See everything. Act on what matters.
Modern observability designed around how your teams actually work. Built by a team with direct experience maintaining 99.99% uptime across mission-critical platforms in regulated industries — OpenTelemetry-first, unified metrics + logs + traces, SLO-driven alerting, and on-call workflows that don't burn people out.
- OpenTelemetry-first
- Unified metrics + logs + traces
- SLO-driven alerting
- Cost-controlled at scale
- Vendor-flexible backends
- On-call workflows that work
The capabilities you get with us.
Observability isn't a product you buy — it's a practice you build. We bring the platform, the patterns, and the operating discipline.
Current-state assessment
Tool sprawl audit, signal coverage gaps, alert quality metrics, and an honest read on what your team uses vs. what you're paying for.
OpenTelemetry instrumentation
Auto and manual instrumentation across services and runtimes — with collector topology designed to keep data quality high and egress costs low.
Unified backend
Best-fit metrics, logs, and traces backends — open source (Grafana, Prometheus, Loki, Tempo, Mimir) or vendor (Datadog, New Relic, Honeycomb), or hybrid where it makes economic sense.
Dashboards & SLOs
Service-aligned dashboards engineers actually use, plus SLOs and error budgets so reliability conversations are about numbers, not vibes.
Alerting & routing
Symptom-based alerts with low noise floors, escalation policies, runbooks linked from the page, and tuning loops to keep signal-to-noise high.
On-call & incident management
On-call rotation design, incident command training, postmortem culture, and integration with your collaboration stack (Slack, Teams, ServiceNow, Jira).
What we're typically asked to solve.
Replace fragmented tooling
Six different monitoring tools, four contracts, no consistent view. We consolidate to a coherent stack — keep what's working, cut what isn't, and lower total spend in the process.
Tame metric and log cost explosion
Cardinality is up and to the right and so is your bill. We profile signal usage, kill what nobody queries, and re-architect ingestion to drop costs 40–70% without losing visibility.
Find performance bottlenecks fast
Customers complain, you can't see why. We deploy distributed tracing properly, link traces to logs and metrics, and build the dashboards that make latency tail problems obvious.
Audit and compliance logging
Regulatory or customer requirements for tamper-evident audit trails. We build retention, access controls, and exportable evidence trails that hold up to auditor scrutiny.
A clear, repeatable engagement model.
No black boxes. Every engagement starts with discovery, runs through a defined plan, and ends with operating ownership clearly assigned.
Audit
Inventory tools, signals, and alerts. Score signal coverage and alert quality. Quantify cost. Identify the highest-ROI fixes.
Design
Reference architecture for collection, transport, storage, and query — sized to your scale and budget, with backends chosen on merit.
Implement
Roll out OpenTelemetry, deploy backends, migrate dashboards, define SLOs, and tune alerting in waves with engineering teams.
Operate
Run the platform day-to-day, coach teams on incident response, and keep cost/quality dialed via regular review.
- Do we have to standardize on OpenTelemetry?
- Not strictly — we work with vendor SDKs where they make sense — but OpenTelemetry-first is our default because it preserves your portability. If your backend changes, your instrumentation doesn't.
- Open source or vendor backend — which is right?
- Depends on scale, team capacity, and what you're optimizing for. We've stood up Grafana stacks and we've stood up Datadog and Honeycomb deployments. We'll show you the TCO over a 3-year horizon and let the numbers drive the call.
- How do you reduce observability cost without reducing visibility?
- Signal triage (kill unused metrics/logs), sampling strategies for traces, tiered retention (hot/warm/cold), aggregation at the collector, and cardinality limits with engineer-visible alerts so cardinality creep is caught at write-time.
- Can you integrate with our existing incident tooling?
- Yes — PagerDuty, Opsgenie, ServiceNow, Jira, Slack, Teams, and most chatops setups. We treat the alerting and incident layer as a product, not an afterthought.
- Do you train our team or just run it for us?
- Both options are on the table. Most engagements include enablement so your team owns the platform; some include managed operations where we hold the pager. We'll match the model to your appetite.
Ready to talk specifics?
Tell us about your workload, your timeline, and what's in your way. We'll come back with a plan, not a sales deck.
Start the conversation