Services
Four areas, each done to a production standard.
Observability, alerting, disaster recovery and cloud infrastructure, for teams running real systems on AWS or Azure. AI does the digging; we review and approve every change.
Observability & OpenTelemetry
- OpenTelemetry collectors and pipelines, so you are not locked into one vendor
- PII and PHI masked before anything reaches your APM or observability tool
- Dashboards your team actually opens
- Telemetry volume and cost brought under control
Alerting & on-call
- Alerts tied to what users feel, not every blip
- Duplicate and noisy alerts folded together
- A runbook beside every page
- An on-call rotation people can live with
Disaster recovery & resilience
- Recovery plans that are tested, not just written
- Replication across regions or across clouds
- Restore drills on a schedule
- Recovery time measured, not guessed
Cloud infrastructure & migrations
- AWS and Azure, built as code with Terraform
- Migrations that keep the old setup live until the new one proves itself
- Kubernetes and container platforms
- Cost and security reviews
Questions
The ones engineering leaders ask first.
How do engagements usually run?
Most run month to month against an agreed scope, either through your staffing partner or as a direct 1099 or corp-to-corp contract. A shorter, fixed-scope reliability assessment is available if you want a plan before a commitment.
How is AI used, and who approves changes?
AI does the digging: triage across logs, metrics and traces, tying a spike to the change behind it, folding noisy alerts together, and first drafts of runbooks and postmortems. We review and approve every change before it is made, inside your change process.
Does our data end up in an AI tool?
We choose the AI tools and their settings, and we always choose the most restrictive data policies available. Data used during an AI investigation is not used to train AI models. Sensitive fields such as PII and PHI are masked in the telemetry pipeline before they reach any tool, and AI only sees what you have approved sharing.
Which clouds and tools do you work with?
AWS and Azure, built as code with Terraform, plus Kubernetes, OpenTelemetry, New Relic, Datadog and Grafana. Recommendations are vendor-neutral: they fit your stack, not a partner program.
Do you work remotely?
Yes. Based in Durham, NC, working with teams across the United States.
What happens after we get in touch?
A 20-minute intro call to understand the problem, then a written scope and rate. Nothing starts until you have agreed to both in writing.
Not sure which area fits?
Book 20 minutes and talk it through, or send the capabilities sheet to whoever needs to see it first.