Dont create Dockerfiles 🐬 manually

Do this instead 👇

➡️Docker Desktop has a command-line utility called 𝗱𝗼𝗰𝗸𝗲𝗿 𝗶𝗻𝗶𝘁, which simplifies the process of creating a Dockerfile based on the source code.

If you have Docker Desktop version 4.19.0 or later installed on your system, you can use the docker init command.

By running the docker init command in your project workspace, it will create the following files based on your project:

- Dockerfile
- compose.yaml
- .dockerignore

The generated Dockerfile follows best practices like adding minimal base images, non-root users, cache etc.

It also adds comments for beginners to understand everything in the Dockerfile.

You can get started with docker init using the following hands-on guide.

➡️𝗗𝗲𝘁𝗮𝗶𝗹𝗲𝗱 𝗕𝗹𝗼𝗴: https://lnkd.in/g_zW3nZE

Currently docker init supports GO, Python, Node, Rust, Java etc

✅ 𝗡𝗼𝘁𝗲: When using Docker init for projects, you will need to customize the base image and add other parameters based on your project requirements.


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

📣 DevOps Engineer for a Security based company in Bangalore!


✅ YOE: 2 to 5 years

✅ Mandatory Skills: Python,Jenkins,Ansible,Terraform,AWS,Linux

📍 Location: Bangalore

📌 Notice Period: 30Days or less

✉️ If interested, Please send resume at krystal@peoplegamut.com


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

🔔 50 Ansible Real-Time Use Cases


➡️ In this article, we will discuss what is Ansible in DevOps and its use cases? You can explain to someone that Ansible is just an automation tool. but, with the abundance of automation tools available, such as Jenkins, Nagios, Docker, and Kubernetes, what makes Ansible new? Put simply, you could say that all of these tools are also tools for automation; the kind of automation you want to achieve will depend on what you want to automate.

➡️For example, Jenkins is a good option if you want to automate testing and deployment. You can use Ansible to automate configuration-level tasks.


𝑓𝑜𝑟 𝑚𝑜𝑟𝑒 𝑖𝑛𝑓𝑜, 𝑦𝑜𝑢 𝑐𝑎𝑛 𝑐ℎ𝑒𝑐𝑘 𝑡ℎ𝑖𝑠 𝑙𝑖𝑛𝑘:
🖥 https://prodevopsguy.site/50-ansible-real-time-use-cases


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

𝗗𝗼𝗰𝗸𝗲𝗿 🐬 𝗖𝗼𝘀𝘁 𝗢𝗽𝘁𝗶𝗺𝗶𝘇𝗮𝘁𝗶𝗼𝗻𝘀 :-

✅ 𝐎𝐩𝐭𝐢𝐦𝐢𝐳𝐞 𝐲𝐨𝐮𝐫 𝐃𝐨𝐜𝐤𝐞𝐫 𝐛𝐮𝐢𝐥𝐝𝐬 𝐢𝐬 𝐛𝐲 𝐮𝐬𝐢𝐧𝐠 𝐚 .𝐝𝐨𝐜𝐤𝐞𝐫𝐢𝐠𝐧𝐨𝐫𝐞 𝐟𝐢𝐥𝐞 to exclude unnecessary files and directories from the build context, similar to a .gitignore file. This reduces the amount of data sent to the Docker daemon during builds, speeding up the build process and reducing resource consumption.

✅ 𝐕𝐞𝐫𝐬𝐢𝐨𝐧 𝐏𝐢𝐧𝐧𝐢𝐧𝐠 𝐟𝐨𝐫 𝐃𝐞𝐩𝐞𝐧𝐝𝐞𝐧𝐜𝐢𝐞𝐬: To ensure consistency and prevent unexpected changes during builds, it’s advisable to pin versions of the packages and base images you are using. This practice not only helps in making builds more predictable but also optimizes the use of the build cache by avoiding unnecessary invalidations when dependencies are updated.

✅ 𝐌𝐢𝐧𝐢𝐦𝐢𝐳𝐢𝐧𝐠 𝐭𝐡𝐞 𝐢𝐦𝐚𝐠𝐞 𝐬𝐢𝐳𝐞 𝐛𝐲 𝐜𝐥𝐞𝐚𝐧𝐢𝐧𝐠 𝐮𝐩 𝐮𝐧𝐧𝐞𝐜𝐞𝐬𝐬𝐚𝐫𝐲 𝐟𝐢𝐥𝐞𝐬 𝐚𝐧𝐝 𝐝𝐢𝐫𝐞𝐜𝐭𝐨𝐫𝐢𝐞𝐬 within your Dockerfile can also lead to cost savings in storage and transfer. This includes removing temporary files and caches that are not needed in the final image.

✅ 𝐔𝐬𝐢𝐧𝐠 𝐥𝐢𝐠𝐡𝐭𝐰𝐞𝐢𝐠𝐡𝐭 𝐛𝐚𝐬𝐞 𝐢𝐦𝐚𝐠𝐞𝐬 is a highly effective strategy for optimizing Docker costs. Alpine Linux is a popular choice due to its minimal footprint, which can significantly reduce the overall size of your containers. This reduction in size not only decreases storage costs but also speeds up the time required for downloading and deploying images, making your operations more efficient.

✅ 𝐑𝐞𝐠𝐮𝐥𝐚𝐫𝐥𝐲 𝐩𝐫𝐮𝐧𝐢𝐧𝐠 𝐮𝐧𝐮𝐬𝐞𝐝 𝐃𝐨𝐜𝐤𝐞𝐫 𝐨𝐛𝐣𝐞𝐜𝐭𝐬 𝐬𝐮𝐜𝐡 𝐚𝐬 𝐢𝐦𝐚𝐠𝐞𝐬, 𝐜𝐨𝐧𝐭𝐚𝐢𝐧𝐞𝐫𝐬, 𝐯𝐨𝐥𝐮𝐦𝐞𝐬, 𝐚𝐧𝐝 𝐧𝐞𝐭𝐰𝐨𝐫𝐤𝐬 is an essential practice to free up disk space and enhance the performance of your Docker environment

✅ 𝐌𝐚𝐧𝐚𝐠𝐢𝐧𝐠 𝐭𝐡𝐞 𝐯𝐨𝐥𝐮𝐦𝐞 𝐨𝐟 𝐥𝐨𝐠𝐬 𝐠𝐞𝐧𝐞𝐫𝐚𝐭𝐞𝐝 𝐛𝐲 𝐃𝐨𝐜𝐤𝐞𝐫 𝐜𝐨𝐧𝐭𝐚𝐢𝐧𝐞𝐫𝐬 is crucial for preventing excessive disk usage and associated costs. Docker offers several strategies for configuring log rotation and retention policies.

✅ 𝐎𝐩𝐭𝐢𝐦𝐢𝐳𝐢𝐧𝐠 𝐡𝐞𝐚𝐥𝐭𝐡 𝐜𝐡𝐞𝐜𝐤𝐬 𝐟𝐨𝐫 𝐃𝐨𝐜𝐤𝐞𝐫 𝐜𝐨𝐧𝐭𝐚𝐢𝐧𝐞𝐫𝐬 is essential for ensuring that your applications run smoothly without wasting resources on unnecessary operations. Properly configured health checks help prevent the deployment of unhealthy containers that can degrade performance and increase costs due to resource wastage.

✅ 𝐒𝐞𝐭𝐭𝐢𝐧𝐠 𝐫𝐞𝐬𝐨𝐮𝐫𝐜𝐞 𝐥𝐢𝐦𝐢𝐭𝐬 𝐨𝐧 𝐃𝐨𝐜𝐤𝐞𝐫 𝐜𝐨𝐧𝐭𝐚𝐢𝐧𝐞𝐫𝐬 is crucial to ensure efficient resource use and prevent any single service from consuming more than its fair share.


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

🆕 Hiring for DevOps Engineer

➡️ Experience:- 2-4 years
➡️ Skills:- Docker, Kubernetes, Terraform, ANSIBLE, CI/CD Pipeline, AWS, LINUX, Python
📍 Location - Bangalore

✉️ Interested candidates can share their resume on
priya@fxconsulting.in


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

Let's walk through essential 🐧 Linux commands -

📂 𝟭. 𝗙𝗶𝗹𝗲 𝗮𝗻𝗱 𝗗𝗶𝗿𝗲𝗰𝘁𝗼𝗿𝘆 𝗠𝗮𝗻𝗮𝗴𝗲𝗺𝗲𝗻𝘁 🗂
- 𝚕𝚜: List files and directories in the current location
- 𝚙𝚠𝚍: Display the current working directory path
- 𝚌𝚍: Navigate between directories
- 𝚖𝚔𝚍𝚒𝚛: Create new directories
- 𝚛𝚖𝚍𝚒𝚛: Remove empty directories
- 𝚝𝚘𝚞𝚌𝚑: Create new files
- 𝚌𝚙: Duplicate files or directories
- 𝚖𝚟: Move or rename files and directories
- 𝚛𝚖: Delete files or directories

🔧 𝟮. 𝗣𝗿𝗼𝗰𝗲𝘀𝘀 𝗠𝗮𝗻𝗮𝗴𝗲𝗺𝗲𝗻𝘁
- 𝚙𝚜: View running processes
- 𝚝𝚘𝚙: Monitor active processes in real-time
- 𝚑𝚝𝚘𝚙: Interact with processes using a user-friendly interface
- 𝚔𝚒𝚕𝚕: Stop a specific process
- 𝚔𝚒𝚕𝚕𝚊𝚕𝚕: Terminate all occurrences of a process
- 𝚙𝚜𝚝𝚛𝚎𝚎: Visualize processes in a hierarchical tree structure 🌲

👥 𝟯. 𝗨𝘀𝗲𝗿 𝗮𝗻𝗱 𝗚𝗿𝗼𝘂𝗽 𝗠𝗮𝗻𝗮𝗴𝗲𝗺𝗲𝗻𝘁
- 𝚙𝚊𝚜𝚜𝚠𝚍: Update user passwords
- 𝚞𝚜𝚎𝚛𝚊𝚍𝚍: Create new users
- 𝚞𝚜𝚎𝚛𝚍𝚎𝚕: Remove users
- 𝚐𝚛𝚘𝚞𝚙𝚜: List groups a user belongs to
- 𝚞𝚜𝚎𝚛𝚖𝚘𝚍: Modify user account details
- 𝚒𝚍: Show user and group information
- 𝚐𝚛𝚘𝚞𝚙𝚊𝚍𝚍: Create new groups
- 𝚐𝚛𝚘𝚞𝚙𝚍𝚎𝚕: Remove groups

💾 𝟰. 𝗦𝘆𝘀𝘁𝗲𝗺 𝗜𝗻𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝗼𝗻 🖥
- 𝚞𝚗𝚊𝚖𝚎: Display system details
- 𝚍𝚏: Check disk space usage
- 𝚍𝚞: Estimate file and directory sizes
- 𝚏𝚛𝚎𝚎: Show available memory
- 𝚕𝚜𝚌𝚙𝚞: Provide CPU architecture information
- 𝚕𝚜𝚑𝚠: List hardware components
- 𝚕𝚜𝚋𝚕𝚔: Display block devices

🌐 𝟱. 𝗡𝗲𝘁𝘄𝗼𝗿𝗸 𝗖𝗼𝗻𝗳𝗶𝗴𝘂𝗿𝗮𝘁𝗶𝗼𝗻 𝗮𝗻𝗱 𝗠𝗼𝗻𝗶𝘁𝗼𝗿𝗶𝗻𝗴 🕸
- 𝚒𝚏𝚌𝚘𝚗𝚏𝚒𝚐: Manage network interfaces
- 𝚒𝚙: Control routing, devices, and tunnels
- 𝚙𝚒𝚗𝚐: Verify network connectivity
- 𝚗𝚎𝚝𝚜𝚝𝚊𝚝: Analyze network statistics
- 𝚜𝚜: Investigate socket connections
- 𝚝𝚛𝚊𝚌𝚎𝚛𝚘𝚞𝚝𝚎: Track packet routes and delays
- 𝚜𝚜𝚑: Establish secure remote connections
- 𝚗𝚌: Swiss army knife for TCP/IP networking

📦 𝟲. 𝗣𝗮𝗰𝗸𝗮𝗴𝗲 𝗠𝗮𝗻𝗮𝗴𝗲𝗺𝗲𝗻𝘁 📥
- 𝚊𝚙𝚝-𝚐𝚎𝚝, 𝚊𝚙𝚝: Manage packages on Debian-based systems
- 𝚢𝚞𝚖, 𝚍𝚗𝚏: Handle packages on RPM-based systems
- 𝚛𝚙𝚖: Manage RPM packages
- 𝚍𝚙𝚔𝚐: Manage Debian packages
- 𝚜𝚗𝚊𝚙: Work with the universal Linux package system
- 𝚣𝚢𝚙𝚙𝚎𝚛: Manage packages on openSUSE

📜 𝟳. 𝗙𝗶𝗹𝗲 𝗩𝗶𝗲𝘄𝗶𝗻𝗴 𝗮𝗻𝗱 𝗘𝗱𝗶𝘁𝗶𝗻𝗴 📝
- 𝚌𝚊𝚝: Display file contents
- 𝚕𝚎𝚜𝚜: View files with navigation controls
- 𝚖𝚘𝚛𝚎: Another file viewing tool
- 𝚟𝚒𝚖: Use the powerful Vim text editor
- 𝚐𝚎𝚍𝚒𝚝: Edit files using the GNOME text editor
- 𝚗𝚊𝚗𝚘: Edit files with the user-friendly Nano editor


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

𝐎𝐛𝐬𝐞𝐫𝐯𝐚𝐛𝐢𝐥𝐢𝐭𝐲 𝐰𝐢𝐭𝐡 𝐏𝐫𝐨𝐦𝐞𝐭𝐡𝐞𝐮𝐬 𝐚𝐧𝐝 𝐓𝐞𝐥𝐞𝐦𝐞𝐭𝐫𝐲 𝐃𝐚𝐭𝐚 𝐏𝐥𝐚𝐭𝐟𝐨𝐫𝐦𝐬⚠️

Observability is the ability to understand the internal state of a system by analyzing its outputs. It is a critical concept for monitoring and troubleshooting complex software systems and infrastructure.

Prometheus and telemetry data platforms are two tools that can be used to improve observability.

✅Prometheus is an open-source monitoring system that collects metrics from systems and applications.

✅Telemetry data platforms collect and store telemetry data from different sources, such as logs, metrics, and traces.

By combining Prometheus and telemetry data platforms, organizations can gain a deeper understanding of their systems and infrastructure.

This can help them to identify and troubleshoot problems more quickly, improve performance, and prevent outages.

🔗Combining Prometheus and Telemetry Data Platform:

Prometheus is an open-source monitoring system that collects metrics from various components of your application or infrastructure.

The Telemetry Data Platform (TDP) is a cloud-based data store that can ingest telemetry data from Prometheus, as well as other sources such as logs and traces.

Here are some of the benefits of combining Prometheus and TDP:

✅Comprehensive insights: Combining Prometheus and TDP provides a more comprehensive view of system health and performance.

✅Faster troubleshooting: Correlating metrics, logs, and traces can help you to quickly identify and resolve issues.

✅Holistic understanding: The TDP can give you a deeper understanding of system interactions and dependencies.

✅Efficient alerting: Intelligent alerting based on correlated data can minimize false positives and improve incident response.


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

DevOps 👾 Automation with Shell Scripts 🚀

➡️ In the fast-paced world of software development, agility and efficiency are paramount. DevOps, the integration of development and operations, has become a key approach to achieving these goals. One of the cornerstones of DevOps is automation, and when it comes to automation, shell scripting emerges as a powerful ally.


𝑓𝑜𝑟 𝑚𝑜𝑟𝑒 𝑖𝑛𝑓𝑜, 𝑦𝑜𝑢 𝑐𝑎𝑛 𝑐ℎ𝑒𝑐𝑘 𝑡ℎ𝑖𝑠 𝑙𝑖𝑛𝑘:
🖥 https://prodevopsguy.site/devops-automation-using-shell-scripts


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

👨‍💻 HashiCorp Certified: Terraform Associate – Hands-On Labs

👉 Source -
https://www.udemy.com/course/terraform-hands-on-labs/

👉 Download link -
https://drive.google.com/drive/u/0/mobile/folders/1GhcXYuHd72K0uXscjqVnQ3ltNqJWZV2N?usp=sharing


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

🚨 To strengthen your Kubernetes practical experience...

⭐️ You Should Know these 9 Kubernetes Open Source Github Repos

𝟭. 𝗥𝗼𝗼𝗸:
𝘊𝘢𝘵𝘦𝘨𝘰𝘳𝘺: Cloud Native Storage
𝘙𝘦𝘱𝘰: https://lnkd.in/gvEq8kXD

𝟮. 𝗖𝗼𝗻𝘁𝗮𝗶𝗻𝗲𝗿𝗱:
𝘊𝘢𝘵𝘦𝘨𝘰𝘳𝘺: Container Runtime
𝘙𝘦𝘱𝘰: https://lnkd.in/gvkKhqv7

𝟯. 𝗖𝗶𝗹𝗶𝘂𝗺:
𝘊𝘢𝘵𝘦𝘨𝘰𝘳𝘺: Cloud Native Network
𝘙𝘦𝘱𝘰: https://lnkd.in/gggWeZzP

𝟰. 𝗞𝘂𝗯𝗲𝗘𝗱𝗴𝗲:
𝘊𝘢𝘵𝘦𝘨𝘰𝘳𝘺: Automation & Configuration
𝘙𝘦𝘱𝘰: https://lnkd.in/gavND-7s

𝟱. 𝗖𝗿𝗼𝘀𝘀𝗽𝗹𝗮𝗻𝗲:
𝘊𝘢𝘵𝘦𝘨𝘰𝘳𝘺: Scheduling & Orchestration
𝘙𝘦𝘱𝘰: https://lnkd.in/gvw4VMS9

𝟲. 𝗛𝗮𝗿𝗯𝗼𝗿:
𝘊𝘢𝘵𝘦𝘨𝘰𝘳𝘺: Container Registry
𝘙𝘦𝘱𝘰: https://lnkd.in/g-sERvjv

𝟳. 𝗙𝗮𝗹𝗰𝗼:
𝘊𝘢𝘵𝘦𝘨𝘰𝘳𝘺: Security & Compliance
𝘙𝘦𝘱𝘰: https://lnkd.in/g2yAc_AJ

𝟴. 𝗧𝗲𝗹𝗲𝗽𝗼𝗿𝘁:
𝘊𝘢𝘵𝘦𝘨𝘰𝘳𝘺: Key Management
𝘙𝘦𝘱𝘰: https://lnkd.in/gW24Wm5z

𝟵. 𝗟𝗶𝗻𝗸𝗲𝗿𝗱:
𝘊𝘢𝘵𝘦𝘨𝘰𝘳𝘺: Service Mesh
𝘙𝘦𝘱𝘰: https://lnkd.in/gNUdKEsz


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

🚀 Exciting Tech Talk! ✨

Unlock the Power of Automation with Ansible! 🌐💻

📌 Ansible, the ultimate IT automation tool, brings efficiency to your tasks with these key features:
🔢 IT Automation
🔢 Configuration Management
🔢 Automated Deployment

🛠 Dive into the Pool Configuration Tool:

➡️ Nodes: Systems waiting to be configured and regularly check with the server and fetch configurations.
➡️ Module: Your configuration code file
➡️ Inventory: A handy document grouping nodes under specific labels

📘 Master the Playbook:
- The core of Ansible, a set of instructions to configure nodes.
- Written in YAML for simplicity and flexibility.

📊 Meet the Inventory:
- a. Webserver
- b. Database server

🌐 Elevate with Ansible Tower by Red Hat:
- A framework that enriches Ansible.
- Provides a sleek GUI, reducing dependency on the 'cmd' window.

🚀 Streamline your operations, automate with Ansible! 💪💡


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

🔥 YOUTUBE CHANNELS TO LEARN DEVOPS 🔥

❓ Note: This tutorial should be followed, the way I numbered it.

⚡️ COMPLETE DEVOPS TUTORIAL:

➡️ 1. DevOps Pre-requisite
https://lnkd.in/dD9Z_5qA

➡️ 2. Networking
https://lnkd.in/dEmZ8zhY

https://lnkd.in/dwfmwmA9

➡️ 3. Linux
https://lnkd.in/d7gzxH5z

https://lnkd.in/dr4pjCV3

https://lnkd.in/dzTQE4b7

➡️ 4. Shell scripting
https://lnkd.in/dKrD_up7

https://lnkd.in/dJVqMt3Y

https://lnkd.in/d7VVbbNJ

➡️ 5. Git & GitHub
https://lnkd.in/dEp3KrTJ

https://lnkd.in/d6aM7Ek7

https://lnkd.in/duksFRgG

https://lnkd.in/ddpKXxqt

➡️ 6. Databases
https://lnkd.in/duMVr4bn

https://lnkd.in/dnUQ_uGe

➡️ 7. Artifact Repository Manager
https://lnkd.in/dgNHs7WD

➡️ 8. Docker
https://lnkd.in/dPddbJTf

https://lnkd.in/dnjHdxPR

➡️ 9. Jenkins
https://lnkd.in/dMHv9T8U

https://lnkd.in/dcynPYYH

➡️ 10. AWS
https://lnkd.in/dz7d5qEc

https://lnkd.in/dmi-TMv9

https://lnkd.in/dx-iqVNe

➡️ 11. SSH
🟢 Mobaxterm :
https://lnkd.in/ds7nUhbx

🟢 Putty :
https://lnkd.in/gGgW7Ns9

➡️ 12. Yaml
https://lnkd.in/dNqrXjmV

https://lnkd.in/dNqrXjmV

➡️ 13. Kubernetes
https://lnkd.in/duGZwHYX

https://lnkd.in/de84ESNv

➡️ 14. Helm
https://lnkd.in/ds_8WB7G

➡️ 15. Terraform
https://lnkd.in/dvpzNT5M

https://lnkd.in/dRs3YFu3

https://lnkd.in/d8nkTj3n

➡️ 16. Python
https://lnkd.in/d-EhshQz

https://lnkd.in/dYjay9ia

https://lnkd.in/dFtNz_9D

https://lnkd.in/dcYq8nE2

➡️ 17. Ansible
https://lnkd.in/dGKkrXrA

https://lnkd.in/dNugwtVW

https://lnkd.in/dhknHJXp

➡️ 18. Prometheus
https://lnkd.in/dpXhmVqs

https://lnkd.in/dStQbpRX

➡️ 19. Grafana
https://lnkd.in/ddAV7_-p

https://lnkd.in/dRwfE7A4

HAPPY LEARNING 📌

©: @prodevopsguy

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

📣 Hiring DevSecOps Engineer


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

⛈ Knowing these 20 AWS ☁️ services makes you an AWS DevOps expert!

⏩Infra as code
- AWS CloudFormation
- AWS CDK

⏩Monitoring & Logging
- AWS CloudWatch
- AWS CloudTrail

⏩CI/CD
- AWS CodePipeline
- AWS CodeBuild
- AWS CodeDeploy

⏩Configuration Management
- AWS Systems Manager
- AWS OpsWorks

⏩Security
- AWS IAM
- AWS KMS

⏩Networking
- AWS VPC
- AWS Direct Connect

⏩Containers
- AWS ECS
- AWS ECR
- AWS EKS

⏩Serverless
- AWS Lambdas
- AWS API Gateway

⏩Databases
- AWS RDS
- AWS DynamoDB


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

𝐀𝐳𝐮𝐫𝐞 𝐍𝐞𝐭𝐰𝐨𝐫𝐤 𝐑𝐞𝐟𝐞𝐫𝐞𝐧𝐜𝐞 𝐀𝐫𝐜𝐡𝐢𝐭𝐞𝐜𝐭𝐮𝐫𝐞❗️

Planning a microservices architecture on Microsoft Azure? This post dives into the essential network components that will ensure your application is secure, scalable, and highly available.

🔶 Azure's Networking Powerhouse for Microservices:

✔️ Azure Virtual Network (VNet): The foundation for isolating and segmenting your network within Azure. VNets allow secure communication between microservices and, if needed, with the internet.

✔️ Azure Load Balancer or Azure Application Gateway: Distribute traffic evenly across your services or instances.

🔷 Load Balancer: Operates at layer 4 (TCP/UDP), perfect for general traffic distribution.

🔷 Application Gateway: A layer 7 (HTTP/HTTPS) option offering advanced features like SSL termination, WAF (Web Application Firewall), and URL-based routing – ideal for HTTP-based microservices.

✔️ Network Security Groups (NSGs): Enforce security rules at the subnet or network interface level, safeguarding your microservices from unauthorized traffic.

✔️ Azure DNS: Provides name resolution using Microsoft's infrastructure, crucial for service discovery within your microservices architecture.


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

📣 Hiring DevOps Engineer


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

⚡️ Looking for a DevOps Engineer.

🔣Minimum 2+yrs experience, exposure in CI/CD pipelines using tools like Jenkins, GitLab CI/CD, or similar solutions.

🔣Knowledge of Cloud infra(Oracle) is an added advantage.

📧 Mail updated resume at s.dhesihan@imtiaz.ae


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