Your Kubernetes cluster may run smoothly, but hidden inefficiencies can increase cloud costs. Learn how over-provisioned workloads, oversized non-production environments, forgotten infrastructure, and inefficient autoscaling create waste and how platform teams can eliminate it.
Kubernetes
When GPUs enter your Kubernetes cluster, you’re no longer just running apps; you’re running an AI platform. Most teams aren’t ready for the scheduling, governance, and cost challenges that follow.
Traditional approaches using disparate monitoring, deployment, and security tools create dangerous blind spots. Unified platforms transform this chaos into predictable operations by consolidating upgrade compatibility checks, API deprecation scanning, and workload analysis into cohesive workflows.
Platform engineers spend 60% of their time on incident response, hunting through disconnected dashboards. Devtron consolidates Kubernetes operations into one unified view—showing what broke, why it happened, and how to fix it. No more context switching. Just faster resolutions and less firefighting.
Getting Kubernetes running wasn't the problem. One infrastructure lead put it bluntly: "We spent six months migrating. We've spent two years learning how to actually run the damn thing with stability in production." That's Day-2. And it's where most organizations actually live.
TL;DR: The author talks about how to deploy the MERN Stack application on Kubernetes with the easiest possible way with just few clicks, abstracting all K8s complexities using Devtron.
Automate SSL certificates in Kubernetes using Let’s Encrypt, cert-manager, and Devtron. Enable free SSL automation, seamless renewals, and secure HTTPS for your apps with zero manual effort.
TL;DR: Canary strategy is a gradual rollout of new software version to a small subset of users for real-user traffic testing before rolling out to a broader audience.
Take your operations to the next level
Get started with Devtron, the perfect Kubernetes platform for your team
Get Devtron Demo Get a demo