Identify problems before customers report them
Metrics, checks, and alerts monitor your systems around the clock. If something goes wrong, you know it first – not your users.
LEAN Stability: Monitoring and Incident Management
Your system goes down and the team hears about it from the customer. We build monitoring, alerting, and incident management that identify problems before they escalate. Structured runbooks, clear playbooks, planned deployments.
For teams that learn about outages from customers instead of dashboards. For systems without structured alerting. For IT departments that spend more time firefighting than on development.
Your benefit:
Metrics, checks, and alerts monitor your systems around the clock. If something goes wrong, you know it first – not your users.
Clear runbooks and playbooks for the most common scenarios. Who does what, in what order, with what escalation. No more improvisation.
Post-incident reviews, documented root causes, actions that are actually implemented. Every incident makes your system more stable instead of just older.
Monitoring gives you the confidence to roll out changes. If a metric drops after deployment, you see it immediately – and can rollback before it escalates.
Deliver first, then commit. That's what the pilot is for.
6-10 weeks
Which systems and services are business-critical? Which metrics are missing? What does the current incident process look like?
Platform selection, metric design, alert strategy
Deliverables
including integration with an existing system/service
of up to 10 metrics/checks and up to 5 alert rules
of a notification channel
for a defined test environment
No. Selection and setup are part of the pilot. If you already have Datadog, Grafana, or similar in use, we will build on that. If not, we recommend the appropriate tool for your context.
Monitoring tells you that something is going wrong. Incident management tells you what to do next. Together, they ensure that problems are quickly identified and structured solutions are found – instead of ending in chaos.
By only creating alerts that require action. No info alerts, no 'nice to know' notifications. Each alert has a clear threshold, an owner, and ideally a runbook. In the proof, we measure the signal-to-noise ratio.
Depends on the stack. Grafana + Prometheus is open source and free (self-hosting). Datadog and PagerDuty are SaaS with usage-based pricing. We recommend based on your infrastructure and budget.
Validation at every interface, error handling with retry logic, dead-letter queues for unprocessable records, and logging for every flow. In the pilot, we demonstrate this with 3 concrete use cases.
Start as a timeboxed pilot in T&M (optionally with a cap). No fixed price risk, no lock-in. You see at any time what you are paying for – and can stop at any time. But very few do.
If you still have questions, just contact us