GitHub Actions Tip: Fixing PATH Resets for Self-Hosted Runners

🧪 Tried GitHub Code Quality (preview): promising integration! I’ve just started testing GitHub Code Quality (public preview), and honestly… it looks really promising. GitHub is finally bringing code maintainability and reliability checks natively into the platform — no plugins, no extra dashboards. Everything happens where developers already live: in their repos and pull requests. 🧠 With AI-powered suggestions (via Copilot), automated fixes, and a integrated dashboard. 💪 Of course, Sonar still leads the field today: - 30+ languages supported - Thousands of expert-curated rules covering bugs, code smells, maintainability issues, and security weaknesses in source code - … ⚙️ Where GitHub stands out is integration and developer experience. Having quality, security(sast,sca) , and AI-assisted remediation all in one place could simplify a lot — especially for teams already all-in on GitHub. ⚔️ It’s not really GitHub vs Sonar — it’s platform vs tool. Curious to see how far GitHub will take it ? Keep you posted #GitHub #CodeQuality #SonarQube #DevOps #DeveloperExperience #SoftwareEngineering #AI

Discover how DNSimple scaled from manual GitHub repo management to a seamless, automated workflow using #Terraform, CI/CD, and Infrastructure as Code. Boost your team's productivity, enforce consistency, and make large-scale repository changes a breeze! 🚀 Read more 👉 https://lnkd.in/d4FCiqfp #InfrastructureAsCode #Terraform #DevOps #GitHub #CloudEngineering #Scalability #CodeReview

🚀 Tired of managing multiple GitHub Action files doing almost the same thing? Let’s talk about a game-changer — GitHub Reusable Workflows. We’ve all used GitHub Actions at some point. Usually, there’s one or two workflow files in our repo. But as the codebase grows — more tests, more microservices, more environments — your GitHub workflows multiply too. Soon, you might have 10–20 YAML files doing similar jobs, and updating each one becomes… painful 😩. Wouldn’t it be awesome if you could create something like a function and reuse it across all workflows with different inputs? Well, you actually can — thanks to GitHub Reusable Workflows 💡 click here to find how actually can you do it!. https://lnkd.in/g-A74gag #GitHub #DevOps #CICD #GitHubActions #Automation #SoftwareEngineering #YAML #DeveloperExperience

🚀 DevOps 365 Days Challenge - Day 76 🚀 Troubleshooting Nginx + PHP-FPM in Kubernetes 🔧 Today's challenge involved debugging and fixing a broken Nginx and PHP-FPM setup running in a Kubernetes pod. This is a common real-world scenario that every DevOps engineer encounters! 🎯 The Challenge: Pod: nginx-phpfpm (halted functionality) Two containers: nginx-container + php-fpm-container ConfigMap: nginx-config (containing misconfigurations) Task: Identify the issue, fix it, and deploy the application 📚 Documentation Created: Complete troubleshooting guide (README.md) Step-by-step command reference (commands.md) Configuration examples and best practices 💡 Key Takeaway: Always verify your fastcgi_pass configuration and ensure SCRIPT_FILENAME parameter is correctly set when working with Nginx and PHP-FPM. Small misconfigurations can halt entire applications! 🔗 Full solution and documentation: https://lnkd.in/gc5trHum #DevOps #Kubernetes #K8s #Nginx #PHPFPM #CloudNative #ContainerOrchestration #DevOps365Days #Day76 #LearningInPublic #TechChallenge #SRE #CloudComputing #Docker #Troubleshooting #InfrastructureAsCode #DevOpsCommunity #TechLearning #ContinuousLearning

 Decided to do what I do best — build and automate. I recently created a simple CI/CD pipeline using Jenkins and Docker that automatically builds and pushes Docker images to DockerHub whenever I push new code to GitHub. The pipeline is fully automated with webhook triggers, so Jenkins instantly detects updates from GitHub, builds a fresh Docker image, tags it with the build number, and pushes it to my DockerHub repository (no manual steps needed). This little helped me sharpen what I enjoy most: - Automating workflows with Jenkins - Using Docker for consistent builds - Managing secure credentials and image tagging - Webhook Triggers for CI/CD Automation and pipeline scripting You can check out the project and pipeline diagram here 🔗 https://lnkd.in/eiSkthvi #DevOps #Jenkins #Docker #Automation #CI_CD #ContinuousIntegration #ContinuousDeployment

🚀 Day 44 of #100DaysOfDevOps – Writing a Docker Compose File “Experience is the name everyone gives to their mistakes.” — Oscar Wilde Today’s learning hit right where it counts — attention to detail. The task was to create a Docker Compose file for hosting a static website using Apache (httpd). It seemed simple… until I hit a persistent YAML error. I double-checked syntax, reviewed every key, and even reinstalled Compose — but the error remained. After a solid debugging session, I realized the issue was nothing more than an indentation error. Yes, a few misplaced spaces broke the entire automation! That moment reinforced a powerful DevOps truth — YAML is unforgiving, and even minor formatting issues can halt your deployment pipeline. Precision is everything. Here’s the clean, working docker-compose.yml I ended up with: version: '3' services: web: image: httpd:latest container_name: httpd ports: - "8083:80" volumes: - /opt/security:/usr/local/apache2/htdocs This setup successfully launched the httpd container with port mapping and volume configuration in a single command: docker compose up -d Today’s insight: 👉 Small mistakes teach big lessons. In DevOps, precision and patience are as important as code and automation. #Day44 #100DaysOfDevOps #Docker #DockerCompose #DevOps #Automation #Containerization #YAML #Apache #WebServer #LearningInPublic #Debugging #ProblemSolving #Linux #InfrastructureAsCode #SRE #DevOpsCulture #CloudComputing #EngineeringExcellence #BuildInPublic #ContinuousLearning

🚀  Stop refreshing GitHub Actions. Get deployment notifications via SMS. Context switching kills your flow state — and nothing breaks focus like staring at a CI/CD screen waiting for “✅ Success.” Here’s how I fixed it permanently in under 5 minutes. 👇 Most devs (me included) used to refresh GitHub Actions like maniacs. Now I get a text the moment a deployment finishes — no browser tabs, no guessing, no wasted time. 💡 The setup:  name: Send deployment notification  run: |   curl -X POST https://textbelt.com/text \    --data-urlencode phone='${{ secrets.TEXTBELT_PHONE }}' \    --data-urlencode message='✅ Deployment complete' \    -d key='${{ secrets.TEXTBELT_API_KEY }}' ✅ Add two secrets: your phone + API key ✅ Costs ~$0.01 per text ✅ Works perfectly for prod deploys, CI/CD runs, ML model training, or weekend maintenance Why this matters: ⚙️ Zero context switching 🔔 Instant failure alerts 💵 Costs less than a cup of coffee per month 🧠 Preserves your mental focus and shipping rhythm The best debugging? Knowing something failed the moment it happens — not hours later. What repetitive task are you still manually monitoring? Drop it below 👇 — I’m building a list of “one-line automations” that save devs real time. #DevOps #GitHub #Automation #DeveloperProductivity #CI/CD #CodingTips

You've just deployed a new package version to 50 production bots... and the error alerts start flooding in. 🤯 A critical bug in version 2.1.1 made it through. The last stable version was 2.1.0, and it's available in your Orchestrator tenant feed. Your source of truth is a GitHub repository, where the buggy code is now on the main branch. What's your immediate action plan to restore service in Orchestrator? And what's your strategy for handling the source code in GitHub to prevent a re-deployment of the faulty version? What’s your take on this? Wait for 24hrs to get answer For deep dives into versioning strategies, find remaining information here. https://lnkd.in/gKnNnBCg #UiPath #RPA #AutomationChallenge #DevOps #PackageManagement #GitHub #UiPathCommunity #AutomationCareers #UiPathInterview #RPATrends #DataProcessing #Optimization #AccelirateInc

What do GitHub Actions workflows look like in prod? I'll give you a clue: Branching strategies. One of the benefits of CI/CD is that any code that passes all stages of the development pipeline is automatically pushed to production. To really leverage that benefit however, we implement branching strategies. This is a way of filtering our workflow triggers, only running our them when changes are pushed to specific branches. In this case, it would be the main branch (or whatever branch our production code is on). This allows us to work on new features & bug fixes on separate branches in the background, keeping our application running until our changes are ready, maximising uptime. Have you implemented branching strategies into your work? #devops #git #github #cicd  

Learn how to create, manage and clean up namespaces in Kubernetes using simple kubectl commands. Organize your cluster and avoid costly mistakes. By Sunny Yadav