Two ways to get enterprise-grade SRE capabilities — a senior human team embedded in your org, or an AI agent that never sleeps.
Both options are fixed-scope, monthly retainers. Pick the model that fits your team's maturity, culture, and goals.
Senior reliability engineers who become an extension of your team, not a vendor relationship.
End-to-end visibility across metrics, logs, and traces. We instrument, configure, and maintain your observability platform.
Define, measure, and report on Service Level Objectives that map reliability to business outcomes.
Build a sustainable on-call culture with runbooks, escalation paths, and alert fatigue reduction.
Kubernetes, cloud networking, autoscaling — we harden your infrastructure for production workloads.
Shipping fast without breaking things. We build deployment pipelines with built-in reliability gates.
Structured response, clear communication, and learning loops so every incident makes your system stronger.
An intelligent agent that integrates with your observability stack and acts as an always-on reliability co-pilot.
The agent classifies incoming alerts by severity, groups related signals, and suppresses noise — so on-call engineers wake up only when it matters.
During an incident, the agent continuously synthesizes metrics, logs, and events into a human-readable summary — so your team has context instantly.
When a new alert fires, the agent suggests relevant remediation steps or auto-drafts a new runbook based on past incident patterns.
Ask questions in plain English: "What caused the p99 spike at 3am?" The agent queries Prometheus, Loki, and Grafana and returns a cited answer.
The agent monitors SLO burn rates, error trends, and capacity signals continuously — alerting before users notice a problem.
Every Monday, a structured AI-generated report: incidents last week, SLO status, top risks this week, and recommended actions.
Agent connects to your observability & alerting stack
LLM processes signals and builds system context
Surfaces insights via Slack, dashboards, or weekly digest
Learns from your feedback loop to reduce false positives over time
Both options deliver SRE outcomes. The right choice depends on where your team is today.
| Option 01 SRE Expert Team | Option 02 SRE Agent | |
|---|---|---|
| Coverage | Business hours + async | 24 / 7 / 365 |
| Response latency | Minutes (human) | Seconds (automated) |
| Incident command | Yes — humans lead | Support role (drafts, summaries) |
| Cultural / process change | Deep — embedded team | Light — tooling layer |
| Observability queries | Hands-on analysis | Natural language chat |
| Runbooks & postmortems | Written by engineers | AI-drafted, human-reviewed |
| Onboarding time | ~30 days | ~7 days |
| Scales with alert volume | Bounded by team capacity | Scales linearly |
| Starting price | $4,500 / mo | $1,500 / mo |
No surprise invoices. No hourly billing. Fixed scope, fixed price — for both options.
For startups establishing their reliability foundation.
Production-grade reliability across your entire stack.
Complex, multi-team reliability requirements.
You know exactly what you're buying every month. No scope creep, no hourly surprises.
The expert team is embedded in 30 days. The SRE Agent goes live in 7.
We build runbooks, dashboards, and processes your team owns — for both options.
Start with the Agent, add the team as you scale — or run both in parallel.
Tell us about your stack and we'll recommend the right path — Expert Team, SRE Agent, or both.