All posts tagged with data


Designing scalable, fault tolerant, and maintainable stream processing systems is not trivial. The Kafka Streams Java library paired with an Apache Kafka cluster simplifies the amount and complexity of the code you have to write for your stream processing system.

Unlike other stream processing systems, Kafka Streams frees you from having to worry about building and maintaining separate infrastructural dependencies alongside your Kafka clusters. However, you still need to worry about provisioning, orchestrating, and monitoring infrastructure for your Kafka Streams applications.

Heroku makes it easy for you to deploy, run, and scale your Kafka Streams applications by using supported...

Today we are pleased to announce a significant update to Heroku Connect, one that is a culmination of two years of work to improve every aspect of the service. We’ve focused on three primary areas: improving write speed, geographically expanding the service, and intelligently guiding design and troubleshooting workflows. To that end, we’ve enabled bulk writes resulting in a 5x average increase in sync performance to Salesforce, deployed Connect in six global regions to be closer to customers’ databases, and built three guided management experiences that significantly increase user productivity.

Collectively, these enhancements will enable Heroku Connect to continue to meet the ever...

Event-driven architectures are on the rise, in response to fast-moving data and constellations of inter-connected systems. In order to support this trend, last year we released Apache Kafka on Heroku - a gracefully integrated, fully managed, and carefully optimized element of Heroku's platform that is the culmination of years of experience of running many hundreds of Kafka clusters in production and contributing code to the Kafka ecosystem.

Today, we are excited to announce additional plans and pricing in our Kafka offering in order to make Apache Kafka more accessible, and to better support development, testing, and low volume production needs.

Many of the compelling and engaging application experiences we enjoy every day are powered by event-based systems; requesting a ride and watching its progress, communicating with a friend or large group in real time, or connecting our increasingly intelligent devices to our phones and each other. Behind the scenes, similar architectures let developers connect separate services into single systems, or process huge data streams to generate real-time insights. Together, these event-driven architectures and systems are quickly becoming a powerful complement to the relational database and app server models that have been at the core of Internet applications for over twenty years.

At Heroku, we...

Today we’re announcing that the APIs for the Heroku Connect data synchronization service are now GA. These fully supported endpoints will help our users with the tasks they most need repeatable automation for: creating consistent configuration across development, staging, and production environments; managing connections across multiple Salesforce deployments; and integrating Heroku Connect status with their existing operational systems and alerts.

When we first released Heroku Connect, users were delighted with the simple point and click UI: they could suddenly integrate Salesforce data with Heroku Postgres in one enjoyable minute! But as users’ familiarity with the service has grown...

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