- Critical bottleneck and spend-leak shortlist
- Top next actions by impact, urgency, and effort
- Executive memo for decision makers
Commercials & Pricing
Transparent Pricing & Productized Advisory
Predictable, flat-rate performance audits, Datadog cost reduction, and continuous SRE governance. Clear milestones, SLAs, and deliverables.
Smoke Perf Audit
Fast 1-week diagnostic for a single critical service. Isolates P99 bottlenecks, builds baseline k6 scenarios, and delivers an actionable fix memo.
Launch & Scale Readiness
End-to-end stress, spike, and failover verification before major launches, campaigns, or partner integrations.
Observability Cost Audit
Deep forensic audit of Datadog / New Relic bills. Pinpoints high-cardinality tag explosion, retention waste, and noisy log streams.
Continuous PerfOps & SRE
Fractional Staff Systems / SRE lead governance for teams scaling fast without hiring a full-time in-house specialist.
Datadog Logs → Grafana Loki / LGTM Migration Sprint
Migrate the most expensive Datadog line item (logs) to Grafana Loki + Alloy with zero downtime and dual-shipping. Cuts log infrastructure spend by 80–95% while keeping APM intact.
Engagement options, not fixed price cards
The commercial shape depends on access, urgency, system size, and business risk. Use these options to choose the right starting point; the actual scope is calibrated after intake.
- Cost-per-request and cost-per-inference baseline
- Guardrails for spend, capacity, and anomaly response
- Weekly control loop for engineering, product, and finance
- Realistic load and dependency scenarios
- Capacity, stability, and rollback boundaries
- Go / No-Go packet for decision owners
- Architecture, SRE, FinOps, and AI infra decision support
- Backlog governance and team mentoring
- Leadership reporting on risk, scale, and spend
- Audit stream across performance, reliability, AI, and cloud efficiency
- Custom expert squad and governance model
- Delivery oversight with executive reporting
FAQ
Do you need production access?
Not at the start. We can begin with read-only observability, cloud billing exports, architecture context, and controlled test data.
Is this an AI automation project or consulting?
It is advisory with practical AI-assisted operations. The output is a control loop: what to monitor, what to automate, when humans decide, and how owners review it.
Do you implement code and infrastructure changes?
The core format is diagnosis, governance, and decision support. Implementation support can be scoped when the risk and ownership model is clear.
Why no fixed prices?
Cloud, AI, and scale risk depend on traffic shape, data access, regulated constraints, and team ownership. The site shows engagement shapes; commercial scope follows diagnosis.
How quickly do we get useful output?
The first useful output is a ranked signal map and owner-ready action list, once access and telemetry context are in place.