Large-scale applications · Sample

SaaS platform — architecture & observability

A modular NestJS monolith with queues and event-driven integrations. Centralised logging in Loki, dashboards and alerting in Grafana.

Client
SaaS scale-up (sample)
Year
2025
Scope
ArchitectureBackendKubernetesObservability
Stack
NestJSPostgreSQLBullMQKubernetesGrafanaLoki
Large-scale applications
10×traffic, no rewrite
-70%MTTR
99.9%uptime

Reference architecture

CLUSTER · K8S / OKDClientsweb · mobile · APIGatewayauth · rate limitDomain modulesNestJSQueue / eventsBullMQ · RabbitMQPostgreSQLreplicas · PITRWorkersNode · PythonObservabilityGrafana · LokiDWG · PLATFORM-01 · nightdev
  1. Clientsweb · mobile · API
  2. Gatewayauth · rate limit
  3. Domain modulesNestJSQueue / eventsBullMQ · RabbitMQ
  4. PostgreSQLreplicas · PITRWorkersNode · Python
  5. ObservabilityGrafana · Loki
Reference architecture · SaaS platform — architecture & observability

This is a sample case study showing the format. Replace it with a real project.

Problem

The platform grew faster than its architecture: one process served the API, reports and integrations, so every heavy export slowed the whole app. Customers reported outages, and diagnosis took hours because logs were scattered across pods.

Decisions

  • A modular NestJS monolith with clear module boundaries instead of premature microservices.
  • Heavy operations moved to queues and workers that scale independently.
  • Observability: logs in Loki, metrics in Prometheus, dashboards and alerts in Grafana, correlated by request-id.
  • CI/CD deployments with automatic rollback on failed health checks.

Outcome

  • The platform handled 10× more traffic without a rewrite.
  • Mean time to recovery (MTTR) -70%.
  • 99.9% uptime the following quarter.

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