WorkshopVirtualPast event

Hands-on workshop: finding the money in your Kubernetes clusters

Three hours, hands-on, on a real cluster: attribute spend to namespaces, right-size from observed usage without causing OOMKills, and find the resources nobody owns.

Details
  • 24 September 2026 · 15:00–18:00 UTC
  • Online
  • 2 speakers
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About

What this event covers

This workshop works through Kubernetes cost from first principles: why the scheduler allocates on requests rather than usage, why a cluster can be 25% utilised and completely unschedulable, and how to distribute node cost across namespaces in a way that gives idle capacity an owner.

Participants work on a provided cluster with realistic over-provisioning, so the exercises produce genuine findings rather than contrived ones.

The second half covers right-sizing without causing incidents: choosing percentiles, leaving headroom on memory limits, and the genuinely contested question of whether to set CPU limits at all.

Short answer

What is Hands-on workshop: finding the money in your Kubernetes clusters?

Three hours, hands-on, on a real cluster: attribute spend to namespaces, right-size from observed usage without causing OOMKills, and find the resources nobody owns.

Topics
Kubernetes costFinOpsRight-sizingCapacity planning
Agenda

What happens, and when

15:00
Requests, limits and what you actually pay for

Why usage graphs mislead and allocation is what determines the bill.

15:30
Exercise: attribute a cluster bill

Distribute node cost across namespaces including the unallocated remainder.

16:15
Right-sizing without OOMKills

Choosing percentiles, memory headroom, and the CPU limit debate.

17:00
Exercise: find the orphans

Unattached volumes, idle load balancers, stale snapshots and their running cost.

17:40
Q&A and take-home checklist

Open questions plus a checklist to run against your own clusters.

Speakers

Who is talking

Harshit Sengar

Founder and platform lead

DevOpsArk

DevOpsArk Engineering

Platform engineering team

DevOpsArk

Audience

Who should attend

  • Platform engineers responsible for cluster capacity
  • FinOps practitioners working with Kubernetes for the first time
  • SREs asked to reduce infrastructure spend without reducing reliability
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