
Autoscaling Best Practices: From Theory to Production
Hard-won lessons from running autoscaling in production—covering right-sizing, metrics selection, stabilization windows, observability, and common failure modes.

Hard-won lessons from running autoscaling in production—covering right-sizing, metrics selection, stabilization windows, observability, and common failure modes.

Rancher 2.7 enhances Kubernetes management with improved multi-cluster capabilities, enhanced UI, and better security features for enterprise deployments.

Cilium 1.12 enhances eBPF-powered networking with Gateway API support, improved performance, advanced security policies, and expanded Hubble observability capabilities.

Deep dive into Cluster API managed topologies for declarative cluster lifecycle management, ClusterClass composition patterns, and production practices for large-scale fleet management.

kpack 0.9.0 introduces minimum Kubernetes 1.22 requirement, retry logic for image fetch failures, improved dependency tracking, and enhanced build reliability features.

Kubernetes Gateway API v1beta1 reaches beta stability, marking a significant milestone toward production readiness with improved API design and broader implementation support.

Prometheus 2.37 introduces native histogram improvements, enhanced query performance, and better remote write capabilities for large-scale Kubernetes monitoring.

Grafana 9.0 introduces enhanced unified alerting, improved visualization features, better Kubernetes integration, and expanded data source support for comprehensive observability.

FluxCD 2.1 enhances security features, improves multi-tenancy capabilities, and delivers better GitOps workflows for managing Kubernetes fleets at scale.

Tetragon 0.1 introduces eBPF-based security observability and runtime enforcement for Kubernetes, providing real-time threat detection and policy enforcement.