Instrumentation and telemetry pipelines
Define consistent metrics, logs and traces across applications and infrastructure.
Control collection, enrichment and routing so telemetry remains useful as volume and system complexity grow.
MONITORING & OBSERVABILITY
Create reliable telemetry pipelines and monitoring architecture across metrics, logs and traces so teams can understand incidents, scale confidently and act on the signals that matter.
Collecting more data does not automatically create visibility. XIVTech designs observability systems around the questions engineering teams need to answer, then connects instrumentation, storage, dashboards and alerting into a maintainable production capability.
OBSERVABILITY CAPABILITIES
Build the full observability stack or strengthen the part creating the most risk today.
Design end-to-end telemetry, monitoring and incident-visibility architecture.
Implement scalable metrics collection, querying, recording rules and alerting.
Add high availability, global querying and long-term storage to Prometheus environments.
Build useful dashboards and operational views for teams and stakeholders.
Operate horizontally scalable, multi-tenant long-term metrics infrastructure.
Standardize application and infrastructure telemetry across metrics, logs and traces.
FROM SIGNAL TO RESPONSE
Define consistent metrics, logs and traces across applications and infrastructure.
Control collection, enrichment and routing so telemetry remains useful as volume and system complexity grow.
Design retention, high availability and query paths around operational needs and cost constraints.
Use Prometheus-compatible and open telemetry ecosystems without locking visibility into one deployment model.
Translate system behavior into dashboards and service-level signals teams can use.
Reduce noisy alerts and improve the path from detection through diagnosis and response.
HOW WE WORK
Identify critical services, failure modes, telemetry gaps and incident workflows.
Define instrumentation, pipelines, storage, dashboards and alerting patterns.
Deploy and integrate the stack while validating data quality and scale.
Establish ownership, runbooks, capacity planning and continuous improvement.