📢 StatefulSet in Kubernetes:

A StatefulSet in Kubernetes is a workload API object used to manage stateful applications. Unlike a Deployment, which is suitable for stateless applications, a StatefulSet is designed to manage stateful applications that require stable, unique identifiers and persistent storage.

Key features of StatefulSets include:

📢 Stable, unique network identifiers: Each Pod in a StatefulSet receives a stable hostname based on its ordinal index. This allows other Pods in the set to communicate with each other reliably.

📢 Ordered deployment and scaling: Pods in a StatefulSet are created and scaled in a predictable, ordered manner. This means that each Pod is deployed and scaled one at a time, ensuring that dependencies are respected.

📢 Persistent storage: StatefulSets support persistent storage. Each Pod in a StatefulSet can be associated with a PersistentVolumeClaim (PVC), allowing data to persist across Pod restarts or rescheduling.

📢 Rolling updates and graceful scaling: StatefulSets support rolling updates and scaling operations, allowing you to change the Pod template or the number of replicas while ensuring that each Pod is gracefully terminated and replaced according to the defined order.

📢 Headless service: StatefulSets typically require a headless service to control network identity resolution. This service does not load balance traffic, but instead provides DNS resolution for the individual Pods in the StatefulSet.

📢 StatefulSets are commonly used for applications such as databases (e.g., MySQL, PostgreSQL), messaging queues (e.g., Kafka, RabbitMQ), and other stateful workloads where maintaining identity, stable network addresses, and data persistence are critical.


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

🔴 𝐓𝐨𝐩𝐢𝐜 - Safely Through the Gates: SSH Tunneling to connect multiple remote AWS private resources.😵

Securely accessing private resources hosted on AWS is paramount. In this post, we'll explore how to securely access multiple private RDS instances, EKS, EC2, etc. on AWS using SSH tunneling.⚙️

➡️ 𝗦𝗲𝘁𝘁𝗶𝗻𝗴 𝗨𝗽 𝗦𝗦𝗛 𝗖𝗼𝗻𝗳𝗶𝗴:
To streamline the process, we can leverage SSH config files. Below is an example SSH config file tailored for accessing multiple private instances through a bastion host:
𝚌𝚊𝚝 ~/.𝚜𝚜𝚑/𝚌𝚘𝚗𝚏𝚒𝚐
𝙷𝚘𝚜𝚝 𝚛𝚍𝚜_𝚝𝚞𝚗𝚗𝚎𝚕_𝚌𝚘𝚖𝚋𝚒𝚗𝚎𝚍
𝚄𝚜𝚎𝚛 𝚞𝚋𝚞𝚗𝚝𝚞
𝙷𝚘𝚜𝚝𝚗𝚊𝚖𝚎 <𝚒𝚗𝚜𝚝𝚊𝚗𝚌𝚎 𝚒𝚍 𝚘𝚏 𝚋𝚊𝚜𝚝𝚒𝚘𝚗 𝚑𝚘𝚜𝚝>
𝙸𝚍𝚎𝚗𝚝𝚒𝚝𝚢𝙵𝚒𝚕𝚎 ~/.𝚜𝚜𝚑/𝚋𝚊𝚜𝚝𝚒𝚘𝚗-𝚑𝚘𝚜𝚝.𝚙𝚎𝚖
𝚁𝚎𝚚𝚞𝚎𝚜𝚝𝚃𝚃𝚈 𝚗𝚘
𝙿𝚛𝚘𝚡𝚢𝙲𝚘𝚖𝚖𝚊𝚗𝚍 𝚜𝚑 -𝚌 "𝚊𝚠𝚜 𝚜𝚜𝚖 𝚜𝚝𝚊𝚛𝚝-𝚜𝚎𝚜𝚜𝚒𝚘𝚗 --𝚙𝚛𝚘𝚏𝚒𝚕𝚎 𝚊𝚠𝚜-𝚙𝚛𝚘𝚏𝚒𝚕𝚎 --𝚛𝚎𝚐𝚒𝚘𝚗 𝚞𝚜-𝚎𝚊𝚜𝚝-𝟷 --𝚝𝚊𝚛𝚐𝚎𝚝 %𝚑 --𝚍𝚘𝚌𝚞𝚖𝚎𝚗𝚝-𝚗𝚊𝚖𝚎 𝙰𝚆𝚂-𝚂𝚝𝚊𝚛𝚝𝚂𝚂𝙷𝚂𝚎𝚜𝚜𝚒𝚘𝚗 --𝚙𝚊𝚛𝚊𝚖𝚎𝚝𝚎𝚛𝚜 '𝚙𝚘𝚛𝚝𝙽𝚞𝚖𝚋𝚎𝚛=%𝚙'"
𝙻𝚘𝚌𝚊𝚕𝙵𝚘𝚛𝚠𝚊𝚛𝚍 𝟻𝟺𝟹𝟷 𝚍𝚎𝚟-𝚍𝚋-𝚑𝚘𝚜𝚝𝚗𝚊𝚖𝚎:𝟻𝟺𝟹𝟸
𝙻𝚘𝚌𝚊𝚕𝙵𝚘𝚛𝚠𝚊𝚛𝚍 𝟻𝟺𝟹𝟸 𝚚𝚊-𝚍𝚋-𝚑𝚘𝚜𝚝𝚗𝚊𝚖𝚎:𝟻𝟺𝟹𝟸
𝙻𝚘𝚌𝚊𝚕𝙵𝚘𝚛𝚠𝚊𝚛𝚍 𝟻𝟺𝟹𝟹 𝚎𝚔𝚜-𝚎𝚗𝚍𝚙𝚘𝚒𝚗𝚝:𝟺𝟺𝟹

➡️ 𝗘𝘅𝗽𝗹𝗮𝗻𝗮𝘁𝗶𝗼𝗻 𝗼𝗳 𝗟𝗼𝗰𝗮𝗹𝗙𝗼𝗿𝘄𝗮𝗿𝗱 𝗥𝘂𝗹𝗲𝘀:
Each LocalForward rule defines a port forwarding configuration from a local port on your machine to a specific RDS instance:
Port 5431 forwards to the development database.
Port 5432 forwards to the QA database.
Port 5433 forwards to the EKS cluster.

➡️ 𝗛𝗼𝘄 𝘁𝗼 𝗨𝘀𝗲 𝘁𝗵𝗲 𝗦𝗦𝗛 𝗖𝗼𝗻𝗳𝗶𝗴 𝗙𝗶𝗹𝗲:
Using the provided SSH config file is straightforward. Simply save the configuration to your ~/.ssh/config file and replace ~/.ssh/bastion-host.pem with the path to your SSH private key file. Once configured, you can initiate SSH connections to the remote private instances by running "ssh rds_tunnel_combined" command

➡️ 𝗕𝗲𝗻𝗲𝗳𝗶𝘁𝘀 𝗮𝗻𝗱 𝗨𝘀𝗲 𝗖𝗮𝘀𝗲𝘀:
Enhanced security: All connections are encrypted, minimizing the risk of data interception.
Simplified access: Users can easily connect to multiple RDS instances with a single command.
Flexible configuration: The SSH config file allows for easy customization of port forwarding rules to suit different use cases.

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

🔥 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

☄️ 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 & @devopsdocs 𝗳𝗼𝗿 𝗺𝗼𝗿𝗲 𝘀𝘂𝗰𝗵 𝗰𝗼𝗻𝘁𝗲𝗻𝘁 𝗮𝗿𝗼𝘂𝗻𝗱 𝗰𝗹𝗼𝘂𝗱 & 𝗗𝗲𝘃𝗢𝗽𝘀!!!

🔥 Ansible Commands which DevOps Engineers use on daily bases: 🔣

1. ansible-playbook: Executes Ansible playbooks.
ex: ansible-playbook -i <inventory_file> <playbook.yml>

2. ansible: Runs ad-hoc commands or tasks.
ex: ansible all -m copy -a "src=/path/to/local/file dest=/path/to/remote/file"
ansible all -m yum -a "name=httpd state=latest"

3. ansible-galaxy: Manages Ansible roles.
ex: ansible-galaxy install <role_name>

4. ansible-vault: Manages encrypted data within Ansible.
ex: ansible-vault encrypt <file>

5. ansible-galaxy init role_name: Initializes a new Ansible role scaffold.
ex: ansible-galaxy init <role_name>

6. ansible-inventory: Shows Ansible's inventory.
ex: ansible-inventory --list -i /path/to/inventory/hosts

7. ansible-config: Manages Ansible configuration.
ex: ansible-config list, ansible-config view

8. ansible-pull: Pulls playbooks from a version control system and executes them locally.
ex: ansible-pull -U <repository_url> <playbook.yml>

9. ansible-playbook --syntax-check: Checks playbook syntax without executing.
ex: ansible-playbook --syntax-check <playbook.yml>

10. ansible-playbook --list-hosts: Lists hosts defined in a playbook.
ex: ansible-playbook --list-hosts playbook.yml

11. ansible-playbook --tags: Runs specific tagged tasks within a playbook.
ex: ansible-playbook --tags=tag1,tag2 playbook.yml

12. ansible-playbook --limit: Limits playbook execution to specific hosts or groups.
ex: ansible-playbook --limit=<host_pattern> <playbook.yml>

13. ansible-vault edit: Edits an encrypted file.
ex: ansible-vault edit secrets.yml

14. ansible-doc: Displays documentation for Ansible modules.
ex: ansible-doc <module_name>

15. ansible-config view: Displays the current Ansible configuration.
ex: ansible-config view

16. ansible-config dump: Dumps the current Ansible configuration variables.
ex: ansible-config dump

17. ansible-config list: Lists configuration settings.
ex: ansible-config list

18. ansible-console: Starts an interactive console for executing Ansible tasks.
ex: ansible-console

19. ansible-lint: Lints Ansible playbooks for best practices and potential errors.
ex: ansible-lint <playbook.yml>

20. ansible-vault encrypt_string: Encrypts a string for use in a playbook.
ex: ansible-vault encrypt_string <string>

21. ansible-vault rekey: Rekeys an encrypted file with a new password.
ex: ansible-vault rekey <file>


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

🐬 𝗗𝗼 𝘆𝗼𝘂 𝘂𝘀𝗲 𝗱𝗼𝗰𝗸𝗲𝗿? 𝗱𝗼 𝘆𝗼𝘂 𝗸𝗻𝗼𝘄 𝗮𝗯𝗼𝘂𝘁 𝗰𝗼𝗻𝘁𝗮𝗶𝗻𝗲𝗿 𝗹𝗶𝗳𝗲𝘁𝗶𝗺𝗲𝘀?

🗳 𝐂𝐨𝐧𝐭𝐚𝐢𝐧𝐞𝐫𝐬 are designed to run individual applications or services in an isolated environment, so they can keep running until you decide to stop them.

⏩ 𝗧𝘆𝗽𝗲𝘀 𝗼𝗳 𝗰𝗼𝗻𝘁𝗮𝗶𝗻𝗲𝗿𝘀 𝗯𝗮𝘀𝗲𝗱 𝗼𝗻 𝘁𝗵𝗲𝗶𝗿 𝗹𝗶𝗳𝗲𝘁𝗶𝗺𝗲𝘀:

𝟏. 𝐒𝐡𝐨𝐫𝐭-𝐥𝐢𝐯𝐞𝐝 𝐂𝐨𝐧𝐭𝐚𝐢𝐧𝐞𝐫𝐬 :-
These containers are designed to perform a specific task or job and exit.
➡️ 𝐄𝐱𝐚𝐦𝐩𝐥𝐞 :- A 𝐃𝐨𝐜𝐤𝐞𝐫 container that runs a simple 𝐏𝐲𝐭𝐡𝐨𝐧 𝐬𝐜𝐫𝐢𝐩𝐭 and then exits.

𝟐. 𝐋𝐨𝐧𝐠-𝐫𝐮𝐧𝐧𝐢𝐧𝐠 𝐂𝐨𝐧𝐭𝐚𝐢𝐧𝐞𝐫𝐬 :-
These containers are designed to run continuously for extended periods, hosting services or your applications. Examples include web servers, databases, or other services that need to remain operational as long as the application is running.
➡️ 𝐄𝐱𝐚𝐦𝐩𝐥𝐞: A 𝐃𝐨𝐜𝐤𝐞𝐫 container running a basic 𝐍𝐠𝐢𝐧𝐱 𝐰𝐞𝐛 𝐬𝐞𝐫𝐯𝐞𝐫.

𝟑. 𝐈𝐧𝐭𝐞𝐫𝐚𝐜𝐭𝐢𝐯𝐞 𝐂𝐨𝐧𝐭𝐚𝐢𝐧𝐞𝐫𝐬 :-
Containers can also be used interactively for debugging or testing purposes. In this case, the container may run as long as the user keeps the interactive session open.
➡️ 𝐄𝐱𝐚𝐦𝐩𝐥𝐞: An interactive 𝐃𝐨𝐜𝐤𝐞𝐫 container for running a 𝐁𝐚𝐬𝐡 𝐬𝐡𝐞𝐥𝐥.

𝟒. 𝐎𝐫𝐜𝐡𝐞𝐬𝐭𝐫𝐚𝐭𝐞𝐝 𝐂𝐨𝐧𝐭𝐚𝐢𝐧𝐞𝐫𝐬 :-
𝐊𝐮𝐛𝐞𝐫𝐧𝐞𝐭𝐞𝐬 orchestrated 𝐂𝐨𝐧𝐭𝐚𝐢𝐧𝐞𝐫𝐬 may be continuously monitored and automatically restarted if they fail or crash.
In these cases, the containers can run for a long time as they are automatically managed by the orchestrator unless interrupted externally.

𝟓. 𝐃𝐚𝐞𝐦𝐨𝐧 𝐂𝐨𝐧𝐭𝐚𝐢𝐧𝐞𝐫𝐬 :-
The last on this list are 𝐃𝐚𝐞𝐦𝐨𝐧 𝐂𝐨𝐧𝐭𝐚𝐢𝐧𝐞𝐫𝐬. Docker containers can be run as background daemons, serving a specific purpose and running as long as the system is active or until manually stopped.
➡️ 𝐄𝐱𝐚𝐦𝐩𝐥𝐞: A simple 𝐃𝐨𝐜𝐤𝐞𝐫 container running a monitoring tool like htop as a daemon.


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

⛔ 𝗗𝗲𝘃𝗢𝗽𝘀 𝗥𝗼𝗮𝗱𝗺𝗮𝗽 𝟮𝟬𝟮𝟰 🚀


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

🟩 Docker Free Videos 🐬

🔗Link : https://drive.google.com/drive/folders/1lXSplxsWu-7f4Bbb3V9o-Em4XUahWVeD?usp=sharing


❤️ Follow for more: @prodevopsguy

🟩 Ansible 🆓 Videos 🔴

🔗Link : https://drive.google.com/drive/folders/1p35HHSamOyL1Rta8hK5--4k1mPWYAXaV?usp=sharing


❤️ Follow for more: @prodevopsguy

🟩 🌐 Git/GitHub Free Videos:- 🟩

🔥 ➡️https://drive.google.com/drive/folders/1vhSsxz9oAtSh136JVo3gryaDPJAYWteF?usp=sharing

❤️ Follow for more: @prodevopsguy

➡️🐧 Linux Free Videos 🟩 :

✅Link: https://drive.usercontent.google.com/download?id=1MSo7Iwv0Xwe5bjg5fTcmjnxatULfhfLA&export=download&authuser=0


❤️ Follow for more: @prodevopsguy // Follow for DevOps DOCs: @devopsdocs

🔣 Developing applications in Kubernetes is complex and hard.

Managing resources , updating configurations and integrating with CI/CD takes up a lot of time and effort.

✅ This is where the helm comes in. Helm simplifies the process of developing applications , automating the distribution of the application. Consider it similar to a package manager , the apt or yum of kubernetes.

🟡 Some of its use cases
- Versioning of application releases and rollbacks if necessary.
- Customize configurations and charts for different environments.
- Centralized package management.
- Simplify deploying and using applications in a standardized manner.


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

🔥 DevOps Project-11: Deploy Two-Tier Architecture on AWS using Terraform ♾

🔗 Project Link: HERE
🔗 Detailed Blog Link: HERE

🔄 Project Overview :-
In the world of cloud computing, infrastructure as code (IaC) plays a pivotal role in automating the deployment and management of resources. This blog post provides a step-by-step guide on creating a Two-Tier architecture on AWS using Terraform. We’ll explore the essential services involved, ensuring high availability, security, and scalability for hosting a static website.

Also, we are adopting a modular approach with enhanced security measures. The infrastructure is organized into dedicated modules, ensuring a scalable, maintainable, and secure deployment.

❤️‍🔥 Share with friends and colleagues ❤️‍🔥

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


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

♾ DevOps and Cloud Engineering is not just about learning tools. ☄️

🔣 Learn basic working blocks for the long run:

1️⃣. How does networking work?
➡️ Keywords: TCP/IP, DNS, HTTP/S, VPN, Load Balancers, Firewalls, Network Protocols, Subnetting

2️⃣. How to pick the right database?
➡️ Keywords: SQL vs. NoSQL, ACID Properties, Scalability, Data Modeling

3️⃣. Principles of secure system design
➡️ Keywords: Encryption, Authentication, Authorization, OWASP Top 10, Security Policies, Risk Assessment, Compliance Standards (like GDPR, HIPAA).

4️⃣. What are the different kinds of storage?
➡️ Keywords: Block Storage, Object Storage, File Storage, NAS, SAN, Cloud Storage (AWS S3, Azure Blob), SSD vs. HDD.

5️⃣. What are different kinds of DR (Disaster Recovery) strategies?
➡️ Keywords: Backup and Restore, Pilot Light, Warm Standby, Multi-site, RTO (Recovery Time Objective), RPO (Recovery Point Objective).

6️⃣. Common approaches for data replication
➡️ Keywords: Master-Slave, Peer-to-Peer, Synchronous vs. Asynchronous, Data Consistency, Replication Topologies, Log Shipping.

7️⃣. When to implement caching mechanisms?
➡️ Keywords: In-memory Caches (Redis, Memcached), CDN, Cache Invalidation, Write-through vs. Write-back Cache, Cache Hit Ratio.

Tools and frameworks will change. Fundamentals remain intact.

Without fundamentals, you are incomplete.


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

What is Ansible →
➡️ Ansible is DevOps tool and it is similar like chef means it is a Configuration management tool let’s Begins with a Story → suppose you have a big organisation which have 100’s of servers Now a task is came to install git on that 100’s of servers …man responsible for doing this is System Administrator who is doing this manually which takes a lot of time…

guys!!!! we have that tool and that is Ansible→ A Configuration Management Tool…..
➡️ But !! But !! But !! First you need to connect all the nodes to ansible server which is done manually after that you will be able to automate the things…..
➡️ configuration management →It is a method through which we automate admin tasks.
➡️ It automates the task which the system administrator doing manually

Configuration management tool is of 2 types →
➡️ Pull based → In Pull Based it periodically check for the update from the main server to the nodes if update available it automatically install on the nodes connected with the server → chef and puppet is a pull based config tool.

➡️ Push based → In push based nodes is not going to the main server for the update the update is pushed to the nodes automatically for example the update of apps is pushed to your phone play store now it’s your choice whether you update or not → push based tool is Ansible when you need control in your hands so you take control of your own server for updating.

History of Ansible →
➡️ Michael Dehan developed Ansible in Feb 2012
➡️ Red Hat acquired the Ansible tool in 2015.
➡️ Ansible is available for RHEL, Debian, cent OS, Oracle Linux.
➡️ It is developed in Python background and also in Windows PowerShell.
➡️ You Can use this tool whether your server are in on premises or in the cloud.
➡️ It converted your code into infrastructure means you can say that it is a little bit called an Infrastructure building tool.


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

𝐋𝐢𝐬𝐭 𝐨𝐟 𝐟𝐫𝐞𝐞 𝐜𝐨𝐮𝐫𝐬𝐞𝐬 𝐭𝐨 𝐭𝐫𝐚𝐧𝐬𝐟𝐨𝐫𝐦 𝐘𝐨𝐮𝐫 𝐒𝐤𝐢𝐥𝐥𝐬: 𝐃𝐢𝐯𝐞 𝐢𝐧𝐭𝐨 𝐭𝐡𝐞 𝐖𝐨𝐫𝐥𝐝 𝐨𝐟 𝐃𝐞𝐯𝐎𝐩𝐬 & 𝐁𝐚𝐜𝐤𝐞𝐧𝐝 𝐰𝐢𝐭𝐡 𝐭𝐡𝐞𝐬𝐞 𝐦𝐮𝐬𝐭 𝐭𝐫𝐲 𝐅𝐫𝐞𝐞 𝐂𝐨𝐮𝐫𝐬𝐞𝐬

🔢. 𝐏𝐲𝐭𝐡𝐨𝐧:
A scripting language used for automation in DevOps.
🔗 https://lnkd.in/gTEsX2VC

🔢. 𝐆𝐢𝐭:
Distributes version control system handles everything from small to very large projects with speed and efficiency.
🔗 https://lnkd.in/gFTyTWCC

🔢. 𝐂𝐥𝐨𝐮𝐝:
Its fair to say the rapid increament of startUps is revolutionised by the cloud technology.
🔗 https://lnkd.in/gf6_8RNG

🔢. 𝐌𝐢𝐜𝐫𝐨𝐬𝐞𝐫𝐯𝐢𝐜𝐞𝐬:
An approach of making a loosely coupled application.
🔗 https://lnkd.in/gYqdHCdF

🔢. 𝐒𝐞𝐫𝐯𝐞𝐫𝐥𝐞𝐬𝐬:
Allows developers to build and run applications without worrying about servers.
🔗 https://lnkd.in/g8knM8uE

🔢. 𝐋𝐢𝐧𝐮𝐱:
Probably the most famous primitive yet secure OS to use
🔗 https://lnkd.in/ghmZybpz

🔢. 𝐃𝐞𝐯𝐎𝐩𝐬:
An exploding domain to learn (It is an ecosystem that takes care of continuous integration, delivery, deployment and monitoring)
🔗 https://lnkd.in/g6ryYv8N

🔢. 𝐃𝐨𝐜𝐤𝐞𝐫:
Packages application along with dependencies and libraries required to run the application.
🔗 https://lnkd.in/ggaqmu8p

🔢. 𝐊𝐮𝐛𝐞𝐫𝐧𝐞𝐭𝐞𝐬, 𝐎𝐩𝐞𝐧𝐒𝐡𝐢𝐟𝐭:
Manages the deployment of an application and have autoscaling and autohealing capabilities.
🔗 https://lnkd.in/gsKYTciW

🔢🔢. 𝐌𝐲𝐒𝐐𝐋:
Relational Database Management System
🔗 https://lnkd.in/gbmjQcsD


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

🟡 𝗬𝗼𝘂 𝗠𝗨𝗦𝗧 𝗟𝗲𝗮𝗿𝗻 𝘁𝗵𝗲 🐧𝗟𝗶𝗻𝘂𝘅 𝗳𝗶𝗹𝗲 𝘀𝘆𝘀𝘁𝗲𝗺

Linux's file system is tree-like. The base is "/", with everything else branching off.

➡️ Core Directories:

/bin 🛠: Essential binaries, e.g., bash, ls, grep.
/boot 🚀: Boot items like kernel & bootloader.
/dev 🔌: Device files for connected hardware.
/etc 📜: System configuration files.
/home 🏡: User home directories.
/lib 📚: Shared libraries for programs.
/media 💿: Mounts for removable media.
/mnt 🧲: Temporary mounts.
/opt 📦: Optional software.
/proc 📊: System, process, memory info.
/root 👑: Root user's home.
/sbin 🔧: System admin tools, e.g., init.
/srv 🌐: Data for services.
/tmp 🌡: Temporary files.
/usr 🖥: User software.
/var 🔄: Variable data, logs, temp files.

🐧 Linux Commands:

cd 🚶: Navigate.
ls 📋: List contents.
mkdir 📁: Create folder.
rmdir 🗑: Delete folder.
cp 📤: Copy.
mv 🚚: Move.
rm ❌: Delete.

⚠️ Note: Directories like /bin are crucial. Don't modify!

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

👾 CICD vs. CICD? You might be saying it wrong...

While CICD gets thrown around a lot, it actually refers to two separate practices that work together in the software development lifecycle: Continuous Integration (CI) and Continuous Delivery/Deployment (CD).

Here's a quick breakdown:

➡️𝗖𝗼𝗻𝘁𝗶𝗻𝘂𝗼𝘂𝘀 𝗜𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻 (𝗖𝗜): Automates the process of merging code changes from developers into a shared mainline frequently. This means every push triggers builds, tests, and catches bugs early on.

➡️𝗖𝗼𝗻𝘁𝗶𝗻𝘂𝗼𝘂𝘀 𝗗𝗲𝗹𝗶𝘃𝗲𝗿𝘆/𝗗𝗲𝗽𝗹𝗼𝘆𝗺𝗲𝗻𝘁 (𝗖𝗗): Takes CI a step further. It automates the entire delivery pipeline, allowing you to release new features or bug fixes to production environments quickly and reliably. CD can include manual approval gates before deployment, while Continuous Deployment (CD) automates deployments entirely.

Here's the key difference:

➡️𝗖𝗼𝗻𝘁𝗶𝗻𝘂𝗼𝘂𝘀 𝗗𝗲𝗹𝗶𝘃𝗲𝗿𝘆: Gives you a "deploy button" - the code is ready to be pushed to production with a manual go-ahead.

➡️𝗖𝗼𝗻𝘁𝗶𝗻𝘂𝗼𝘂𝘀 𝗗𝗲𝗽𝗹𝗼𝘆𝗺𝗲𝗻𝘁: Takes it a step further. If all automated tests pass in CD, the code is automatically deployed to production without human intervention.


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

💥 May the spirit of Holi bring you happiness. The warmth of Holi brings you joy, and the joy of Holi brings you hope. We wish you a joyous Holi! 💥

May this Holi be filled with fun, joy and love. Happy Holi 2024!


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