DevOps & Cloud (AWS, AZURE, GCP) Tech Free Learning

🚀 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!!!

☄️ 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 for more: @prodevopsguy

Complete Docker 🐬 for Absolute beginners 📔 https://prodevopsguy.xyz/docker-for-the-absolute-beginner 📱 𝐅𝐨𝐥𝐥𝐨𝐰 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs

🔥When becoming a DevOps Engineer, prioritize learning fundamental concepts before technologies. ❌ Just learning technologies and adding them to your resume won't cut it. ✔️ You need to understand the basic concepts. ➡️ For example, before learning docker, learn about Linux Kernel cgroups and namespaces. ✔️ Learn the basics, then learn the technology. ❤️ Follow for more: @prodevopsguy

📣 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

👉 Useful GIT 📱 command you will use frequently being a software developer. 𝟭.𝗴𝗶𝘁 𝗱𝗶𝗳𝗳: Show file differences not yet staged. 𝟮. 𝗴𝗶𝘁 𝗰𝗼𝗺𝗺𝗶𝘁 -m "commit message": Commit all tracked changes with a message. 𝟯. 𝗴𝗶𝘁 𝘀𝘁𝗮𝘁𝘂𝘀: Show the state of your working directory. 𝟰. 𝗴𝗶𝘁 𝗮𝗱𝗱 𝗳𝗶𝗹𝗲_𝗽𝗮𝘁𝗵: Add file(s) to the staging area. 𝟱. 𝗴𝗶𝘁 𝗰𝗵𝗲𝗰𝗸𝗼𝘂𝘁 -𝗯 𝗯𝗿𝗮𝗻𝗰𝗵_𝗻𝗮𝗺𝗲: Create and switch to a new branch. 𝟲. 𝗴𝗶𝘁 𝗰𝗵𝗲𝗰𝗸𝗼𝘂𝘁 𝗯𝗿𝗮𝗻𝗰𝗵_𝗻𝗮𝗺𝗲: Switch to an existing branch. 𝟳. 𝗴𝗶𝘁 𝗰𝗼𝗺𝗺𝗶𝘁 --𝗮𝗺𝗲𝗻𝗱: Modify the last commit. 𝟴. 𝗴𝗶𝘁 𝗽𝘂𝘀𝗵 𝗼𝗿𝗶𝗴𝗶𝗻 𝗯𝗿𝗮𝗻𝗰𝗵_𝗻𝗮𝗺𝗲: Push a branch to a remote. 𝟵. 𝗴𝗶𝘁 𝗽𝘂𝗹𝗹: Fetch and merge remote changes. 𝟭𝟬. 𝗴𝗶𝘁 𝗿𝗲𝗯𝗮𝘀𝗲 -𝗶: Rebase interactively, rewrite commit history. 𝟭𝟭. 𝗴𝗶𝘁 𝗰𝗹𝗼𝗻𝗲: Create a local copy of a remote repo. 𝟭𝟮. 𝗴𝗶𝘁 𝗺𝗲𝗿𝗴𝗲: Merge branches together. 𝟭𝟯. 𝗴𝗶𝘁 𝗹𝗼𝗴-𝘀𝘁𝗮𝘁: Show commit logs with stats. 𝟭𝟰. 𝗴𝗶𝘁 𝘀𝘁𝗮𝘀𝗵: Stash changes for later. 𝟭𝟱. 𝗴𝗶𝘁 𝘀𝘁𝗮𝘀𝗵 𝗽𝗼𝗽: Apply and remove stashed changes. 𝟭𝟲. 𝗴𝗶𝘁 𝘀𝗵𝗼𝘄 𝗰𝗼𝗺𝗺𝗶𝘁_𝗶𝗱: Show details about a commit. 𝟭𝟳. 𝗴𝗶𝘁 𝗿𝗲𝘀𝗲𝘁 𝗛𝗘𝗔𝗗~𝟭: Undo the last commit, preserving changes locally. 𝟭𝟴. 𝗴𝗶𝘁 𝗳𝗼𝗿𝗺𝗮𝘁-𝗽𝗮𝘁𝗰𝗵-𝟭 𝗰𝗼𝗺𝗺𝗶𝘁_𝗶𝗱: Create a patch file for a specific commit. 𝟭𝟵. 𝗴𝗶𝘁 𝗮𝗽𝗽𝗹𝘆 𝗽𝗮𝘁𝗰𝗵_𝗳𝗶𝗹𝗲_𝗻𝗮𝗺𝗲: Apply changes from a patch file. 𝟮𝟬. 𝗴𝗶𝘁 𝗯𝗿𝗮𝗻𝗰𝗵 -𝗗 𝗯𝗿𝗮𝗻𝗰𝗵_𝗻𝗮𝗺𝗲: Delete a branch forcefully. 𝟮𝟭. 𝗴𝗶𝘁 𝗿𝗲𝘀𝗲𝘁: Undo commits by moving branch reference. 𝟮𝟮. 𝗴𝗶𝘁 𝗿𝗲𝘃𝗲𝗿𝘁: Undo commits by creating a new commit. 𝟮𝟯. 𝗴𝗶𝘁 𝗰𝗵𝗲𝗿𝗿𝘆-𝗽𝗶𝗰𝗸 𝗰𝗼𝗺𝗺𝗶𝘁_𝗶𝗱: Apply changes from a specific commit. 𝟮𝟰. 𝗴𝗶𝘁 𝗯𝗿𝗮𝗻𝗰𝗵: Lists branches. 𝟮𝟱. 𝗴𝗶𝘁 𝗿𝗲𝘀𝗲𝘁 --𝗵𝗮𝗿𝗱: Resets everything to a previous commit, erasing all uncommitted changes. 😎 𝐅𝐨𝐥𝐥𝐨𝐰 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs

🖥 https://medium.com/@sushantkapare1717/kubernetes-dns-configurations-optimization-5a5881fa47ec ✈️ 𝐅𝐨𝐥𝐥𝐨𝐰 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs

🔔 Simple CI/CD 👾 pipeline Integrating Jenkins with Maven and GitHub to Build a job on a Tomcat server. ⭐️ (Best Project for Freshers/Beginners) 🔖 A company would use a CI/CD pipeline integrated with Jenkins, Maven, GitHub, and Apache Tomcat to streamline and automate the software development and deployment processes. Jenkins serves as the automation server, orchestrating the pipeline, while Maven manages project dependencies and builds. GitHub acts as a version control system, enabling collaboration, and Apache Tomcat facilitates the smooth deployment of applications, ensuring efficient and consistent delivery of software updates. This integrated toolchain enhances development speed, ensures code quality, and simplifies the continuous delivery of software applications. 𝑓𝑜𝑟 𝑚𝑜𝑟𝑒 𝑖𝑛𝑓𝑜, 𝑦𝑜𝑢 𝑐𝑎𝑛 𝑐ℎ𝑒𝑐𝑘 𝑡ℎ𝑖𝑠 𝑙𝑖𝑛𝑘: 🖥 https://prodevopsguy.site/simple-ci-cd-devops-project ✈️ 𝐅𝐨𝐥𝐥𝐨𝐰 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs

💎 DevOps vs DevSecOps Think of a software development team working together to make a product quickly and smoothly. That's DevOps. Now, imagine adding someone to the team who makes sure the product is safe from hackers and other dangers. That's DevSecOps. 🔸 DevOps: In software development, DevOps is like a team of people who work together with development and operations team to make software releases fast and work without any problems. They use tools and teamwork to make sure everything runs smoothly. 🔸 DevSecOps: DevSecOps builds upon DevOps principles by integrating security practices into every stage of the software lifecycle. It proactively addresses security concerns by incorporating security tools and processes, ensuring that vulnerabilities are identified and remediated early in development. In Summary: DevOps makes software quickly and smoothly, while DevSecOps adds security to make sure the software is safe from cyber threats. Both are important for making good quality software. 📱 𝐅𝐨𝐥𝐥𝐨𝐰 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs

📣 Grafana and Prometheus Real-time use cases

➡️ By leveraging Grafana's visualization capabilities and Prometheus's robust data collection and querying features, organizations can gain deep, real-time insights into their systems, ensuring reliability, performance, and security.

𝑓𝑜𝑟 𝑚𝑜𝑟𝑒 𝑖𝑛𝑓𝑜, 𝑦𝑜𝑢 𝑐𝑎𝑛 𝑐ℎ𝑒𝑐𝑘 𝑡ℎ𝑖𝑠 𝑙𝑖𝑛𝑘: 🖥 https://prodevopsguy.site/grafana-prometheus-real-time-use-cases 😎 𝐅𝐨𝐥𝐥𝐨𝐰 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs

When it comes to writing a Dockerfile 🐬, there are a few best practices to keep in mind: 1️⃣. Use official base images: Starting with an official base image from Docker Hub is recommended. These images are maintained and regularly updated by the community, ensuring stability and security. 2️⃣. Keep it minimal: Only include the necessary dependencies and files in your Docker image. This helps keep the image size small and improves build times. 3️⃣. Use explicit versioning: Specify the versions of the software and libraries you're using in your Dockerfile. This helps ensure consistency and avoids unexpected changes in behavior. 4️⃣. Leverage caching: Docker builds can be faster by leveraging Docker's layer caching mechanism. Place frequently changing instructions towards the end of your Dockerfile to avoid invalidating the cache unnecessarily. 5️⃣. Separate build and runtime stages: If possible, split your Dockerfile into separate stages for building and running the application. This can help reduce the size of the final image and improve security. 6️⃣. Use COPY instead of ADD: When copying files into your Docker image, prefer the COPY instruction over the ADD instruction. COPY is simpler and doesn't have the additional functionality of ADD, which can lead to unexpected behavior. 7️⃣. Clean up after each step: To minimize the size of your Docker image, remove unnecessary files and cleanup after each step in your Dockerfile. This can be done using the RUN instruction with appropriate cleanup commands. 📱 𝐅𝐨𝐥𝐥𝐨𝐰 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs

⚙️ Terraform with Azure DevOps CI/CD Pipelines 👾 In this article, we will look at how to run Terraform in an Azure DevOps pipeline, step-by-step. We will go from the start of the process showing how to create an Azure DevOps instance and project, how to setup Terraform in Azure DevOps, and how to create Terraform configuration files for the infrastructure and pipelines using YAML, sharing some examples and best practices along the way. 𝑓𝑜𝑟 𝑚𝑜𝑟𝑒 𝑖𝑛𝑓𝑜, 𝑦𝑜𝑢 𝑐𝑎𝑛 𝑐ℎ𝑒𝑐𝑘 𝑡ℎ𝑖𝑠 𝑙𝑖𝑛𝑘: 🖥 https://prodevopsguy.site/terraform-with-azure-devops-ci-cd-pipelines ✈️ 𝐅𝐨𝐥𝐥𝐨𝐰 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs

🛡 𝗞𝘂𝗯𝗲𝗿𝗻𝗲𝘁𝗲𝘀 𝗣𝗼𝗱 𝗦𝗲𝗰𝘂𝗿𝗶𝘁𝘆 𝗔𝗱𝗺𝗶𝘀𝘀𝗶𝗼𝗻 🛡 ➡️ Within Kubernetes, containerized applications are managed as logical units called 𝐏𝐨𝐝𝐬. In any deployment environment, these 𝐏𝐨𝐝𝐬' security is vital. Kubernetes provides various security controls, such as 𝐏𝐨𝐝 𝐒𝐞𝐜𝐮𝐫𝐢𝐭𝐲 𝐒𝐭𝐚𝐧𝐝𝐚𝐫𝐝𝐬 (𝐏𝐒𝐒) and 𝐏𝐨𝐝 𝐒𝐞𝐜𝐮𝐫𝐢𝐭𝐲 𝐀𝐝𝐦𝐢𝐬𝐬𝐢𝐨𝐧 (𝐏𝐒𝐀), to efficiently manage the permissions and capabilities of Pods. These controls ensure that Pods operate with the minimum required access. This approach minimizes the risk of a compromised Pod affecting other resources. [ 𝐊𝐮𝐛𝐞𝐫𝐧𝐞𝐭𝐞𝐬 𝐯𝐞𝐫𝐬𝐢𝐨𝐧 𝐯𝟏.𝟐𝟏 𝐬𝐡𝐢𝐟𝐭𝐞𝐝 𝐟𝐫𝐨𝐦 𝐏𝐨𝐝𝐒𝐞𝐜𝐮𝐫𝐢𝐭𝐲𝐏𝐨𝐥𝐢𝐜𝐲 𝐭𝐨 𝐭𝐡𝐞 𝐧𝐞𝐰 𝐏𝐨𝐝 𝐒𝐞𝐜𝐮𝐫𝐢𝐭𝐲 𝐀𝐝𝐦𝐢𝐬𝐬𝐢𝐨𝐧 𝐜𝐨𝐧𝐭𝐫𝐨𝐥𝐬 ] ➡️ While 𝐏𝐨𝐝𝐒𝐞𝐜𝐮𝐫𝐢𝐭𝐲𝐏𝐨𝐥𝐢𝐜𝐲 served its purpose, the new controls offer a more streamlined and accessible approach to enforcing security policies on Pods. 𝐏𝐨𝐝 𝐒𝐞𝐜𝐮𝐫𝐢𝐭𝐲 𝐀𝐝𝐦𝐢𝐬𝐬𝐢𝐨𝐧 introduces predefined security contexts and customization capabilities, enhancing flexibility, control, and ease of use.Understanding the significance of Pod security is fundamental to managing and operating Kubernetes clusters effectively and securely. ➡️ 𝗨𝗻𝗱𝗲𝗿𝘀𝘁𝗮𝗻𝗱𝗶𝗻𝗴 𝗣𝗼𝗱 𝗦𝗲𝗰𝘂𝗿𝗶𝘁𝘆 𝗔𝗱𝗺𝗶𝘀𝘀𝗶𝗼𝗻 𝐏𝐨𝐝 𝐒𝐞𝐜𝐮𝐫𝐢𝐭𝐲 𝐀𝐝𝐦𝐢𝐬𝐬𝐢𝐨𝐧 is a feature introduced in Kubernetes to enforce clear and consistent isolation levels for Pods. It builds upon the Kubernetes Pod Security Standards, guidelines that govern how Pods behave and interact with other resources. By applying security restrictions at the Kubernetes namespace level when Pods are created, 𝐏𝐨𝐝 𝐒𝐞𝐜𝐮𝐫𝐢𝐭𝐲 𝐀𝐝𝐦𝐢𝐬𝐬𝐢𝐨𝐧 provides a mechanism to ensure that Pods operate with only the necessary permissions. This enhances security and aligns with broader best practices in software deployment, minimizing the risk of unauthorized access or compromised resources. The importance of 𝐏𝐨𝐝 𝐒𝐞𝐜𝐮𝐫𝐢𝐭𝐲 𝐀𝐝𝐦𝐢𝐬𝐬𝐢𝐨𝐧 lies in its ability to make security a fundamental and integral part of the Kubernetes ecosystem. Rather than treating security as an afterthought, 𝐏𝐨𝐝 𝐒𝐞𝐜𝐮𝐫𝐢𝐭𝐲 𝐀𝐝𝐦𝐢𝐬𝐬𝐢𝐨𝐧 ensures that it is part of the design and operation of every Pod. ➡️ 𝗗𝗶𝗳𝗳𝗲𝗿𝗲𝗻𝗰𝗲𝘀 𝗯𝗲𝘁𝘄𝗲𝗲𝗻 𝗣𝗼𝗱 𝗦𝗲𝗰𝘂𝗿𝗶𝘁𝘆 𝗔𝗱𝗺𝗶𝘀𝘀𝗶𝗼𝗻 𝗮𝗻𝗱 𝘁𝗵𝗲 𝗱𝗲𝗽𝗿𝗲𝗰𝗮𝘁𝗲𝗱 𝗣𝗼𝗱𝗦𝗲𝗰𝘂𝗿𝗶𝘁𝘆𝗣𝗼𝗹𝗶𝗰𝘆 Kubernetes version 1.21 significantly shifted from PodSecurityPolicy (PSP) to Pod Security Admission. While PSP intended to enforce security settings on Pods, it was deprecated due to its complexity and lack of flexibility. Pod Security Admission introduces a more streamlined approach, utilizing labels to define admission control modes at the namespace level. These labels dictate the action the control plane takes if a potential violation is detected, such as rejection (enforce), audit annotation (audit), or user-facing warning (warn). 😎 𝐅𝐨𝐥𝐥𝐨𝐰 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs

👍 Greetings from Hyperthink System Pvt Ltd!! 📣 Hiring Alert!! #Freshers ➡️Position: DevOps Engineer ➡️Location: Bangalore ➡️Experience: Freshers 📔 Note: training certification in DevOps is Mandatory ✉️ If Interested Kindly Share Your cv on vineetha@hyperthinksys.com 📱 𝐅𝐨𝐥𝐥𝐨𝐰 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs

𝐂𝐨𝐧𝐭𝐢𝐧𝐮𝐨𝐮𝐬 𝐈𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧 𝐂𝐨𝐧𝐭𝐢𝐧𝐮𝐨𝐮𝐬 𝐃𝐞𝐩𝐥𝐨𝐲𝐦𝐞𝐧𝐭(𝐂𝐈/𝐂𝐃) 𝐏𝐢𝐩𝐞𝐥𝐢𝐧𝐞 ❗️ In today's fast-paced world of software development, success is synonymous with efficiency, rapid deployment, and minimal disruptions. CI/CD pipelines serve as the catalyst for achieving agile development and smoother software delivery. 🔗 𝐖𝐡𝐚𝐭 𝐢𝐬 𝐂𝐈/𝐂𝐃❓ CI/CD, an acronym for Continuous Integration and Continuous Deployment, represents a holistic approach aimed at automating the integration of code changes and their seamless deployment into production. This ensures that your software is in a state of perpetual readiness for deployment, emphasizing incremental updates over unwieldy, error-prone releases. 🛠 𝐇𝐨𝐰 𝐃𝐨𝐞𝐬 𝐚 𝐂𝐈/𝐂𝐃 𝐏𝐢𝐩𝐞𝐥𝐢𝐧𝐞 𝐖𝐨𝐫𝐤❓ Continuous Integration (CI): 🎯Developers craft code and seamlessly upload it to a shared repository. Continuous Deployment (CD): 🎯Once the code emerges unscathed from the rigorous CI phase, it's primed for deployment. ⚙️ 𝐊𝐞𝐲 𝐂𝐨𝐦𝐩𝐨𝐧𝐞𝐧𝐭𝐬 𝐨𝐟 𝐚 𝐂𝐈/𝐂𝐃 𝐏𝐢𝐩𝐞𝐥𝐢𝐧𝐞: ✅ Source Control Management (SCM): This is the digital heart where developers store their code, often utilizing Git-based repositories such as GitHub or GitLab. ✅ Build Tools: These are the skilled artisans that compile, package, and optimize your code for deployment. Popular options include Jenkins, Travis CI, and CircleCI. ✅ Artifact Repositories: Where the precious gems of your code, like Docker images and application binaries, are safely stored for deployment. ✅ Deployment Tools: The automation wizards that wave their magic wands to dispatch your code to different environments, be it Kubernetes, Docker Swarm, or serverless platforms. ✅ Testing Automation: A battalion of unit, integration, and end-to-end tests that vigilantly safeguard your code's quality and functionality. 🌟 Benefits of CI/CD: ✅ Faster Delivery: Smaller, more frequent releases mean quicker feature updates and bug fixes. ✅ Enhanced Collaboration: Developers can simultaneously work on different features, creating harmonious, conflict-free collaboration. 😎 𝐅𝐨𝐥𝐥𝐨𝐰 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs