✅ DevOps Day 2 – DevOps Lifecycle Key Stages 🔄💻 🔹 DevOps Lifecycle Overview: DevOps is not a one-time process — it's a continuous cycle with key stages that repeat throughout the development journey. 🔄 Stages of the DevOps Lifecycle: 1️⃣ Plan – Define requirements, roadmap, sprint planning 2️⃣ Develop – Write, review, and version code (e.g. Git) 3️⃣ Build – Compile code, resolve dependencies (e.g. Maven, Gradle) 4️⃣ Test – Automated unit, integration, and performance testing 5️⃣ Release – Prepare and approve production deployment 6️⃣ Deploy – Push to production using CI/CD tools 7️⃣ Operate – Monitor system health and infrastructure 8️⃣ Monitor – Track logs, metrics, and user feedback 🔧 Common DevOps Tools by Stage: • Plan – Jira, Confluence • Develop – Git, GitHub, GitLab • Build/Test – Jenkins, CircleCI, Selenium, JUnit • Deploy – Docker, Kubernetes, Ansible, Terraform • Operate/Monitor – Prometheus, Grafana, ELK Stack, Datadog 📌 Tip: DevOps is about flow. Every stage must connect smoothly to the next. 🎯 Mini Task: • List one tool used in each DevOps stage you’re familiar with • Reflect: Which stage is most relevant to your current work? 💬 Tap ❤️ for Day 3 #DevOps #CloudComputing #AWS #Terraform #Ansible #Docker #GitHub #Jenkins #CICD #InfrastructureAsCode #Automation #CloudEngineer #SRE #PlatformEngineering #CloudNative #DevSecOps #CareerInTech #TechCommunity #Innovation #EngineeringExcellence #C2C #SRE #CloudEngineering #APM #Containerization #Integration #JOBS #US
DevOps Lifecycle Stages: Plan, Develop, Build, Test, Release, Deploy, Operate, Monitor
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✅ DevOps Day 1 – What is DevOps? ⚙️🚀 🔹 Definition: DevOps is a set of practices and tools that brings together development (Dev) and operations (Ops) to shorten the software development life cycle and deliver high-quality software continuously. 🔹 Goal: • Faster, more reliable releases • Collaboration between Dev and Ops • Continuous integration, testing, and deployment 🔹 DevOps Pillars: 1. Culture – Shared responsibility, transparency 2. Automation – Build, test, deploy, monitor 3. Lean thinking – Remove waste, improve flow 4. Measurement – Track performance and errors 5. Sharing – Encourage knowledge flow 🔹 Benefits: • Faster time to market • Better product quality • Lower failure rate on deployments • Quick recovery from failures 🔹 DevOps vs Traditional IT: | Aspect | Traditional | DevOps | |----------------|-------------|----------------| | Delivery Style | Siloed | Collaborative | | Releases | Infrequent | Continuous | | Feedback | Delayed | Immediate | | Automation | Minimal | Extensive | 🧠 Task for You: • Read about SDLC (Software Development Life Cycle) • List 3 benefits DevOps brings to your field or role 💬 Double Tap ♥️ For Day 2 #DevOps #CloudComputing #AWS #Terraform #Ansible #Docker #GitHub #Jenkins #CICD #InfrastructureAsCode #Automation #CloudEngineer #SRE #PlatformEngineering #CloudNative #DevSecOps #CareerInTech #TechCommunity #Innovation #EngineeringExcellence #C2C #SRE #CloudEngineering #APM #Containerization #Integration #JOBS #US #MLOPS
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🚀 DevOps: The Backbone of Modern Software Development In today’s fast-paced tech world, speed and reliability aren’t optional—they’re expected. That’s where DevOps comes in. 💡 DevOps is not just a tool or a role. It’s a culture that bridges the gap between development and operations. 🔧 What makes DevOps powerful? ✔️ Faster deployments ✔️ Continuous Integration & Continuous Delivery (CI/CD) ✔️ Improved collaboration between teams ✔️ Reduced failures and quicker recovery ✔️ Automation at every step 📈 Companies adopting DevOps are not just building software… They are building scalable, resilient, and high-performing systems. 🌱 If you're in tech, learning DevOps is no longer optional—it's a game changer. Start small: 👉 Learn Git 👉 Understand CI/CD pipelines 👉 Explore tools like Docker & Kubernetes 👉 Practice automation 🔥 Because in the end, it’s not just about writing code… It’s about delivering value—faster and better. #DevOps #SoftwareDevelopment #TechCareers #Automation #CloudComputing #Learning #Growth
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--Learn DevOps with Me-- 🔹 What is DevOps? DevOps = Development + Operations It is a culture that helps teams build, test, and deploy software faster and reliably. 🔹 DevOps Principles Collaboration Developers and operations teams work together with good communication. Automation Use tools (CI/CD pipelines) to automate testing and deployment, reducing human error. Continuous Improvement Regularly improve code, processes, and system performance. Monitoring & Feedback Track system performance using tools like Grafana and improve based on feedback. 🔹 DevOps Benefits Faster Deployment Better Quality Scalability Cost Reduction Higher Reliability #LearningDevOps #LearningCloud #DevOps #Technique
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DevOps isn't just a buzzword; it's a fundamental shift in how we build and deploy software. It begins with seamless collaboration from day one, where developers and operations teams work hand-in-hand. Think of it as a relay race – everyone owns the code, and the entire team carries the baton together until the customer is happy. This integration relies on continuous delivery: merging code frequently, triggering automated tests with every commit to catch bugs early, and automating deployments. Manual steps and lengthy release windows become relics of the past. Automation is key, eliminating human error and freeing us to tackle more complex challenges. Finally, robust monitoring and feedback loops are crucial. Production is your ultimate testing ground; continuously measuring and iterating ensures we're always improving. What are your thoughts on fostering this collaborative, automated approach in your teams? #DevOps #SoftwareDevelopment #CI/CD #TechLeadership #CloudComputing #Agile
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🚀 End-to-End DevOps + SRE Workflow Explained Ever wondered how modern applications go from idea → production → reliable service? Here’s a simple breakdown of the DevOps + SRE lifecycle 👇 🔹 1. Plan & Code 📝 Everything starts with requirements and development ✔️ Tools: Jira, GitHub ✔️ Focus: Collaboration, version control, clean code 🔹 2. Build 🔧 Code is compiled and packaged ✔️ Tools: Jenkins, Maven, Gradle ✔️ Output: Build artifacts 🔹 3. Test 🧪 Ensure quality before release ✔️ Unit Testing, Integration Testing, API Testing ✔️ Tools: JUnit, Selenium, Postman 🔹 4. Release 🚀 CI/CD pipeline automates the process ✔️ Build → Test → Scan → Package → Approve ✔️ Tools: Jenkins, GitLab CI, Azure DevOps 🔹 5. Deploy ☁️ Application is deployed to cloud/servers ✔️ Infrastructure as Code: Terraform ✔️ Containers: Docker ✔️ Orchestration: Kubernetes 🔹 6. Operate (SRE) ⚙️ Now SRE takes ownership of reliability ✔️ Manage production systems ✔️ Handle scaling, uptime, availability 🔹 7. Monitor & Improve 📊 Continuous monitoring and feedback loop ✔️ Tools: Prometheus, Grafana, ELK Stack ✔️ Logging, alerting, incident response 🔹 SRE Core Practices 🔥 📌 SLI, SLO, SLA 📌 Error Budgets (balance speed vs reliability) 📌 Incident Management & Postmortems 📌 Performance & Capacity Planning 💡 Key Takeaway 👉 DevOps = Build & Deliver Fast 👉 SRE = Keep Systems Reliable & Scalable Together, they ensure faster releases + stable production systems 🚀 #DevOps #SRE #CloudComputing #Kubernetes #CI_CD #SiteReliabilityEngineering #Automation #TechCareers
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🚀 DevOps Workflow Explained (From Code to Production) Ever wondered what actually happens after you write code? In DevOps, there’s a clear flow that takes code from your laptop to production systems 👇 💻 1. Code Developers write code and push it to a repository. 🔁 2. Build CI tools automatically: • Compile code • Run tests • Create build artifacts 🧪 3. Test Automated testing ensures: • Code quality • No breaking changes • Stability before deployment 🚀 4. Deploy Code is deployed using CI/CD pipelines: • To staging environment • Then to production 📊 5. Monitor After deployment, systems are monitored: • Logs • Metrics • Alerts 🔄 6. Feedback Loop Issues are identified → fixed → redeployed This cycle continues continuously. 💡 Key Insight DevOps is not a one-time process — it’s a continuous loop of improvement. #DevOps #CI_CD #CloudEngineer #Automation #SRE #SoftwareDevelopment #CloudComputing
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🚀 DevOps maturity is not built by watching tutorials. It is built by solving production-like problems. I’ve been reviewing an Advanced DevOps Assignment Book with 50 real-world scenarios, and one thing stands out clearly: This is not beginner DevOps. This is production-thinking DevOps. What makes it powerful is the range of real challenges it covers: • Multi-environment Terraform architecture • Highly available AWS web tiers • Secure VPC design • Blue/Green and Canary deployments • GitHub Actions CI/CD • Kubernetes self-healing, scaling, RBAC, ingress, and network policies • Centralized logging and monitoring • Vault integration and secrets management • Drift detection • Disaster recovery simulation • GitOps with ArgoCD • DevSecOps scanning • Multi-region deployment • Chaos engineering • End-to-end production-grade architecture One thing I really liked: The final note says these assignments represent: • real production problems • senior-level thinking • automation mindset • security-first architecture • scalability design • high availability planning That is exactly the point. Because real DevOps is not just: • Docker, • Kubernetes, • Terraform, • CI/CD. Real DevOps is being able to design systems that are: secure, scalable, observable, resilient, and recoverable. The uncomfortable truth? A lot of people want “DevOps jobs” but only study tools. The stronger engineers study scenarios. Because tools tell you what exists. Scenarios teach you how to think under real constraints. 👇 Don’t just like comment: What do you think is the most valuable DevOps skill today? A) Infrastructure as Code B) Kubernetes operations C) CI/CD design D) Monitoring / Observability E) Security / DevSecOps F) Disaster Recovery / Resilience #DevOps #Kubernetes #Terraform #CICD #GitOps #ArgoCD #DevSecOps #CloudEngineering #InfrastructureAsCode #Observability #SRE #AWS #PlatformEngineering #Automation #ChaosEngineering #Monitoring #Logging #SecurityFirst #Scalability #HighAvailability
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🚀 Automating CI/CD Pipelines with Webhooks, Poll SCM & Build Periodically As a DevOps Engineer, automation is not just a goal — it’s a necessity. Tools like Jenkins provide multiple ways to trigger pipelines efficiently, and three commonly used methods are: 🔹 1. Webhooks (Event-Based Triggering) Webhooks enable real-time automation. Whenever a change happens in your repository (like a code push), it instantly triggers the pipeline. ✅ No delay ✅ Faster feedback loop ✅ Ideal for modern CI/CD workflows 👉 Example: GitHub webhook triggers Jenkins job immediately after a commit. 🔹 2. Poll SCM (Polling Mechanism) Poll SCM checks the repository at regular intervals to detect changes. 🕒 Works on a schedule ⚠️ Slight delay compared to webhooks ⚠️ Consumes resources due to continuous checking 👉 Useful when webhooks are not feasible due to network/security restrictions. 🔹 3. Build Periodically (Scheduled Jobs) This option triggers jobs at fixed times regardless of code changes. 📅 Useful for: Nightly builds Scheduled testing Maintenance tasks 🧠 Understanding CRON Syntax CRON format used in Jenkins: * * * * * | | | | | | | | | └── Day of Week (0-7) | | | └──── Month (1-12) | | └────── Day of Month (1-31) | └──────── Hour (0-23) └────────── Minute (0-59) 👉 Example: */5 * * * * This means the job runs every 5 minutes. 💡 How This Helps in Day-to-Day DevOps ✔️ Reduces manual intervention ✔️ Ensures faster deployments ✔️ Improves consistency & reliability ✔️ Enables continuous feedback and quick bug fixes ✔️ Saves time for engineers to focus on innovation 🔥 Final Thought Choosing the right trigger mechanism (Webhook vs Poll SCM vs Scheduled builds) depends on your use case. But mastering these can significantly boost your CI/CD efficiency. #DevOps #Jenkins #CICD #Automation #Webhooks #Cloud #SoftwareEngineering #ContinuousIntegration #ContinuousDelivery #KiranSaiDevOps
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DevOps isn’t just a buzzword anymore… it’s the engine behind modern software delivery ⚙️ From planning to monitoring, the DevOps lifecycle is a continuous loop of innovation and improvement: 🔹 Plan → Code → Build → Test → Integrate 🔹 Deploy → Operate → Monitor This cycle isn’t linear… it’s a feedback-driven system designed for speed, stability, and scalability. What makes DevOps powerful? 💡 Continuous Integration & Continuous Delivery (CI/CD) 💡 Infrastructure as Code (IaC) for consistent environments 💡 Automation across testing, deployment, and monitoring 💡 Strong collaboration between development & operations 💡 Faster recovery, higher deployment frequency, and fewer failures Modern organizations are not just building software… they are building systems that evolve continuously. Tools like Git, Jenkins, Docker, Ansible, and AWS are not just tools anymore… they are the building blocks of scalable, resilient architectures. In a world where speed matters, DevOps is what turns ideas into production-ready reality ⚡ #DevOps #CICD #Automation #Cloud #AWS #Docker #Jenkins #Git #Ansible #InfrastructureAsCode #SoftwareEngineering #Tech #ContinuousIntegration #ContinuousDelivery #SRE #CloudComputing
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Platform Engineering vs DevOps for Automation Platform engineering and DevOps both automate delivery, but differ in scope: DevOps changes team workflows; platform engineering builds a productized internal… 📅 Coverage period: Apr 12 - Apr 12, 2026 Read the full analysis 👇 #TechNews #TechnologyTrends #DeveloperToolsAndSoftwareEngineering #DevOps #SoftwareDevelopment #Programming https://lnkd.in/gqYg-AjK
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