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Meshlens (Sample)

See what your cluster costs, and what it is about to break

  • 4 min

    Median time to root cause

  • 100%

    Spend attributed

  • 0

    Agents per node

Kubernetes clusters fail expensively and quietly. Meshlens watches every workload, attributes cost to the team that caused it, and tells you which service is about to break before your customers do.

4 min

Median time to root cause

100%

Spend attributed to a team

0

Agents to install per node

How it works

Connect

Point Meshlens at your cluster’s metrics endpoint. It reads what is already there, so there is no agent to roll out and nothing to install on a node.

Map

Every workload is traced back to the namespace, the team and the pull request that introduced it, so cost and failure both have an owner.

Predict

Memory creep, noisy-neighbour contention and runaway retries are flagged while they are still trends rather than incidents.

Act

Recommendations arrive as pull requests against your manifests, not as a dashboard someone has to remember to open.

Without Meshlens

  • A cloud bill nobody can attribute
  • Incidents found by customers first
  • Dashboards read only after something breaks
  • Capacity guessed from last quarter

With Meshlens

  • Every pound traced to a team
  • Degradation flagged before impact
  • Fixes proposed as pull requests
  • Capacity modelled from real traffic

Who it is for

Platform engineering

Owns the cluster but not the workloads running on it. Meshlens gives them the evidence to go back to the team that caused the problem.

SRE and on-call

Wants the page to arrive before the customer does, with the failing service already named rather than a wall of graphs to read at 3am.

Engineering leadership

Needs the infrastructure line of the budget explained in terms of products and teams, not instance types.

CapabilityStandardEnterprise
Clusters monitored3Unlimited
Metric retention30 days13 months
Cost attributionNamespaceNamespace, team, pull request
Remediation pull requests—Included
SupportBusiness hours24/7, 15 minute response
Illustrative editions — replace with real ones.

Built on

Kubernetes · Prometheus · OpenTelemetry · ClickHouse · Go · React · AWS

Talk to our engineering team

Tell us what you are building and we will map the fastest route to it.

Request a Meshlens walkthrough