Service-level thinking
What 'working' means for each critical path, expressed as something measurable, then monitored on that basis.
Information technology consulting
Reliability & security engineering
Observability that answers questions, alerts worth waking up for, pipelines that refuse bad builds, and secrets kept somewhere other than a chat thread.
The situation
You found out from a customer
Most reliability work we are asked for starts with the same sentence: a customer told us before our monitoring did. Usually there is monitoring. It is watching CPU on a virtual machine while the queue that actually matters silently backs up.
The security equivalent is an estate where nobody can answer, in one sitting, who has production access and which credentials are in the repository history. Both problems are legible and both are fixable without a large platform purchase.
Scope
What the work includes
Observability
Structured logs, traces and metrics through OpenTelemetry, so an incident starts with evidence instead of speculation.
Alerts with a job
Every alert names a symptom, a likely cause and an action. Anything that fires without a response gets deleted.
Pipeline gates
Automated checks, dependency and secret scanning, and a deployment that refuses a build failing them.
Secret and identity hygiene
A managed secret store, workload identities and identity groups: no long-lived credentials pasted between people.
Incident practice
A written runbook, a rehearsed rollback, and a blameless review template your team will actually complete.
Handover
What "monitored" looks like when we leave
Not a wall of graphs. Four numbers that answer whether the thing is working, an error budget you can spend deliberately, and a log you can read in an incident without learning a query language first.
Queue wait, p95
38 s
target under 60 s
Failed items
2
both retried and settled
Manual touches
11
down from 240 a week
Error budget left
78%
Spend it on a release, not on a surprise
Event log
- 07:41:02orchestration/nightly-invoicecompleted 1 284 items
- 07:38:55activity/exchange-rateretry 2 of 5: upstream 503
- 07:38:12deploy/apigate passed: 0 findings
- 07:31:40review-queue3 items waiting on a person
- 06:00:03backup/postgresverified restore, 41 s
tail -f
Illustrative panel, drawn to show the shape of the handover, not a client's data. Yours is built from your own service levels, in whichever tool your team already opens.
100%
Alerts with a documented response action
1
Rehearsed rollback before we call it done
0
Long-lived secrets left in source control
Deliverables
What you are left holding
Every engagement ends with artefacts you own outright, whether we continue together or not.
- Monitoring dashboards and alert rules
- Incident runbook and escalation path
- Hardened CI/CD pipeline
- Access review and remediation list
Typical stack
What we build it with
Chosen for support horizon and hiring pool, not novelty. If your team already runs something equivalent, we will use yours.
OpenTelemetrySecret managementSSO and least privilegeCI/CD gatesCloud security posture
Questions
What clients ask first
Is this a penetration test?
No. This is defensive engineering: configuration, identity, pipeline and monitoring. For an adversarial test against your systems you want a specialist firm with the right authorisation paperwork, and we will happily act on their report.
Can you promise an uptime figure?
Not as a marketing number. Availability is a property of your architecture, budget and dependencies, so we agree a target with you against a specific design and then measure honestly against it.
We have no monitoring at all. Where do we start?
With the one path that hurts most when it breaks: checkout, ingestion, login. Instrument that end to end, get one meaningful alert working, then widen. A dashboard covering everything shallowly helps nobody at 3 a.m.
Related
Usually needed alongside
Cloud architecture & migration
Cloud landing zones, identity, networking and migration, designed with a cost estimate attached, built from code, and…
See detailsWorkflow & process automation
The recurring manual work that consumes a week every month, rebuilt as durable jobs that log what they did, recover…
See detailsProduct engineering
Web applications, internal tools and APIs, built on the assumption that somebody else will maintain them one day,…
See detailsGet started
Is this the problem you have?
Describe it in three sentences and we will tell you what the first two weeks would look like.