production ⏰

🔗 Detailed Project Explanation with Screenshots : https://prodevopsguy.xyz/aws-devops-real-time-deployment-dev-pre-prod-production

🔗Project Source code: https://github.com/NotHarshhaa/AWS-DevOps_Real-Time_Deployment


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

Hello Everyone 👋,

For those considering a switch to DevOps, here are some basic tips to help you get started:

🔢. Familiarize Yourself with DevOps Tools:
Understand the purpose of different DevOps tools such as Jenkins, Ansible, Docker, Kubernetes, Git, and more. Each tool serves a specific function in the DevOps pipeline.

🔢. Grasp the DevOps Workflow:
Gain a solid understanding of the DevOps lifecycle, from development and testing to deployment and monitoring. Know the roles and responsibilities at each stage.

🔢. Scripting Skills are Crucial:
Command at least one scripting language, like Bash or Python. While you don't need to be a hardcore developer, scripting is vital for automation tasks.

🔢. Adaptability is Key:
DevOps is a dynamic field, and tasks can vary widely. Be ready to adapt to new challenges regularly. It's not uncommon to face different issues deploying the same code in different environments, so a problem-solving mindset is crucial.

🔢. Basic Networking Knowledge:
Understand fundamental networking concepts. DevOps often involves working with various systems and networks, so a basic understanding will be beneficial.

🔢. Proficiency in a Cloud Platform:
Be proficient in at least one cloud platform (e.g., AWS, Azure, GCP). Cloud services are integral to modern DevOps practices, and knowing your way around a cloud environment is essential.

🔢. Focus on Proficiency with One Tool Initially:
DevOps encompasses a variety of tools that may serve similar purposes. Instead of trying to learn multiple tools for the same task right away, focus on mastering one tool first.Start by learning the basics and becoming proficient in one tool before exploring others.

🔢. Stay curious:
explore new technologies, and engage with the DevOps community to enhance your skills.


Best of luck on your DevOps journey! 🙂


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

As a DevOps Engineer, you must be aware of 𝐃𝐨𝐜𝐤𝐞𝐫𝐟𝐢𝐥𝐞 𝐁𝐞𝐬𝐭 𝐏𝐫𝐚𝐜𝐭𝐢𝐜𝐞𝐬:


🔍 Use only and only official and verified images as base image.

🔍 Use light weight docker images for base image like alpine linux image distribution.

🔍 Use docker image version instead of using latest version.

🔍 Install only required packages and softwares into Docker Image.

🔍 Do not have multiple layers of RUN instructions in a Dockerfile, instead have single RUN instruction to install all necessary packages into a docker image using && operator.

🔍 When Dockerfile contains too many layers, try to use multi stage docker file.

🔍 Use .dockerignore file to exclude unnecessary files and directories from docker image in order to reduce docker image size.

🔍 Do not use root user to start docker container, use non root user with least privileges.

🔍 Once docker image is built, make sure docker image is scanned before pushing to Docker Registry.


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

🌐 https://prodevopsguy.tech/posts/advanced-terraform-getting-started-with-terragrunt/


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

☄️ 𝗕𝗲𝘀𝘁 𝐘𝐨𝐮𝐭𝐮𝐛𝐞 𝐜𝐡𝐚𝐧𝐧𝐞𝐥𝐬 𝗧𝗼 𝗟𝗲𝗮𝗿𝗻 𝗗𝗲𝘃𝗢𝗽𝘀 ✨


✔️ LogicOps Lab by Ravish Rawat ( Real time Interview's )
🔗 https://lnkd.in/g3rtbjHb

✔️ Real time projects @mr.cloudbook
🔗 https://lnkd.in/gWWqHnJx

✔️ Train With Shubham by Shubham Londhe
🔗 https://lnkd.in/g9SwADkB

✔️ Tech Tutorials with Piyush by Piyush sachdeva (Azure and GCP cloud)
🔗 https://lnkd.in/g4iWpScc

✔️ TechWorld With Nana by Nana Janashia
🔗 https://lnkd.in/g7iFKKb9

✔️ KodeKloud by Mumshad Mannambeth
🔗 https://lnkd.in/g2jdc__p

✔️ Stéphane Maarek
🔗 https://lnkd.in/gzSbeKFt

✔️ Technical Guftgu by Bhupinder Rajput l भूपिंदर राजपूत l بھوپندر راجپوت In Hindi
🔗 https://lnkd.in/g8FYMCAS

✔️ Cloud Advocate by Krishna Chaitanya Gadhiraju (GK)
🔗 https://lnkd.in/giNb536Y

✔️ Abhishek Veeramalla
🔗 https://lnkd.in/gMfRacqy

✔️ Cloud Champ by Nasiullha Chaudhari
🔗 https://lnkd.in/gYUQ4r5x

✔️ Praveen Singampalli
🔗 https://lnkd.in/gVAeX8dZ


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

🖥 https://prodevopsguy.xyz/transform-kubernetes-manifests-into-helm-chart

🌟 𝗙𝗼𝗿 𝗺𝗼𝗿𝗲 𝗗𝗲𝘃𝗢𝗽𝘀/𝗖𝗹𝗼𝘂𝗱 𝗕𝗹𝗼𝗴𝘀 & 𝗮𝗿𝘁𝗶𝗰𝗹𝗲𝘀: LINK


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

How to Track Changes Inside Your Docker 🐬 Containers 🚀

If you are struggling to pinpoint file changes inside your Docker containers then try out the powerful "docker container diff" command.

➡️ docker diff allows us to quickly identify all added, modified, or deleted files within a specific container since its creation or last start.

With just one command, we can:

➡️ Track changes for smooth deployments
➡️ Understand the impact of recent modifications
➡️ Troubleshoot issues by detecting root causes
➡️ Audit for unauthorized or unexpected alterations

🖥 Checkout the detailed blog with an example: https://lnkd.in/gx_gWC8N


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

➡️ 𝐏𝐫𝐨𝐦𝐞𝐭𝐡𝐞𝐮𝐬 𝐀𝐫𝐜𝐡𝐢𝐭𝐞𝐜𝐭𝐮𝐫𝐞 🔬

Prometheus is an open-source monitoring and alerting toolkit designed for reliability and scalability. Below is a an overview of the Prometheus architecture:

🏮 Components:
🖥 Prometheus Server:
- Core for collecting, storing, and querying time-series data.
- It’s pull-based and scrapes metrics from targets at regular intervals.
- Stores data in a local time-series database.
❤️ Metrics (Targets/Exporters):
- Apps or services expose metrics.
- Prometheus scrapes metrics from these targets.
📶 Data Model:
- Time-series data with metric names and labels.
- Example: `http_requests_total{method="GET", status="200"}`.
⚠️ PromQL:
- Query language for time-series data.
- Allows filtering, grouping, and math operations on metrics.
⚠️ Alertmanager:
- Handles alerts from Prometheus.
- Manages notifications and integrates with third-party channels.
☁️ Storage:
- Uses local on-disk storage.
- Data retention policies.
- Data is organized in blocks and compacted over time.

🏮 Workflow:
🌐 Configuration:
- Targets and scrape intervals defined in Prometheus config files.
- Relabeling allows modifying or filtering metrics before storage.
📚 Scraping:
- Prometheus Server scrapes metrics from configured targets.
- Targets expose metrics typically at /metrics endpoint.
☁️ Storage:
- Scraped metrics stored in the local time-series database.
- Data organized by metric name and labels.
📚 Querying:
- Users utilize PromQL to query and analyze stored metrics.
- Grafana or Prometheus's UI visualizes query results.
⚠️ Alerting:
- Prometheus evaluates alerting rules based on queries.
- Alerts sent to Alertmanager if conditions are met.
⚠️ Alertmanager Handling:
- Alertmanager receives alerts and manages their lifecycle.
- Handles deduplication, grouping, and sends notifications to configured channels.


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

📱 https://prodevopsguy.site/30-github-commands-used-by-every-devops-engineer


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

Preparing for a DevOps engineer interview is crucial to increase your chances of success. Here are some valuable resources and interview questions to help you get ready:


1. GeeksforGeeks: Top 50 DevOps Interview Questions:
This article provides a comprehensive list of frequently asked DevOps interview questions. It covers topics like DevOps culture, tools, methodologies, and technical skills[1].

2. Dev.to: Preparing for a DevOps Engineer Interview: A Comprehensive Guide:
This guide walks you through essential steps to prepare for a DevOps engineer interview. It covers various topics, offers links to resources, and shares tips for success[2].

3. Flexiple: Top 100 DevOps Interview Questions and Answers:
A strategic roadmap for both aspiring candidates and hiring managers, this guide compiles the top 100 DevOps interview questions and provides detailed answers[3].

4. InterviewBit: Top DevOps Interview Questions and Answers:
Intermediate-level questions covering topics such as DevOps methodology phases, differences between DevOps and Agile, continuous deployment vs. continuous delivery, and more[4].

5. Simplilearn: Top 110+ DevOps Interview Questions and Answers:
A collection of common DevOps interview questions to help you gain knowledge about processes, tools, and relevant technologies[5].


Remember to focus on both technical skills and soft skills during your preparation. Good luck with your DevOps interview! 🚀🔧

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


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

🖥 https://www.prodevopsguy.xyz/posts/the-ultimate-cicd-corporate-devops-pipeline-project

🌟 𝗙𝗼𝗿 𝗺𝗼𝗿𝗲 𝗗𝗲𝘃𝗢𝗽𝘀/𝗖𝗹𝗼𝘂𝗱 𝗕𝗹𝗼𝗴𝘀 & 𝗮𝗿𝘁𝗶𝗰𝗹𝗲𝘀: LINK


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

Preparing for an Azure cloud interview is essential to showcase your knowledge and skills. Here are some valuable resources and interview questions to help you get ready:

1. Simplilearn's Azure Interview Questions and Answers:
Simplilearn provides a comprehensive list of over 35 Azure interview questions. These questions cover various topics, from basic concepts to more advanced features. Whether you're a beginner or an experienced professional, this resource will help you prepare effectively[1].

2. GeeksforGeeks: Azure Interview Questions and Answers:
GeeksforGeeks offers a collection of over 40 Azure interview questions. This guide covers a wide range of topics, ensuring you're well-prepared to showcase your knowledge during the interview[2].

3. Spiceworks: Top 15 Azure Interview Questions and Answers:
Spiceworks discusses the top 15 Azure interview questions for 2022. It specifies which questions are relevant for entry-level, mid-career, and senior professionals. Use this resource to understand ideal ways to answer these questions[3].

4. InterviewPrep: Top 25 Azure Cloud Services Interview Questions and Answers:
This guide focuses on cloud computing domain-specific questions related to Azure. It will help you confidently demonstrate your skills during the interview[4].


Remember to practice not only technical questions but also behavioral and situational questions. Good luck with your Azure cloud interview! 🚀☁️

➡️Reference links: [1] [2] [3] [4]


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

Preparing for an Azure DevOps interview is crucial to showcase your skills and knowledge effectively. Here are some valuable resources to help you prepare:

1. Top 50 Azure DevOps Interview Questions and Answers: This comprehensive guide covers a wide range of topics related to Azure DevOps. It includes questions on DevOps concepts, tools, services, and practical scenarios. Understanding these questions and their answers will give you a solid foundation for your interview[1].

2. 2024 Azure DevOps Engineer Interview Questions & Answers: This resource dissects various question types that Azure DevOps Engineer candidates may encounter. It provides insights into technical inquiries and behavioral scenarios, along with exemplary responses. Make sure to prepare thoroughly to excel in your interview[2].

3. Top 25 Azure DevOps Interview Questions and Answers: This guide features commonly asked questions and in-depth answers. It's a great resource to help you showcase your skills during the interview process[3].

4. Top 15 Azure DevOps Scenario-based Interview Questions and Solutions: If you're looking for scenario-based questions, this blog provides 17 beginner-friendly videos with real-time projects and hands-on experience. It's a last-minute interview preparation guide that complements your overall preparation[4].

Remember to practice, review your concepts, and stay confident during your interview. Good luck! 🚀

➡️Reference links: [1] [2] [3] [4]


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

⚠️ As a DevOps engineer, understanding Splunk commands is essential for effective log analysis and monitoring.

Here are some commonly used Splunk commands:

1. search: The primary command for searching data in Splunk. Use it to retrieve events based on specific criteria.

2. index: Specifies the index from which to retrieve data. You can filter data by index using this command.

3. source: Filters events based on the source of the data (e.g., log files, network streams).

4. sourcetype: Filters events based on the type of data source (e.g., Apache logs, Windows Event Logs).

5. eval: Creates calculated fields or modifies existing fields. Useful for creating custom fields or transforming data.

6. stats: Aggregates and summarizes data. You can use it to calculate counts, averages, and other statistics.

7. timechart: Generates time-based charts and visualizations. Useful for trend analysis and identifying patterns over time.

8. rex: Extracts fields using regular expressions. Helpful when dealing with unstructured data.

9. dedup: Removes duplicate events based on specified fields.

10. transaction: Groups related events into transactions. Useful for analyzing multi-step processes.

11. top: Identifies the top values for a specific field (e.g., top IP addresses, top error codes).

12. lookup: Enriches events by joining them with external lookup tables (e.g., mapping IP addresses to geolocation data).

Remember that these commands are just a starting point. Depending on your use case, you might need to explore additional commands and features. Happy Splunking! 🚀🔍

For more detailed information, check out the Splunk Cheat Sheet and the Splunk Quick Reference Guide[1][2].

➡️Reference links: [1] [2] [3]


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

🌟 Stay Updated with the Latest in Cloud & DevOps! 🌟

Hey everyone! 🚀

If you're passionate about Cloud and DevOps, I've got you covered with the latest content, blogs, and stories. Follow me for insightful updates and expert tips:

🌐 Follow me on Hashnode
☁️ Follow me on GitHub

Don't miss out on the cutting-edge trends and deep dives into the world of Cloud and DevOps. Let's learn and grow together!


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

➡️What DevOps and Cloud Engineers think their jobs will be:
- 40% Scripting automation
- 30% Cloud deployments
- 20% Monitoring and optimizing
- 10% Team collaboration

➡️What their jobs often actually look like:
- 20% Scripting automation
- 25% Cloud deployments
- 15% Monitoring and optimizing
- 40% Team collaboration
- 65.73% Debating on the infra/tool choices

➡️That’s because, beyond technical aspects, DevOps and Cloud Engineering involves:
- On-demand support
- Many alignment meetings
- Managing system incidents
- Balancing cost-efficiency
- Technical review sessions
- Cross-department collaboration
- Defending infrastructure choices
- Implementing stakeholder feedback

✅Technical skills get you in the door.
✅Communication and collaboration skills push your career forward.
✅To excel, keep up with both the latest technology trends and best practices in teamwork and communication.


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

➡️How to Create a GitHub Actions Workflow to Deploy Terraform Code to Azure

🖥 Blog Link: https://prodevopsguy.tech/posts/create-a-github-actions-workflow-to-deploy-terraform-code-to-azure


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

➡️ Let's compare Azure and AWS to help you decide which one might be better for beginners:

1. Market Share:
➡️Azure: Holds a 24% share of the worldwide market.
➡️AWS: Has a 31% share of the global computing market[1].

2. Availability Zones:
➡️Azure: Offers 140 availability zones.
➡️AWS: Provides 105 availability zones[1].

3. Storage Services:
➡️Azure:
Blob Storage
Containers
Azure Drive
Table Storage

➡️AWS:
S3 Buckets
EBS (Elastic Block Store)
SDB domains
DynamoDB

4. Networking Services:
➡️Azure:
Virtual Network
Azure Connect
Balancing Endpoints

➡️AWS:
Virtual Private Cloud (VPC)
Route 53
ELB (Elastic Load Balancing)

5. Security and Permissions:
➡️Azure: Offers permissions on the whole account.
➡️AWS: Provides security using defined roles with permission control features.

6. Ease of Use:
➡️Azure: Generally user-friendly.
➡️AWS: Offers a diverse toolkit but can be overwhelming for beginners.

7. Deployment Services:
➡️Azure: Uses \.cspkg (fancy zip file) or uploads via portal/API.
➡️AWS: Supports various deployment models, including Elastic Beanstalk and CloudFormation.

8. Pricing Models:
➡️Azure: Free trial, pay per minute.
➡️AWS: Free tier, pay per hour (rounded up).

9. Popularity and Applications:
➡️Azure is known for seamless Windows integration.
➡️AWS is widely used and trusted by companies like Adobe, Airbnb, and Netflix[1].

10. Overall:
➡️ Azure excels in Platform-as-a-Service (PaaS) and Windows integration.
➡️ AWS offers robust Infrastructure-as-a-Service (IaaS) and a diverse toolkit.
➡️Both platforms are near equals in most use cases[2]

In summary, both Azure and AWS have their strengths. For beginners, Azure might be more approachable due to its user-friendliness, while AWS provides a vast ecosystem of services. Consider your specific needs and preferences when choosing between them! 🌐🚀[1] [2].

➡️Reference links: [1] [2] [3]


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

🌐 https://prodevopsguy.xyz/how-to-start-a-career-in-devops-as-a-fresher-gaining-practical-experience

🌟 𝗙𝗼𝗿 𝗺𝗼𝗿𝗲 𝗗𝗲𝘃𝗢𝗽𝘀/𝗖𝗹𝗼𝘂𝗱 𝗕𝗹𝗼𝗴𝘀 & 𝗮𝗿𝘁𝗶𝗰𝗹𝗲𝘀: LINK


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