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software reliability depends on developer contribution

Unlock production knowledge for every developer, not just for the top 1%

Kerno helps every developer understand how their code behaves in complex distributed production systems so they can identify critical issues and resolve them independently.

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Here's is what we're about

When software breaks, you want the people with the best context trying to fix it

There is just one small problem. Your existing tools are built for systems experts and completely underserves developers. Regardless of what their marketing says.

Endless data, zero developer insight

Collecting everything is great if you're in Ops, a nightmare if you’re a developer. Buried in metrics, logs, and traces you’ll never need, you’re left sorting through mountains of noise to find what actually matters to ship code that works.

Developer experience? Try again

Cluttered UIs, and over complicated workflows with all the bells and whistles makes navigating these tools about as developer-friendly as a maze with no exits. Developers aren’t ProdOps experts, so why force them to play one?

Friction across the board

Instrumenting every piece of code, building and maintaining custom dashboards for days, juggle data pipelines, and shelling out cash for every bit of coverage. Sound like the way to ship fast, reliable software? Didn’t think so.

Meet Kerno

Built for engineering teams who ship fast and can't afford to slow down

Opinionated workflows

That do the heavy lifting to generate a localized context for developers, closing the production knowledge gap, and removing the cognitive overload.

Event-driven data processing

To cut through the noise, help teams focus only on what matters in stressful situations, and scale across their entire ecosystem without compromising on cost and coverage.

Codeless instrumentation

Leveraging kernel level integration, to eliminate the need for manual instrumentation, SDKs, and sidecars, reducing engineering overhead and resource strain

Setup in minutes, freeing up your engineering and ops teams

Get out-of-the-box correlated metrics, logs, spans, and change events down to the request level without the need for manual instrumentation, sidecars, custom dashboards, complex customizations, or any other hassle.

Integrate with your existing tools

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  # Install Kerno on your EKS cluster
  docker run \
  -e AWS_REGION=<region> \
  -e AWS_PROFILE = <aws-profile> \
  -e CLUSTER_NAME=<cluster-name> \
  -e K4_KEY=<k4-key> \ 
  -e K4_ID=<k4-id> \ 
  -v ~/.kube:/root/.kube \ 
  -v ~/.aws:/root/aws \
  public.ecr.aws/fyck.io/installer:main

Identify code vs. infra issues, their source, impact, and ownership

Kerno correlates issues with key change events and telemetry data across Cloud, Infrastructure, Applications, Git, and CI/CD so your team can quickly figure out whether an issue is code or infrastructure related, where it started, and its impact across your services so you can notify and align the relevant people.

Give developers code level insights for faster troubleshooting

Kerno gives developers and on-call engineers the context they need down to the broken line of code to quickly spot the root cause without manually sifting through uncorrelated logs and dashboards.

100% coverage that won't drain your team or bank account

Cut Data Costs by 90%

Kerno only collects data when issues arise, minimizing storage and transfer costs while still delivering the insights developers need without compromising on cost, detail, or scale.

No Maintenance, All Automation

With continuous instrumentation, zero-downtime upgrades, and no dashboard upkeep, free your DevOps and SRE teams to focus on real business value instead of observability chores.

Your Data, Your Control

Kerno runs in-cluster, keeping logs and traces with PII securely within your infrastructure. Sensitive data is obfuscated, letting developers work in real-time without sacrificing security.

Fair and predictable pricing without surprises

Say goodbye to complex pricing models, unexpected costs, and unpredictable volume-based pricing. Scale to every cluster and team without added cost.

$50 /mo

Per unique workload

We price per unique workload, ignoring replication and associated resources (like config maps or network services), short running jobs, and cross-cluster deployments.