🖥 https://gist.github.com/NotHarshhaa/f5ded6760305c734d562c743f7a53d46

📣 Job Role:- DevOps Intern

🔖 Experience:- Fresher
📍 Job Location:- Mumbai

🔖Role Description:-
This is a full-time hybrid role for a DevOps Intern located in Mumbai, with flexibility for some remote work. The DevOps Intern will be responsible for software development, continuous integration, integration, Kubernetes, AWS Cloud and Linux. They will work with the development team to design, build and maintain the infrastructure and tools needed for testing and deployment. The role also involves monitoring the systems, diagnosing the issues, and resolving them.

🔖 Qualifications:-
1. Knowledge of software development, continuous integration, and integration
2. Knowledge of Kubernetes, AWS cloud, and Linux
3. Experience with automation tools and cloud infrastructure is a plus
4. Knowledge of monitoring systems and diagnosing issues
5. Good analytical and problem-solving skills
6. Bachelor's degree in Computer Science, Engineering, or related field

✉️ Drop your CV and contact information to the following email address
ninad.shetye@sigmoidfrogs.com

🖥 https://prodevopsguy.site/guide-to-installing-prometheus-and-grafana


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

If you want to write a 𝗰𝗹𝗲𝗮𝗿 𝗮𝗻𝗱 𝗰𝗼𝗻𝗰𝗶𝘀𝗲 𝗰𝗼𝗻𝗳𝗶𝗴𝘂𝗿𝗮𝘁𝗶𝗼𝗻 𝗳𝗼𝗿 𝘆𝗼𝘂𝗿 𝗧𝗲𝗿𝗿𝗮𝗳𝗼𝗿𝗺 𝗰𝗼𝗱𝗲 you need to know to 𝗳𝗹𝗮𝘁𝘁𝗲𝗻 function and 𝗳𝗼𝗿 expression.

➡️ What does 𝗳𝗹𝗮𝘁𝘁𝗲𝗻 do?
𝗳𝗹𝗮𝘁𝘁𝗲𝗻 takes a list and replaces any list elements with a flattened sequence of the list contents.

➡️ What does 𝗳𝗼𝗿 expression do?
A for expression creates a complex type value by transforming another complex type value. Each element in the input value can correspond to either one or zero values in the result, and an arbitrary expression can be used to transform each input element into an output element.

➡️ How can we combine them?
We can write nested configuration and flatten it when it is needed.

Imagine that you want to create several storage accounts with a few containers inside. This is a perfect example. Just take a look at the attached code.


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

👉 𝐇𝐞𝐫𝐞 𝐚𝐫𝐞 𝐬𝐨𝐦𝐞 𝐜𝐨𝐦𝐦𝐨𝐧 𝐆𝐢𝐭 𝐞𝐫𝐫𝐨𝐫𝐬 𝐚𝐧𝐝 𝐭𝐡𝐞𝐢𝐫 𝐬𝐨𝐥𝐮𝐭𝐢𝐨𝐧𝐬 𝐢𝐧 𝐛𝐫𝐢𝐞𝐟:

🆘 1. 𝐄𝐫𝐫𝐨𝐫: "𝐟𝐚𝐭𝐚𝐥: 𝐧𝐨𝐭 𝐚 𝐠𝐢𝐭 𝐫𝐞𝐩𝐨𝐬𝐢𝐭𝐨𝐫𝐲"
  - 𝐒𝐨𝐥𝐮𝐭𝐢𝐨𝐧: Check that you are in the correct directory with a Git repository, or initialize a new repository using 𝐠𝐢𝐭 𝐢𝐧𝐢𝐭.

🆘 2. 𝐄𝐫𝐫𝐨𝐫: "𝐘𝐨𝐮𝐫 𝐛𝐫𝐚𝐧𝐜𝐡 𝐢𝐬 𝐚𝐡𝐞𝐚𝐝/𝐛𝐞𝐡𝐢𝐧𝐝 '𝐨𝐫𝐢𝐠𝐢𝐧/𝐦𝐚𝐬𝐭𝐞𝐫' 𝐛𝐲 𝐗 𝐜𝐨𝐦𝐦𝐢𝐭𝐬"
  - 𝐒𝐨𝐥𝐮𝐭𝐢𝐨𝐧: Use 𝐠𝐢𝐭 𝐩𝐮𝐥𝐥 to update your local branch with the remote branch or 𝐠𝐢𝐭 𝐩𝐮𝐬𝐡 to push your changes to the remote branch.

🆘 3. 𝐄𝐫𝐫𝐨𝐫: "𝐌𝐞𝐫𝐠𝐞 𝐜𝐨𝐧𝐟𝐥𝐢𝐜𝐭"
  - 𝐒𝐨𝐥𝐮𝐭𝐢𝐨𝐧: Resolve conflicts manually in the conflicting files, then use 𝐠𝐢𝐭 𝐚𝐝𝐝 to stage the changes, and commit them.

🆘 4. 𝐄𝐫𝐫𝐨𝐫: "𝐂𝐨𝐦𝐦𝐢𝐭 𝐧𝐨𝐭 𝐢𝐧 𝐬𝐲𝐧𝐜 𝐰𝐢𝐭𝐡 𝐭𝐡𝐞 𝐫𝐞𝐦𝐨𝐭𝐞 𝐛𝐫𝐚𝐧𝐜𝐡"
  - 𝐒𝐨𝐥𝐮𝐭𝐢𝐨𝐧: Use  𝐠𝐢𝐭 𝐩𝐮𝐥𝐥 to get the latest changes from the remote branch and then commit your changes.

🆘 5. 𝐄𝐫𝐫𝐨𝐫: "𝐏𝐞𝐫𝐦𝐢𝐬𝐬𝐢𝐨𝐧 𝐝𝐞𝐧𝐢𝐞𝐝 (𝐩𝐮𝐛𝐥𝐢𝐜𝐤𝐞𝐲)"
  - 𝐒𝐨𝐥𝐮𝐭𝐢𝐨𝐧: Ensure your SSH key is added to your SSH agent and associated with your Git account.

🆘 6. 𝐄𝐫𝐫𝐨𝐫: "𝐟𝐚𝐭𝐚𝐥: 𝐫𝐞𝐦𝐨𝐭𝐞 𝐨𝐫𝐢𝐠𝐢𝐧 𝐚𝐥𝐫𝐞𝐚𝐝𝐲 𝐞𝐱𝐢𝐬𝐭𝐬"
  - 𝐒𝐨𝐥𝐮𝐭𝐢𝐨𝐧: Update the remote's URL using 𝐠𝐢𝐭 𝐫𝐞𝐦𝐨𝐭𝐞 𝐬𝐞𝐭-𝐮𝐫𝐥 𝐨𝐫𝐢𝐠𝐢𝐧 <𝐧𝐞𝐰_𝐮𝐫𝐥>.

🆘 7. 𝐄𝐫𝐫𝐨𝐫: "𝐞𝐫𝐫𝐨𝐫: 𝐩𝐚𝐭𝐡𝐬𝐩𝐞𝐜 '𝐟𝐢𝐥𝐞' 𝐝𝐢𝐝 𝐧𝐨𝐭 𝐦𝐚𝐭𝐜𝐡 𝐚𝐧𝐲 𝐟𝐢𝐥𝐞(𝐬) 𝐤𝐧𝐨𝐰𝐧 𝐭𝐨 𝐠𝐢𝐭"
  - 𝐒𝐨𝐥𝐮𝐭𝐢𝐨𝐧: Check the spelling and case of the file name and ensure it's part of the repository.

🆘 8. 𝐄𝐫𝐫𝐨𝐫: "𝐂𝐨𝐦𝐦𝐢𝐭 𝐦𝐞𝐬𝐬𝐚𝐠𝐞 𝐦𝐢𝐬𝐬𝐢𝐧𝐠"
  - 𝐒𝐨𝐥𝐮𝐭𝐢𝐨𝐧: Provide a commit message using  𝐠𝐢𝐭 𝐜𝐨𝐦𝐦𝐢𝐭 -𝐦 "Your message here".

🆘 9. 𝐄𝐫𝐫𝐨𝐫: "𝐰𝐚𝐫𝐧𝐢𝐧𝐠: 𝐋𝐅 𝐰𝐢𝐥𝐥 𝐛𝐞 𝐫𝐞𝐩𝐥𝐚𝐜𝐞𝐝 𝐛𝐲 𝐂𝐑𝐋𝐅"
  - 𝐒𝐨𝐥𝐮𝐭𝐢𝐨𝐧: Configure line endings using .𝐠𝐢𝐭𝐚𝐭𝐭𝐫𝐢𝐛𝐮𝐭𝐞𝐬 or global Git configuration.

🆘 10. 𝐄𝐫𝐫𝐨𝐫: "𝐞𝐫𝐫𝐨𝐫: 𝐘𝐨𝐮𝐫 𝐥𝐨𝐜𝐚𝐥 𝐜𝐡𝐚𝐧𝐠𝐞𝐬 𝐭𝐨 𝐭𝐡𝐞 𝐟𝐨𝐥𝐥𝐨𝐰𝐢𝐧𝐠 𝐟𝐢𝐥𝐞𝐬 𝐰𝐨𝐮𝐥𝐝 𝐛𝐞 𝐨𝐯𝐞𝐫𝐰𝐫𝐢𝐭𝐭𝐞𝐧 𝐛𝐲 𝐦𝐞𝐫𝐠𝐞"
  - 𝐒𝐨𝐥𝐮𝐭𝐢𝐨𝐧: Stash your local changes with 𝐠𝐢𝐭 𝐬𝐭𝐚𝐬𝐡, then perform the merge, and finally apply your changes back with 𝐠𝐢𝐭 𝐬𝐭𝐚𝐬𝐡 𝐚𝐩𝐩𝐥𝐲.

Remember that these are just brief solutions. The specific actions needed may vary based on the context of the error and the state of your Git repository.


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

🔔 𝐃𝐞𝐯𝐎𝐩𝐬 𝐌𝐞𝐭𝐫𝐢𝐜𝐬 𝐚𝐫𝐞 𝐜𝐫𝐮𝐜𝐢𝐚𝐥! 😀

Each stage has metrics that are vital for the success of the DevOps.

Plan 📝: This stage focuses on metrics to ensure we have a solid plan in place, guiding us with user story prioritization, estimation, team velocity, resource allocation, and more!

Code 🖥: Metrics related to this help us deliver code in a standardized way, improving quality, effectiveness, speed, reliability, and more!

Build ♾ : Monitor the build process to enhance the efficiency of running builds more frequently and reliably.

Test 🧪: Testing metrics help us improve the quality of the product ⭐️

Release & Deploy 🚀: Helps us refine the product deployment and release process to minimize surprises.

Operate ⚙️: Gather customer feedback and manage incidents based on metrics 📉

Monitor 📈: Leverage metrics to enhance the overall system and drive customer success ⭐️


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

🐬 𝗗𝗼 𝘆𝗼𝘂 𝘂𝘀𝗲 𝗺𝘂𝗹𝘁𝗶-𝘀𝘁𝗮𝗴𝗲 𝗗𝗼𝗰𝗸𝗲𝗿𝗳𝗶𝗹𝗲 𝘆𝗼𝘂𝗿 𝗽𝗿𝗼𝗷𝗲𝗰𝘁 ?

𝐼𝑓 𝑦𝑜𝑢 ℎ𝑎𝑣𝑒 𝑎 𝑒𝑥𝑝𝑒𝑟𝑖𝑒𝑛𝑐𝑒 𝑖𝑛 𝑑𝑜𝑐𝑘𝑒𝑟𝑖𝑧𝑖𝑛𝑔 𝑦𝑜𝑢𝑟 𝑝𝑟𝑜𝑗𝑒𝑐𝑡𝑠, 𝑝𝑟𝑜𝑏𝑎𝑏𝑙𝑦 𝑦𝑜𝑢 ℎ𝑒𝑎𝑟 𝑎𝑏𝑜𝑢𝑡 𝑚𝑢𝑙𝑡𝑖-𝑠𝑡𝑎𝑔𝑒 𝑖𝑛 𝑑𝑜𝑐𝑘𝑒𝑟𝑖𝑧𝑒 𝑡ℎ𝑒 𝑎𝑝𝑝𝑙𝑖𝑐𝑎𝑡𝑖𝑜𝑛.

𝑡𝑜 𝑚𝑎𝑘𝑒 𝑠𝑡𝑜𝑟𝑦 𝑠ℎ𝑜𝑟𝑡, 𝑦𝑜𝑢 𝑐𝑎𝑛 𝑐𝑜𝑛𝑣𝑒𝑟𝑡 𝑎 𝑑𝑜𝑐𝑘𝑒𝑟 𝑓𝑖𝑙𝑒 𝑡𝑜 𝑎 𝑚𝑢𝑙𝑡𝑖-𝑠𝑡𝑎𝑔𝑒 𝑜𝑛𝑒 𝑤𝑖𝑡ℎ 𝑖𝑛𝑐𝑙𝑢𝑑𝑖𝑛𝑔 "𝐹𝑅𝑂𝑀 ..." 𝑠𝑡𝑎𝑡𝑒𝑚𝑒𝑛𝑡𝑠 𝑡𝑜 𝑦𝑜𝑢𝑟 𝑓𝑖𝑙𝑒.
𝑏𝑦 𝑎𝑑𝑑𝑖𝑛𝑔 𝑡ℎ𝑖𝑠, 𝑒𝑎𝑐ℎ "𝐹𝑅𝑂𝑀" 𝑠𝑡𝑎𝑡𝑒𝑚𝑒𝑛𝑡 𝑏𝑒𝑔𝑖𝑛𝑠 𝑎 𝑛𝑒𝑤 𝑠𝑡𝑎𝑔𝑒 𝑜𝑓 𝑡ℎ𝑒 𝑏𝑢𝑖𝑙𝑑.
𝑦𝑜𝑢 𝑐𝑎𝑛 𝑐𝑜𝑝𝑦 𝑤ℎ𝑎𝑡 𝑦𝑜𝑢 𝑛𝑒𝑒𝑑 𝑓𝑟𝑜𝑚 𝑜𝑛𝑒 𝑠𝑡𝑎𝑔𝑒 𝑡𝑜 𝑎𝑛𝑜𝑡ℎ𝑒𝑟 𝑎𝑛𝑑 𝑙𝑒𝑎𝑣𝑒 𝑒𝑣𝑒𝑟𝑦𝑡ℎ𝑖𝑛𝑔 𝑡ℎ𝑎𝑡 𝑦𝑜𝑢 𝑑𝑜𝑛'𝑡 𝑛𝑒𝑒𝑑 𝑖𝑛 𝑡ℎ𝑒 𝑓𝑖𝑛𝑎𝑙 𝑖𝑚𝑎𝑔𝑒.

➡️ 𝗔𝗱𝘃𝗮𝗻𝘁𝗮𝗴𝗲𝗼𝘂𝘀:
- 𝐎𝐩𝐭𝐢𝐦𝐢𝐳𝐞𝐝 𝐈𝐦𝐚𝐠𝐞 𝐒𝐢𝐳𝐞
- 𝐒𝐢𝐦𝐩𝐥𝐢𝐟𝐢𝐞𝐝 𝐁𝐮𝐢𝐥𝐝 𝐏𝐫𝐨𝐜𝐞𝐬𝐬
- 𝐏𝐚𝐫𝐚𝐥𝐥𝐞𝐥 𝐁𝐮𝐢𝐥𝐝 𝐒𝐭𝐞𝐩𝐬
- 𝐔𝐬𝐞 𝐨𝐟 𝐄𝐱𝐭𝐞𝐫𝐧𝐚𝐥 𝐈𝐦𝐚𝐠𝐞𝐬

𝑓𝑜𝑟 𝑚𝑜𝑟𝑒 𝑖𝑛𝑓𝑜, 𝑦𝑜𝑢 𝑐𝑎𝑛 𝑐ℎ𝑒𝑐𝑘 𝑡ℎ𝑖𝑠 𝑙𝑖𝑛𝑘:
🖥 https://prodevopsguy.site/multi-stage-dockerfiles-for-production


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

💎 Hiring Cloud Engineer

⚡️ Exp: 1 - 2 years
➡️ Work Location: Whitefield,Bangalore
💦 Notice Period: Immediate - 15 days
🏪 Email: info@talenthive.net

👨‍💻 Skills:
- Design and implement cloud solutions in Azure and AWS environments.
- Create and manage virtual machines (VMs) across Azure and AWS platforms.
- Lead the migration process from on-premises environments to the cloud, ensuring minimal downtime and maximum efficiency.
- Perform cloud-to-cloud migrations, seamlessly transferring workloads and data between Azure and AWS.
- Develop automation scripts and templates to streamline migration processes and enhance operational efficiency.


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

🟢 𝐖𝐡𝐚𝐭 𝐝𝐨𝐞𝐬 𝐚 𝐃𝐞𝐯𝐎𝐩𝐬 𝐞𝐧𝐠𝐢𝐧𝐞𝐞𝐫 𝐝𝐨?


DevOps engineers are IT professionals who play a crucial role in modern software development. They work like bridge builders, connecting the worlds of development and operations to create a smooth and efficient software delivery process. Here's a glimpse into what they do:

➡️𝐒𝐭𝐫𝐞𝐚𝐦𝐥𝐢𝐧𝐢𝐧𝐠 𝐖𝐨𝐫𝐤𝐟𝐥𝐨𝐰𝐬: Imagine a well-oiled machine – that's what DevOps engineers strive for in software development. They automate repetitive tasks like testing and deployment, freeing up valuable time for developers and operations teams.

➡️𝐂𝐨𝐥𝐥𝐚𝐛𝐨𝐫𝐚𝐭𝐢𝐨𝐧 𝐂𝐡𝐚𝐦𝐩𝐢𝐨𝐧𝐬: DevOps engineers believe in teamwork! They foster communication and collaboration between developers and operations, ensuring everyone is aligned and working towards the same goals.

➡️𝐓𝐨𝐨𝐥 𝐌𝐚𝐬𝐭𝐞𝐫𝐬: The world of DevOps utilizes a variety of tools to automate tasks and improve efficiency. DevOps engineers select, implement, and manage these tools, ensuring they work seamlessly together.

➡️𝐏𝐫𝐨𝐛𝐥𝐞𝐦 𝐒𝐨𝐥𝐯𝐞𝐫𝐬: Things don't always go according to plan, and that's okay! DevOps engineers are skilled troubleshooters who identify and resolve issues throughout the development lifecycle, keeping the software on track.

➡️𝐒𝐞𝐜𝐮𝐫𝐢𝐭𝐲 𝐀𝐝𝐯𝐨𝐜𝐚𝐭𝐞𝐬: Security is paramount! DevOps engineers champion secure development practices, ensuring the software is built with security in mind from the very beginning.

➡️𝐂𝐨𝐧𝐭𝐢𝐧𝐮𝐨𝐮𝐬 𝐈𝐦𝐩𝐫𝐨𝐯𝐞𝐦𝐞𝐧𝐭 𝐂𝐡𝐚𝐦𝐩𝐢𝐨𝐧𝐬: The world of technology is ever-evolving, and DevOps engineers are too! They constantly seek ways to improve the development process, implementing new tools and methodologies to stay ahead of the curve.

➡️𝐏𝐞𝐫𝐟𝐨𝐫𝐦𝐚𝐧𝐜𝐞 𝐌𝐨𝐧𝐢𝐭𝐨𝐫𝐬: DevOps engineers keep a watchful eye on the software's performance after deployment. They use monitoring tools to identify and address any bottlenecks or issues that might impact user experience.

➡️𝐈𝐧𝐟𝐫𝐚𝐬𝐭𝐫𝐮𝐜𝐭𝐮𝐫𝐞 𝐌𝐚𝐧𝐚𝐠𝐞𝐦𝐞𝐧𝐭: While not always the primary focus, some DevOps engineers may also be involved in managing and provisioning the infrastructure needed to run the software. This could include servers, cloud platforms, and network resources.


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

𝐓𝐚𝐤𝐞 𝐛𝐚𝐜𝐤 𝐜𝐨𝐧𝐭𝐫𝐨𝐥 𝐰𝐢𝐭𝐡 🌐 𝐆𝐢𝐭𝐎𝐩𝐬: 𝐘𝐨𝐮𝐫 𝐢𝐧𝐟𝐫𝐚𝐬𝐭𝐫𝐮𝐜𝐭𝐮𝐫𝐞, 𝐬𝐢𝐦𝐩𝐥𝐢𝐟𝐢𝐞𝐝 🚀

What is GitOps? It's a revolutionary approach that treats your infrastructure as code, using Git as the single source of truth. ✨

🔣Why GitOps?

⏩ Simplified management: Declarative configuration in Git means no more ad-hoc changes or manual interventions.
⏩ Reduced errors: Automated deployments eliminate human error and ensure consistency.
⏩ Increased visibility: Track changes and rollbacks easily with Git's history and branching.
⏩ Improved collaboration: Everyone works from the same source of truth, fostering transparency and ownership


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

🔔 A Complete Guide to Azure DevOps Pipelines with YAML Templates


⚙️ Streamline Your CI/CD Workflows with Azure DevOps

In today’s software development landscape, efficient CI/CD processes are essential for delivering high-quality applications at a rapid pace. Azure DevOps provides a comprehensive set of tools and services to facilitate the entire development lifecycle, including powerful CI/CD capabilities. In this guide, we will explore Azure DevOps pipelines using YAML templates, providing step-by-step explanations and practical examples. Let’s dive in!

𝑓𝑜𝑟 𝑚𝑜𝑟𝑒 𝑖𝑛𝑓𝑜, 𝑦𝑜𝑢 𝑐𝑎𝑛 𝑐ℎ𝑒𝑐𝑘 𝑡ℎ𝑖𝑠 𝑙𝑖𝑛𝑘:
https://prodevopsguy.site/complete-guide-to-azure-devops-pipelines-with-yaml-templates


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

𝐊𝐮𝐛𝐞𝐫𝐧𝐞𝐭𝐞𝐬 𝐒𝐞𝐜𝐫𝐞𝐭𝐬 are where Kubernetes stores secret objects such as 𝐩𝐚𝐬𝐬𝐰𝐨𝐫𝐝𝐬, 𝐎𝐀𝐮𝐭𝐡 𝐭𝐨𝐤𝐞𝐧𝐬, 𝐬𝐞𝐧𝐬𝐢𝐭𝐢𝐯𝐞 𝐝𝐚𝐭𝐚, 𝐚𝐧𝐝 𝐒𝐒𝐇 𝐤𝐞𝐲𝐬. The name 𝐬𝐞𝐜𝐫𝐞𝐭 is a bit misleading, as it is not a secret. It is just base-64 encoded and stored in etcd.

GitOps processes for your Kubernetes application works great for most resources, but it has some limitations when it comes to managing and storing secrets. Storing your secret data with Kubernetes Secrets on Git is uncontrolled for access and is a security risk.

➡️ 𝗟𝗶𝗺𝗶𝘁𝗮𝘁𝗶𝗼𝗻𝘀 𝗼𝗳 𝗞𝘂𝗯𝗲𝗿𝗻𝗲𝘁𝗲𝘀 𝗦𝗲𝗰𝗿𝗲𝘁𝘀 :-
𝙚𝙩𝙘𝙙 𝙞𝙨 𝙣𝙤𝙩 𝙨𝙚𝙘𝙪𝙧𝙚 - etcd is where Kubernetes secrets are stored. Though etcd is a distributed key/value store with great performance, it lacks key features when it comes to handling sensitive data such as audit log, key rotation, and encryption of key.

➡️ 𝙎𝙚𝙘𝙧𝙚𝙩𝙨 𝙖𝙨 𝙥𝙡𝙖𝙞𝙣 𝙩𝙚𝙭𝙩 -When a pod needs to access the secrets, it is provided by Kubernetes as environment variables or mounting them as files containing plain-text secrets. These secrets become accessible to everyone with access to the pod.

➡️ 𝙍𝘽𝘼𝘾 𝙛𝙪𝙣𝙘𝙩𝙞𝙤𝙣𝙖𝙡𝙞𝙩𝙮 -Kubernetes’ RBAC functionality provides only get and set permissions for secrets. And while you get a secret, you only get its decrypted value. A more secure zero-trust setup would allow a developer to set a secret and then only retrieve the encrypted value for consumption.

➡️ 𝙏𝙝𝙚 𝙡𝙖𝙘𝙠 𝙤𝙛 𝙨𝙚𝙘𝙪𝙧𝙚 𝙚𝙣𝙘𝙧𝙮𝙥𝙩𝙞𝙤𝙣 -Since Kubernetes secrets are base-64 encoded, it is possible for anyone to decode it once they get their hands on the secrets.

➡️ 𝗕𝗲𝘀𝘁 𝗽𝗿𝗮𝗰𝘁𝗶𝗰𝗲𝘀 𝗳𝗼𝗿 𝗞𝘂𝗯𝗲𝗿𝗻𝗲𝘁𝗲𝘀 𝘀𝗲𝗰𝗿𝗲𝘁 𝗺𝗮𝗻𝗮𝗴𝗲𝗺𝗲𝗻𝘁:-
1.𝙀𝙣𝙨𝙪𝙧𝙚 𝙚𝙣𝙘𝙧𝙮𝙥𝙩𝙞𝙤𝙣 𝙖𝙩 𝙧𝙚𝙨𝙩 - Storing unencrypted secrets in etcd could lead to compromise and allow access to your systems.

2. 𝙇𝙞𝙢𝙞𝙩 𝙖𝙘𝙘𝙚𝙨𝙨 𝙩𝙤 𝙆𝙪𝙗𝙚𝙧𝙣𝙚𝙩𝙚𝙨 𝙘𝙡𝙪𝙨𝙩𝙚𝙧𝙨 - This can be controlled using Kubernetes RBAC controls and RBAC controls from your cloud provider. Since, in methods like sealed secrets, anyone with access to the cluster to see the decrypted secrets.

3. 𝙍𝙚𝙨𝙩𝙧𝙞𝙘𝙩 𝙎𝙚𝙘𝙧𝙚𝙩 𝙖𝙘𝙘𝙚𝙨𝙨 𝙩𝙤 𝙨𝙥𝙚𝙘𝙞𝙛𝙞𝙘 𝙘𝙤𝙣𝙩𝙖𝙞𝙣𝙚𝙧𝙨- While running multiple containers in a pod, define your volume mount or environment variable configuration in such a way that only the container that needs the secret has access to it.

4.𝙈𝙖𝙣𝙖𝙜𝙚 𝙝𝙤𝙬 𝙮𝙤𝙪𝙧 𝙖𝙥𝙥𝙡𝙞𝙘𝙖𝙩𝙞𝙤𝙣𝙨 𝙝𝙖𝙣𝙙𝙡𝙚 𝙨𝙚𝙘𝙧𝙚𝙩𝙨- Once your applications read the secrets, they have access to its confidential information. Ensure they do not share it with any untrusted parties or display it on logs.

5.𝙋𝙧𝙚𝙛𝙚𝙧 𝙖 𝙘𝙚𝙣𝙩𝙧𝙖𝙡 𝙨𝙚𝙘𝙧𝙚𝙩 𝙨𝙩𝙤𝙧𝙚- Having your Kubernetes secrets stored in a centralized place along with your other tool and database secrets would allow for easier management. This helps reduce secret sprawl and allows for better access control and audit trails.


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

➡️Docker 🐬 and Kubernetes Free Videos 🟩 :

✅Link: https://drive.google.com/drive/folders/162YOHhybk_pYemCfKmKSGbdSjJDeuAYR?usp=sharing


❤️ Follow for more: @prodevopsguy

🟩 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

⚙️ A Complete Guide to Creating GitLab Pipelines with YAML Templates


🔖 Streamline Your Software Development Workflow with Continuous Integration and Deployment with GitLab

In the realm of software development, efficient and reliable continuous integration and deployment (CI/CD) processes 👾 are essential. GitLab Pipelines, a robust CI/CD tool, allows you to automate your software development workflows seamlessly. In this comprehensive guide, we will explore the process of setting up GitLab Pipelines using YAML templates. Each step will be accompanied by detailed explanations and example templates. Let’s dive in!


𝑓𝑜𝑟 𝑚𝑜𝑟𝑒 𝑖𝑛𝑓𝑜, 𝑦𝑜𝑢 𝑐𝑎𝑛 𝑐ℎ𝑒𝑐𝑘 𝑡ℎ𝑖𝑠 𝑙𝑖𝑛𝑘:
https://prodevopsguy.site/complete-guide-to-creating-gitlab-pipelines-with-yaml-templates


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

⚙️ Troubleshooting in Kubernetes by ProDevOpsGuy - 25 Examples With Commands

➡️ What is Kubernetes Troubleshooting? 🛠
Kubernetes troubleshooting involves the process of identifying, diagnosing, and resolving issues within Kubernetes clusters, nodes, pods, or containers. It encompasses effective ongoing management of faults and proactive measures to prevent issues in Kubernetes components.


𝑓𝑜𝑟 𝑚𝑜𝑟𝑒 𝑖𝑛𝑓𝑜, 𝑦𝑜𝑢 𝑐𝑎𝑛 𝑐ℎ𝑒𝑐𝑘 𝑡ℎ𝑖𝑠 𝑙𝑖𝑛𝑘:
https://prodevopsguy.site/Troubleshooting-in-Kubernetes-by-ProDevOpsGuy


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