DevOps service

Monitoring, Observability & Performance

Complete visibility into your systems, so problems surface before your users find them.

Technologies & tools
Signals collected once, then used to watch and to alertMetrics, logs and traces are collected from the running system into one place. From there they drive dashboards built for both business and technical readers, and alerting that escalates on its own so a problem surfaces before a user reports it. The same history answers capacity planning, and load testing is run against it to find the ceiling before production does.SignalsMetricsLogsTracesCollectionOne place, one historyDashboardsBusiness and technicalAlertingEscalates without being askedCapacity planningFrom observed trendsLoad testing finds theceiling before production doesThe point is that a problem surfaces before a user reports it
Signals collected once, then used both to look and to be told. A dashboard nobody is watching does not surface anything.

Most monitoring tells you that something is wrong. Good observability tells you why, at three in the morning, to someone who did not build the system.

The difference is whether you can ask questions you did not anticipate.

What we do

  • Instrumentation that answers real questions. Traces, metrics and logs correlated, instead of three tools telling separate stories.
  • Alerts people trust. Tuned so a page means action is required. An alert everyone ignores is worse than no alert.
  • Load testing. Finding the throttling, the connection limits and the contention that only appear under sustained pressure, before production finds them for you.
  • Dashboards for both audiences. Technical detail for engineers, and the two or three numbers the business cares about.
  • Capacity planning. Grounded in observed usage patterns, not guesswork.

Who this suits

High-traffic applications where performance is a commercial concern, media organisations processing large video and audio workloads, and any system whose uptime is written into a contract.

What you end up with

You can diagnose an unfamiliar problem quickly, and you get enough forewarning that most of them never become incidents at all.

Next step

Talk to us about monitoring, observability & performance.

Send over the shape of the problem. Current stack, what is painful, what good looks like. We will tell you honestly whether this is the right engagement.