𝐌𝐨𝐬𝐭 𝐭𝐞𝐚𝐦𝐬 𝐚𝐫𝐞 𝐮𝐬𝐢𝐧𝐠 𝐆𝐢𝐭𝐇𝐮𝐛 𝐥𝐢𝐤𝐞 𝐚 𝐟𝐢𝐥𝐢𝐧𝐠 𝐜𝐚𝐛𝐢𝐧𝐞𝐭. 𝐆𝐢𝐭𝐇𝐮𝐛 𝐄𝐧𝐭𝐞𝐫𝐩𝐫𝐢𝐬𝐞 𝐢𝐬 𝐚𝐧 𝐞𝐧𝐭𝐢𝐫𝐞𝐥𝐲 𝐝𝐢𝐟𝐟𝐞𝐫𝐞𝐧𝐭 𝐭𝐡𝐢𝐧𝐠. If your developers are on GitHub Free or a basic plan, you're getting version control. That's it. 𝐆𝐢𝐭𝐇𝐮𝐛 𝐄𝐧𝐭𝐞𝐫𝐩𝐫𝐢𝐬𝐞 is what happens when you treat software delivery as a system — not just a collection of repositories. 𝐇𝐞𝐫𝐞'𝐬 𝐰𝐡𝐚𝐭 𝐭𝐡𝐚𝐭 𝐚𝐜𝐭𝐮𝐚𝐥𝐥𝐲 𝐥𝐨𝐨𝐤𝐬 𝐥𝐢𝐤𝐞 𝐢𝐧 𝐩𝐫𝐚𝐜𝐭𝐢𝐜𝐞: ⚙️ 𝐆𝐢𝐭𝐇𝐮𝐛 𝐀𝐜𝐭𝐢𝐨𝐧𝐬 — automate your entire CI/CD pipeline. Build, test, and deploy without leaving GitHub. Enterprises using Actions see up to 32% 𝐫𝐞𝐝𝐮𝐜𝐭𝐢𝐨𝐧 𝐢𝐧 𝐝𝐞𝐩𝐥𝐨𝐲𝐦𝐞𝐧𝐭 𝐭𝐢𝐦𝐞. ☁️ 𝐆𝐢𝐭𝐇𝐮𝐛 𝐂𝐨𝐝𝐞𝐬𝐩𝐚𝐜𝐞𝐬 — fully configured cloud development environments, spun up in seconds. No more "𝐰𝐨𝐫𝐤𝐬 𝐨𝐧 𝐦𝐲 𝐦𝐚𝐜𝐡𝐢𝐧𝐞." 🔒 𝐁𝐫𝐚𝐧𝐜𝐡 𝐩𝐫𝐨𝐭𝐞𝐜𝐭𝐢𝐨𝐧 & 𝐨𝐫𝐠-𝐰𝐢𝐝𝐞 𝐩𝐨𝐥𝐢𝐜𝐢𝐞𝐬 — enforce code review requirements, approval workflows, and compliance rules across every repository, automatically. 📋 𝐆𝐢𝐭𝐇𝐮𝐛 𝐏𝐫𝐨𝐣𝐞𝐜𝐭𝐬 — planning and tracking built directly into your delivery workflow, not bolted on as a separate tool. 🌍 𝐄𝐧𝐭𝐞𝐫𝐩𝐫𝐢𝐬𝐞 𝐬𝐜𝐚𝐥𝐞— 92% 𝐨𝐟 𝐅𝐨𝐫𝐭𝐮𝐧𝐞 100 𝐜𝐨𝐦𝐩𝐚𝐧𝐢𝐞𝐬 run on GitHub Enterprise. It's not a developer preference. It's an enterprise standard. The question we hear most from organisations: "We already have Azure DevOps — do we need GitHub Enterprise too?" The answer isn't either/or. As a 𝐌𝐢𝐜𝐫𝐨𝐬𝐨𝐟𝐭 𝐒𝐨𝐥𝐮𝐭𝐢𝐨𝐧𝐬 𝐏𝐚𝐫𝐭𝐧𝐞𝐫, we help organisations understand how GitHub Enterprise and Azure DevOps complement each other — and configure both so your teams aren't duplicating effort or paying for overlap. What does your current CI/CD setup look like? Drop it in the comments — happy to share what we've seen work. 👇 #GitHub #GitHubCopilot #GitHubEnterprise #MicrosoftPartner #CopilotWithCloudalytix #DevOps #SoftwareDelivery #AIProductivity #Cloudalytix #CloudDevelopment #SDLC #Clouddians #AItoIdeas #AIValue #CICD #SoftwareDelivery #EnterpriseIT Jayabharathi P Mahmudullah Baig Rajpradeep Manoharan Ashiz Ahamed Syed Jalal S Nithish kumar N Janakiram V GitHub GitHub Enterprise Microsoft Microsoft Azure Microsoft AI Microsoft Fabric Microsoft AI Cloud Partner Program Microsoft Cloud
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𝗧𝗵𝗲 𝗡𝗮𝘁𝗶𝘃𝗲 𝗖𝗜/𝗖𝗗 𝗘𝗻𝗴𝗶𝗻𝗲 𝗳𝗼𝗿 𝗠𝗼𝗱𝗲𝗿𝗻 𝗗𝗲𝘃𝗢𝗽𝘀 If you're working with #GitHub repositories, there’s a powerful CI/CD tool already built into your workflow: #GitHub Actions. It allows teams to automate builds, testing, and deployments directly from their repository using simple YAML-based workflows. From small startups to large cloud-native teams, #GitHub Actions helps developers move from 𝗰𝗼𝗱𝗲 → 𝗯𝘂𝗶𝗹𝗱 → 𝘁𝗲𝘀𝘁 → 𝗱𝗲𝗽𝗹𝗼𝘆 faster and more efficiently. ⚡ 𝗞𝗲𝘆 𝗙𝗲𝗮𝘁𝘂𝗿𝗲𝘀 🔹 Event-driven workflows triggered by pushes, PRs, or schedules 🔹 Matrix jobs for testing across multiple OS and language versions 🔹 Built-in secrets management with OIDC authentication 🔹 Self-hosted runners on EC2, EKS, or private infrastructure 🔹 Docker layer caching for faster builds 🔹 Artifact storage for reports and build outputs 🔹 Native integrations with Slack, Jira, and cloud platforms 👨💻 𝗪𝗵𝗼 𝗦𝗵𝗼𝘂𝗹𝗱 𝗨𝘀𝗲 𝗚𝗶𝘁𝗛𝘂𝗯 𝗔𝗰𝘁𝗶𝗼𝗻𝘀 ✅ Teams already using GitHub repositories ✅ Startups building lightweight CI/CD pipelines ✅ Developers deploying to #AWS or GCP ✅ Projects using Docker, Kubernetes, or serverless apps ✅ Open-source teams needing simple automation ⚠️ 𝗪𝗵𝗼 𝗠𝗶𝗴𝗵𝘁 𝗣𝗿𝗲𝗳𝗲𝗿 𝗢𝘁𝗵𝗲𝗿 𝗧𝗼𝗼𝗹𝘀 ❌ Organizations requiring fully self-hosted CI/CD systems ❌ Teams using GitLab or Bitbucket repositories ❌ Enterprises needing heavy pipeline customization ❌ Legacy environments that rely on Jenkins plugin ecosystems 💡 𝗣𝗿𝗼 𝗧𝗶𝗽: Start with a simple workflow for Docker build + automated testing and gradually expand your pipeline. 📩 Have questions or want to know more? Feel free to message us directly or explore the link below for more information. https://lnkd.in/dNhbQp8i or https://lnkd.in/d5djfffq #Greycell #GreycellLabs #Github #DevOps
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GitHub Actions vs Azure DevOps - When should you use each? Many teams assume they do the same thing. They overlap, but the design philosophy is different. Here’s how I see it in real environments: GitHub Actions Best when your workflow is developer-centric. • CI/CD tightly integrated with GitHub repositories • Huge marketplace of reusable actions • Simple YAML workflows • Great for open source and cloud-native projects Typical use case: Startups or teams already using GitHub as their main development platform Azure DevOps Pipelines Built for enterprise-scale delivery. • Integrated boards, repos, artifacts, pipelines • Strong governance and approval workflows • Advanced release management • Deep integration with Microsoft enterprise ecosystems Typical use case: Large organizations needing structured pipelines, compliance, and centralized project management. The practical difference GitHub Actions optimizes for developer speed. Azure DevOps optimizes for enterprise control and process. Both can run complex pipelines. The real decision isn't the pipeline tool it's how your organization builds and releases software. Which one are you using today? #DevOps #InfrastructureAsCode #Azure #CloudEngineering
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🚀 Exploring GitHub Actions Self-Hosted Runners Today I experimented with self-hosted runners in GitHub Actions, and it was a great learning experience. Most people use GitHub-hosted runners like ubuntu-latest, but sometimes you need more control over the environment. That’s where self-hosted runners come in. 🔹 What is a Self-Hosted Runner? A self-hosted runner is a machine (VM, server, or container) that you manage, which executes your GitHub Actions workflows. 🔹 Why use it? • Full control over the environment • Install custom tools or dependencies • Access private networks or internal resources • Useful for secure enterprise pipelines 🔹 Simple Workflow Example jobs: build: runs-on: self-hosted steps: - uses: actions/checkout@v4 - name: Run script run: echo "Running on self-hosted runner" This job will run on your own server instead of GitHub’s infrastructure. 💡 Common Use Cases • Deploying to internal infrastructure • Running builds that require custom software Learning how to integrate self-hosted runners with CI/CD pipelines opens up many possibilities for advanced DevOps workflows. #DevOps #GitHubActions #CICD #Automation #Cloud
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Top 50 #GitHubActions Interview Questions (0–2 Years Experience) What is GitHub Actions? What are the key components of GitHub Actions? What is a workflow in GitHub Actions? What is the purpose of a YAML file in workflows? What is an event in GitHub Actions? What are some commonly used events in GitHub Actions? What is a job in a workflow? What is a step in GitHub Actions? What are runners in GitHub Actions? Difference between GitHub-hosted runners and self-hosted runners? How do you trigger a workflow manually? What is workflow_dispatch? What is push and pull_request trigger? What is the default branch behavior in workflows? How do you define environment variables in GitHub Actions? What are secrets in GitHub Actions? How do you securely store sensitive data? Difference between secrets and variables? What is the use of env keyword? What is defaults in a workflow? What is a matrix strategy in GitHub Actions? How do you run jobs in parallel? How do you make jobs dependent on each other? What is needs keyword? How do you cache dependencies in GitHub Actions? What is actions/cache? What is artifact in GitHub Actions? How do you upload and download artifacts? What is actions/upload-artifact? What is actions/download-artifact? How do you build a CI pipeline using GitHub Actions? How do you implement CD (Continuous Deployment)? What is the difference between CI and CD? How do you deploy applications using GitHub Actions? How do you integrate GitHub Actions with cloud platforms like Amazon Web Services? How do you authenticate with AWS in GitHub Actions? What is OIDC in GitHub Actions? How do you trigger workflows on tags? How do you restrict workflows to specific branches? What is environment protection in GitHub Actions? How do you debug a failed workflow? What are logs in GitHub Actions? How do you rerun failed jobs? What is continue-on-error? How do you create reusable workflows? What are composite actions? What is the difference between reusable workflows and composite actions? How do you schedule workflows? What is cron in GitHub Actions? How do you optimize workflow performance? #GitHubActions #DevOps #CICD #Automation #CloudComputing #AWS #DevOpsEngineer #SRE #TechInterview #Learning #CareerGrowth #LinkedInLearning #SoftwareEngineering #YAML #Cloud #InfrastructureAsCode
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𝐂𝐨𝐩𝐢𝐥𝐨𝐭 𝐨𝐫𝐠𝐚𝐧𝐢𝐳𝐚𝐭𝐢𝐨𝐧 𝐜𝐮𝐬𝐭𝐨𝐦 𝐢𝐧𝐬𝐭𝐫𝐮𝐜𝐭𝐢𝐨𝐧𝐬 𝐚𝐫𝐞 𝐠𝐞𝐧𝐞𝐫𝐚𝐥𝐥𝐲 𝐚𝐯𝐚𝐢𝐥𝐚𝐛𝐥𝐞 GitHub Copilot organization custom instructions allow administrators to set tailored guidance for their teams. This feature enhances the consistency and relevance of the AI suggestions across the organization. 💡 Act now to configure organization custom instructions to maximize the effectiveness of GitHub Copilot for your teams. This will facilitate better AI-driven collaboration. 👉 https://lnkd.in/ecZYnDHc GITHUB — GitHub · 🟡 MEDIUM #AWS #AmazonWebServices #CloudComputing #DevOps #CloudUpdates
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Centrilogic has earned the Agentic DevOps with Microsoft Azure and GitHub Specialization, validating its ability to help organizations establish secure, modern software development practices using DevOps principles - https://lnkd.in/dr4UaQJe “Achieving the Agentic DevOps with Microsoft Azure and GitHub Specialization reflects our continued investment in modern engineering practices and our commitment to helping customers build, deploy, and operate software securely and at scale. As organizations look to adopt agentic and AI-driven development models, DevOps discipline becomes even more critical.” – Doug Tracy, CEO of Centrilogic #AgenticDevOps #MicrosoftAzure #TechIntelPro
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GitHub Actions 2026: New Features That Save Developers Time CI/CD workflows should make development faster, not more complicated. GitHub Actions has introduced several new features in 2026 that help developers reduce workflow friction, improve debugging, and simplify automation. In this post, I cover practical updates like timezone-based scheduled workflows, non-zipped artifacts, improved debugging, custom runner images, OIDC improvements, and better manual workflow triggers — all focused on saving developer time and making CI/CD pipelines easier to maintain. If you use GitHub Actions for CI/CD, automation, or deployments, these updates are worth exploring. Read the full article: https://lnkd.in/dXjpnUJ6 #GitHub #GitHubActions #DevOps #CICD #SoftwareDevelopment #Automation #Cloud #Developers
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Thrilled to share CloudOpsHub — a production-grade DevOps platform our team built on GCP! My team and I designed and deployed a fully automated cloud infrastructure platform from scratch. Here's what we built: 🏗️ IaC (Terraform) — 5 modular Terraform configs provisioning 28 GCP resources per environment across dev, staging, and prod with a single terraform apply 🔐 Zero Static Keys — Workload Identity Federation for keyless, short-lived OIDC tokens. No JSON keys, no rotation headaches ⚙️ CI/CD (GitHub Actions) — ESLint + 5 parallel security scanners (Gitleaks, Trivy, tfsec, Snyk, SonarCloud) + Docker builds tagged by commit SHA + auto GitOps manifest updates 🔄 GitOps — Lightweight 80-line systemd agent polls Git every 60s and redeploys automatically. Code to live in under 5 minutes 📊 Observability — Prometheus + Grafana (3 dashboards) + Alertmanager routing alerts to Slack 🛡️ Security — Cloud Armor WAF, private subnets, IAP SSH, all secrets in Secret Manager 28 resources | 7 containers | 5 scanners | ~4 min deployments Big shoutout to my teammates 👏 Umaru Abdulrahman and Owofola Olakunle — couldn't have done this without you! 📌 Blog: https://lnkd.in/gynb3J_Q
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The Future of Software Development Isn't Writing Code — It's Directing It Every engineering leader knows the pain: Your codebase is growing, your team is growing, but velocity is... not. The Bottlenecks Holding You Back: 1. New engineers need 3-6 months before they're truly productive 2. Critical systems understood by only 2-3 people (who are drowning in questions) 3. Code reviews become the longest pole in every sprint GitHub Copilot Cloud Agent just rolled out three capabilities that directly attack these problems: GitHub Just Solved 3 of These: 1. Instant Institutional Knowledge Ask complex questions, get comprehensive answers instantly. "How does our payment processing work?" gets a full breakdown with code references in under a minute. 2. Plan Reviews Before Code Reviews Agent presents implementation approach → team approves → code gets written right the first time → fewer review cycles 3. Self-Service Iteration Developers work on branches without premature PRs → refine privately → submit when ready → higher quality, less review overhead The Scaling Impact: → Onboarding drops from weeks to days → Senior developers stop being bottlenecks → Code review queue becomes manageable → Tribal knowledge becomes team knowledge This isn't about replacing developers. It's about removing the friction that kills momentum as you scale. #FutureOfWork #DigitalTransformation #Innovation #Leadership #AI #SoftwareEngineering #CompetitiveAdvantage #GitHub #GitHubCopilot #CloudCodingAgent #Engineering #Developers
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GitHub Version Control System Expands Globally Amid DevOps and Cloud Surge 📌 GitHub’s version control system is expanding globally as DevOps and cloud adoption surge. Enterprises now rely on AI-enhanced, cloud-native VCS to manage complex codebases and accelerate delivery - from banking to healthcare. With regional growth hotspots in Asia-Pacific and fierce competition among Microsoft, AWS, and Atlassian, the future of software engineering hinges on smarter, automated versioning. 🔗 Read more: https://lnkd.in/d7ApzQyZ #Github #Devops #Cloudenvironment #Versioncontrol #Agiledevelopment
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Curious how GitHub Enterprise fits alongside your existing Azure DevOps setup? DM us — we've helped several teams work through exactly this.