Kubernetes Services: Exposing, Discovery, and Load Balancing

Today was one of those “hands-on DevOps” days, the kind that remind you why real learning happens when things break. I booted up my Kubernetes cluster only to find that everything had gone sideways, my node IPs had changed and the entire setup was out of sync. Instead of starting over, I dug in: • Identified which interfaces my nodes were actually using • Re-aligned kubelet and the control plane with the right internal IPs • Brought all nodes back to Ready state, clean and stable No GUI, no panic, just SSH, kubeadm, containerd, and calm troubleshooting. It’s a small win, but these are the reps that build confidence. Next up: getting my Kubernetes clusters communicating properly across nodes. In DevOps, the goal isn’t a perfect setup, it’s the ability to recover fast, learn, and keep improving. #DevOps #Kubernetes #CloudEngineering #LearningInPublic

Everyone wants to use Kubernetes, but most early setups don’t need that kind of weight. For startups and in some cases mature systems, I believe, simplicity and security are everything. The goal isn’t to look advanced, it’s to build systems that run smooth, scale smart, and stay secure.

People spin up K8s when a simple Lambda would do. It's cool, but not always the answer. Serverless comes with its own style — light, fast, and no headache.

The biggest DevOps mistake? Using Kubernetes when you don’t have to. Not every system needs clusters, nodes, and pods. Some just need a function that runs and scales quietly. Kubernetes is powerful but it comes with its own weight: configs, control planes, complexity and of course cost. Lambda and other similar serverless tools exist for a reason, simplicity. Complex infra doesn't make you advanced, simplicity and efficiency does. Devops is about when to use the right tool and knowing when not to over complex it. 🔁 If you find this useful, Consider a REPOST Full Credit Vembarasan Thambidurai #devops #kubernetes #sre

The biggest DevOps mistake? Using Kubernetes when you don’t have to. Not every system needs clusters, nodes, and pods. Some just need a function that runs and scales quietly. Kubernetes is powerful but it comes with its own weight: configs, control planes, complexity and of course cost. Lambda and other similar serverless tools exist for a reason, simplicity. Complex infra doesn't make you advanced, simplicity and efficiency does. Devops is about when to use the right tool and knowing when not to over complex it. 🔁 If you find this useful, Consider a REPOST #devops #kubernetes #sre

This really nails it. DevOps isn’t about stacking up complexity for the sake of it—it’s about efficiency, smart choices, and agility. Kubernetes is powerful, but sometimes it's just massive overkill compared to the elegance of serverless functions for lightweight scaling. Great engineering is knowing when to keep things simple and let the infrastructure work quietly in the background. Let’s embrace thoughtful DevOps, where simplicity equals true advancement. #devops #serverless #cloud

Kubernetes is good and cost efficient when enabled with autoscaling for various API backend apps that can start quickly(don't have tons of data to preload) and are generally stateless and require the resources asap but sometimes a little lag(for some services) is also ok - so here Lambda comes in and its definitely more cost efficient then Kubernetes(and yes in can be incorporated through API Gateways into real apps) Also having Kubernetes manage for instance boxes that work with GPU's for AI computing is definetly and overhead an will likely cause trouble as using separate instances for such apps is better and more stable Same goes with DBs - and the case where you need to have a CI/CD pipeline to deploy a lot , its a must to use orchestrators like Ansible or Chef Thus a hybrind infra is generally more optimal - its just that its important to understand how such an Architecture will look including its costs

Kubernetes Tip 💡 When swap is enabled in Kubernetes, Whether a pod can use swap depends on its QoS class. Guaranteed pods and BestEffort pods cannot use swap. Only burstable pods are allowed to use swap. Because these pods have a request but no limit. They can use swap when the system runs low on real memory. This gives them extra space without breaking any strict memory limits or affecting other pods. ---- We share tips like these and deep dives in our DevOps newsletter. Read by 15,000+ DevOps engineers worldwide. 👉 𝗝𝗼𝗶𝗻 𝗵𝗲𝗿𝗲 (𝗳𝗿𝗲𝗲): https://lnkd.in/gVsFSKwM #devops #kubernetes

This week’s DevOps Bulletin includes one of my favorite sections: the FinOps tip. Kubernetes clusters often burn 30 to 50 percent of compute because requests do not match real usage. The tip explains simple steps to fix that with tools like VPA, Goldilocks, and Kubecost. The rest of the issue covers the biggest stories in DevOps plus new tools such as CronMaster, ctop, Wave, Gerbil, and Kratos.

Containers Changed the Game — Docker Made It Simple In today’s software world, consistency is everything. From development to production, we’ve all faced the “it works on my machine” problem. Docker changed that forever. By packaging applications and their dependencies into lightweight containers, Docker made it possible to build once and run anywhere — with speed, reliability, and minimal friction. What stands out to me most isn’t just the technology, but the shift in mindset it created: Infrastructure as code became the norm Dev and Ops finally started speaking the same language Scalability and portability stopped being buzzwords and became everyday practice As cloud-native architectures continue to evolve, Docker remains at the heart of modern DevOps,not just a tool, but a foundation for agility and collaboration. #Docker #DevOps #CloudComputing #Containers #Technology #Innovation