Realtime Analytics Dashboard (Kafka + ClickHouse)

Overview: A ready-to-run streaming stack that ingests events via Kafka and serves sub-second analytics from ClickHouse,
complete with a FastAPI query service and a Next.js dashboard.
Key Capabilities: Schematized topics (JSON/Avro); ksqlDB/Fluent Bit examples; ClickHouse materialized views and rollups;
prebuilt dashboards (traffic, conversions, error rates); load generator for throughput/latency SLOs.
Architecture: Kafka ingestion and optional transforms; ClickHouse MergeTree with projections; FastAPI gateway with caching;
Next.js SSR dashboard with charts.
Security & Compliance: TLS/SASL brokers; IP allowlists; PII redaction patterns; API rate-limits and signed URLs.
Performance & Ops: Benchmarks & sizing; replication and rolling upgrades; schema evolution without downtime.
Quick Start: docker compose -f realtime.yml up → run loadgen → open dashboard.
Deliverables: Backend, UI, infra samples, dashboards JSON, alert samples.
FAQ: Redpanda compatible; namespacing & API keys for multi-tenant scenarios.