Kubernetes Ingress Mastery for DevOps Engineers

⚓ 𝐖𝐡𝐲 #𝐊𝐮𝐛𝐞𝐫𝐧𝐞𝐭𝐞𝐬 𝐢𝐬 𝐚 𝐠𝐚𝐦𝐞-𝐜𝐡𝐚𝐧𝐠𝐞𝐫 𝐟𝐨𝐫 𝐂𝐈/𝐂𝐃 𝐩𝐢𝐩𝐞𝐥𝐢𝐧𝐞𝐬 ◾ ◽◾ ◽◾ ◽◾ ◽◾ ◽◾ ◽◾ ◽◾ ◽◾ ◽◾ ◽ Traditional pipelines get the job done… but they often hit limits when it comes to scale, speed, and resilience. That’s where Kubernetes takes DevOps to the next level: ● Containerized builds – No more “works on my machine.” ● Automated rollouts – Blue-Green & Canary strategies made simple. ● Cluster-level environments – Staging, QA, and Prod, all consistent and scalable. ● Observability & reliability – Deploy, test, monitor, and maintain with confidence. 💡 With Kubernetes, CI/CD becomes more than a pipeline—it becomes a platform for innovation. ✔️ Faster feedback loops ✔️ Safer deployments ✔️ Empowered teams 🌍 If you’re looking to reduce friction and unleash the full potential of cloud-native delivery, Kubernetes is not just an option—it’s a necessity. ♻️ Share this with someone building CI/CD pipelines. 🔴 Follow me for more #Kubernetes & #DevOps 👉 https://lnkd.in/deugUkHT ◾ ◽◾ ◽◾ ◽◾ ◽◾ ◽◾ ◽ I 💚 Devops I ♥️ Kubernetes ◾ ◽◾ ◽◾ ◽◾ ◽◾ ◽◾ ◽◾ ◽◾ ◽◾ ◽◾ ◽◾ ◽ #DevOps #Kubernetes #CICD #Automation #CloudNative #ContinuousDelivery #Microservices #SRE

⚓ 𝐖𝐡𝐲 #𝐊𝐮𝐛𝐞𝐫𝐧𝐞𝐭𝐞𝐬 𝐢𝐬 𝐚 𝐠𝐚𝐦𝐞-𝐜𝐡𝐚𝐧𝐠𝐞𝐫 𝐟𝐨𝐫 𝐂𝐈/𝐂𝐃 𝐩𝐢𝐩𝐞𝐥𝐢𝐧𝐞𝐬 ◾ ◽◾ ◽◾ ◽◾ ◽◾ ◽◾ ◽◾ ◽◾ ◽◾ ◽◾ ◽ Traditional pipelines get the job done… but they often hit limits when it comes to scale, speed, and resilience. That’s where Kubernetes takes DevOps to the next level: ● Containerized builds – No more “works on my machine.” ● Automated rollouts – Blue-Green & Canary strategies made simple. ● Cluster-level environments – Staging, QA, and Prod, all consistent and scalable. ● Observability & reliability – Deploy, test, monitor, and maintain with confidence. 💡 With Kubernetes, CI/CD becomes more than a pipeline—it becomes a platform for innovation. ✔️ Faster feedback loops ✔️ Safer deployments ✔️ Empowered teams 🌍 If you’re looking to reduce friction and unleash the full potential of cloud-native delivery, Kubernetes is not just an option—it’s a necessity. ♻️ Share this with someone building CI/CD pipelines. 🔴 Follow me for more #Kubernetes & #DevOps ◾ ◽◾ ◽◾ ◽◾ ◽◾ ◽◾ ◽◾ ◽◾ ◽◾ ◽◾ ◽◾ ◽ I 💚 Devops I ♥️ Kubernetes ◾ ◽◾ ◽◾ ◽◾ ◽◾ ◽◾ ◽◾ ◽◾ ◽◾ ◽◾ ◽◾ ◽ #DevOps #Kubernetes #CICD #Automation #CloudNative #ContinuousDelivery #Microservices #SRE

⚙️ New Day, New Lesson — DevOps Isn’t About Tools, It’s About Mindset Everyone can run a docker build, but not everyone can design a pipeline that never fails. 💡 Today’s reminder: DevOps ≠ Jenkins, AWS, or Kubernetes. DevOps = Automation + Reliability + Continuous Improvement. Want to grow fast? 🔹 Break something (safely). 🔹 Fix it, automate it. 🔹 Then make it observable. Because real DevOps engineers don’t just deploy — they build systems that heal themselves. 💪 #DevOps #Automation #CloudEngineering #SRE #Infrastructure #LearningEveryday

🚀 Embracing DevOps: Where Automation Meets Innovation In today’s fast-paced engineering world, DevOps isn’t just a role — it’s a mindset. It’s about breaking silos between development, testing, and operations to achieve faster delivery, reliable deployments, and continuous feedback. Over the years, I’ve learned that successful DevOps transformation is not just about tools like Jenkins, Terraform, Kubernetes, or AWS — it’s about culture, collaboration, and ownership. Every pipeline we build, every monitoring alert we tune, and every automation script we write brings us one step closer to stable, scalable, and self-healing systems. Let’s keep driving efficiency, one commit and one deployment at a time 💪 #DevOps #Automation #CI_CD #CloudEngineering #InfrastructureAsCode #ContinuousTesting #Jenkins #Kubernetes #AWS #Terraform

🚀 Day 11 of My DevOps Journey 🚀 Today, I learned the core concepts of CI/CD pipelines — the backbone of DevOps automation! ⚙️ ✅ CI (Continuous Integration) – Developers frequently merge code changes into a shared repository, where it’s automatically tested and built. ✅ CD (Continuous Delivery/Deployment) – Automatically delivers tested code to production or staging environments. ✅ Pipeline Stages I Explored: Build → Compile and package code Test → Run automated tests Deploy → Push updates to servers or cloud environments ✅ Tools Used in CI/CD: GitHub Actions, Jenkins, GitLab CI, CircleCI, and Azure DevOps. ✨ Key Lesson: CI/CD ensures faster releases, fewer bugs, and smoother collaboration — it’s how modern DevOps teams deliver with confidence! 🚀 Excited for Day 12! 💻 #DevOps #CICD #GitHubActions #Automation #Learning #Day11 #90DaysOfDevOps #LearningInPublic #CareerGrowth

In today’s fast-paced tech landscape, DevOps isn’t just about processes—it’s about using the right tools to automate, monitor, and scale efficiently. From continuous integration to infrastructure automation, the right stack helps teams achieve reliability, speed, and cost optimization. 🔧 Here are some of the most essential DevOps tools every engineer should know: Docker 🐳 – Containerization for consistency across environments Kubernetes ☸️ – Orchestration for scalable applications Terraform ⚙️ – Infrastructure as Code for reproducibility Ansible 🛠️ – Automated configuration management Jenkins 🤖 – Continuous Integration & Delivery pipelines JFrog / Trivy 🔍 – Security and artifact management Prometheus & ELK 📊 – Monitoring and observability Each of these tools plays a critical role in building resilient, automated, and highly available systems. As DevOps engineers, our mission is to simplify complexity, eliminate repetitive tasks, and ensure systems run flawlessly at scale. 💡 Whether you’re just starting out or advancing in your DevOps journey, mastering these tools will give you the foundation to design modern, production-ready infrastructure. 👉 What’s your favorite DevOps tool, and why? Share your thoughts in the comments! #DevOps #AWS #Terraform #Kubernetes #Automation #CloudComputing #SiteReliabilityEngineering

Failure’s not fear in DevOps, it’s a five-minute routine before the fix and the next incident. #DevOpsHumor #SRELife #OnCall #InterviewHumor #EngineeringLife #TechCulture

Kubernetes lets you add your own APIs It has a powerful feature called the API Aggregation Layer. It helps you add custom APIs to your cluster. Meaning, you can create your own resource types and make Kubernetes do more than what it can do by default. A classic example of using the Aggregation Layer in Kubernetes is the implementation of the Metrics Server. Metrics server implements the Metrics API as an add-on API server using the Aggregation Layer This means that even though the Metrics Server is a separate service, its API can be accessed as if it were a native part of the Kubernetes API. Overall, here is how the request flow works. - When you run kubectl get pods, the request goes to /api/v1/pods and routed to Core API Server - When you run kubectl top pods, the request goes to /apis/metrics.k8s.io/v1beta1/ and routed to Metrics Server Prometheus Adapter also use this method to service custom metrics at /apis/custom.metrics.k8s.io/ 13,000+ DevOps engineers read our Devops newsletter 𝗝𝗼𝗶𝗻 𝗛𝗲𝗿𝗲 (𝗜𝘁𝘀 𝗳𝗿𝗲𝗲): https://lnkd.in/gZqQTHRy We send deep dives, practical tips, and guides straight to your inbox. #devops #kubernetes

🚀 DevOps isn’t just about 𝐛𝐮𝐢𝐥𝐝𝐢𝐧𝐠 𝐩𝐢𝐩𝐞𝐥𝐢𝐧𝐞𝐬 — it’s about making them 𝐟𝐚𝐬𝐭, 𝐫𝐞𝐥𝐢𝐚𝐛𝐥𝐞, 𝐚𝐧𝐝 𝐜𝐨𝐬𝐭-𝐞𝐟𝐟𝐞𝐜𝐭𝐢𝐯𝐞 👨💻 𝐖𝐡𝐚𝐭 𝐃𝐞𝐯𝐎𝐩𝐬 𝐬𝐤𝐢𝐥𝐥𝐬 𝐥𝐨𝐨𝐤 𝐥𝐢𝐤𝐞 📝 Writing a Jenkinsfile or GitHub Actions YAML 🔗 Integrating third-party tools ️ Setting up CI/CD pipelines 🚀 Performing deployments 🔔 Configuring webhooks …and similar tasks 🏁 𝐖𝐡𝐚𝐭 𝐃𝐞𝐯𝐎𝐩𝐬 𝐞𝐱𝐩𝐞𝐫𝐭𝐢𝐬𝐞 𝐥𝐨𝐨𝐤𝐬 𝐥𝐢𝐤𝐞 ✅ Hitting a 𝟗𝟗.𝟗𝟗% deployment success rate ⚡ Making CI/CD run 𝟐× 𝐟𝐚𝐬𝐭𝐞𝐫 📦 Cutting Docker image size by 𝟒𝟎% ⏱️ Bringing build time down to 𝐮𝐧𝐝𝐞𝐫 𝟐 𝐦𝐢𝐧𝐮𝐭𝐞𝐬 🔄 Reducing rollback time by 𝟕𝟎% …and other measurable wins 📊 𝐓𝐡𝐞 𝐣𝐨𝐛, 𝐢𝐧 𝐫𝐞𝐚𝐥𝐢𝐭𝐲 🔨 𝟐𝟎% → building things ⚙️ 𝟖𝟎% → improving, tuning, and optimizing There are 𝐩𝐥𝐞𝐧𝐭𝐲 of people who can build. The 𝐡𝐢𝐠𝐡 𝐯𝐚𝐥𝐮𝐞 (and 𝐡𝐢𝐠𝐡𝐞𝐫 𝐩𝐚𝐲) comes from the optimization side. Think about it. 💬 Where do you spend most of your time today — building or optimizing? What’s one metric you’ve improved recently? #DevOps #CICD #SRE #Automation #Cloud

Zero-Downtime Deployment in Kubernetes: Best Practices Ever seen a YAML so long it scares new DevOps engineers? I turned my complex zero-downtime deployment into 5 tiny Kubernetes tools each focused, readable, and production-ready. One command, no downtime. #Kubernetes #DevOps #ZeroDowntime #K8s #Kustomize #YAML #CloudNative