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CASE STUDY

Notification Center

Event-driven notification microservice that became the organization-wide standard for reliable, multi-channel delivery at scale.

NestJSTypeScriptRedisMongoDBAWS SNS/SQSBullMQPostgreSQLDockerMicroservices

Overview

Notification Center is a high-throughput, event-driven microservice built to deliver notifications with reliability and clarity at scale.

I led a 3-engineer initiative to design and implement it as a shared platform capability — providing technical direction, mentoring a junior engineers, and driving adoption until every product migrated off local email/notification implementations.

The service centralizes multi-channel delivery (email, push, in-app, slack, custom) behind a resilient event workflow, so product teams publish events instead of owning fragile delivery logic.


The Challenge

Before Notification Center, the organization faced:

  • Late or missing notifications under peak traffic
  • High failure rates tied to product-specific implementations
  • Limited visibility into delivery issues and retries
  • Tight coupling between product code and messaging concerns

What was needed was a dedicated, resilient notification layer that could absorb unpredictable load without degrading the rest of the platform — and that teams would actually adopt.


The Solution

I drove a centralized notification microservice on distributed, event-driven patterns:

  • Event-driven workflow: decoupled publishers and consumers per event type
  • AWS SNS + SQS: reliable fan-out and buffering through traffic spikes
  • BullMQ + Redis: horizontal parallel job processing
  • Automated retries: intelligent handling of transient and upstream failures
  • Observability & audit trail: end-to-end visibility into message flow
  • Security-minded payloads: validation, signatures, and safe handling defaults

The result was a single operational surface for notifications — faster to improve, easier to monitor, and consistent across products.


Key Technical Features

  • Parallel message processing with Redis and BullMQ
  • SNS/SQS-backed queues for durable, ordered delivery paths
  • Multi-channel notifications: email, push, in-app, slack and custom
  • Query and throughput tuning for high event volume
  • Operational dashboards for queue health and delivery performance
  • Containerized deployment (Docker) with CI/CD for safe releases

Impact

Notification Center

  • Organization-wide adoption — all products migrated to the centralized service
  • Higher engagement through timely, consistent delivery
  • Stronger delivery reliability under peak load
  • Clear ownership — one platform service instead of many product-specific paths
  • Millions of monthly events processed through the shared pipeline

Related platform & performance outcomes

OutcomeDetail
faster queriesRelational query paths optimized for production latency
operational stabilityAsync processing for heavy workloads, fewer performance incidents
+45% production reliabilityObservability that surfaced issues earlier and reduced production errors
+50% test coverageQuality investment that made changes safer to ship

Notification Center turned a fragile, duplicated messaging concern into a scalable platform capability — and it sits alongside the performance and reliability gains above.


Takeaway

This case study reflects the kind of work I care about most: platform leverage — designing a system others can trust, driving adoption, and leaving higher reliability with less duplicated complexity.

Interested? Have any questions?

Open to engineering collaboration and roles where system design and delivery quality matter.

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