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✈️ 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs
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📌 https://blog.prodevopsguy.xyz/100-kubernetes-diagnostics-commands-with-kubectl

🔗 More DevOps Blogs : HERE

🟩🟩🟩🟩🟩🟩🟩🟩🟩🟩🟩🟩

Follow 🍩 Like 👍 Share 👍 Comment Your thoughts 💬

⭐️ 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy & @devopsdocs 𝗳𝗼𝗿 𝗺𝗼𝗿𝗲 𝘀𝘂𝗰𝗵 𝗰𝗼𝗻𝘁𝗲𝗻𝘁 𝗮𝗿𝗼𝘂𝗻𝗱 𝗰𝗹𝗼𝘂𝗱 & 𝗗𝗲𝘃𝗢𝗽𝘀!!!
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☄️ 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
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Most Asked Scenario-Based Linux Interview Questions for DevOps Engineers 🚀

1. Troubleshooting Services:💡
Scenario: Your application is running on an Apache web server, but the website is not accessible. What steps would you take to identify and resolve the issue?

2. Disk Space Management:💡
Scenario: You receive an alert that a production server is running low on disk space. How would you identify the files or directories consuming the most space and clean it up safely?

3. Process Monitoring and Optimization:💡
Scenario: A server is experiencing high CPU usage, and the application performance is degraded. How would you identify the root cause and optimize the processes?

4. User Management and Permissions:💡
Scenario: A user is unable to access a specific directory even though they belong to the correct group. How would you troubleshoot and resolve this permission issue?

5. Network Connectivity Issues:💡
Scenario: Your server is unable to reach a specific external IP address. What steps would you take to diagnose and resolve this network connectivity issue?

6. File Recovery:💡
Scenario: An important configuration file has been accidentally deleted. How would you attempt to recover this file if there are no backups?

7. Automating Tasks with Shell Scripts:💡
Scenario: You need to automate the deployment of an application. How would you use shell scripting to automate the process, including stopping services, copying files, and restarting services?

8. Log Analysis:💡
Scenario: An application is intermittently failing. How would you use Linux command-line tools to analyze logs and identify the root cause of these failures?

9. Service Start-Up Failure:💡
Scenario: A critical service fails to start after a server reboot. How would you diagnose and resolve the startup failure?

10. Kernel Tuning and Optimization:💡
Scenario: You need to optimize the server’s performance for a high-traffic application. How would you tune kernel parameters to improve system performance?

11. Managing Crontab Entries:💡
Scenario: A scheduled cron job did not execute as expected. How would you troubleshoot this issue and ensure the job runs correctly in the future?

12. Handling Large File Transfers:💡
Scenario: You need to transfer a large file securely from one server to another. What methods would you use to ensure the transfer is efficient and secure?

13. Deploying Updates with Zero Downtime:💡
Scenario: You need to deploy updates to an application without causing downtime. How would you achieve this on a Linux server?

14. Managing System Resources:💡
Scenario: The server's memory usage is consistently high, affecting application performance. What steps would you take to identify the cause and manage system resources effectively?


✈️ 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs
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Give me 3 minutes, and I'll explain the 📱 𝐆𝐈𝐓 𝐖𝐨𝐫𝐤𝐟𝐥𝐨𝐰 to you.

I will keep it very simple and straightforward.

[1.] 𝐈𝐧𝐢𝐭𝐢𝐚𝐥 𝐒𝐭𝐚𝐭𝐞
◾️ You have a remote repository on a server (README.md file exists).
◾️ Your local machine has no project files yet.

[2.] 𝐠𝐢𝐭 𝐜𝐥𝐨𝐧𝐞 <𝐫𝐞𝐩𝐨𝐬𝐢𝐭𝐨𝐫𝐲>
◾️ Copies the entire remote repository (README.md) to your local machine.
◾️ Creates a local repository linked to the remote one.

[3.] 𝐂𝐫𝐞𝐚𝐭𝐢𝐧𝐠 𝐚 𝐧𝐞𝐰 𝐟𝐢𝐥𝐞
◾️ You create a new file (newfile.txt) in your local working directory.
◾️ This file is untracked by Git at this point.

[4.] 𝐠𝐢𝐭 𝐚𝐝𝐝 .
◾️ Stages all changes (including the new file) in the working directory.
◾️ Prepares them to be included in the next commit.

[5.] 𝐠𝐢𝐭 𝐜𝐨𝐦𝐦𝐢𝐭 -𝐦 "<𝐦𝐞𝐬𝐬𝐚𝐠𝐞>"
◾️ Takes a snapshot of the staged changes.
◾️ Creates a new commit in your local repository with the changes and your commit message.

[6.] 𝐠𝐢𝐭 𝐩𝐮𝐬𝐡
◾️ Uploads all your local commits to the remote repository.
◾️ Now, both your local and remote repositories are synchronized.

📌 𝐊𝐞𝐲 𝐏𝐨𝐢𝐧𝐭𝐬
◾️ Working Directory => Where you make changes to your files.
◾️ Staging Area (Index) => A temporary holding area for changes you want to include in your next commit.
◾️ Local Repository => Your complete project history on your machine.
◾️ Remote Repository =>The central project repository on a server, often used for collaboration.


✈️ 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs
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🚀 DevOps Project-09: DevSecOps : Netflix Clone CI-CD with Monitoring | Email 🚀

🔗 Project Link: https://github.com/NotHarshhaa/DevOps-Projects/tree/master/DevOps-Project-09

🌐 Project Overview :-
I will be deploying a Netflix clone. I will be using Jenkins as a CICD tool and deploying our application on a Docker container and Kubernetes Cluster and I will monitor the Jenkins and Kubernetes metrics using Grafana, Prometheus and Node exporter.

❤️‍🔥 Share with friends and colleagues ❤️‍🔥


❤️ 𝐅𝐨𝐥𝐥𝐨𝐰 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs
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🌟 Kickstart Your DevOps Journey! 🚀

Are you a fresher with zero knowledge of DevOps? Don't worry! Our comprehensive guide, Learn DevOps with 0 Knowledge for Freshers, is here to help you get started on the right path.

🖥 Read the full article here: https://dev.to/prodevopsguytech/learn-devops-with-0-knowledge-for-freshers-6i4

💡 What you'll learn:
- Understanding the basics of DevOps
- Foundation skills: programming, OS, networking
- Mastering CI/CD with Jenkins and GitLab
- Configuration management with Ansible and Puppet
- Containerization and orchestration with Docker and Kubernetes
- Exploring cloud platforms: AWS, Azure, GCP
- Implementing Infrastructure as Code with Terraform
- Monitoring and logging with Prometheus and ELK Stack
- Hands-on projects and continuous learning tips


Start your DevOps journey today and become a proficient DevOps engineer! 🎉


📱 𝐅𝐨𝐥𝐥𝐨𝐰 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs
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🚀 Top 10 DevOps Tools You Can’t Live Without in 2024 🚀


🖥 Read it here: Top 10 DevOps Tools You Can’t Live Without in 2024

As a DevOps engineer, the right tools can make all the difference in your workflow. I’ve just published a detailed guide on the essential DevOps tools that every engineer should know in 2024! 💡

From Kubernetes to Terraform, I cover everything you need to scale, automate, and secure your DevOps pipelines. Whether you’re just starting out or looking to optimize your processes, this guide has you covered! 👨‍💻

Let me know which tool you can’t live without! 💬


✈️ 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs
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🔔 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!!!
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DevOps & Cloud (AWS, AZURE, GCP) Tech Free Learning
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⚡️ 70 Azure Important interview questions ranging from beginner to advanced levels:


Beginner Level
1. What is Microsoft Azure?
2. What are the key services provided by Azure?
3. What is an Azure Subscription?
4. What is Azure Virtual Machine (VM)?
5. Explain the concept of Azure Regions and Availability Zones.
6. What is Azure Resource Manager (ARM)?
7. What is an Azure Virtual Network (VNet)?
8. How does Azure Storage work?
9. What is Azure Blob Storage?
10. What is the difference between Azure Blob Storage and Azure File Storage?
11. What is Azure App Service?
12. How does Azure Load Balancer work?
13. What is Azure Active Directory (AD)?
14. What is Azure SQL Database?
15. What is Azure Cosmos DB?
16. How does Azure Monitor work?
17. What is Azure Functions?
18. What is Azure Logic Apps?
19. What are Resource Groups in Azure?
20. What is Azure Key Vault?
21. What is Azure DevOps?
22. What is Azure Kubernetes Service (AKS)?
23. What is Azure Service Bus?
24. How does Azure Backup work?
25. What is Azure VPN Gateway?
26. What are Azure Virtual Machines Scale Sets?
27. What is Azure Traffic Manager?
28. Explain Azure CDN (Content Delivery Network).
29. What is Azure Disk Encryption?
30. What is Azure Site Recovery?

Intermediate Level
31. How do you secure Azure resources?
32. What is the Azure Pricing Calculator?
33. How does Azure Policy work?
34. What are Azure Availability Sets?
35. Explain Azure Multi-Factor Authentication (MFA).
36. What is Azure ExpressRoute?
37. How do you set up Azure Networking?
38. What is Azure API Management?
39. What is the difference between Azure Functions and Azure Logic Apps?
40. What is Azure Application Gateway?
41. What are Azure Managed Disks?
42. Explain the concept of Azure B2B and B2C.
43. What is Azure Automation?
44. What is the difference between Azure AD and AD DS?
45. What is Azure Data Lake?
46. What is Azure Data Factory?
47. How does Azure Resource Manager (ARM) Templates work?
48. What is the difference between Azure SQL Database and SQL Server on Azure VM?
49. What is Azure Data Bricks?
50. Explain the Azure AD Conditional Access.
51. What is Azure Network Security Group (NSG)?
52. What is Azure Security Center?
53. How does Azure Storage Explorer work?
54. What is Azure Event Hubs?
55. Explain Azure Firewall.
56. What is Azure Blueprint?
57. What is Azure Application Insights?
58. What is the difference between Azure Table Storage and Azure Cosmos DB?
59. How do you implement high availability in Azure?
60. What are Azure Reservations?

Advanced Level
61. What is Azure Private Link?
62. What is Azure Synapse Analytics?
63. How do you manage compliance in Azure?
64. What is Azure Front Door?
65. Explain the use of Azure Bastion.
66. What are Azure Governance tools?
67. How does Azure Hybrid Benefit work?
68. What is Azure Sentinel?
69. How do you manage multi-tenant applications in Azure?
70. What are the best practices for securing an Azure environment?


✈️ 𝐅𝐨𝐥𝐥𝐨𝐰 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs
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DevOps & Cloud (AWS, AZURE, GCP) Tech Free Learning
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➡️ 70 Important Google Cloud Platform (GCP) interview questions ranging from beginner to advanced levels:


➡️ Beginner Level
1. What is Google Cloud Platform (GCP)?
2. What are the key services offered by GCP?
3. What is Google Compute Engine?
4. What is Google Cloud Storage?
5. Explain the difference between Google Cloud Storage and Persistent Disks.
6. What is Google App Engine?
7. What are Google Cloud Regions and Zones?
8. What is Google Kubernetes Engine (GKE)?
9. What is Google Cloud IAM (Identity and Access Management)?
10. How does Google Cloud VPC work?
11. What is Google BigQuery?
12. What is Google Cloud Pub/Sub?
13. What is Google Cloud Functions?
14. Explain the concept of Preemptible VMs in GCP.
15. What is Google Cloud Datastore?
16. What is Google Cloud SQL?
17. How does Google Cloud Load Balancing work?
18. What is Google Cloud Spanner?
19. What is the Google Cloud Marketplace?
20. What is Google Cloud Memorystore?
21. What is Google Cloud Bigtable?
22. What is Google Cloud Endpoints?
23. What is Google Cloud Dataflow?
24. How does Google Cloud Monitoring work?
25. What is Google Cloud AutoML?
26. What is Google Cloud Run?
27. Explain the difference between Google App Engine and Google Cloud Functions.
28. What is Google Cloud Interconnect?
29. What is Google Cloud Armor?
30. What is Google Cloud Vision API?

➡️ Intermediate Level
31. How do you secure data in GCP?
32. What is the difference between Google Cloud SQL and Google Cloud Spanner?
33. What is Google Cloud Deployment Manager?
34. How does Google Cloud DNS work?
35. What is Google Cloud CDN?
36. Explain the concept of Google Cloud Firestore.
37. What is Google Cloud Composer?
38. What is the difference between Google Cloud Datastore and Google Cloud Firestore?
39. What is Google Cloud Data Fusion?
40. What is Google Cloud Resource Manager?
41. What is Google Cloud Operations Suite (formerly Stackdriver)?
42. What is Google Cloud VPN?
43. What is Google Cloud NAT?
44. Explain the concept of VPC peering in GCP.
45. What is Google Cloud Filestore?
46. How does Google Cloud Key Management Service (KMS) work?
47. What is Google Cloud Identity?
48. What is Google Cloud Healthcare API?
49. How do you manage access control in GCP?
50. What is Google Cloud Traffic Director?
51. What is Google Cloud Anthos?
52. What is Google Cloud Tasks?
53. Explain the concept of Google Cloud Secret Manager.
54. What is Google Cloud Transfer Service?
55. What is Google Cloud Apigee?
56. What is Google Cloud Data Labeling Service?
57. How does Google Cloud Profiler work?
58. What is the difference between Google Cloud SQL and Google BigQuery?
59. What is Google Cloud Logging?
60. What is Google Cloud Asset Inventory?

➡️ Advanced Level
61. What is the Google Cloud Shared VPC?
62. How do you implement CI/CD in GCP?
63. What is Google Cloud Service Directory?
64. What is the role of Google Cloud in machine learning?
65. What is Google Cloud Tensor Processing Unit (TPU)?
66. Explain the concept of multi-region deployments in GCP.
67. How do you optimize costs in GCP?
68. What is Google Cloud Private Catalog?
69. How do you manage hybrid cloud deployments with GCP?
70. What are the best practices for securing a GCP environment?


✈️ 𝐅𝐨𝐥𝐥𝐨𝐰 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs
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5 Best Cost Optimization Techniques in DevOps.pdf
206.7 KB
𝟱 𝗕𝗲𝘀𝘁 𝗖𝗼𝘀𝘁 𝗢𝗽𝘁𝗶𝗺𝗶𝘇𝗮𝘁𝗶𝗼𝗻 𝗧𝗲𝗰𝗵𝗻𝗶𝗾𝘂𝗲𝘀 𝗶𝗻 𝗗𝗲𝘃𝗢𝗽𝘀 💡

In the cloud-driven world, DevOps brings speed and collaboration, but without proper management, cloud costs can skyrocket.

Here are 5 actionable strategies to optimize your DevOps costs while enhancing performance:

🔢 𝗥𝗶𝗴𝗵𝘁-𝗦𝗶𝘇𝗶𝗻𝗴 𝗥𝗲𝘀𝗼𝘂𝗿𝗰𝗲𝘀: Tailor your cloud usage with auto-scaling and cost monitoring.
🔢 𝗦𝗽𝗼𝘁 & 𝗥𝗲𝘀𝗲𝗿𝘃𝗲𝗱 𝗜𝗻𝘀𝘁𝗮𝗻𝗰𝗲𝘀: Leverage discounted compute resources.
🔢 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗲 𝗦𝗵𝘂𝘁𝗱𝗼𝘄𝗻 𝗼𝗳 𝗜𝗱𝗹𝗲 𝗥𝗲𝘀𝗼𝘂𝗿𝗰𝗲𝘀: Don’t pay for resources you aren’t using!
🔢 𝗢𝗽𝘁𝗶𝗺𝗶𝘇𝗲 𝗦𝘁𝗼𝗿𝗮𝗴𝗲 𝗖𝗼𝘀𝘁𝘀: Use tiered storage and audits to save on cloud storage.
🔢 𝗟𝗲𝘃𝗲𝗿𝗮𝗴𝗲 𝗖𝗼𝗻𝘁𝗮𝗶𝗻𝗲𝗿𝘀 & 𝗞𝘂𝗯𝗲𝗿𝗻𝗲𝘁𝗲𝘀: Maximize efficiency with dynamic resource allocation.

Start optimizing today for a leaner, faster, and cost-effective pipeline! 🚀



✈️ 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs
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📌 𝐓𝐡𝐞 𝐦𝐨𝐬𝐭 𝐚𝐬𝐤𝐞𝐝 𝐊𝐮𝐛𝐞𝐫𝐧𝐞𝐭𝐞𝐬 𝐈𝐧𝐭𝐞𝐫𝐯𝐢𝐞𝐰𝐬 𝐐𝐮𝐞𝐬𝐭𝐢𝐨𝐧𝐬/ 𝐓𝐨𝐩𝐢𝐜𝐬:

𝐊𝐮𝐛𝐞𝐫𝐧𝐞𝐭𝐞𝐬 𝐯𝐨𝐥𝐮𝐦𝐞𝐬 are an essential feature for managing data in containerized applications. They provide a way to persist and share data between containers within a pod or across pods. Volumes abstract the underlying storage details and make it easier to manage data in a containerized environment.

Some key concepts and implementation details related to Kubernetes volumes:

1️⃣. 𝐓𝐲𝐩𝐞𝐬 𝐨𝐟 𝐕𝐨𝐥𝐮𝐦𝐞𝐬:
Kubernetes supports various types of volumes, each designed for specific use cases. Some common volume types include:
- 𝐄𝐦𝐩𝐭𝐲𝐃𝐢𝐫: An empty directory is created when a pod is scheduled on a node and is deleted when the pod is removed.
- 𝐇𝐨𝐬𝐭𝐏𝐚𝐭𝐡: Uses a directory on the host machine's filesystem and mounts it into the pod.
- 𝐏𝐞𝐫𝐬𝐢𝐬𝐭𝐞𝐧𝐭𝐕𝐨𝐥𝐮𝐦𝐞: Represents a piece of networked storage in the cluster that is provisioned by an administrator and can be dynamically or statically bound to a PersistentVolumeClaim.
- 𝐂𝐨𝐧𝐟𝐢𝐠𝐌𝐚𝐩 𝐚𝐧𝐝 𝐒𝐞𝐜𝐫𝐞𝐭: Special volumes that allow you to inject configuration data or secrets into pods.
- 𝐍𝐅𝐒, 𝐀𝐖𝐒 𝐄𝐁𝐒, 𝐆𝐂𝐄 𝐏𝐃, 𝐚𝐧𝐝 𝐦𝐨𝐫𝐞: Various cloud-specific volume types are also available.

2️⃣. 𝐕𝐨𝐥𝐮𝐦𝐞 𝐋𝐢𝐟𝐞𝐜𝐲𝐜𝐥𝐞:
- When a pod using a volume is created, Kubernetes ensures that the volume is created and mounted.
- When the pod is deleted, the volume is unmounted, and the data is retained for some volume types (like PersistentVolumes) and deleted for others (like EmptyDir).

3️⃣. 𝐃𝐲𝐧𝐚𝐦𝐢𝐜 𝐏𝐫𝐨𝐯𝐢𝐬𝐢𝐨𝐧𝐢𝐧𝐠:
For cloud-based storage solutions and other external storage systems, Kubernetes can dynamically provision volumes when a PersistentVolumeClaim is created. The storage class associated with the PVC defines the storage type and configuration.

4️⃣. 𝐕𝐨𝐥𝐮𝐦𝐞 𝐀𝐜𝐜𝐞𝐬𝐬 𝐌𝐨𝐝𝐞𝐬:
Some volume types support different access modes, such as ReadWriteOnce, ReadOnlyMany, and ReadWriteMany. These modes specify whether the volume can be mounted as read-write or read-only by multiple pods.

5️⃣. 𝐒𝐭𝐚𝐭𝐞𝐟𝐮𝐥𝐒𝐞𝐭𝐬:
For stateful applications, you can use StatefulSets along with PersistentVolumes to ensure stable and unique network identities for pods. This is crucial for databases and other stateful workloads.

6️⃣. 𝐕𝐨𝐥𝐮𝐦𝐞 𝐏𝐥𝐮𝐠𝐢𝐧𝐬 𝐚𝐧𝐝 𝐂𝐒𝐈:
Kubernetes supports custom volume plugins through the Container Storage Interface (CSI). This allows third-party storage providers to integrate with Kubernetes and offer specialized storage solutions.

7️⃣. 𝐏𝐨𝐝-𝐭𝐨-𝐏𝐨𝐝 𝐂𝐨𝐦𝐦𝐮𝐧𝐢𝐜𝐚𝐭𝐢𝐨𝐧:
Volumes can also be used to share data between different pods within a cluster, enabling inter-pod communication and data sharing.


🛒 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝗳𝗼𝗿 𝗺𝗼𝗿𝗲 𝘀𝘂𝗰𝗵 𝗰𝗼𝗻𝘁𝗲𝗻𝘁 𝗮𝗿𝗼𝘂𝗻𝗱 𝗰𝗹𝗼𝘂𝗱 & 𝗗𝗲𝘃𝗢𝗽𝘀!!!
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➡️ 𝐃𝐨𝐜𝐤𝐞𝐫𝐟𝐢𝐥𝐞 𝐈𝐧𝐬𝐭𝐫𝐮𝐜𝐭𝐢𝐨𝐧𝐬:
- FROM: Sets the base image.
- RUN: Executes commands in the container.
- MAINTAINER: Identifies the image creator.
- LABEL: Adds metadata.
- ADD: Copies files (supports URLs).
- COPY: Copies files (no URLs).
- VOLUME: Creates a shared mount point.
- EXPOSE: Specifies listening port.
- WORKDIR: Sets the working directory.
- USER: Defines the user for processes.
- STOPSIGNAL: Specifies stop signal.
- ENTRYPOINT: Sets the start command.
- CMD: Sets the default command.
- ENV: Sets environment variables.

➡️ 𝐃𝐨𝐜𝐤𝐞𝐫 𝐑𝐮𝐧 𝐂𝐨𝐦𝐦𝐚𝐧𝐝𝐬:
- --name: Names the container.
- -v, --volume: Mounts a volume.
- --network: Connects to a network.
- -d, --detach: Runs in background.
- -i, --interactive: Keeps STDIN open.
- -t, --tty: Allocates a pseudo-TTY.
- --rm: Auto-removes container on exit.
- -e, --env: Sets environment variables.
- --restart: Sets restart policy.

➡️ 𝐂𝐨𝐫𝐞 𝐃𝐨𝐜𝐤𝐞𝐫 𝐂𝐨𝐧𝐜𝐞𝐩𝐭𝐬:
- Docker Image: Read-only snapshot of a container.
- Docker Container: Executable package with software and dependencies.
- Docker Client: Tool to interact with Docker.
- Docker Daemon: Service managing Docker objects.
- Docker Registry: Storage for Docker images.


✈️ 𝐅𝐨𝐥𝐥𝐨𝐰 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs
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🚨 𝗕𝗹𝘂𝗲-𝗚𝗿𝗲𝗲𝗻 𝗗𝗲𝗽𝗹𝗼𝘆𝗺𝗲𝗻𝘁 𝗼𝗻 𝗘𝗞𝗦 𝘂𝘀𝗶𝗻𝗴 𝗖𝗜𝗖𝗗 𝗣𝗶𝗽𝗲𝗹𝗶𝗻𝗲 🚀

Deploying new versions of applications without downtime is crucial for maintaining a seamless user experience.

💎 𝗞𝗲𝘆 𝗣𝗼𝗶𝗻𝘁𝘀:
𝗟𝗼𝗮𝗱 𝗕𝗮𝗹𝗮𝗻𝗰𝗲𝗿 𝗦𝗲𝗿𝘃𝗶𝗰𝗲:
Instead of using an ingress controller, we leveraged Kubernetes' LoadBalancer service to route traffic between the Blue (current live) and Green (new version) environments. This allowed us to switch traffic seamlessly once Green passed all health checks.

▶️ 𝗠𝘆𝗦𝗤𝗟 𝗗𝗮𝘁𝗮𝗯𝗮𝘀𝗲 𝗠𝗮𝗻𝗮𝗴𝗲𝗺𝗲𝗻𝘁:
We carefully handled database migrations to ensure consistency between Blue and Green environments, preventing data conflicts or downtime.

▶️ 𝗧𝗿𝗮𝗳𝗳𝗶𝗰 𝗦𝗵𝗶𝗳𝘁𝗶𝗻𝗴 & 𝗠𝗼𝗻𝗶𝘁𝗼𝗿𝗶𝗻𝗴:
Once Green was deployed and tested, traffic was rerouted through Elastic Load Balancer (ELB) in AWS. Prometheus and CloudWatch were used for monitoring during the switch, ensuring a smooth transition.

▶️ 𝗥𝗼𝗹𝗹𝗯𝗮𝗰𝗸 𝗠𝗲𝗰𝗵𝗮𝗻𝗶𝘀𝗺:
In case any issues arose during the Green deployment, the LoadBalancer could be quickly reverted to point back to the Blue environment, ensuring no impact on users.

💎 𝗕𝗲𝗻𝗲𝗳𝗶𝘁𝘀:
𝗭𝗲𝗿𝗼 𝗗𝗼𝘄𝗻𝘁𝗶𝗺𝗲:
Ensured uninterrupted service for end-users.

▶️ 𝗥𝗶𝘀𝗸 𝗠𝗶𝘁𝗶𝗴𝗮𝘁𝗶𝗼𝗻:
Quick rollback capability minimized the risk during deployments.

▶️ 𝗦𝗰𝗮𝗹𝗮𝗯𝗶𝗹𝗶𝘁𝘆:
The load balancer service efficiently handled high traffic, ensuring performance.

This deployment strategy gave us the confidence to roll out new features and updates without worrying about downtime.


📱 𝗖𝗵𝗲𝗰𝗸 𝗢𝘂𝘁 𝘁𝗵𝗲 𝗱𝗲𝘁𝗮𝗶𝗹𝗲𝗱 𝗩𝗶𝗱𝗲𝗼 𝗮𝘁 𝗗𝗲𝘃𝗢𝗽𝘀 𝗦𝗵𝗮𝗰𝗸 𝗬𝗧: https://lnkd.in/gm9-uHRb


✈️ 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs
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⚡️ Deploying an Application on Kubernetes: A Complete Guide! ⚡️

➡️https://blog.prodevopsguy.xyz/deploying-an-application-on-kubernetes-a-complete-guide


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