Case Study: Solidus Labs reduces Kubernetes resilience issues by 90% with PerfectScale by DoiT

Solidus Labs reduces Kubernetes resilience issues by 90% with PerfectScale

Solidus Labs, a crypto market integrity platform, faced significant challenges managing its rapidly growing Kubernetes environment on Amazon EKS. With constant application updates and unpredictable load patterns, the company experienced recurring CPU throttling and out-of-memory (OOM) issues. Despite manual efforts to tune resources, these problems persisted, leading to SLA breaches and inefficient resource allocation across their dozen multi-regional clusters.

The company deployed PerfectScale by DoiT to automate the right-scaling of pod resources. The solution from PerfectScale continuously analyzed workloads and provided precise, evidence-based recommendations, which were delivered directly to service owners. This implementation led to a dramatic reduction in resilience issues, cutting CPU throttling and OOM events by over 90%. The results included a drastically reduced mean-time-to-resolution, significant identified cost savings that were reinvested into under-resourced clusters, and the elimination of time-consuming manual work, achieving a stable and cost-effective environment with PerfectScale.

Solidus Labs