Category: message oriented platform

DataStax has recently released its Astra Streaming, enabling developers to build streaming applications on top of an elastically scalable, multi-cloud messaging and event streaming platform powered by Apache Pulsar. This article will walk you through a short demo that will provide a great starting point for familiarizing yourself with this powerful new streaming service.

Here’s what you will learn:

The leading open-source event streaming platforms are Apache Kafka and Apache Pulsar. For enterprise architects and application developers, choosing the right event streaming approach is critical, as these technologies will help their apps scale up around data to support operations in production.

Everyone wants results faster. We want applications that know what we want, even before we know ourselves. We want systems that constantly check for fraud or security issues to protect our data. We want applications that are smart enough to react and change plans when faced with the unexpected. And we want those services to be continuously available.

Large-scale implementations of any system, such as the event-streaming platform Apache Kafka, often involve customizations and tools and plugins developed in-house. When it’s time to transition from one system to another, the task can become complicated, drawn-out, and error-prone. Often the benefits of an alternative system (which can include significant cost savings and other efficiencies) are outweighed by the risks and costs of migration. As a result, an organization can end up locked into a suboptimal situation, footing a bigger bill than necessary and missing out on modern features that help move the business forward faster. 

These risks and costs can be mitigated by making the transition process iterative, breaking off the vendor lock-in in small, manageable steps, and avoiding the "big bang" switch that often results in delayed delivery and increases the cost of running two systems in parallel for A|B testing.