Consulting
Consulting
Technology Consulting for Modern Product Development
How we partner with teams end-to-end, from early architecture through scaling proven systems.
Read article →StackGrains is a hands-on product development and IT services partner. We take teams from architecture and MVP through to production-grade cloud platforms — and stay on to run them.
Engineering across the modern stack
Most partners either write code or run infrastructure. We do both, which is why the handover between them never becomes your problem.
Discovery to launch with a small, senior team. We ship a working product in weeks, then harden it as usage grows — no throwaway prototypes.
Landing zones, Kubernetes, CI/CD, and observability built as code — the foundation that lets your product teams deploy without filing a ticket.
Pipelines, lakehouses, and reporting layers that turn scattered operational data into something the business can actually make decisions on.
We stay after go-live: monitoring, on-call, patching, cost control, and the unglamorous reliability work that keeps revenue flowing.
Short cycles, production from day one, and decisions documented so the next engineer — ours or yours — knows why.
Two weeks in your codebase and cloud account. You get an architecture review, a risk register, and a costed roadmap — whether or not you hire us.
We pick boring, proven technology that fits your workload and team size, and write down the trade-offs behind every significant decision.
Two-week increments against a working deployment pipeline. Demos over status reports, and your engineers pair with ours throughout.
Runbooks, SLOs, and on-call from launch day — then a clean handover to your team, or we keep running it under a managed agreement.
Every engagement is staffed with people who have carried a pager for the systems they designed. You get direct access to the architects doing the work — not an account manager relaying it.
Pick the shape that fits the problem.
Concrete artifacts, every phase.
We keep our tooling deliberately narrow so the team stays genuinely expert in it. When your context calls for something else, we say so — and bring in the right specialists rather than bending your architecture to fit ours.
Different domains, the same underlying problem: shipping reliable software faster than the business is changing.
Getting from prototype to a multi-tenant platform that survives its first enterprise customer — and its first security questionnaire.
Regulated workloads that need auditability, tight change control, and reliability budgets measured in minutes per year.
Peak-season elasticity, catalog and inventory integration, and cost curves that do not scale linearly with traffic.
Data platforms with privacy controls built in from the schema up, not bolted on before an audit.
Event-driven integration between operational systems, plus the telemetry to see what is actually happening on the ground.
Extra senior capacity that plugs into your existing squads and standards, without a six-month ramp-up.
Practical write-ups on the decisions we help clients make — cloud choices, architecture trade-offs, and delivery tooling.
Consulting
How we partner with teams end-to-end, from early architecture through scaling proven systems.
Read article →Cloud
Core services, IAM basics, and an honest read on when AWS is the right fit.
Read article →Cloud
Where Azure fits for enterprises and Microsoft-centric engineering teams.
Read article →Cloud
An overview of GCP services for modern developers and architects.
Read article →Platform
Build and scale cloud infrastructure declaratively, with review and rollback.
Read article →Platform
Automating cluster provisioning the infrastructure-as-code way.
Read article →Data
Flexible NoSQL strategies — and where they stop being the right answer.
Read article →Engineering
Event-driven backends, where Node excels, and where it clearly does not.
Read article →Architecture
When to choose serverless for your next workload — and the hidden costs.
Read article →Delivery
CI/CD practices that make releases routine instead of eventful.
Read article →Data
Designing scalable storage and query layers for analytics workloads.
Read article →Send a short description of your product, stack, or migration. We will reply with an honest read on the approach — and whether we are the right partner for it.