Services for systems, processes, AI and talent
Choose the main problem. Scope comes next, with real context.
Observability and reliability
We organise instrumentation, platforms, SLOs, alerts, dashboards, traces and runbooks so observability helps operations.
There are signals, but not enough context to decide quickly or control cost and noise.
- Coverage and noise diagnosis
- OpenTelemetry or existing-stack architecture
- Actionable alerts, dashboards and runbooks
- Team transfer
Process automation
We map AS-IS / TO-BE and build progressive automations with rules, APIs, n8n, AI or custom development.
Email, documents, Excel, forms, tickets, approvals and reports consume hours and create errors.
- AS-IS / TO-BE map
- Limited measurable PoC
- Integrations with least privilege
- Human-in-the-loop and audit
AI for operations and business
We design assistants, classifiers, document extraction, summaries, report generation and decision support with controls.
There are AI use cases, but no clear way to separate demo, PoC and responsible automation.
- Use-case selection by value and risk
- Data and permission guardrails
- Quality and utility evaluation
- Scale or discard plan
Specialist search for projects
We help define roles, seniority, responsibilities and technical criteria to find or bring in the right people for the stack, scope and delivery model.
The project needs specific profiles that are not available internally or should not be handled as generic recruitment.
- Profile and responsibility definition
- Technical filtering of specialists and collaborators
- Onboarding model for the team, partner or project
- Technical continuity and context transfer
Governmetry and telemetry governance
We assess whether the problem fits Governmetry: an OpenTelemetry-native layer to govern context, metrics, traces, cost and data exposure.
Technical telemetry does not answer business questions, and enriching it service by service does not scale.
- Early-access fit assessment
- Scoped Java HTTP/Kafka case if appropriate
- Design-partner success criteria
- Clear separation between POC and production-ready
Specific services
Pages focused on concrete needs: audit, OpenTelemetry, SLOs, cost, automation, AI and talent.
- Observability that changes decisions, not only screens Observability consulting services to reduce noise, improve coverage, organize SLOs and turn metrics, logs and traces into operational decisions.
- Observability audit based on evidence, not opinions Observability audit to detect blind spots, operational noise, unnecessary cost and ownership gaps in critical platforms.
- OpenTelemetry as a common layer, not a mass migration OpenTelemetry implementation consulting for instrumentation, collectors, pipelines, traces, metrics and cardinality governance without forced migrations.
- On-call with criteria: SLOs, alerts and runbooks teams use Design of SLOs, actionable alerts and operational runbooks to reduce noise, clarify ownership and improve incident response.
- Observability cost under control without turning the lights off Observability cost optimization through cardinality governance, retention, sampling and real usage of metrics, logs and traces.
- Process automation starts by understanding real work Business process automation with APIs, documents, email, Excel, tickets, validations, reporting and human oversight.
- n8n for useful, maintainable and governed workflows n8n automation, APIs and internal workflows to connect systems, documents, approvals, reporting and human oversight with traceability.
- Applied AI where value, data and control are strong enough Applied AI for companies with use-case selection, guardrails, evaluation, permissions, safe data and human oversight.
- Finding the right technical profile is part of the project Support to define, source and validate technical profiles in observability, OpenTelemetry, SRE, platform, automation and applied AI.
Define the first scope
We review the problem, stack and risk before proposing a solution or pilot.
Define a scope