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

🚀 Update Alert! 🚀 We’ve just rolled out an important update to our AWS Billing Alert Terraform module! v2.0. Here’s what’s new: - 🔄 Updated AWS provider to the latest version for better compatibility. - 🎛 Dynamic thresholds: Easily customize billing alerts with new variables. - 🚨 Enhanced CloudWatch alarms: - Better handling of missing data. - Optimized settings for more accurate alerts. - 📧 Improved SNS subscriptions: Now supports multiple protocols and endpoints. - 📝 Clearer code comments for easier maintenance and understanding.

Make sure to pull the latest changes and update your configurations! 💻

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

🚨 AWS Billing Alert Terraform Module ⚙️ Excited to share my latest open-source contribution - The AWS Billing Alert Terraform Module! 📱 Link: https://github.com/NotHarshhaa/aws-billing-alert-terraform.git Navigating AWS costs can sometimes be tricky. To aid users in proactive cost management, I've developed a Terraform module that automates the setup of billing alerts. With this tool, you'll receive timely notifications if your AWS charges cross predefined thresholds. 📊 Integrated with AWS #CloudWatch - Monitor your #billing metrics seamlessly. 📣 Leverages AWS #SNS - Get instant notifications so you can act swiftly. For those keen on ensuring their AWS expenses stay within predictable boundaries, this tool is a valuable asset for every AWS Engineer. ❤️ 𝐅𝐨𝐥𝐥𝐨𝐰 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs

🔥 AWS DEVOPS REAL-TIME DEPLOYMENT Development → Pre-PROD → Production ⏰ 🔗 Detailed Project Explanation with Screenshots : https://blog.prodevopsguy.xyz/aws-devops-real-time-deployment-dev-pre-prod-production 🔗Project Source code: https://github.com/NotHarshhaa/AWS-DevOps_Real-Time_Deployment 🎄 𝐅𝐨𝐥𝐥𝐨𝐰 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs

⏩ The Ultimate CICD ♾ Corporate DevOps Pipeline Project ⚡️ 🖥 https://www.prodevopsguy.xyz/posts/the-ultimate-cicd-corporate-devops-pipeline-project ❤️ 𝐅𝐨𝐥𝐥𝐨𝐰 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs

📢 Ultimate DevOps Tools Cheatsheet Collection! 🛠 I've just published a comprehensive collection of DevOps Cheatsheets that cover a wide range of tools and topics to help you streamline your workflows and enhance your skills. Whether you're a beginner or looking to deepen your knowledge, these Cheatsheets have got you covered! 📚 What's Inside: - Containerization: Docker, Kubernetes, Helm, Podman - CI/CD: Jenkins, GitHub Actions, GitLab CI, CircleCI - Monitoring: Prometheus, Grafana, ELK Stack, Nagios - Security: Trivy, SonarQube, AquaSec, HashiCorp Vault - Cloud: AWS, Azure, GCP, Terraform ➡️ 👥 Who Is This For? - DevOps Engineers: Get quick access to the tools you use every day. - Sysadmins: Simplify operations with easy-to-follow guides. - Developers: Understand the infrastructure behind your applications. - DevOps Newcomers: Learn the basics and avoid common pitfalls with our beginner-friendly Cheatsheets.

Explore detailed guides, from basic concepts to advanced techniques, and take your DevOps expertise to the next level! 🌟

☁️ Check it out here: DevOps Cheatsheet Repository Feel free to dive in, contribute, and share your thoughts. Happy DevOps-ing! 🚀 📱 𝐅𝐨𝐥𝐥𝐨𝐰 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs

⏩ Kubernetes Cost Reduction Techniques Each technique enables organizations to optimize Kubernetes usage and minimize expenses 𝟭. 𝗥𝗶𝗴𝗵𝘁-𝘀𝗶𝘇𝗶𝗻𝗴 𝗿𝗲𝘀𝗼𝘂𝗿𝗰𝗲𝘀: Analyze app resource usage, adjust CPU/memory as needed. Avoid over-provisioning to save costs 𝟮. 𝗘𝗳𝗳𝗶𝗰𝗶𝗲𝗻𝘁 𝗡𝗼𝗱 & 𝗣𝗼𝗱 𝗔𝘂𝘁𝗼 𝗦𝗰𝗮𝗹𝗶𝗻𝗴: Enable cluster auto-scaling and use Horizontal Pod Autoscaler (HPA) and Vertical Pod Autoscaler (VPA) to add or remove nodes / pods based on resource utilization, reducing idle costs 𝟯. 𝗣𝗼𝗱 𝗗𝗶𝘀𝗿𝘂𝗽𝘁𝗶𝗼𝗻 𝗕𝘂𝗱𝗴𝗲𝘁 (𝗣𝗗𝗕): Set up PDBs to control how many pods of a specific deployment or replica set can be down simultaneously during disruptions, ensuring high availability without overprovisioning 𝟰. 𝗡𝗼𝗱𝗲 𝗧𝗮𝗶𝗻𝘁𝗶𝗻𝗴 𝗮𝗻𝗱 𝗧𝗼𝗹𝗲𝗿𝗮𝘁𝗶𝗼𝗻: Taint nodes for workload-specific delays, prioritize critical tasks on untainted nodes, and use cheaper tainted nodes for less critical tasks 𝟱. 𝗖𝗼𝗻𝘁𝗮𝗶𝗻𝗲𝗿 𝗥𝗲𝗴𝗶𝘀𝘁𝗿𝘆 & 𝗜𝗺𝗮𝗴𝗲 𝗢𝗽𝘁𝗶𝗺𝗶𝘇𝗮𝘁𝗶𝗼𝗻: Use cost-efficient container registry, follow image best practices (e.g., multi-stage builds) for smaller images and reduced pull times & storage costs 𝟲. 𝗦𝗽𝗼𝘁 𝗶𝗻𝘀𝘁𝗮𝗻𝗰𝗲𝘀: Utilize spot instances for non-critical tasks; they're cheaper but can be terminated quickly. Ideal for stateless, fault-tolerant apps 📱 𝐅𝐨𝐥𝐥𝐨𝐰 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs

🚀 𝗖𝗜𝗖𝗗 𝗣𝗶𝗽𝗲𝗹𝗶𝗻𝗲 𝗪𝗼𝗿𝗸𝗳𝗹𝗼𝘄 𝗶𝗻 𝗔𝘇𝘂𝗿𝗲 𝗗𝗲𝘃𝗢𝗽𝘀 🚀 Here we understand the flow of Azure DevOps CI/CD for deploying to Azure Kubernetes Service. 𝟭. 𝗣𝗥 𝗣𝗶𝗽𝗲𝗹𝗶𝗻𝗲 (𝗣𝘂𝗹𝗹 𝗥𝗲𝗾𝘂𝗲𝘀𝘁) 🛠️ Fast quality checks: linting, building, and unit testing the code. 😀 Failed checks prevent PR merge. ✅ Successful run results in PR merge. 𝟮. 𝗖𝗜 𝗣𝗶𝗽𝗲𝗹𝗶𝗻𝗲 (𝗖𝗼𝗻𝘁𝗶𝗻𝘂𝗼𝘂𝘀 𝗜𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻) 🔄 Runs tasks from PR pipeline + integration tests. 🔒 Accesses secrets from Azure Key Vault. 📦 Creates & publishes container image in non-production Azure Container Repository. 𝟯. 𝗖𝗗 𝗣𝗶𝗽𝗲𝗹𝗶𝗻𝗲 𝗧𝗿𝗶𝗴𝗴𝗲𝗿𝗲𝗱 🚀 Completion of CI pipeline triggers CD pipeline. 𝟰. 𝗦𝘁𝗮𝗴𝗶𝗻𝗴 𝗘𝗻𝘃𝗶𝗿𝗼𝗻𝗺𝗲𝗻𝘁 𝗗𝗲𝗽𝗹𝗼𝘆𝗺𝗲𝗻𝘁 📝 Deploys YAML template to staging AKS environment. ✅ Performs acceptance tests on the staging environment. ⚙️ Manual validation task (optional). 𝟱. 𝗖𝗗 𝗣𝗶𝗽𝗲𝗹𝗶𝗻𝗲 - 𝗠𝗮𝗻𝘂𝗮𝗹 𝗩𝗮𝗹𝗶𝗱𝗮𝘁𝗶𝗼𝗻 👤 Manual validation step to validate deployment. 🎙 Manual intervention resumes the pipeline. 𝟲. 𝗣𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻 𝗗𝗲𝗽𝗹𝗼𝘆𝗺𝗲𝗻𝘁 🚀 Promotes image to production Azure Container Registry. 🚢 Deploys YAML template to production AKS environment. 𝟳. 𝗖𝗼𝗻𝘁𝗮𝗶𝗻𝗲𝗿 𝗜𝗻𝘀𝗶𝗴𝗵𝘁𝘀 & 𝗔𝘇𝘂𝗿𝗲 𝗠𝗼𝗻𝗶𝘁𝗼𝗿 📊 Container Insights forwards performance metrics to Azure Monitor. 📈 Azure Monitor collects observability data - logs, metrics, health, and performance. 𝟴. 𝗞𝗲𝘆 𝗖𝗼𝗺𝗽𝗼𝗻𝗲𝗻𝘁𝘀 📦 Container Registry: Stores private container images. 🛠️ AKS: Managed Kubernetes service by Azure. 🔒 Azure Key Vault: Manages secrets for pipelines. 🔍 Defender for DevOps: Performs static analysis, enhances security visibility across AKS pipelines. The workflow integrates various stages ensuring code quality, testing, and secure deployments across non-production and production environments in Azure DevOps. Container Insights, Azure Monitor, and Defender for DevOps enhance monitoring, observability, and security within the CI/CD pipeline. ❤️ Follow for more: @prodevopsguy

🚀 DevOps Project: High-Level Monitoring in DevOps ♾ 🔍 Title: DevOps Project: High-Level Monitoring in DevOps 👨‍💻 Author: ProDevOpsGuy Tech 🌐 Link: Read the full article here 📊 Overview: In the fast-paced world of DevOps, monitoring is a game-changer! 🕹 It ensures that your infrastructure, applications, and services run smoothly and efficiently. In this article, I dive deep into the essential tools for monitoring in DevOps, including: - 🟠 AWS CloudWatch: Real-time monitoring of AWS services. - 🔵 Prometheus: Powerful open-source system monitoring. - 🚨 Alertmanager: Handling and managing alerts. - 📊 Grafana: Interactive dashboards for data visualization. - 🔍 Kibana: Log and time-series analytics with Elasticsearch. 🛠 What You'll Learn: - How to set up and configure these tools. - Best practices for creating a robust monitoring environment. - Tips for ensuring the reliability and scalability of your systems. 👨‍🎓 Whether you're a seasoned DevOps engineer or just starting out, this article will equip you with the knowledge to effectively monitor your systems and improve your software delivery process. 💬 Check it out now and elevate your DevOps monitoring game! 📱 𝐅𝐨𝐥𝐥𝐨𝐰 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs

Remember that time when everyone was like, "Coding? Nah, DevOps is all about automation, CI/CD, blah-blah." Yeah, me too. In 2020, freshman year, convinced myself I could skip "DSA", "messy code" & just focus on DevOps tools. Big mistake. If you are from a Tier 3 college & genuinely want to do good, learn & earn some good bucks, coding & basic computer science knowledge are good to have. In 2020, there wasn't much content on DevOps (or could be my algo), but there were few solid senior OPS / DevOps folks whom I followed. In recent times, there has been huge content overload, conflicting advice, and enough acronyms to fill a dictionary. If I were to start in 2023, I would've been lost too. Why I am sharing this? During my freshman year, I used to follow a guy, from whom I got to know about DevOps. He used to say, "Giving back to the community." In my freshman year, I didn't understand what he meant, but now that I do, I want to share this list of free but best resources/bootcamps you can find online. 1️⃣. DevOps Roadmap by Savinder Puri: https://lnkd.in/d-qTThxi 2️⃣. Computer Networks by Kunal Kushwaha: https://lnkd.in/dWmq_ygr && Git/Github tutorial: https://lnkd.in/dGKHzNYg 3️⃣. Docker by Gourav Shah: https://lnkd.in/dKp6bnEA 4️⃣. Playlist of different tools by Kubesimplify / Saiyam Pathak: https://lnkd.in/dWbEP993 5️⃣. Jenkins by Mukesh Otwani: https://lnkd.in/deXCYGkj 6️⃣. Kubernetes by Abhishek Veeramalla: https://lnkd.in/dA6_mtnh 7️⃣. Cloud by ExamPro / Andrew Brown: https://www.exampro.co/ 8️⃣. GoLang by Anthony GG: https://lnkd.in/dwVKg8DG 🛒 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝗳𝗼𝗿 𝗺𝗼𝗿𝗲 𝘀𝘂𝗰𝗵 𝗰𝗼𝗻𝘁𝗲𝗻𝘁 𝗮𝗿𝗼𝘂𝗻𝗱 𝗰𝗹𝗼𝘂𝗱 & 𝗗𝗲𝘃𝗢𝗽𝘀!!!

SCENARIO BASED INTERVIEW QUESTIONS FOR LINUX 🐧 🔢. File System Management - Scenario: A critical production server is running out of disk space. How would you identify which directories or files are consuming the most space, and what steps would you take to free up space? - Possible Follow-up: How would you set up monitoring to avoid this situation in the future? 🔢. Process Management - Scenario: A service running on a Linux server is not responding, but you see the process is running. How would you troubleshoot and resolve this issue? - Possible Follow-up: What tools would you use to diagnose high CPU or memory usage by a process? 🔢. Network Configuration - Scenario: You need to configure a Linux server to use a static IP address. How would you do it? What files would you modify? - Possible Follow-up: How would you troubleshoot if the server is not reachable after the change? 🔢. User and Permissions Management - Scenario: A user is unable to access a file they should have access to. How would you diagnose and fix the issue? What command would you use to check file permissions? - Possible Follow-up: How would you grant a user sudo privileges on a system? 🔢. Service Management - Scenario: A critical service needs to be started automatically on system boot. How would you ensure this service is started, and how would you verify it? - Possible Follow-up: How would you temporarily disable a service for troubleshooting? 🔢. Log Management - Scenario: A server is experiencing intermittent issues, and you need to monitor logs in real-time. What command would you use, and how would you filter logs for relevant information? - Possible Follow-up: How would you configure log rotation to manage log file sizes? 🔢. Package Management - Scenario: You need to install a specific version of a software package on a Linux server, but the version is not available in the default repositories. How would you proceed? - Possible Follow-up: How would you remove a package along with its configuration files? 🔢. Security and SSH Management - Scenario: You need to set up SSH key-based authentication for a user on a remote server. How would you do it? - Possible Follow-up: How would you secure an SSH server to prevent unauthorized access? 🔢. Cron Jobs and Automation - Scenario: You need to schedule a backup script to run daily at midnight. How would you set up the cron job, and how would you verify it’s working correctly? - Possible Follow-up: How would you troubleshoot if a cron job is not running as expected? ⚡️ 𝐅𝐨𝐥𝐥𝐨𝐰 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs

📱 Exciting news for DevOps enthusiasts! Check out these free DevOps labs from KodeKloud and level up your skills today! ⚙️

Don't miss out on this opportunity to enhance your knowledge.

✅ Visit KodeKloud Free Labs now! - https://kodekloud.com/free-labs 📱 𝐅𝐨𝐥𝐥𝐨𝐰 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs

📢 Production Level CI/CD Pipeline Project 🚀 🖥 Check it out here: Production Level CI/CD Pipeline Project 📖 In this article, I dive deep into the end-to-end CI/CD pipeline setup, covering every tool and step involved, including: 🔹 GitHub: Code management and version control 🔹 Jenkins: CI/CD orchestration 🔹 Terraform: Infrastructure as code 🔹 Maven: Build and artifact management 🔹 Trivy: Docker image scanning 🔹 SonarQube: Code quality checks 🔹 Docker: Containerization 🔹 Amazon EKS: Kubernetes orchestration 🔹 Grafana & Prometheus: Monitoring and visualization 🔹 GoDaddy: Domain mapping

Whether you're looking to enhance your CI/CD skills or need a comprehensive guide to setting up a production-level pipeline, this article has got you covered! 💡

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

🐬 Docker Networking: When Containers Talk: Decoding the Secret Language of Docker Networking. 🔢: Bridge (Default): ➡️ The default, isolated network where containers get unique IP addresses and can communicate with other containers on the same host. ➡️Use Cases: ➡️ Ideal for most containerized applications that need network isolation and communication within the host. ➡️ Well-suited for development, testing, and staging environments. 🔢: None: ➡️ Disables networking entirely, isolating the container from any network. ➡️Use Cases: ➡️ Niche use cases where no network access is required (e.g., headless tasks, security-sensitive processes). ➡️ Not recommended for general-purpose container usage. 🔢: Host: ➡️ Shares the host's network namespace, allowing containers to directly use the host's IP address and ports. ➡️Use Cases: ➡️ Exposing container services to the host's network without complex port mappings. ➡️ Useful for testing and development, but exercise caution due to potential security risks in production. 🔢: Overlay: ➡️ Description: Creates a virtual network across multiple Docker hosts, enabling container communication regardless of their physical location. ➡️Use Cases: ➡️ Orchestrated deployments with Docker Swarm or Kubernetes where containers need to communicate across hosts. ➡️ Highly scalable network for distributed applications. 😎 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝗳𝗼𝗿 𝗺𝗼𝗿𝗲 𝘀𝘂𝗰𝗵 𝗰𝗼𝗻𝘁𝗲𝗻𝘁 𝗮𝗿𝗼𝘂𝗻𝗱 𝗰𝗹𝗼𝘂𝗱 & 𝗗𝗲𝘃𝗢𝗽𝘀!!! // Join for DevOps DOCs: @devopsdocs

👾 DevOps Real-time scenarios 👾 🔴 Scenario 1: Service Outage Issue: A critical service experiences an outage, impacting users and business operations. 😀 Resolution: ✔️ Incident Response: Quickly activate the incident response plan to diagnose and address the root cause of the outage. ✔️ Rollback Plan: If possible, execute a rollback plan to restore the service to a stable state. ✔️ Failover and Redundancy: Implement failover mechanisms and redundancy to minimize the impact of single points of failure. ✔️ Monitoring and Alerting: Enhance monitoring and alerting systems to proactively detect and respond to potential outages. --------------------------------------------- 🔴 Scenario 2: Cross-Functional Collaboration Issue: Communication breakdowns between development and operations teams lead to misunderstandings and delays. 😀 Resolution: ✔️ Cross-Functional Teams: Foster a culture of collaboration by having mixed teams with members from development, operations, and other relevant departments. ✔️ Shared Tools: Use tools that are accessible and understandable by both developers and operations teams. ✔️ Continuous Communication: Encourage regular meetings, stand-ups, and knowledge-sharing sessions to align goals and expectations. ✔️ Blameless Post-Mortems: Conduct blameless post-mortems to analyze failures, identify improvements, and avoid assigning blame. ❤️ Follow for more: @prodevopsguy

👉 🆘 A comprehensive collection of essential DevOps tools for development, deployment, monitoring, and more. 🆘 🔗 Link: https://github.com/NotHarshhaa/devops-tools 🔗 We Explained Each and Every Tools with Detailed Manner with their official site links 🔫 => Table of Contents 1. Development Environment Tools 2. Source Code Management 3. Build Tools 4. Continuous Integration Tools 5. Artifact Management Tools 6. Code Analysis Tools 7. Continuous Delivery & GitOps Tools 8. Infrastructure Provisioning Tools 9. Cloud Cost Management Tools 10. Configuration Management Tools 11. Secret Management Tools 12. Config/Service Discovery Tools 13. Containerization Tools 14. Container Orchestration Tools 15. Container Security Tools 16. Policy Management Tools 17. Service Mesh Tools 18. Logging Tools 19. Monitoring & Observability Tools 20. Visualization Tools 21. Internal Developer Platform Tools 22. API Tools 23. Collaboration Tools 24. Backups and Restoration Tools 25. Cloud Providers ✉️ 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝗳𝗼𝗿 𝗺𝗼𝗿𝗲 𝘀𝘂𝗰𝗵 𝗰𝗼𝗻𝘁𝗲𝗻𝘁 𝗮𝗿𝗼𝘂𝗻𝗱 𝗰𝗹𝗼𝘂𝗱 & 𝗗𝗲𝘃𝗢𝗽𝘀!!!

🐬 Docker is a software platform that allows you to build, test, and deploy applications quickly. 𝗕𝗲𝘀𝘁 𝗦𝗲𝗰𝘂𝗿𝗶𝘁𝘆 𝗣𝗿𝗮𝗰𝘁𝗶𝗰𝗲𝘀 𝗳𝗼𝗿 𝗗𝗼𝗰𝗸𝗲𝗿 ✔️ Always use a specific version for the base image for Dockerfile. ✔️Optimize your docker image by using a smaller base image. ✔️Specify the correct working directory in Dockerfile. ✔️Always use the .dockerignore fi… ✔️Copying package.json Separate from Source Code. ✔️Use non root user. ✔️Multistage build for production. ✔️Exposing port in Dockerfile. ❤️ Follow for more: @prodevopsguy

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