[ Most SaaS products do not fail on features. They fail on the second hundred customers ]
Most SaaS products do not fail on features. They fail on the second hundred customers — when tenant isolation turns out to be a WHERE clause, when one enterprise account's report query starves everyone else, when releases need someone awake at 2am. Our SaaS platform engineering services exist for that stage: architecture, migration, DevOps, security and performance work on platforms that already have users and cannot afford a rewrite. We also build new products end to end as a SaaS development company for teams starting from zero.
Most SaaS products do not fail on features. They fail on the second hundred customers — when tenant isolation turns out to be a WHERE clause, when one enterprise account's report query starves everyone else, when releases need someone awake at 2am. Our SaaS platform engineering services exist for that stage: architecture, migration, DevOps, security and performance work on platforms that already have users and cannot afford a rewrite. We also build new products end to end as a SaaS development company for teams starting from zero.
Start with the architecture review rather than a build proposalgreenfield multi-tenant products from architecture through launch and scale.
tenancy model, data partitioning, service boundaries and scaling strategy, delivered as a decision document you can act on.
products built to your domain rather than assembled from a template.
decomposing a monolith safely using strangler-fig extraction.
single-tenant to multi-tenant, on-premise to cloud, and SaaS data migration with verified cutover.
CI/CD, infrastructure as code, environment parity, progressive delivery, observability.
tenant isolation testing, SSO and SCIM, secrets management, SOC 2 engineering readiness.
profiling, query and index work, caching strategy, load testing, autoscaling.
public API design, webhooks, partner and marketplace integrations, versioning.
event pipelines, usage metering, warehousing and per-tenant analytics.
cost per tenant, capacity planning, incident process and release governance.
Multi-tenant platforms meeting enterprise procurement gates from day one — SSO, SCIM provisioning, granular RBAC, audit logging, data residency options and contractual uptime.
From MVP to Series A scale: billing and subscription logic, onboarding, feature flags, usage metering and the analytics that inform pricing.
Tenancy redesign, service decomposition, event-driven refactoring and database partitioning for platforms outgrowing their original design.
Kubernetes or serverless platforms, multi-region deployment, disaster recovery, cost optimisation and capacity planning.
Building the integrations enterprise buyers ask for, plus listing-ready apps for Salesforce, Slack, HubSpot and similar marketplaces.
tenancy and data model opinion, scaling risk list, security gap summary, prioritised plan. For live teams this alone often unblocks two quarters.
sequenced by risk and business impact, with effort estimates you can budget against.
we work in your repos, CI and process, shipping behind flags.
dual writes, backfill, shadow reads and verified per-tenant cutover, keeping the product releasable throughout.
documentation, dashboards and on-call playbooks, because a platform your team cannot operate is not delivered.
Backend: Node.js, Go, Python, Java, .NET. Frontend: React, Next.js, TypeScript throughout. Data: PostgreSQL with row-level security or schema isolation, Redis, Kafka, ClickHouse or Snowflake for analytics. Infrastructure: AWS, Azure, GCP, Kubernetes, Terraform, ArgoCD. Observability: OpenTelemetry, Datadog, Grafana, Sentry. Identity: Auth0, Okta, Keycloak, SAML and OIDC, SCIM. Billing: Stripe Billing, Chargebee, usage metering pipelines.
Tenancy model first, everything else after. Shared database with a tenant column is cheapest to run and hardest to isolate. Schema-per-tenant gives clearer boundaries at the cost of migration complexity across thousands of schemas. Database-per-tenant gives the strongest isolation and the highest operational overhead, and is often the only acceptable answer for regulated or large enterprise buyers. There is no universally right choice — there is a right choice given your buyer, your compliance obligations and your team size. Hybrid models, where most tenants share and large ones are isolated, are common and entirely reasonable. AWS's SaaS architecture guidance covers the trade-offs well.
Noisy neighbours are an architecture problem, not a support problem. Per-tenant rate limiting, query timeouts, background job queues partitioned by tenant and separate read paths for heavy reporting are what keep one customer's Monday export from degrading everyone's experience.
SOC 2 is a system property. Auditors ask for evidence: access reviews, change management records, logging, vulnerability management and documented incident response. Products building audit trails, least-privilege access and reproducible deployments from the start pass with far less disruption. The AICPA trust services criteria define what you are assessed against.
Measure unit economics inside the platform. Cost per tenant, per feature and per request is a product decision input, not a finance report. Instrument it early; it changes pricing and roadmap.
Indicative cost: a SaaS MVP with multi-tenancy, billing and onboarding typically starts around $30,000–$70,000. Platform modernisation and migration programmes are scoped after the architecture review, because an honest estimate is not possible before it.
If you are evaluating SaaS platform engineering services, start with the architecture review rather than a build proposal — it is cheaper, faster, and it tells both of us whether a longer engagement makes sense.
It depends on buyer expectations and compliance. Shared-schema suits high-volume SMB products; isolated databases suit regulated or enterprise buyers, which is where our regulated platform engineering applies. Many mature platforms run a hybrid. We recommend based on your actual pipeline, not fashion.
Let’s talk about your saas & technology project. No obligation, just a conversation.