cloud-native-design

Implementing 12-Factor App principles for microservices on Kubernetes involves applying actionable guidance for stateless design, config handling, and dependency management. This provides polyglot code examples for Rust, Java, Python, and Go to ensure production-ready stateless processes.

Preventing config drift and enabling autoscaling for cloud-native services requires immutable deployments and GitOps workflows. This provides production-tested patterns for ArgoCD, Knative autoscaling, and Kubernetes resource management to eliminate downtime during releases.

Adding health endpoints and graceful shutdown handling to an order processing service uses ready-to-use cloud-native patterns. This provides bulkhead isolation, sidecar containers, and disposability guidelines to ensure services scale horizontally via HPA without dropping active requests.

Yes, this cloud-native architecture guidance supports polyglot stacks including Rust, Java, Python, and Go. It provides concrete code examples for dependency management and config handling across these languages to meet 12-Factor App implementation requirements.

Common cloud-native anti-patterns that cause costly production outages include poor container security, improper disposability, and stateful process design. This provides a curated list of these anti-patterns with fixes to harden Kubernetes deployments and prevent failure under load.

Reviewing an existing Kubernetes deployment manifest against cloud-native best practices involves identifying gaps in 12-Factor principles and container security hardening. This provides actionable guidance to ensure stateless design, immutable deployments, and built-in observability for cloud-hosted applications.