โ Automation & Scraping
๐
Data Pipelines (Kafka + ClickHouse)
Real-time pipelines at scale: Kafka for ingest (millions of events/sec), ClickHouse for analytics storage (billions of rows), Grafana for visualization, alerting with PagerDuty.
โ CAPABILITIES
What we deliver technically.
๐
Kafka Ingest
Millions of events/sec with zero data loss
๐
ClickHouse OLAP
Query billions of rows in seconds
๐
Grafana Dashboards
Real-time + historical analytics
๐จ
Alerting
PagerDuty + Slack + email on thresholds
Tech stack
KafkaClickHouseGrafanaPrometheusPython/Go workers
โ USE CASES
How we deliver this in practice.
Real-time Trading Analytics
P&L pipeline + risk metrics for prop firm (APEX case)
E-commerce Behavior
Track clicks + add to cart + purchase at scale
โ PACKAGE
Standard package.
Data Pipeline
Production-ready pipeline
from โฌ20,000
- โKafka cluster (3+ brokers)
- โClickHouse cluster
- โGrafana dashboards
- โAlerting setup
- โ6 months maintenance
โ FAQ
Frequently asked questions.
Self-hosted or managed?+
Self-hosted EU recommended for cost + control. Managed (Confluent + ClickHouse Cloud) +โฌ500-2000/month.
How much can it process?+
Standard pipeline: 100k-1M events/sec. Custom optimization for >10M/sec.
Retention period?+
ClickHouse: configurable TTL per table. Typically: hot 30 days, warm 6 months, cold S3 indefinite.
Let's discuss your project.
Free discovery call + estimate within 24h.
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