AdTech
Real-time Analytics Pipeline
<50ms
Processing Latency
2M+
Events/Second
Zero
Data Loss
Herausforderung
An AdTech company needed to process millions of events per second for real-time bidding decisions. Their batch processing system couldn't meet the latency requirements.
Lösung
Designed and implemented a stream processing pipeline capable of handling high-throughput, low-latency data processing. Built custom aggregation and windowing logic for real-time analytics.
Verwendete Technologien
KafkaFlinkClickHouseKubernetesGo
Ergebnisse
1
<50ms
Processing Latency
2
2M+
Events/Second
3
Zero
Data Loss
Wichtige Erkenntnisse
Structured Approach
A methodical discovery and implementation process ensures predictable outcomes and minimizes risk.
Measurable Impact
Every improvement is quantified. Data-driven decisions lead to clear ROI and stakeholder alignment.
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