Data & Analytics
Design a Real-time Metrics Aggregation System (Datadog clone)
A high-cardinality time-series platform ingesting millions of metric points per second, rolling them up in real time, and serving low-latency dashboard queries.
Open and Simulate this Architecture in InfraDraftCore Architectural Components
Metrics/Logs Collection Agent
Runs on every host or service, batching and forwarding metric points.
Stream Aggregation Layer
Computes rollups — sum, average, percentiles — before long-term storage.
Time-Series Database
Stores metrics with tiered downsampling for cost-efficient long retention.
Query Engine
Serves dashboard and alerting reads with sub-second latency.
Alerting & Threshold Evaluation Service
Continuously evaluates rules against fresh data and fires notifications.
Tag/Label Indexing Service
Handles the high-cardinality metadata that makes ad-hoc filtering possible.
Dashboard Rendering Service
Turns query results into the visual panels users configure.