Clear, owned outputs.
- An observability plan
- Instrumented services and collectors
- SLOs and alert rules
- Dashboards
- Runbooks and incident review templates
Monitoring tells you something is wrong; observability helps you understand why. We instrument your applications and infrastructure, define service-level objectives that reflect user experience, and set up alerts that wake people only when it matters — with dashboards and runbooks to resolve issues quickly.
The problems Cloud Monitoring solves.
Metrics, logs, traces, service-level objectives and alerts that matter.
Customers report outages before the team notices.
Alert noise means real problems are missed.
Logs are scattered across systems.
There's no agreed definition of 'working well'.
What Cloud Monitoring covers.
Instrumentation
Metrics, logs and traces from applications and infrastructure.
Service-level objectives
Targets for availability and latency tied to user experience.
Alerting
Actionable alerts with clear ownership and escalation.
Dashboards
Views for engineers, support and leadership.
Incident process
Runbooks, on-call practices and post-incident reviews.
Cost-aware telemetry
Retention and sampling that keep observability affordable.
Observability that answers why.
Monitoring tells you something is broken; observability helps you find out why. We set up both around what users actually experience.
- Metrics
- Request rate, errors and duration for every service, plus saturation of the resources behind them.
- Logs
- Structured, centralised and searchable, with retention set by need and cost.
- Traces
- Distributed tracing with OpenTelemetry to follow one request across services.
- SLOs
- Service level objectives for the journeys that matter, with error budgets that guide release decisions.
- Alerting
- Alerts on symptoms users feel, routed to the right on-call person, with runbooks attached — fewer, better alerts.
Why it's worth it.
Faster detection
Issues are found before they affect many users.
Faster resolution
Correlated data points to the cause quickly.
Calmer on-call
Fewer, better alerts reduce fatigue.
When Cloud Monitoring is the right move.
- A growing application with frequent unexplained incidents.
- Migrating from scattered tools to a unified observability stack.
- Defining SLOs for customer-facing services.
Technologies & platforms
- OpenTelemetry
- Prometheus
- Grafana
- Amazon CloudWatch
- Azure Monitor
- Google Cloud Monitoring
- Datadog
- PagerDuty
How Cloud Monitoring work runs.
- 01
Assess
Current state, risks, constraints and goals reviewed with your team.
- 02
Design
Target state, options and trade-offs written down and agreed.
- 03
Build
Changes delivered as code, peer-reviewed and tested.
- 04
Release
Changes rolled out safely with monitoring and rollback ready.
- 05
Hand over
Documentation, runbooks and knowledge transfer to your team.
Cloud Monitoring questions.
What's the difference between monitoring and observability?
Monitoring watches known signals and thresholds. Observability collects enough detail — metrics, logs and traces — to investigate problems you didn't anticipate.
Do we need an expensive commercial tool?
Not necessarily. Open-source stacks and cloud-native tools can cover a lot. We compare cost and capability for your situation.
Can you help us with on-call?
We help design on-call rotations, escalation policies and runbooks. Ongoing on-call cover can be discussed as a separate service.
Talk to us about cloud monitoring.
Describe the environment and what needs to change. We'll reply with the questions we would answer first and a sensible first step.