360° observability: from blind incidents to measurable MTTR
Monitoring tells you something broke. Observability tells you why. How to move from scattered alerts to operations that detect, understand and resolve incidents with data.
Many organizations have monitoring, yet still learn about incidents from a customer or the business side. The symptom is familiar: hours spent pulling several teams together to understand what happened, with no shared view of a transaction's path. That's operational blindness, and in regulated industries it's also a compliance risk.
Monitoring isn't observability
Monitoring answers questions you already knew to ask: is the service up? Is CPU above 80%? Observability lets you answer new questions without shipping extra code: why are only one channel's payments failing? At which step does this transaction lose time?
Three signals and an open standard
- Metrics: aggregated trends that are cheap to store.
- Logs: the detail of each event, ideally structured.
- Traces: the full path of a request across services, queues and databases.
We recommend instrumenting with OpenTelemetry, the CNCF's open standard. It lets you change analysis tools without re-instrumenting applications and avoids vendor lock-in.
Start with the golden signals
SRE practice proposes four signals for every service: latency, traffic, errors and saturation. If you can only measure four things, measure those. They'll quickly tell you whether users are hurting, and where.
Define SLOs and error budgets
A service level objective turns user experience into a number: for example, 99.9% of payments respond in under 800 ms over a 30-day window. What's left below that target is the error budget: while it lasts, the team can prioritize features; once it's spent, priority shifts to stability.
Alert on user-facing symptoms (the SLO at risk), not on every possible cause. Fewer, more relevant alerts, each with a runbook attached.
Don't leave batch and legacy behind
In retail and financial services, much of the critical operation is still batch: inventory matching, reconciliations, nightly loads. Propagate correlation IDs through files and queues too, measure the duration and volume of each stage, and alert when a processing window is at risk, before it's missed.
Measure what improves
Two indicators show whether the investment works: mean time to detect (MTTD) and mean time to resolve (MTTR). Track them from day one and review them in every postmortem.
A 90-day roadmap
- Days 1–30: OpenTelemetry instrumentation for the two or three most critical flows, and golden-signal dashboards.
- Days 31–60: SLOs per flow, symptom-based alerts and runbooks.
- Days 61–90: end-to-end traces including batch processes, and monthly MTTD and MTTR tracking.
The result is an operation that finds out before the customer does, and resolves incidents with data instead of guesswork.