Robust HavenHow we helped a growing company slash their Google Kubernetes Engine bill by implementing intelligent scale-to-zero and workload optimization.

Cloud costs were out of control with no clear path forward.
Monthly GKE costs kept climbing with no clear explanation or accountability.
Services running 24/7 even when traffic was near zero overnight and weekends.
Pods allocated far more CPU and memory than actually used, burning budget.
Leadership lacked dashboards to see where money was going or why.
Smart automation that cuts waste without sacrificing performance.
Workloads automatically scale down to zero replicas when idle, eliminating overnight waste.
EnvoyFilter intercepts requests to sleeping services and wakes them on-demand in milliseconds.
Resource requests and limits tuned to actual usage patterns, not worst-case guesses.
Clear dashboards showing spend by service, team, and environment with trend alerts.
Measurable impact delivered in weeks, not months.
Monthly GKE spend dropped from baseline
Zero service disruptions during optimization
Cold-start latency for scaled-to-zero services
Full cost attribution across all workloads
A proven process for sustainable cost optimization.
Mapped all workloads, analyzed actual resource usage vs. allocated, and identified optimization opportunities.
Deployed KEDA for event-driven autoscaling with scale-to-zero capability. Configured EnvoyFilter to intercept traffic and wake sleeping pods on-demand.
Adjusted CPU and memory requests/limits based on actual metrics, eliminating over-provisioning without risking stability.
Built cost dashboards for ongoing visibility and validated savings over multiple billing cycles.
Watch the scale-to-zero system respond to traffic.
Every infrastructure is different. Let's analyze your current setup and identify where you're leaving money on the table.