AI boosts developer speed but destabilizes platforms. With deployments surging, failures, drift, and costs spiral. Smarter systems that understand context—not just execute scripts—are essential for stability in an AI-first world.
Platform engineers spend 60% of their week firefighting instead of building. After talking to dozens of teams, I found three reasons why: tool sprawl creates maintenance overhead, developer support becomes a bottleneck, and platform knowledge gets trapped in people's heads.
TL;DR: Discover how Devtron integrates with KEDA to enable seamless, event-driven autoscaling in Kubernetes. Learn to install and configure KEDA through Devtron’s low-code interface, use metrics like Kafka, Prometheus, and ALB, and optimize resources for performance and cost efficiency.
TL;DR: The blog talks about how ephemeral environments with Devtron become much easier, reducing the complexities, automating the process, and optimizing infra cost.
TL;DR: CMD and ENTRYPOINT are core Dockerfile instructions that control how containers start. This blog breaks down their differences, best practices, and real-world examples to help you use them effectively.
TL;DR In the dynamic world of cloud-native, Kubernetes stands as an undisputed leader in the space of container orchestration. This article explores how to secure your Kubernetes environment using Single Sign-On (SSO) and Resource-Based Access Control (RBAC).
TL;DR: Amazon EKS Auto Mode automates Kubernetes cluster management, optimizing computing, storage & networking while reducing operational overhead. Paired with Devtron's CI/CD pipelines, it streamlines deployment and enhances developer productivity.
TLDR: EKS clusters can run out of IPs, causing deployment issues. This blog shows how to reserve minimum IPs using environment variables in the aws-node daemonset to prevent this problem.
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