Observability consulting for quieter operations

We help technical teams detect blind spots, reduce useless alerts and turn telemetry into operational decisions.

Approach

From dashboards to operational decisions

Useful observability is not measured by the number of dashboards. It is measured by how quickly a team understands what is happening, which service is affected and which decision to make.

At Dot and Key we work with technical leadership, platform, SRE and operations teams to organize metrics, logs and traces around concrete questions: user impact, business risk, probable cause, ingestion cost and ownership.

We start from your existing stack, whether it is OpenTelemetry, Elastic, Dynatrace, Grafana, Prometheus or a legacy mix. The goal is not to change tools for the sake of it, but to build a maintainable signal model your team can operate.

Consulting services

Modular engagements to move from accumulated telemetry to actionable observability: assessment, design, implementation and operational enablement.

Observability assessment

A clear view of visibility, noise, cost and risk before investing more in tools.

  • Signal, alert and ownership inventory
  • Blind spot and ingestion cost map
  • 30/60/90 roadmap with quick wins

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Methodology

Four iterative phases with clear deliverables: diagnosis, signal model, validated implementation and continuous improvement of noise, cost and ownership.

  1. Discover

    Understand architecture, goals, and pain points.

  2. Design

    Signal model, SLIs/SLOs, and ingestion architecture.

  3. Implement

    Instrumentation, dashboards, production validation.

  4. Optimize

    Cardinality, cost, alert noise, team maturity.

Technologies

Open standards and enterprise platforms, avoiding unnecessary lock-in and prioritizing interoperability, cost and maintainability.

Technology stack

OpenTelemetry

Open standard for metrics, logs, and traces in polyglot and Kubernetes environments.

Elastic Stack

Elasticsearch, Kibana, ingest pipelines, and Elastic Agent for logs and analysis.

Dynatrace

APM, infrastructure, logs, and automated analysis for enterprise environments.

Grafana / Prometheus

Cloud-native metrics and alerting ecosystem.

Typical contexts

Microservices and containers, legacy integrations, distributed teams, regulated environments and platforms with rising telemetry costs.

Common sectors: insurance, transport, digital services and enterprise platforms where reliability, traceability and cost reach leadership conversations. References available under NDA.

Professional collaborations

Experience on projects alongside leading consultancies and integrators, bringing specialized observability, platform and operations judgement.

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Frequently asked questions

How is observability different from classic monitoring?

Classic monitoring often focuses on infrastructure and static thresholds. Observability correlates metrics, logs and traces to understand user impact and prioritise by symptoms, not resources alone.

Do you work with a particular stack?

No. We are not tied to one tool. We start from your current stack, contracts and maturity, and propose what is most maintainable for your context.

How long does an initial assessment take?

It depends on platform size and agreed scope. A focused assessment is typically completed in a few weeks, with an executive report and prioritised improvement plan.

Can you help with SLOs and alert noise reduction?

Yes. We review SLIs/SLOs, alert profiles and operational noise to align notifications with real business impact.

How do you address ingestion cost and cardinality?

We treat volume, retention, sampling and cardinality as architecture decisions from the design phase, not afterthoughts.

Do you work remotely?

Yes. Projects are mainly remote with European timezone alignment. On-site when required.

What is the difference between «Observability with AI» and «AI observability»?

AI observability is consulting to instrument and monitor applications with models (Python, OpenTelemetry, OpenLLMetry). Observability with AI is our own agent in development to prioritize and analyze signal on your stack; today we offer PoC and an exploratory conversation.

Let's discuss your signals, not only your tools

An initial conversation to review context, blind spots, alerts, ingestion cost and real observability priorities.

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