Database Cost & Reliability Review
Where database spend goes, and the reliability risks sitting next to it. Prioritized findings with the math.
Learn more →Database · Cloud · AI Platform Cost Engineering
AKS helps engineering teams reduce database, cloud, and AI platform cost through production-grade diagnostics, automation, and senior architecture review. Read-only, evidence-driven, and scoped before it starts.
You may need this if:
Three focused, productized reviews. Read-only diagnostics, ranked findings, and a 30/60/90-day plan — no promised savings percentage.
Where database spend goes, and the reliability risks sitting next to it. Prioritized findings with the math.
Learn more →Token spend, model selection, caching, and retrieval cost — reviewed like a database, with a forecastable cost model.
Learn more →Can you see what's expensive and what's about to break? We map the gaps and specify exactly what to add.
Learn more →Free: the 30-Point Database Cost Review Checklist + a full sample report.
Get the resourcesCost & reliability reviews are the focus, but engagements also draw on 20+ years across these areas — senior judgment without a full-time hire.
Review configuration, indexes, query plans, backups, replication, capacity, and operational risk. You get a short findings report with prioritized fixes.
Slow query triage, wait analysis, connection pool review, index cleanup, and workload-specific tuning for PostgreSQL, MySQL, SQL Server, Oracle, MongoDB, and cloud databases.
Migration planning, compatibility review, cutover design, rollback strategy, dual-write or CDC patterns, and risk review for commercial-to-open-source and cloud moves.
Validate whether backups are restorable, recovery targets are realistic, failover behavior is understood, and runbooks match the actual production system.
Part-time database operations help for teams that need expert review, incident support, maintenance planning, release checks, or a second set of eyes on risky changes.
LLM application architecture, RAG pipeline design, agent orchestration frameworks, evaluation infrastructure, and production guardrails for AI systems.
Schema design, query optimization, migration strategy, and operational runbooks for PostgreSQL, MongoDB, vector databases, and multi-model data platforms.
Multi-region architecture, reliability engineering, cost optimization, and system design for AWS, GCP, Azure, and OCI. CAP theorem tradeoffs made concrete.
In-depth technical review of existing systems: design gaps, scaling bottlenecks, security posture, and a prioritized remediation roadmap you can act on.
Cloud spend analysis, right-sizing, and reservation strategy across AWS, GCP, Azure, and OCI. Software license inventory system design — tracking entitlements, usage, and renewal exposure at scale.
Principal engineering advisory, engineering strategy, hiring criteria, and technical due diligence for investors and acquirers evaluating a codebase or team.
Team workshops on distributed systems, database internals, and production architecture patterns. Interview-ready system design preparation for senior engineers.
Quick calculators and selectors for teams planning database moves, architecture decisions, and AI data platform sizing.
Estimate license exposure, migration effort, and payback scenarios before you start a platform move.
Open Tool →Compare relational, document, cache, search, vector, and event-driven storage patterns against workload constraints.
Open Tool →Check schema, workload, cutover, rollback, observability, and ownership gaps before a migration enters execution.
Open Tool →Plan rough storage, embedding, index, and query-volume assumptions for RAG and semantic search systems.
Open Tool →Have a result you want reviewed?
Book a Discovery CallNo retainer traps. No mystery pricing. Three steps from first contact to active work.
30-minute free call. You describe the problem; we dig into the questions that usually get skipped. No pitch deck, no NDA required to start.
Written proposal with clear deliverables, timeline, and fixed-price or retainer options. No surprise invoices at the end of the month.
Advisory calls, async Slack reviews, written architecture documents, or fully embedded work — matched to what your team actually needs.
Concrete outputs. Not presentations — working documents your engineering team can act on.
The blog at rajivonai.com is the best signal of how AKS Engineering approaches systems problems — architecture tradeoffs, failure modes, real-world database behavior, and AI infrastructure decisions written for practitioners.
Browse All Posts →AKS Engineering (AKS Software Solutions LLC) brings 20+ years of experience designing and operating distributed systems, data platforms, and cloud infrastructure across startups, scale-ups, and enterprise organizations.
Engagements are offered on a project and advisory basis — for teams that need principal-level judgment on architecture, database systems, and AI infrastructure without a full-time hire.
The engineering blog at rajivonai.com is a public record of production experience — what breaks, what scales, what the textbooks miss, and what actually matters when a system is under load.
Describe what you are building or the problem you are trying to solve. AKS Engineering responds within one business day.