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We design and operate Kubernetes clusters that handle millions of requests per second with sub-100ms p99 latency, auto-scaling, and zero-downtime rollouts.
Scale pod replicas based on CPU, memory, or custom metrics (Kafka lag, RPS). Sub-60s reaction time.
Automatically right-size pod resource requests and limits based on historical usage patterns.
Add/remove nodes when pods are unschedulable or nodes are underutilized — integrates with AWS ASG, GCE MIG.
Scale to zero and back based on external events: SQS queue depth, Kafka topics, cron schedules.
Next-gen node autoscaling with multi-instance type selection, spot instance optimization, and fast provisioning.
Distribute workloads across clusters for geo-redundancy, isolation, and blast radius reduction.