What does failure look like to the customer?
Define it in terms the business cares about.
An independent site reliability engineering and observability practice for enterprises that have invested in tooling but are not yet seeing the reliability they paid for.
Observability spend has climbed steadily across the industry, but incident volume, time to diagnosis, and on-call fatigue have not fallen with it.
The gap is rarely the platform. It is more often objectives nobody acts on, alerts tuned for coverage rather than action, and telemetry collected because it was collectible rather than because a question needed answering.
Most monitoring environments were never so much designed as accumulated, one reasonable decision at a time.
Three questions come before any decision about what to instrument, what to alert on, or which platform to run it on:
Define it in terms the business cares about.
Instrument and collect only what answers that question.
Design the operating model that makes action inevitable.
Sometimes the answer is to use what is already in place. Sometimes it is to consolidate a dozen overlapping tools onto one platform. Either way, the decisions follow the questions rather than leading them.
From there, the work falls into four areas, usually in this order and rarely all in one engagement:
Where the practice stands today, scored and supported by evidence.
Service levels, error budgets, and alerting that are actionable by construction.
Dynatrace architecture, deployment, tuning, and migration from legacy platforms.
Runbooks, incident response, and enablement that ensure the practice outlasts the engagement.
The first conversation is simply about understanding what is happening, what you've already tried, and whether Principle Observability can help. No sales deck and no predetermined engagement.