Proof
No client logos, no borrowed numbers. These case studies structure the practitioner experience behind AnovaCloud's methodology — 21+ years of enterprise technology work across FAANG-scale environments — as honest engineering narratives: the problem, the constraints, the decisions, and what we'd do differently.
How to read these: each case study is an anonymized account of practitioner experience, not a claimed client engagement. Industries are anonymized, identifying details removed, and where a specific figure isn't ours to publish we simply omit it — the copy reads complete without invented numbers. What carries over into AnovaCloud is the methodology: the patterns, the decision records, the failure modes, and the discipline.
Practitioner experience · Modernization
A national commercial bank's program to move business-critical SQL Server workloads to PostgreSQL — via a migration factory: discovery, compatibility scoring, wave planning, and rehearsed cutovers.
Read the case study →Practitioner experience · Agentic AI
A large healthcare enterprise's RAG platform for clinical and operational staff — PHI-aware ingestion, per-user access control at retrieval, citations on every answer, and an eval harness as the release gate.
Read the case study →Practitioner experience · Data Platform
A national telecom provider's move from a legacy warehouse and siloed marts to a governed lakehouse — medallion discipline, streaming where SLAs demand it, and cost observability from day one.
Read the case study →Practitioner experience · Agentic AI
A global manufacturer's pilot of a maintenance-diagnostics agent — read-only tools, human-in-the-loop approvals, and a governance gate that had to pass before the pilot went near production data.
Read the case study →Practitioner experience · Agentic AI
Where vector-only RAG failed and why graph won — entity modeling decisions, ontology design, and a GraphRAG pipeline from extraction to retrieval grounding, with the trade-offs that were rejected.
Read the case study →Practitioner experience · Modernization
Estate inventory the tools missed, T-SQL battle scars, datatype traps, SSIS/SSRS and Agent-job disposition — and the cutover rehearsal and rollback discipline that made the window.
Read the case study →Practitioner experience · Data Platform
The tuning war — slow-query triage methodology, vacuum/bloat warfare, index strategy including the one that made things worse, planner surprises, PgBouncer gotchas, and partitioning decisions.
Read the case study →Practitioner experience · Agentic AI
Chunking measured against evals, conditional reranking, freshness guarantees, cost/latency trade-offs — and the access-control leak that almost shipped, told honestly.
Read the case study →Practitioner experience · Agentic AI
Eval harness construction, guardrails built/bought/skipped, human-in-the-loop boundaries, permission scoping — and the staging incident that proved the governance pack's worth.
Read the case study →Practitioner experience · Cloud
Landing-zone decisions, sequencing across teams, the decommission kills list, and governance that stuck versus governance that died — the blunt version.
Read the case study →Blueprint · Reference Architecture
The migration-factory blueprint the bank program informed: discovery, compatibility assessment, automation, waves, testing, cutover, rollback — with every assumption stated up front.
Read the blueprint →Blueprint · Reference Architecture
The production RAG blueprint the healthcare work informed: ACL-aware retrieval, eval-gated releases, ingestion SLAs, and the governance controls that make grounded AI defensible.
Read the blueprint →Start here
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