DATA PIPELINE

Streaming Event Analytics

High-throughput event processing platform aggregating telemetry from 500k active IoT clients in real-time.

50,000

Processed Events/Sec

4.2x

Data Compression

40%

Infrastructure Cost Reduced

PythonRedisKafkaPostgreSQLDocker

01. The Problem

The client needed an enterprise-grade solution capable of handling high-volume queries with minimal latency, strict data privacy controls, and high availability during peak traffic spikes.

02. Engineering Solution

CookMyTech engineered a modular cloud architecture utilizing async background workers, vector search indexing, connection pooling, and automated fallback routing.

03. Key Technical Challenges

✔ Managing high-concurrency event bursts without memory leaks.
✔ Sub-100ms vector search querying over millions of document vectors.
✔ Implementing strict cryptographic logging and RBAC permissions.
✔ Automated CI/CD integration and zero-downtime rolling updates.

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