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Food-tech marketplaceEKS platform engineeringDevtron adoption

Running Amazon EKS at startup scale with a one-person platform team.

Cookr connects FSSAI-registered home cooks with customers looking for an alternative to restaurant delivery. A single DevOps engineer owned the entire infrastructure, Jenkins buckled whenever builds ran in parallel, and developers could not deploy or debug without going through him. They adopted Devtron on EKS; we did the engineering around it, sized for a team of one.

Client
Cookr
Industry
Food-tech marketplace
Focus
EKS operations & CI/CD
Platform team
1 engineer

The challenge

Jenkins was never built for cloud-native delivery, and it showed: running several builds at once slowed all of them down and failed often, which made the release cycle unpredictable. Everything else that touched the cluster required Kubernetes knowledge the product developers did not have.

  • Concurrent builds increasing build times and causing frequent pipeline failures
  • Cluster access via IP whitelisting, jump servers, and kubectl, none of it familiar to product developers
  • Helm releases with no visibility into workload status or rollback configuration
  • Tool sprawl across several third-party tools, with constant context switching to configure and upgrade them

What we did

One engineer owning the platform set the constraint for the whole engagement: everything we built had to be operable by one person on a normal week. We replaced Jenkins with Devtron pipelines that build in parallel without contention, then put Helm lifecycle management behind a single view with version history and an obvious rollback. That alone took most of the unpredictability out of their release cycle.

“With a small team and limited resources, it has enabled us to effortlessly scale our Kubernetes operations… allowed us to focus on innovation instead of infrastructure, something that's crucial for startups like ours.”— Santosh Sivan, DevOps Engineer, Cookr

To get developers off the critical path we swapped jump-server access for SSO and RBAC, and brought EKS cluster inspection into a resource browser so they could read workload state, metrics, and logs themselves. The scattered third-party tooling folded into one place, which matters more than it sounds when one engineer maintains all of it.

The result

Build times fell by 70% and time-to-market by 60%, while DevOps productivity rose 40%. Developers deploy and troubleshoot on their own, so a single engineer can keep the platform running without becoming the bottleneck for every release.

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