
Reduce K8s costs by up to 80%. Ensure workloads SLA. Free engineers from repeated manual configurations. ScaleOps is the industry-first Kubernetes Optimization Platform that automatically adjusts Compute Resources to changes in real-time, streamlining a new Kubernetes experience for engineering teams.
134 signals in the last 90 days.
The order this company entered each market — oldest to newest
Quick install. Fully self-hosted. Built for production.
Cut Kubernetes Cloud Costs Up to 80% Without Slowing Performance
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How ScaleOps's international expansion compares to its competitors
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Columns5| Company | Markets | New markets | Momentum | Activity | Expansion score |
|---|---|---|---|---|---|
ScaleOpsYou | 2 | 0 | +409% | 134 | 21 |
Director of Sales - APAC
View postingIndia · 3mo ago
Head of Global Account Management
View postingNew York, NY · 5mo ago
Product Manager- US
View postingNew York, NY · 3w ago
Manual rightsizing doesn't scale past 10 clusters. Yours has 100.
EndedAgentic AI doesn't just run on GPUs.NVIDIA put a $200B number on that and called Vera the first CPU built for agentic AI. AMD, Intel, and the analysts are landing in the same place: the agent loop - orchestration, tool calls, memory, state - lives on CPU and memory, not the accelerator.This is great progress towards agentic infrastructure. But it's only half of the story.The other half is software, and no chip solves it.Agents are bursty and memory-hungry. One lights up for a second, calls a too ...
EndedOne OOMKill is a workload problem. A hundred is a platform problem.
EndedScaleOps raised $130M in Series C funding to automate cloud infrastructure optimization, reducing costs and improving efficiency.
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