BlueArch measures and maximizes the return on every AWS decision. Executives see infrastructure as a business asset — cost as a share of revenue, forecast to within ±5%, ready for the board. Architects see the cost, latency, and risk of every design before it ships — and the spend one engineer can confidently run grows 2–4×.
A chat-and-report surface for the people who pay the bill. A first-class CLI and agent for the people who write the infrastructure. Both run in your VPC on one shared data model — pick your side of the bill.
Check out the toolkit →CFOs, FP&A, and budget owners. Ask the bill a question in plain English, report spend as a share of revenue, and keep every EDP / PPA commitment on pace.
SREs, platform teams, and solution architects. Alerts ranked by dollars at risk, tag policies that clean up after themselves, and an agent that forecasts an architecture before it ships.
Ask your AWS bill a question in plain English. Open the chart in the explorer, pin it to a dashboard, share the snapshot.
Spend as a share of revenue and cost per customer — metrics a board reads.
Burn vs. commit, months ahead. Renegotiate going up; insure the shortfall coming down.
Alerts ranked by dollars at risk — revenue tags and customer tiers, not high / medium / low.
TTL, ownership, and lifecycle policies in code — resources that clean up on their own.
Your solution-architecture agent. Ask in English; get cost, p95, and a runbook before you ship.
InfraGPT pairs three signals other tools see in isolation — your operational logs, AWS pricing data, and a population of simulated user sessions — into a single forecast model. Ask a question in English; get a quantified answer with cost, latency, blast-radius, and a runbook.
If we move analytics to Aurora Serverless v2 and 3× our pilot user cohort, what does next quarter look like — cost, p95, and risk?
BlueArch closes the loop on the eight things every cloud team eventually builds in-house and never finishes. We did them so you don't have to.
Simulate region adds, schema migrations, and traffic surges against your real workload before you commit code.
±5% on 30-day spendInfraGPT joins logs with live AWS pricing and a synthetic user population, so each design choice carries a number.
Logs × pricing × usersGenerate the SOC 2, M&A, or board-meeting infrastructure pack from live state — every claim linked to its evidence.
3 weeks → 12 minutesTTL, ownership, and tag rules declared in code, enforced from CLI, audited from the dashboard.
14 policy templatesCIS, AWS Well-Architected, and your house rules — scanned continuously, scored by business impact, not severity.
320+ checksEvery dependency, every account, every region — queryable, exportable, and diffable across deploys.
Multi-account awareCloudTrail, CloudWatch, and CUR joined in one queryable surface, retained on your terms — same data InfraGPT models on.
S3-backed · your retentionAsk in English. Get the diff, the runbook, the dollar impact — with an audit trail before anything ships.
Claude · BYO keyOur capabilities — tagging, detection, commitments, governance — feed the control plane running in your account. Toolkit data flows through it and comes out as the KPIs a board understands: spend as a share of revenue down, more value per dollar, more spend confidently managed per engineer, faster architectural due diligence.
We hear these on every demo. Short answers below — full architecture, IAM policies, and threat models live in the public docs.
Book a short review with BlueArch. We will look at how your teams connect AWS cost, reliability, resource lifecycle, and business outcomes.
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