Systems | Development | Analytics | API | Testing

7 Signs Your Kafka Environment Needs an API Platform

Managing Kafka as an island on its own got you this far. But scaling it securely and efficiently across your organization? That's another matter entirely. Apache Kafka is the number-one event streaming platform used by developers and data engineers worldwide to build reliable, scalable real-time data pipelines and event-driven applications.

Allium's Blueprint for Scaling Blockchain Data with Data Streaming | Life Is But A Stream Podcast

Blockchain may be decentralized, but reliable access to its data is anything but simple. In this episode, Ethan Chan, Co-Founder & CEO of Allium, shares how his team transforms blockchain firehoses into clean, queryable, real-time data feeds. From the pitfalls of hosting your own data streaming infrastructure to the business advantages of Confluent Cloud, Ethan reveals the strategic decisions that helped Allium scale from 3 to nearly 100 blockchains, without burning out their engineering team.

The Kafka replicator comparison guide

Let's talk about a problem that might sound simple but gets complex quickly: copying data from one Kafka cluster to another. As our Kafka usage grows, many of us find ourselves managing multiple clusters and needing to share data between them. Or worst still, sharing data to an external cluster. During a London meetup, we explored why this happens, what existing solutions offer, and why we decided to build our own Kafka replicator. Here's what we learned.

How to Query Apache Kafka Topics With Natural Language

Modern companies generate large volumes of data, but often the internal users who need that data to do their jobs—data engineers, managers, business analysts, and developers—can find it challenging to quickly figure out answers to their questions. Apache Kafka is a powerhouse for real-time data processing of high-throughput workloads, and many organizations use Kafka to enable self-service access to data streams.