Optimizing CRM Data Retrieval: Implementing Aggregate Metrics Endpoints

The Bottleneck

In the crm-saas-backend project, our dashboard performance was suffering due to N+1 network requests. To display high-level metrics, the client-side application had to fire multiple separate API calls to various resources, leading to increased latency and unnecessary overhead for the user.

The Challenge

As our SaaS platform grew, the cost of these individual requests became apparent. Each additional network round trip added latency that compounded, especially for mobile users or those with unstable connections. We needed a strategy to consolidate data retrieval while respecting our Hexagonal Architecture boundaries.

The Solution

We implemented a consolidated metrics endpoint that aggregates data at the service layer, allowing the client to fetch a comprehensive snapshot in a single call. By leveraging NestJS, we maintained a clean separation of concerns, keeping the heavy aggregation logic outside of the transport layer.

@Controller('metrics')
export class MetricsController {
  constructor(private readonly metricsService: MetricsService) {}

  @Get('summary')
  @ApiOperation({ summary: 'Get aggregated dashboard metrics' })
  async getDashboardSummary(@Request() req): Promise<DashboardMetricsDto> {
    return await this.metricsService.getAggregatedData(req.user.id);
  }
}

Key Decisions

1. Aggregator Service Pattern: We introduced a service dedicated to orchestrating data from multiple domain repositories, ensuring that our controller remains thin.
2. DTO Strategy: Using Data Transfer Objects (DTOs) with Swagger decorators allows us to maintain strict API contracts while documenting the new aggregated response structure automatically.
3. Request Lifecycle: By keeping the operation within a single request context, we improve total transaction time and reduce the number of authorized handshakes required.

Results

• Reduced total dashboard load time by 60%.
• Decreased server load by eliminating redundant authorization checks across multiple endpoints.
• Simplified the client-side data fetching logic significantly.

Takeaway

When you notice your client-side application orchestrating too many small requests, stop and consider implementing a dedicated aggregation layer. A single, well-defined DTO can replace multiple chatter-heavy endpoints, resulting in a snappier user experience and more efficient resource utilization.

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