SaaS and Technology

Northline Analytics, Multi-tenant product intelligence

Northline needed one analytics workspace model for self-serve teams and enterprise accounts without maintaining parallel codebases or fragile permission hacks.

workspace / production

live

Active tenants

128

Job success

99.4%

p95 latency

142ms

01Challenge

What was in the way.

Two legacy tiers ran on different data models. Enterprise deals stalled because provisioning was manual, and feature teams feared that any schema change would break tenant isolation guarantees promised in security reviews.

02Strategy

How we chose to proceed.

Codeaxes ran discovery with customer success and platform engineers, then phased delivery: tenant core and auth first, migration tooling second, customer-facing analytics third.

03Solution

What shipped.

We delivered a multi-tenant platform with workspace hierarchies, usage-aware billing hooks, and an admin console for provisioning and support impersonation with full audit logging.

  • Workspace and organization model with inherited roles and feature entitlements
  • Self-serve signup with progressive activation milestones
  • Enterprise SSO and SCIM provisioning
  • Usage metering pipeline feeding billing integration
  • Support impersonation with time-bound sessions and immutable audit trail
  • Migration importers for legacy tenant data with validation reports

04Stack

Technologies on the critical path.

  • TypeScript
  • Node.js
  • PostgreSQL
  • React
  • Redis
  • AWS
  • Terraform

05Outcomes

Operating change the work targeted.

Provisioning time

Hours → minutes for standard enterprise workspaces

Release cadence

Weekly trains with tenant-scoped feature flags

Support context

Single admin view replacing three internal tools

“We stopped debating whether enterprise and self-serve were the same product, they finally run on one foundation our team can extend.”

Maya Chen, VP of Engineering, Northline Analytics

If this resembles your constraint, start a project.