AdTech

Real-time Analytics Pipeline

<50ms

Processing Latency

2M+

Events/Second

Zero

Data Loss

Challenge

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.

Solution

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.

Technologies Used

KafkaFlinkClickHouseKubernetesGo

Results

1

<50ms

Processing Latency

2

2M+

Events/Second

3

Zero

Data Loss

Key Takeaways

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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