Signal up. Noise down. MTTR down.
We replace alert-fatigue dashboards with monitoring engineers actually trust. OpenTelemetry-based telemetry, SLO-driven alerting, error budgets that feed reliability work, and AIOps where it reduces noise, with named owners for every signal that fires.
What's included
Observability strategy
What we instrument, what we don't, and how the three pillars (metrics, logs, traces) tie together. SLOs and error budgets that prioritize work, not just measure it.
OpenTelemetry instrumentation
Vendor-neutral telemetry collection across infrastructure and applications. Standard semantic conventions so dashboards survive a backend change.
Dashboards engineers trust
Service-oriented dashboards (RED / USE methods), with on-call views that surface what actually matters. We cull legacy dashboards as part of the engagement.
Alerting with owners
Severity matrix, named owners per alert class, and an explicit escalation path. Alerts that don't have an owner don't fire, they get fixed or deleted.
AIOps & anomaly detection
AIOps tooling for noise reduction, alert correlation, and pattern detection, applied where it earns its keep, not as a feature checkbox. We disclose what's automated.
On-call & incident response
PagerDuty / Opsgenie / Grafana OnCall integration, runbooks linked from alerts, and post-incident reviews that update the runbooks instead of blaming people.
What changes after the engagement
Alert volume drops, often by an order of magnitude
Tuning, deduplication, and AIOps-assisted correlation cut the firehose to actionable signal. On-call sleeps better; real incidents stay visible.
MTTR you can show on a chart
Detection-to-acknowledge and acknowledge-to-resolve times measured per service. Trends move down month over month, with the data to back it.
SLOs that drive engineering decisions
Error budgets become a real input to release cadence and reliability work, not a wall poster nobody reads.
Dashboards that survive a vendor swap
OpenTelemetry-based instrumentation means changing a backend (Datadog, Grafana, New Relic, Dynatrace) doesn't mean re-instrumenting.
What you receive on paper
Observability strategy document
Service catalog, SLI/SLO definitions per service, error budget policy, and instrumentation standards.
Alerting policy with severity matrix
Per-class severity, owner, runbook link, and escalation path. Auditable and version-controlled.
Dashboard catalog
Service dashboards, on-call views, executive views, with a documented deprecation list of what we removed and why.
Incident playbooks & comms templates
Standardized incident response, including stakeholder communication templates for major incidents.
Monthly operations report
Incident count, MTTR by service, top noisy alerts addressed, SLO compliance, and the next month's reliability work.
Common questions
Can you optimize our existing platform, or do we have to switch?
What does AIOps actually do here?
How do you measure improvement in MTTR?
Do you instrument applications, or just infrastructure?
Will SLOs and error budgets actually change anything?
Industries we lead with this service for
Industry-specific framing for the same engagement, different operational realities, different compliance expectations, same engineering principles.
Healthcare
HIPAA-aligned segmentation, EHR access controls, and medical-device networks that don't bring down imaging.
Manufacturing
OT/IT convergence, plant-floor networks, and security that doesn't stop the line.
Warehouse & Logistics
WMS uptime, dense wireless for handheld devices, and networks that hold up in industrial buildings.
Related Services
Explore adjacent capabilities that strengthen reliability, security, and operations.
Fix the alert firehose
Tell us how many alerts you got last week, how many were acted on, and where it hurt. We'll come back with a tuning plan and a measurable target.