SRE · Observability · Dynatrace

Reliability
You Can See

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.

Abstract observability signals resolving from complexity into clear golden outputs

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.

From first principles rather than inherited defaults.

Three questions come before any decision about what to instrument, what to alert on, or which platform to run it on:

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What does failure look like to the customer?

Define it in terms the business cares about.

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What signal would reveal it?

Instrument and collect only what answers that question.

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What would we do once we knew?

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:

Diagnose

Where the practice stands today, scored and supported by evidence.

Design

Service levels, error budgets, and alerting that are actionable by construction.

Implement

Dynatrace architecture, deployment, tuning, and migration from legacy platforms.

Operationalize

Runbooks, incident response, and enablement that ensure the practice outlasts the engagement.

Platform depth, applied in the right order.

  • A Dynatrace-centered practice with working depth across OneAgent, Smartscape, Grail and DQL, Davis AI, OpenPipeline, AutomationEngine, SLIs, SLOs, Error Budgets, and Site Reliability Guardian.
  • The distinction that matters is not product knowledge. It is knowing which capabilities to switch on, in what order, for an organization at a particular stage of maturity, and which to leave off until the practice is ready for them.
  • Turning capabilities on out of order is how a strong platform produces weak outcomes.

Principal-level, directly delivered.

Every hour is principal-level, delivered directly. No delivery pyramid, no ramp-up billed to the client, no handoffs.
  • Former Vice President of Site Reliability Engineering at a large financial organization, leading SRE in a regulated environment handling PII at scale.
  • Nine active technical certifications - three current Dynatrace certifications, plus Splunk, Cribl, BigPanda, AWS, and Azure.
  • Led the architecture and build of an enterprise Dynatrace platform from the ground up for a major healthcare enterprise, with PHI and PII safeguards designed into the telemetry.
  • SAFe 6 certified Product Owner; led the Agile team delivering observability across a large enterprise's consumer-facing web applications.
  • Thirty years of IT reliability experience and twenty-eight years of engineering leadership.

If your observability investment isn't producing the reliability it should, start with why.

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.