Kubernetes & delivery
Building a Production Kubernetes Platform
Representative engineering work
Engineering the networking, storage, identity, delivery, observability, and operations around the cluster.
Context
A representative platform-engineering scenario for teams moving from machine-specific deployment steps toward a repeatable Kubernetes production model.
Challenge
Running containers was only one part of the problem. Workloads also depended on networking, ingress, certificates, secrets, storage, identity, delivery, observability, recovery, and cluster lifecycle decisions.
Engineering Approach
Design the operating platform around application requirements instead of treating cluster installation as the outcome.
Architecture / Technical Decisions
Use declarative workload definitions, controlled configuration and secrets, explicit ingress and storage boundaries, health-aware releases, and observable platform services so changes can be reviewed and reproduced.
Continue through the system
View all workReliability engineering
Diagnosing a Cross-Layer Production Problem
Investigating intermittent failures across application, data, platform, network, storage, and infrastructure boundaries.
Software Modernization
Modernizing Legacy .NET Without a Big-Bang Rewrite
Moving .NET Framework applications toward modern .NET while preserving working business behavior and production continuity.