Every engagement measured against the same five lenses: AWS Well-Architected, DORA, cloud-native baseline, NIST, and OWASP. Same standards. One automation flywheel. Repeatable margin.
Your company runs its own particular mix of tools. That mix does not change the method, because the assessment lenses are public standards, not opinions about tooling. Same five lenses every time. Same automation flywheel. Margin compounds.
Same scanner battery at the open and close. Automation gathers facts; humans decide what they mean.
Automated audit of AWS accounts, Kubernetes, pipelines, and repos, interpreted by hand. Output: scored gap analysis against five lenses plus a prioritized finding register.
1 week / $3,500 →Findings become a prioritized roadmap with effort, dependencies, and standard references. One-page fixed proposal. Complete enough to execute without i7ops.
Included →Build from a proven module library, then re-run the identical Stage 1 scanners. Before/after delta proves closure with evidence, not claims.
2–6 weeks / priced →Every finding maps to at least one standard. When your auditor asks why something is built the way it is, the answer cites a standard, not a consultant.
Six pillars: operational excellence, security, reliability, performance efficiency, cost optimization, sustainability. The primary structure for cloud findings.
Four proven metrics for delivery excellence: deployment frequency, lead time, change failure rate, mean time to recovery. SLOs with error budgets.
NIST CSF 2.0 and SP 800-53 for structure; SP 800-190 for containers. OWASP Top 10, Docker/K8s guidance, and practical tooling. Comprehensive government-backed + practitioner-built.
Same tools, same versions, same scope. Discovery baseline. Remediation verification. Before/after delta proves closure with evidence, not claims.
Automation gathers facts; humans decide what they mean. Evidence archive ships with every report. Nothing in the report is asserted without a file behind it.
Every project produces a quantified before/after case study. The delta table is persuasive and measurable, not theoretical. Anonymized data compounds the portfolio.
Every remediation adds a reusable Terraform module or GitHub Actions workflow. Next engagement is faster at the same fixed price. Margin compounds while delivery time drops.
Policy-as-code means closed findings cannot silently regress. Creates natural retainer demand: "keep us green." Ongoing business from a single initial engagement.
Same method → better data → faster builds → higher margin. Standardization works because the lenses don't move.
One method. Five lenses. Any tools. Your company runs its own particular mix. That mix does not change the assessment, because AWS Well-Architected, DORA, NIST, and OWASP are public standards, not opinions about tooling. Same five lenses whether you run Lambda or Kubernetes.
Discovery is 80% scriptable. A read-only role + one orchestrator script runs Prowler, kube-bench, Trivy, Checkov, gitleaks, ZAP, and a DORA collector. Same tools, same versions, same scope. Automation gathers facts; humans interpret them. That's where the value lives.
Remediation builds from a module library. Every Terraform module and GitHub Actions workflow from past engagements makes the next one faster. The library compounds. Margin compounds. Same fixed price.
Verification is not optional. Stage 1 scanners run again at close. Before/after delta proves closure. "Critical findings: 14 → 0, with evidence." Not "we implemented it."
Read-only audit + gap analysis against five lenses.
Prioritized roadmap with P0/P1/P2 packages.
Build + verify + before/after delta proof.
Every engagement is measured twice: once at discovery, once at close. Same scanners. Measured proof, not claims.
Discovery gives you a baseline. Remediation closes findings. Re-running the identical scanner battery proves closure with evidence, not claims. The before/after delta is the most persuasive artifact you'll ever produce to an investor, auditor, or enterprise customer.
Yes. The roadmap from Stage 2 is deliberately complete enough that your team can execute it without i7ops. Most clients choose to contract Stage 3, but a significant fraction don't, and the Discovery Report still pays for itself.
The framework adapts. AWS Well-Architected is AWS-native, but DORA, NIST, and OWASP are cloud-agnostic. Prowler scans AWS accounts; Steampipe runs multi-cloud queries. GCP, Azure, and Kubernetes get assessed through the same lenses. The standards don't move; the tools do.
With every engagement. A Terraform module or GitHub Actions workflow added per engagement means next engagement is faster at the same fixed price. Margin compounds because the flywheel tightens. After 10 engagements, baseline remediation time drops significantly.
You do. Runbooks, architecture diagrams, and recorded session are delivered alongside the working infrastructure. i7ops access is revoked at close. When you hire your first platform engineer, they inherit a system, not a mystery.
Start with a discovery. Same method. Same lenses. Measured proof. Worst case: you leave with a roadmap worth the audit fee.