How GitHub Actions Can Boost Your CI/CD Pipeline

🚀 From Zip Files to Kubernetes — and Why Empathy Is the Ultimate Skill When I joined a startup a few years ago, deployments were done by uploading zip files over SSH to a monolith. No pipelines. No automation. Just pure chaos and caffeine ☕. I reported directly to the CTO and had total freedom to decide what to fix first. Back then, I knew AWS and Docker (I was even a Docker Captain in my home country 🇭🇳), but my Kubernetes knowledge was close to zero. So I made a plan: Treat the team like my clients. Find their pain points. Empower them. And eventually make myself redundant. First big issue? Two repos — Bitbucket and GitLab — each with its own CI. Developers preferred GitLab, so I migrated everything there and unified the process. Then came automating deployments, introducing Docker, and finally Kubernetes. We even containerized the monolith so every service shared the same lifecycle. Everything was managed through Terraform — one pipeline from dev to prod. Once automation was solid, we worked on testing culture (no deploy without passing tests ✅) and monitoring (from Grafana to Datadog). I also optimized costs using spot instances — because empathy also means respecting the budget 😉. Years later, seeing new developers onboard in a day, own their services, and deploy confidently was incredibly rewarding. My favorite KPI? 👉 The number of “thank yous” per day. The closer it is to zero, the better the system runs. Takeaway: Tools matter, but empathy and curiosity matter more.

You know that little frustration when you have to open GitHub, create a repo, copy the link, come back to your project tool, and set things up manually? Yeah… that’s gone. We’ve hit our first milestone in building DevOps for Frappe apps, you can now create GitHub repositories directly from the LENS Project Management tool. No tab-hopping. No manual setup. Just start and go. Next up, we’re making sure your local environment stays in sync, switching projects, updating repos, and tracking stories without leaving your flow. 𝗧𝗵𝗮𝘁’𝘀 𝘄𝗵𝗲𝗿𝗲 𝗖𝗵𝗼𝗿𝗱𝗶𝘂𝗺 𝗰𝗼𝗺𝗲𝘀 𝗶𝗻 𝗮𝗴𝗮𝗶𝗻. It connects your LENS Project Module to your local setup so your tasks, commits, and stories move together. 𝗛𝗲𝗿𝗲’𝘀 𝘄𝗵𝗮𝘁 𝗶𝘁 𝗱𝗼𝗲𝘀: → Switch projects from your terminal → Auto-clone or pull repos → Instantly set your active context One command. Zero friction. You build - Chordium handles the setup. 🚀 Follow us to see how we’re shaping connected DevOps, one step at a time. #Chordium #DevOps #ProjectManagement #GitIntegration #ProductivityTools #SoftwareDevelopment

🧠 𝗚𝗶𝘁 𝗳𝗼𝗿 𝗗𝗲𝘃𝗢𝗽𝘀 𝗕𝗲𝗴𝗶𝗻𝗻𝗲𝗿𝘀 — 𝗧𝗵𝗲 𝗣𝗼𝘄𝗲𝗿 𝗼𝗳 𝗩𝗲𝗿𝘀𝗶𝗼𝗻 𝗖𝗼𝗻𝘁𝗿𝗼𝗹 🚀 Before you automate pipelines or deploy cloud clusters, you must master the foundation every engineer relies on — 𝗩𝗲𝗿𝘀𝗶𝗼𝗻 𝗖𝗼𝗻𝘁𝗿𝗼𝗹. That’s where 𝗚𝗶𝘁 comes in — the backbone of collaboration in DevOps and software development. 💡 𝗪𝗵𝗮𝘁 𝗶𝘀 𝗚𝗶𝘁? Git is an 𝗼𝗽𝗲𝗻-𝘀𝗼𝘂𝗿𝗰𝗲 𝗱𝗶𝘀𝘁𝗿𝗶𝗯𝘂𝘁𝗲𝗱 𝘃𝗲𝗿𝘀𝗶𝗼𝗻 𝗰𝗼𝗻𝘁𝗿𝗼𝗹 𝘀𝘆𝘀𝘁𝗲𝗺 that tracks changes in your code, allowing multiple people to work on the same project without conflicts or data loss. Every DevOps workflow — from 𝗖𝗜/𝗖𝗗 𝗽𝗶𝗽𝗲𝗹𝗶𝗻𝗲𝘀 𝘁𝗼 𝗜𝗻𝗳𝗿𝗮𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲 𝗮𝘀 𝗖𝗼𝗱𝗲 — starts with Git! 📘 𝗪𝗵𝘆 𝗚𝗶𝘁 𝗶𝘀 𝗘𝘀𝘀𝗲𝗻𝘁𝗶𝗮𝗹 𝗳𝗼𝗿 𝗗𝗲𝘃𝗢𝗽𝘀 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝘀:  • 🧱 Tracks every change in your project  • 🌿 Enables branching, merging, and collaboration  • 🔁 Integrates with CI/CD tools like Jenkins, GitHub Actions, and GitLab  • ⚙️ Used to manage configuration, infrastructure code, and deployment scripts  • 🧠 Helps roll back to stable versions during failures 🔍 𝗞𝗲𝘆 𝗚𝗶𝘁 𝗖𝗼𝗻𝗰𝗲𝗽𝘁𝘀 𝘁𝗼 𝗠𝗮𝘀𝘁𝗲𝗿: 𝗴𝗶𝘁 𝗶𝗻𝗶𝘁 — Start a repository 𝗴𝗶𝘁 𝗮𝗱𝗱 — Stage your changes 𝗴𝗶𝘁 𝗰𝗼𝗺𝗺𝗶𝘁 — Save your snapshot 𝗴𝗶𝘁 𝗯𝗿𝗮𝗻𝗰𝗵 / 𝗴𝗶𝘁 𝗺𝗲𝗿𝗴𝗲 — Work on multiple features safely 𝗴𝗶𝘁 𝗽𝘂𝘀𝗵 / 𝗴𝗶𝘁 𝗽𝘂𝗹𝗹 — Collaborate with remote repositories 🎯 𝗥𝗲𝗮𝗹-𝗪𝗼𝗿𝗹𝗱 𝗨𝘀𝗲 𝗖𝗮𝘀𝗲: Imagine your team is developing a web app with multiple microservices. Git ensures each engineer can code, test, and push changes without overwriting others’ work — while Jenkins automatically builds and deploys every commit. 📄 𝗣𝗿𝗼 𝗧𝗶𝗽: Start using Git daily — even for your personal projects. The more you commit, the more you grow as an engineer. 🌐 𝗞𝗹𝗼𝘂𝗱𝗕𝘂𝗶𝗹𝗱 𝗔𝗰𝗮𝗱𝗲𝗺𝘆 Learn Fast. Build Smart. Deploy Confidently. Innovate Wisely. #Git #DevOps #VersionControl #CloudComputing #Automation #InfrastructureAsCode #CI_CD #KloudBuild #KloudBuildAcademy #WeBuildCloudCareersAndSolutions

Breaking (and Fixing) Things: My Path to Understanding Production Deployments A week ago, I wondered how big tech organizations deploy their applications. I started reading stuff and decided why not just try to simulate it and learn by actually doing it. So, I started a project to understand how companies deploy applications. Not just theory—actual hands-on implementation. What's Built So Far: - Automated CI/CD pipeline with GitHub Actions (self-hosted runner) - Multi-environment setup (Staging → Production) - Docker containerization with semantic versioning - Rollback mechanisms and health checks before deployment - Manual approval gates for production releases - Git tagging for efficient traceability The Goal: Understanding the "why" behind DevOps practices, not just the "how." Why do we separate environments? Why version everything? Why automate rollbacks? Real scenario: When a health check failed in staging, the pipeline automatically rolled back to the previous version. No manual intervention. That's when it clicked. What's Next: This is obviously not all that actual production deployments pursue. So some major future integrations I'll be trying to implement are: - Kubernetes orchestration for container management - Observability stack (Prometheus, Grafana, logging) - Security testing - Maybe add a database to handle stateful workloads? Would love feedback from the DevOps community, what critical practices am I missing? Tech Stack: Docker, GitHub Actions, Flask, self-hosted runners Full documentation: https://lnkd.in/dNv32uX5 #DevOps #CICD #Docker #Kubernetes #CloudEngineering #Automation #LearningInPublic #BuildInPublic

My Favorite DevOps Tool That Almost No One is Talking About (Yet!) Working with Kubernetes can feel like living in a massive, bustling city without a good map or GPS. You know there are thousands of things happening, but finding that one misbehaving pod or checking logs across multiple containers can quickly turn into a kubectl command-line marathon. That's where k9s swoops in like a superhero. If you're managing Kubernetes clusters and aren't using k9s (or haven't even heard of it!), you're seriously missing out. It's an open-source, terminal-based UI for Kubernetes that transforms how you interact with your clusters. Why is it my secret weapon? -> Real-time Visibility: Instantly see the state of your pods, deployments, services, and more, all updating live. No more guessing if that new deployment is actually spinning up. -> Navigational Magic: Easily drill down from a namespace to deployments, then to specific pods, and even into container logs with simple keyboard shortcuts. It's like having X-ray vision for your cluster. -> Troubleshooting Powerhouse: Need to restart a pod? Port-forward a service? Describe a resource to see its YAML? All a few keystrokes away, without remembering a dozen kubectl flags. -> Intuitive & Fast: It feels like a natural extension of your terminal, keeping you productive without context switching to a browser UI. I used to dread jumping into unfamiliar clusters. Now, k9s is the first thing I launch. It dramatically reduces the cognitive load and makes me feel much more in control. What's that one niche tool in your DevOps toolkit that you absolutely swear by, but feel like doesn't get enough love? Share your hidden gems! #DevOps #Kubernetes #K8s #DeveloperTools #SRE #CloudNative #ProductivityHacks #OpenSource

What is DevOps ??? Most developers think DevOps = deployment. But it’s way more. DevOps is about building a bridge between your code and your users. It’s the mindset of: “Build fast, test faster, deliver continuously.” In a MERN project, that means: You push code → It’s tested automatically. It gets deployed → Without manual setup. You track performance → In real-time. That’s DevOps in action — making your ideas live and reliable. 💬 Your turn: What’s the most painful part for you — deploying, debugging, or scaling? Let’s fix it together in this series... #DevOps #MERNStack #FullStackDevelopment #CI_CD #DevelopersCommunity

The day GitHub Actions taught me a CI/CD scalability lesson I was setting up a multi-region deployment for an app. Three regions. One goal: build once, deploy everywhere. Why waste time rebuilding the same thing three times, right? So my plan was simple: ✅ Build → upload artifact → reuse across all regional deploys. Everything worked perfectly... until one random day, my pipeline broke with this message: ❌ “Artifact size limit exceeded. Please try again later.” I thought it was temporary. Retried. Waited. Failed again. That’s when I learned the hidden part GitHub gives you a timed quota for artifact storage per account. Once you hit it, you’re done until the quota resets. That’s not ideal for continuous deployments. So, I tried something different 1. Pushed the build artifact to AWS S3 2. Shared pre-signed links with all deployment jobs 3. Added a 7-day cleanup policy for automatic reset The result? One centralized build → multiple regional deployments → zero quota headaches. This tiny change made the pipeline faster, cleaner, and scalable. And honestly, that’s the beauty of DevOps you don’t just fix errors; you try to design resilience. for more info, check out https://lnkd.in/gbnQjgiU #DevOps #GitHubActions #AWS #CICD #Engineering #CloudOps

𝗣𝗼𝗽𝘂𝗹𝗮𝗿 𝗖𝗜/𝗖𝗗 𝘁𝗼𝗼𝗹𝘀 ̲𝗚𝗶𝘁𝗟𝗮𝗯 𝗖𝗜/𝗖𝗗 This tools is integrated with GitLab. This is a perfect tool for you if you use GitLab for version control and store all your code there.  It's user-friendly. 𝗝𝗲𝗻𝗸𝗶𝗻𝘀 Most popular tool in the industry. It's open-source and most powerful one to use. It's complex but once you get the hang of it you would be able to use it effectively. 𝗖𝗶𝗿𝗰𝗹𝗲-𝗰𝗶 This is a cloud-based tool that provides easy usability and it's speed. It integrate with GitHub and it's the favourite option for small teams and start-ups. There are also tools like Travis and GitHub Actions, among many others. The key takeaway is the importance of understanding your tools doing so allows you to adapt to different environments and choose what best fits your workflow and needs. #CI/CD #DevOps #CoderCO

CI/CD at Scale: Blueprints for Multi-Repo Mastery! In 2025, scaling CI/CD across multiple repos demands shared standards to keep things efficient, secure, and consistent. Multi-repo setups shine for large teams or monorepos-turned-microservices, but without blueprints, chaos ensues. Let’s explore reusable workflows, governance tips, and tools like GitHub Actions to build scalable pipelines that accelerate delivery! Blueprints for Multi-Repo CI/CD: Reusable Workflows: Create centralized templates for common tasks (e.g., build, test, deploy). In GitHub Actions, use composite actions or reusable workflows to share YAML files across repos e.g., a standard "lint-and-test" workflow triggered on PRs. Shared Standards: Enforce consistency with organization-wide configs like .github/workflows templates or GitHub's reusable workflow repositories. This ensures every repo follows security scans, code quality checks, and deployment gates. Scalability Benefits: A tech enterprise scaled their CI/CD to 100+ repos using GitHub Actions, cutting build times by 50% and reducing pipeline failures by 40%. Reusable workflows meant faster onboarding and fewer custom hacks hello, 3x deployment speed! Governance Tips: Centralized Governance: Use tools like GitHub's organization rulesets to enforce branch protections, required checks, and secrets management across repos. Automation Stats: Automate audits with tools like Dependabot for dependency updates or Snyk for vuln scans—stats show this can prevent 70% of security issues pre-merge. Pipeline Templates: Start with open-source blueprints (e.g., GitHub's starter workflows) customized for your stack. Pro tip: Version templates and use inputs/parameters for flexibility. Get Started: Dive into GitHub Actions for YAML-based pipelines, or explore GitLab CI for similar multi-project templates. Combine with Terraform for infra-as-code to orchestrate at scale. #CICD #DevOps #GitHubActions #ScalablePipelines #Automation #SoftwareEngineering #TechLeadership

⚙️ The Power of CI/CD in Modern Development 🔧 In today’s fast-paced development world, Continuous Integration and Continuous Delivery (CI/CD) are the backbone of efficient, reliable, and scalable software delivery. Among the many tools available, Bitbucket Pipelines stands out for its simplicity and power — integrating builds, tests, and deployments right where your code lives. 🔄 Recently, I completed two LinkedIn Learning courses to strengthen my skills 📈: • Bitbucket Pipelines for CI/CD (https://lnkd.in/gjGS7ACi) • Learning Bitbucket (https://lnkd.in/gFqdvDUh) Excited to apply these skills in future DevOps and cloud projects, building automation workflows that make development smoother and faster. Thanks to Ben Onucki for laying the foundation of Bitbucket for me and guiding me through practical organization level uses. 💬 What’s your go-to CI/CD tool? #CICD #Bitbucket #DevOps #Automation #ContinuousLearning #CloudEngineering Atlassian