DevOps & Cloud (AWS, AZURE, GCP) Tech Free Learning
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DevOps project.pdf
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🚀 Simple DevOps Projects 🆓 Document © with screenshots for Freshers.


✈️ Follow for more: @prodevopsguy
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🚀 𝐊𝐮𝐛𝐞𝐫𝐧𝐞𝐭𝐞𝐬 𝐂𝐨𝐦𝐦𝐚𝐧𝐝 𝐨𝐟 𝐭𝐡𝐞 𝐃𝐚𝐲! 🚀

☄️ For today’s command, let’s focus on network diagnostics ⚙️ within Kubernetes.

This kubectl command provides a snapshot of the network policies affecting a particular pod

kubectl get networkpolicy --all-namespaces -o custom-columns='NAMESPACE:.metadata.namespace,NAME:.metadata.name,POD-SELECTOR:.spec.podSelector,INGRESS:.spec.ingress[*].from,EGRESS:.spec.egress[*].to'


This command lists all network policies across all namespaces in a custom column format. It’s useful for understanding how network traffic is controlled and which policies are applied to specific pods, aiding in both security audits and troubleshooting network issues.



🎄 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝗳𝗼𝗿 𝗺𝗼𝗿𝗲 𝘀𝘂𝗰𝗵 𝗰𝗼𝗻𝘁𝗲𝗻𝘁 𝗮𝗿𝗼𝘂𝗻𝗱 𝗰𝗹𝗼𝘂𝗱 & 𝗗𝗲𝘃𝗢𝗽𝘀!!!
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https://harshhaa.hashnode.dev/docker-for-the-absolute-beginner

Follow 🍩 Like 👍 Share 👍 Comment Your thoughts 💬

🌟 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝗳𝗼𝗿 𝗺𝗼𝗿𝗲 𝘀𝘂𝗰𝗵 𝗰𝗼𝗻𝘁𝗲𝗻𝘁 𝗮𝗿𝗼𝘂𝗻𝗱 𝗰𝗹𝗼𝘂𝗱 & 𝗗𝗲𝘃𝗢𝗽𝘀!!!
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1704166480229.pdf
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🚀 𝗔𝗻𝘀𝗶𝗯𝗹𝗲 𝗱𝗼𝗰𝘂𝗺𝗲𝗻𝘁𝗮𝘁𝗶𝗼𝗻! 📚

Hey Devops People,

Here is Ansible notes covering the most important topics.
This Doc covered the below mentioned topics in Notes.


· 𝗔𝗻𝘀𝗶𝗯𝗹𝗲 𝗢𝘃𝗲𝗿𝘃𝗶𝗲𝘄
· 𝗖𝗼𝗺𝗽𝗼𝗻𝗲𝗻𝘁𝘀 𝗢𝗳 𝗔𝗻𝘀𝗶𝗯𝗹𝗲
· 𝗖𝗼𝗻𝘁𝗿𝗼𝗹 𝗡𝗼𝗱𝗲 & 𝗠𝗮𝗻𝗮𝗴𝗲𝗱 𝗡𝗼𝗱𝗲 𝗪𝗶𝘁𝗵 𝗘𝘅𝗮𝗺𝗽𝗹𝗲𝘀
· 𝗦𝗲𝘁𝘁𝗶𝗻𝗴 𝘂𝗽 𝗔𝗻𝘀𝗶𝗯𝗹𝗲
· 𝗦𝗲𝘁𝘁𝗶𝗻𝗴 𝗨𝗽 𝗜𝗻𝘃𝗲𝗻𝘁𝗼𝗿𝘆 𝗳𝗶𝗹𝗲
· 𝗔𝗻𝘀𝗶𝗯𝗹𝗲 𝗠𝗼𝗱𝘂𝗹𝗲𝘀 𝘄𝗶𝘁𝗵 𝗲𝘅𝗮𝗺𝗽𝗹𝗲𝘀
· 𝗔𝗻𝘀𝗶𝗯𝗹𝗲 𝗣𝗹𝗮𝘆𝗯𝗼𝗼𝗸𝘀 𝗶𝗻 𝗱𝗲𝘁𝗮𝗶𝗹 𝘄𝗶𝘁𝗵 𝗲𝘅𝗮𝗺𝗽𝗹𝗲𝘀
· 𝗔𝗻𝘀𝗶𝗯𝗹𝗲 𝗣𝗹𝗮𝘆𝗯𝗼𝗼𝗸 𝗥𝗲𝗮𝗹𝘁𝗶𝗺𝗲 𝗘𝘅𝗮𝗺𝗽𝗹𝗲
· 𝗔𝗻𝘀𝗶𝗯𝗹𝗲 𝗘𝗿𝗿𝗼𝗿𝘀 & 𝗧𝗿𝗼𝘂𝗯𝗹𝗲𝘀𝗵𝗼𝗼𝘁𝗶𝗻𝗴


✉️ 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝗳𝗼𝗿 𝗺𝗼𝗿𝗲 𝘀𝘂𝗰𝗵 𝗰𝗼𝗻𝘁𝗲𝗻𝘁 𝗮𝗿𝗼𝘂𝗻𝗱 𝗰𝗹𝗼𝘂𝗱 & 𝗗𝗲𝘃𝗢𝗽𝘀!!!
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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!!!
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☄️ Top 79 Linux commands that are commonly used in DevOps:

1. ls: List directory contents
2. cd: Change directory
3. pwd: Print working directory
4. mkdir: Create a directory
5. touch: Create a file
6. cp: Copy files and directories
7. mv: Move or rename files and directories
8. rm: Remove files and directories
9. find: Search for files and directories
10. grep: Search for patterns in files
11. cat: Concatenate and display files
12. less: View file contents page by page
13.head: Display the first lines of a file
14. tail: Display the last lines of a file
15. vi/vim: Text editor
16. nano: Text editor
17. tar: Archive and compress files
18. gzip: Compress files
19. gunzip: Decompress files
20. wget: Download files from the web
21. curl: Transfer data to or from a server
22. ssh: Secure shell remote login
23. scp: Securely copy files between hosts
24. chmod: Change file permissions
25. chown: Change file ownership
26. chgrp: Change group ownership
27. ps: Display running processes
28. top: Monitor system resources and processes
29. kill: Terminate processes
30. df: Display disk space usage
31. du: Estimate file and directory space usage
32. free: Display memory usage
33. uname: Print system information
34. ifconfig: Configure network interfaces
35. ping: Test network connectivity
36. netstat: Network statistics
37. iptables: Firewall administration
38. systemctl: Manage system services
39. journalctl: Query the system journal
40. crontab: Schedule cron jobs
41. useradd: Create a user account
42. passwd: Change user password
43. su: Switch user
44. sudo: Execute a command as another user
45. usermod: Modify user account
46. groupadd: Create a group
47. groupmod: Modify a group
48. id: Print user and group information
49. ssh-keygen: Generate SSH key pairs
50. rsync: Synchronize files and directories
51. diff: Compare files line by line
52. patch: Apply a patch to files
53. tar: Extract files from an archive
54. curl: Perform HTTP requests
55. nc: Netcat - networking utility
56. wget: Download files from the web
57. whois: Lookup domain registration details
58. dig: DNS lookup utility
59. sed: Stream editor for text manipulation
60. awk: Pattern scanning and processing language
61. sort: Sort lines in a text file
62. cut: Extract sections from lines of files
63. wc: Word, line, character, and byte count
64. tee: Redirect output to multiple files or commands
65. history: Command history
66. source: Execute commands from a file in the current shell
67. alias: Create command aliases
68. ln: Create links between files
69. uname: Print system information
70. lsof: List open files and processes
71. mkfs: Create a file system
72. mount: Mount a file system
73. umount: Unmount a file system
74. ssh-agent: Manage SSH keys in memory
75. grep: Search for patterns in files
76. tr: Translate characters
77. cut: Select portions of lines from files
78. paste: Merge lines of files
79. uniq: Report or omit repeated lines


✈️ 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝗳𝗼𝗿 𝗺𝗼𝗿𝗲 𝘀𝘂𝗰𝗵 𝗰𝗼𝗻𝘁𝗲𝗻𝘁 𝗮𝗿𝗼𝘂𝗻𝗱 𝗰𝗹𝗼𝘂𝗱 & 𝗗𝗲𝘃𝗢𝗽𝘀!!!
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1️⃣. Tutorials

Terraform Course – Automate your AWS cloud infrastructure
https://lnkd.in/dvpzNT5M

HashiCorp Terraform Associate Certification Course by Andrew Brown
https://lnkd.in/dn5m2NKQ

Terraform for DevOps Beginners + Labs by KodeKloud
https://lnkd.in/d8nkTj3n

Terraform Foundations Course by Derek Morgan
https://lnkd.in/dWYByZjH

HashiCorp Terraform Associate certification exam
https://lnkd.in/dhV35bJG

Learn Terraform (and AWS) by Building a Dev Environment - Full Course for Beginners
https://lnkd.in/dA44F__P

Complete Terraform Course - From BEGINNER to PRO! (Learn Infrastructure as Code)
https://lnkd.in/dRs3YFu3

Azure Terraform Full Course I Microsoft
Azure Terraform Course

https://lnkd.in/dM-h-R8y


2️⃣. Labs

Lab 1.Terraform Introduction | Terraform Tutorial for Beginners | Terraform for DevOps Engineer
https://lnkd.in/dCpQyKNz

Lab 2. How to Use Visual Studio code for Terraform | Creating EC2 Instance using Terraform
https://lnkd.in/dvMC5a2J

Lab 3. [Scenario-1]: How to Create VPC using Terraform | AWS VPC using Terraform | AWS Terraform
https://lnkd.in/dtT3zMzF

Lab 4. AWS NAT Gateway using Terraform | AWS Private Subnet using Terraform | Terraform Tutorial
https://lnkd.in/dqTeZQdc

Lab 5. Terraform Input Variables | How to Use Terraform Input Variables | Terraform Variables
https://lnkd.in/dqsAKSyH

Lab 6. Terraform Output Variables Example | Terraform Output Values | Terraform Outputs
https://lnkd.in/dhkgFexc

Lab 7. Terraform Local Values | How to use Terraform Local Values | Terraform Locals
https://lnkd.in/dHZEW_sy

Lab 8. How to Create EC2 Instance in AWS using Terraform | Create EC2 Instance using Terraform
https://lnkd.in/dKjwzqGT

Lab 9. AWS EC2 Instance,Security Group in AWS Using Terraform | Terraform Create Security Group AWS
https://lnkd.in/dMA-J7GE


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🔐 Kubernetes Security Command of the Day! 🔐

kubectl get secrets --all-namespaces -o custom-columns='NAMESPACE:.metadata.namespace,NAME:.metadata.name,TYPE:.type,DATA:.data' 


Keep your Kubernetes secrets in check! This command lets you oversee all secrets across every namespace, helping you maintain a tight ship on security.

Whether it's API keys, passwords, or certificates, stay on top of your secret management game.


Remember, a secret isn't a secret if everyone knows about it! 😎


✉️ 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝗳𝗼𝗿 𝗺𝗼𝗿𝗲 𝘀𝘂𝗰𝗵 𝗰𝗼𝗻𝘁𝗲𝗻𝘁 𝗮𝗿𝗼𝘂𝗻𝗱 𝗰𝗹𝗼𝘂𝗱 & 𝗗𝗲𝘃𝗢𝗽𝘀!!!
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📣 New to DevOps? 📣

Here are the most widely used tools in the industry along with their official documentation:

➡️ Source Code Management:

1. Git: https://git-scm.com/docs
2. GitHub: https://docs.github.com/en
3. Bitbucket: https://lnkd.in/dA2PcM_w

➡️ Ticketing Tools:

1. Service Now: https://lnkd.in/d69yubJF
2. Jira: https://lnkd.in/dD_WcXFQ
3. Trello: https://trello.com/guide

➡️ Public Clouds:

1. AWS: https://lnkd.in/dMa9XpMa
2. Azure: https://lnkd.in/dBsJtZHy
3. GCP: https://lnkd.in/d3hmN-Jr

➡️ Containerization and Orchestration Tools:

1. Docker: https://docs.docker.com/
2. Kubernetes: https://lnkd.in/dZXfQEqW
3. Mesos: https://lnkd.in/dqzvzJhY

➡️ Deployment Tools:

1. Terraform: https://lnkd.in/dM46h2_D
2. Octopus: https://octopus.com/docs
3. Heroku: https://lnkd.in/dCDuwvcj

➡️ Testing Tools:

1. Selenium: https://lnkd.in/dTnFN8bT
2. Cucumber: https://lnkd.in/dpmD4A9C
3. Postman: https://lnkd.in/d3xERi6c

➡️ Build Tools:

1. Maven: https://lnkd.in/dfgBnrZj
2. Gradle: https://lnkd.in/dv6rQczZ
3. Ant: https://lnkd.in/dQgMsgef

➡️ Pipeline Tools:

1. Jenkins: https://lnkd.in/dPmA6-ff
2. TravisCI: https://lnkd.in/dxxFaK_X
3. Argo CD: https://lnkd.in/dK5eXbYi

➡️ Monitoring Tools:

1. Grafana: https://lnkd.in/dX5anVq9
2. Prometheus: https://lnkd.in/ddxjc9bV


🚀 Follow for more DevOps content, tips and tricks, and Hands-On Project Implementation.


🔵 Follow for more: @prodevopsguy
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Welcome to Pro DevOps Guy ❤️

• We post Daily Trending DevOps Blogs
• All New DevOps Videos & PDFs
• All Cloud/DevOps Tips & Techniques
• All Cloud/DevOps Related Code & Scripts uploaded
• DevOps/Cloud Job Related Posts
• Realtime Interview questions & preparation guides

📝 NOTE: NO PAID SHIT HERE
☄️ EXCLUSIVE WITH SOURCE CODE (SCRIPTS INCLUDED) ☄️

🔥 Zomato Clone: Secure Deployment with DevSecOps CI/CD

💎 Blog LINK : https://harshhaa.hashnode.dev/zomato-clone-secure-deployment-with-devsecops-cicd

💎 Source Code LINK : https://github.com/NotHarshhaa/Zomato-Clone

🌐FORK THE REPO


🔵 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝗳𝗼𝗿 𝗺𝗼𝗿𝗲 𝘀𝘂𝗰𝗵 𝗰𝗼𝗻𝘁𝗲𝗻𝘁 𝗮𝗿𝗼𝘂𝗻𝗱 𝗰𝗹𝗼𝘂𝗱 & 𝗗𝗲𝘃𝗢𝗽𝘀!!!
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🆘 𝗕𝗲𝘀𝘁 𝗣𝗿𝗮𝗰𝘁𝗶𝗰𝗲𝘀 𝗙𝗼𝗿 𝗔𝗪𝗦 𝗘𝗖𝟮 - 𝗗𝗼'𝘀 𝗮𝗻𝗱 𝗗𝗼𝗻'𝘁𝘀

Amazon Elastic Compute Cloud (EC2) is a web service offered by Amazon Web Services (AWS) that provides resizable compute capacity in the cloud. EC2 allows users to launch and manage virtual machines.

𝗗𝗼'𝘀

✔️ 𝗣𝗹𝗮𝗻 𝗔𝗵𝗲𝗮𝗱 📝
Map your requirements and select the right instance type to optimize performance and costs.

✔️ 𝗦𝗲𝗰𝘂𝗿𝗶𝘁𝘆 𝗙𝗶𝗿𝘀𝘁 🔐
Prioritize security groups, IAM rol

✔️ 𝗕𝗮𝗰𝗸𝘂𝗽𝘀 𝗠𝗮𝘁𝘁𝗲𝗿 💾
Regularly back up your data to S3 or use automated snapshots for peace of mind.

✔️ 𝗠𝗼𝗻𝗶𝘁𝗼𝗿𝗶𝗻𝗴 & 𝗔𝗹𝗲𝗿𝘁𝘀📊
Set up CloudWatch for real-time insights into your instances and establish alerts for critical metricses, and key pairs to safeguard your EC2 instances.

𝗗𝗼𝗻'𝘁𝘀

✔️ 𝗦𝗸𝗶𝗽𝗽𝗶𝗻𝗴 𝗦𝗲𝗰𝘂𝗿𝗶𝘁𝘆 𝗨𝗽𝗱𝗮𝘁𝗲𝘀
Don't neglect OS and software updates; this can lead to vulnerabilities.

✔️ 𝗢𝘃𝗲𝗿-𝗣𝗿𝗼𝘃𝗶𝘀𝗶𝗼𝗻𝗶𝗻𝗴 💸
Avoid selecting instances with excessive resources; it's costly and unnecessar

✔️ 𝗜𝗴𝗻𝗼𝗿𝗶𝗻𝗴 𝗖𝗼𝘀𝘁 𝗠𝗮𝗻𝗮𝗴𝗲𝗺𝗲𝗻𝘁 💰
Failing to monitor costs can lead to budget surprises. Set up billing alerts.

✔️ 𝗡𝗲𝗴𝗹𝗲𝗰𝘁𝗶𝗻𝗴 𝗠𝗼𝗻𝗶𝘁𝗼𝗿𝗶𝗻𝗴 🚫
Don't disregard CloudWatch; it's your eyes and ears in the cloud.


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😀 DevOps/Linux 🔥🆓 Videos :

🔗Link: https://drive.google.com/drive/folders/1-qLMnwCWx7GAnkYSCV3CpwQDfVgY92Sc?usp=sharing


❤️ Follow for more: @prodevopsguy
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🔔 Here is a list of some Resume Ready DevOps projects.(Part-III)

🔔 (Part-II) - LINK | (Part-I) - LINK

➡️ Deploying Super Mario on Amazon EKS
🔗 (https://lnkd.in/d2JVCw6M)

➡️ 🚀 Designing a 10-Microservices Application Deployment on EKS! 🤖
🔗 (https://lnkd.in/dFuq9mMA)

➡️ Uber Clone DevSecOps Project
🔗 (https://lnkd.in/dTXm9_h9)

➡️ 3-Tier Robot Shop App On EKS
🔗 (https://lnkd.in/dtFK8Xj7)

➡️ Full Stack CICD Virtual Browser Project
🔗 (https://lnkd.in/d2ZErR2b)


💬 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝗳𝗼𝗿 𝗺𝗼𝗿𝗲 𝘀𝘂𝗰𝗵 𝗰𝗼𝗻𝘁𝗲𝗻𝘁 𝗮𝗿𝗼𝘂𝗻𝗱 𝗰𝗹𝗼𝘂𝗱 & 𝗗𝗲𝘃𝗢𝗽𝘀!!!
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1⃣. TUTORIALS

🔴 Learn Jenkins! Complete Jenkins Course - Zero to Hero
🔗 https://lnkd.in/dGrGmhut

🔴 Jenkins CI CD By Mr. Ashok | DevOps Tools
🔗 https://lnkd.in/d9swuiWJ

🔴 Jenkins Full Course | Jenkins Tutorial For Beginners
🔗 https://lnkd.in/d-_qhBXM

🔴 Jenkins Full Course in 4 Hours | Jenkins Tutorial For Beginners
🔗 https://lnkd.in/d-wjPAKh

🔴 Jenkins Tutorial for Beginners
🔗 https://lnkd.in/dDrrsnTg

🔴 Jenkins Full Course
🔗 https://lnkd.in/dRXbYtXd

🔴 Advanced Jenkins tutorial
🔗 https://lnkd.in/dVcxrYE3

🔢. LABS

🔴 Jenkins Tutorial - How to Deploy a Test Server with Docker + Linux (Full Course)
🔗 https://lnkd.in/dNG2jBFN

🔴 Live DevOps Project for Resume - Jenkins CICD with Git Hub Integration
🔗 https://lnkd.in/dGcmFHMY

🔴 JENKINS PIPELINE FROM SCRATCH
🔗 https://lnkd.in/dm29aWBa

🔴 Amit Kumar Gupta : Cicd Series 1-9
🔗 https://lnkd.in/dvitBdfd

🔴 CICD pipeline for Java application to deploy on kubernetes cluster using Jenkins
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❤️‍🔥 A basic overview of deploying applications on Kubernetes. ❤️‍🔥

Here's the step-by-step explanation for the deployment process of applications on Kubernetes:

➡️ Write Application Code: This is the initial step where developers write the application code. This could be in any programming language or framework based on the application requirements.

➡️ Version Control with Git:
‣ Once the application code is written, it is committed to a version control system.

‣ Git is a popular distributed version control system that tracks changes in source code during software development.

‣ Developers use Git to collaborate, track changes, and maintain a history of code revisions.

➡️Containerize Application with Docker:
‣ The application is then packaged into a container using Docker.

‣ Docker allows you to package an application with all its dependencies into a standardized unit for software development.

‣ This ensures that the application runs consistently across different environments.

➡️ Push to Container Registry with Artifactory:
‣ Once the application is containerized, the Docker image is pushed to a container registry.

‣ Artifactory is a binary repository manager, which can be used to host Docker images among other binaries.

‣ The container registry stores Docker images and allows them to be pulled when needed for deployment.

➡️ Create Deployment Configuration with Kubernetes YAML:
‣ A Kubernetes Deployment configuration is created using YAML (Yet Another Markup Language).

‣ This configuration defines how the application should run inside the Kubernetes cluster, including the desired state, replicas, and other specifications.

➡️ Deploy to Kubernetes Cluster with Kubectl:
‣ The Kubernetes Deployment configuration is applied to the Kubernetes cluster using kubectl, the Kubernetes command-line tool.

‣ This initiates the deployment process, and Kubernetes ensures that the desired state defined in the configuration is achieved within the cluster.

➡️ Service Exposes App Inside Cluster:
‣ A Kubernetes Service is created to expose the application internally within the Kubernetes cluster.

‣ This allows other services or applications within the cluster to communicate with the deployed application.

➡️ Expose App to External Users with Ingress Controller:
‣ To make the application accessible to external users, an Ingress resource is defined.

‣ The Ingress Controller manages the Ingress resources and ensures that external traffic is routed to the appropriate services within the cluster.


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🚀 Excited to share the power of Prometheus in the world of 𝐃𝐞𝐯𝐎𝐩𝐬! 🌐

👉 𝐖𝐡𝐚𝐭 𝐢𝐬 𝐏𝐫𝐨𝐦𝐞𝐭𝐡𝐞𝐮𝐬?
Prometheus is an open-source monitoring and alerting toolkit designed for reliability and scalability. It's your go-to companion for gaining deep insights into your infrastructure and applications.

Here are some key points highlighting the advantages and applications of Prometheus:

🔢. 𝐑𝐞𝐚𝐥-𝐭𝐢𝐦𝐞 𝐌𝐨𝐧𝐢𝐭𝐨𝐫𝐢𝐧𝐠 📊:
➡️ Prometheus provides robust real-time monitoring, allowing DevOps teams to gain insights into system performance and quickly identify issues.

🔢. 𝐒𝐜𝐚𝐥𝐚𝐛𝐢𝐥𝐢𝐭𝐲 🚀:
➡️ Its scalable architecture makes Prometheus suitable for both small-scale setups and large, complex environments, ensuring adaptability as your infrastructure grows.

🔢. 𝐌𝐮𝐥𝐭𝐢-𝐝𝐢𝐦𝐞𝐧𝐬𝐢𝐨𝐧𝐚𝐥 𝐃𝐚𝐭𝐚 𝐌𝐨𝐝𝐞𝐥 🔄:
➡️ Embrace the flexibility of Prometheus' multi-dimensional data model, which simplifies querying and reporting, providing a comprehensive view of your system.

🔢. 𝐀𝐥𝐞𝐫𝐭𝐢𝐧𝐠 𝐚𝐧𝐝 𝐍𝐨𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 🚨:
➡️ Enjoy proactive alerting capabilities that empower teams to detect anomalies and potential issues before they impact users, enabling a more reliable and resilient infrastructure.

🔢. 𝐒𝐞𝐫𝐯𝐢𝐜𝐞 𝐃𝐢𝐬𝐜𝐨𝐯𝐞𝐫𝐲 🌐:
➡️ Prometheus seamlessly integrates with service discovery mechanisms, making it an excellent choice for dynamic environments where instances and services may change dynamically.

🔢. 𝐑𝐢𝐜𝐡 𝐐𝐮𝐞𝐫𝐲 𝐋𝐚𝐧𝐠𝐮𝐚𝐠𝐞 💬:
➡️ Leverage Prometheus Query Language (PromQL) to perform complex queries and obtain meaningful insights, enabling a deep dive into the performance metrics of your applications.

🔢. 𝐎𝐩𝐞𝐧 𝐒𝐨𝐮𝐫𝐜𝐞 𝐂𝐨𝐦𝐦𝐮𝐧𝐢𝐭𝐲 🤝:
➡️ Engage with a vibrant and supportive open-source community that continually contributes to Prometheus' development, ensuring a cutting-edge and evolving monitoring solution.

🔢. 𝐈𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧 𝐰𝐢𝐭𝐡 𝐆𝐫𝐚𝐟𝐚𝐧𝐚 📈:
➡️ Combine the power of Prometheus with Grafana for visually appealing and interactive dashboards, providing a user-friendly interface for monitoring and analysis.

🔢. 𝐂𝐨𝐧𝐭𝐚𝐢𝐧𝐞𝐫𝐢𝐳𝐚𝐭𝐢𝐨𝐧 𝐒𝐮𝐩𝐩𝐨𝐫𝐭 🐳:
➡️ Prometheus natively supports containerized environments, making it an ideal choice for organizations embracing container orchestration platforms like Kubernetes.

🔢🔢. 𝐂𝐥𝐨𝐮𝐝-𝐍𝐚𝐭𝐢𝐯𝐞 𝐌𝐨𝐧𝐢𝐭𝐨𝐫𝐢𝐧𝐠 ☁️:
➡️ Seamlessly adapt Prometheus to your cloud-native ecosystem, gaining visibility into distributed architectures and microservices.


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