Technology
Kubernetes
Performance engineering for container orchestration — resource limits, autoscaling, and cluster-level bottlenecks.
Right-sized workloads
Stable autoscaling behavior
Fewer noisy-neighbor incidents
Capabilities
How we use Kubernetes
Practical patterns validated under load — not tool demos.
Resource profiling
CPU/memory requests and limits tuned from measured usage under representative load.
HPA/VPA validation
Test scaling policies against traffic ramps so pods appear before latency spikes.
Control plane awareness
Identify etcd, DNS, and CNI limits that show up only at cluster scale.