Your site reliability engineering partner.
SLOs, error budgets and an on-call rota with a runbook behind every alert. We take the pager, and we fix the failure modes that keep waking it.
- Your release cadence
- Your feature work
- Your engineers, not on the pager
- SLOs and error budgets
- On-call rota and escalation
- A runbook behind every alert
- Incident command and comms
- Blameless postmortems, fixes shipped
- Capacity and load planning
- Prometheus
- Grafana
- OpenTelemetry
- Kubernetes
Why hand us the pager.
Most teams do not want a reliability practice. They want the pager to stop ringing at 3am and their engineers back on the product. That is the job.
We carry it, not advise on it
This is a staffed rotation with escalation, not a document describing how you should staff one. The alert reaches us first.
Every alert has a runbook
An alert that cannot be acted on gets deleted, not muted. What is left pages a human because a human can do something about it.
Incidents end in shipped fixes
A postmortem that produces a ticket nobody picks up has not finished. Remediation is part of the engagement, not the next team's problem.
The SLO is a business number
Agreed with the people who sell the product, so an error budget conversation is about what to do next rather than about whose definition of uptime wins.
What we do.
Pick the one that matches what is blocking you. Most engagements start with a single line on this list.
SRE on retainer, including the pager
We carry the rota. SLOs, alerting, escalation and incident command sit with us, your engineers go back to the roadmap, and every incident ends in a fix we ship rather than a ticket somebody files. Staffed as a rotation, not one hero with a phone.
- We answer the pager, not your team
- Runbook behind every alert
- Incidents end in shipped fixes
- Rehearsed before it is needed
SLOs and error budgets
What "up" means, agreed with the people who sell the product rather than assumed by the people running it, with an error budget policy that says plainly what happens when it is spent.
Observability and alerting
Metrics, logs and traces wired through OpenTelemetry into something you can actually ask questions of, and an alert set cut down to the ones worth waking someone for.
Incident response and postmortems
Incident command, comms and a blameless postmortem that ends in remediation shipped, so an outage turns into a fixed failure mode instead of a repeat one.
Production readiness reviews
A service is checked against the same bar before it carries traffic: SLOs, alerts, runbook, rollback, capacity and dependencies, so launch day is not the first time anyone asks.
Capacity planning and load testing
A model of what your system does under real and projected load, tested rather than estimated, so growth is a planned spend instead of an outage.
Disaster recovery and restore testing
Backup and failover paths proven by actually restoring and actually failing over, on a schedule, with the recovery time written down and met.
Reliability work goes wrong when it is run as monitoring. Dashboards get built, alerts multiply, and the pager rings for things nobody can act on until the people carrying it stop reading it. The outage that matters then arrives inside the noise.
We start from the other end: what does "up" mean to the people who sell this product, what is the error budget, and what happens when it runs out. That gives an alert set small enough to take seriously, a runbook behind each one because an alert without an action is not worth sending, and a rota that is actually staffed rather than one senior engineer with their phone on.
Then we take it. The pager reaches us, we run incident command and comms, and the postmortem ends in remediation we ship, so the same failure does not come back next quarter with a different ticket number.
The clusters and pipelines underneath are cloud and infrastructure, and the paved road your teams deploy through is platform engineering. One team runs all three, which is why an incident here does not end in a handoff.
- SLOs agreed with the business, not invented by engineering
- Error budget policy that says what happens when it runs out
- On-call rotation, staffed and rehearsed, with escalation defined
- A runbook behind every alert that can page a human
- Alert set pruned to the ones that are actionable
- Incident response process, exercised at least once before it is needed
- Blameless postmortems with the remediation shipped, not just filed
- Capacity and load model, re-run each quarter
Your telemetry, read properly.
We instrument with open standards and keep the data where it already is. No agent you cannot remove, and no dashboard only we know how to read.
AWS
EKS and the managed data services around it, instrumented and inside an SLO rather than merely monitored.
Microsoft Azure
AKS with Azure-native telemetry feeding the same dashboards and the same rota as the rest of your estate.
Google Cloud
GKE and Cloud Run, with SLOs defined per service rather than one uptime number for everything.
Bare metal and colocation
Your own hardware carried on the same rota, including the failure modes a managed cloud normally hides from you.
Need help with site reliability engineering?
Thirty minutes with our experts, the people who would do the work. We tell you on that call whether we are the right fit.
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