05 · Production Insight
Observability & Instrumentation
Know what your BEAM system is doing, and why, before customers or on-call engineers have to tell you.
Result
Signals your team can act on
/ / How we work
Clear from first conversation to handover.
You always know what's happening, why it matters, and what comes next.
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M / 01
Instrumentation audit
We review your current logging, metrics, and tracing setup and identify the gaps that actually matter for your workload.
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M / 02
Build
We add Telemetry handlers, OpenTelemetry exporters, and structured logging across your codebase, and verify the data is reaching your backend cleanly.
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M / 03
Dashboards & alerts
We build the dashboards and alerting rules, test them against real traffic, and document them so your team can maintain and extend them.
/ / A good fit?
Built for teams at an inflection point.
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01
Teams flying blind in production: no dashboards, no alerting, log-based debugging only
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02
Engineering leads who want to reduce mean time to recovery and improve on-call quality of life
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03
Teams that want instrumentation provisioned as code, like the rest of their infrastructure, for awareness and environment integrity
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04
Teams who have metrics but whose dashboards are unused because the signal-to-noise ratio is too low
/ / What's included
No mystery.
Just the work.
We shape every engagement around your context, but these are the foundations you can expect.
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|> Telemetry instrumentation audit: what you have and what's missing01
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|> OpenTelemetry setup: tracing, metrics, and log correlation02
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|> Structured logging with request IDs, user IDs, and business-domain context03
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|> BEAM VM metrics: process counts, scheduler utilisation, GC, memory by type04
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|> Dashboards: per-service latency, error rates, queue depths, VM health05
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|> Alerting rules tuned to your traffic patterns with on-call runbooks06