7 Surprises Running Kafka in Production (and How to Prepare for Them)
To maintain the performance, reliability, and data durability of your production Kafka cluster, it’s crucial to monitor, prepare for, and react to these …
To maintain the performance, reliability, and data durability of your production Kafka cluster, it’s crucial to monitor, prepare for, and react to these …
Instead of just opening up closed-off systems via APIs, many businesses are looking to use event-based triggers as well to react to changes in real time.
In this week's real-time analytics news: IBM unveiled its new system that delivers real-time AI for transaction processing at scale.
Change Data Capture makes your data stores and existing databases first-class citizens in an event-driven architecture
The combination of Apache Kafka and Kubernetes helps developers create EDAs and real-time data pipelines that stream and integrate data between
Managed event services can help companies make faster and more efficient use of events and speed the adoption of event-driven architectures.
By carefully managing cluster and topic-level configurations, a continually optimized Apache Kafka deployment is there for the
Apache Kafka has been growing in adoption over the past decade, serving as a powerful tool for leveraging real-time data. However, it has not been well known …
Perhaps no other technology brings real-time capabilities into enterprises as much as Apache Kafka. Introduced as an open-source toolset almost a decade ago, …
While real-time analytics is clearly on the rise, no one should expect the need for batch-oriented data warehouses to decline any time soon.