Real teams, real Kafka at scale.
How platform and data engineering teams use Kpow to run Apache Kafka in production.
How Claritev cut $150,000 in Kafka support costs with Kpow
A US healthcare technology company brings Kafka support in-house, saving $150,000 a year, after Kpow gave its middleware team the visibility to manage the platform with confidence.
How a foodservice distributor scaled Kafka access to 130 developers
A national foodservice distributor scales Kafka observability from a handful of admins to a dozen product teams behind its e-commerce platform.
How Gmarket replaced Control Center and cut Kafka costs with Kpow
South Korean e-commerce marketplace Gmarket replaces Confluent's licensed Control Center with Kpow, giving 150 users across production and development self-service Kafka operations.
How Pickles replaced hours of Kafka checks with instant visibility
Australia's leading auction marketplace replaces custom validation microservices with Kpow's Data Inspect, giving its engineering team instant visibility into real-time auction data.
How German bank NORD/LB cut debugging time by 50%
A German financial institution overcomes critical compliance gaps and operational inefficiencies to build a scalable, enterprise-grade streaming data platform.
How Pepperstone made Kpow its first stop for Kafka visibility
A leading Forex and CFD broker uses Kpow as its first stop for Kafka visibility, giving engineers direct sight of topics and consumer groups, sampling data, capacity planning, and troubleshooting across its platform.
How Kpow became mission-critical to Verrency's payments infrastructure
A fintech running Apache Kafka as the backbone of its payments platform turns to Kpow for the visibility its engineers need, then shapes the product through direct feedback as it becomes mission-critical infrastructure.