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Expanded Memory and Compute with Heroku’s New Larger Dynos

Introduction Heroku is excited to introduce nine new dyno types to our fleets and product offerings. In 2014, we introduced Performance-tier dynos, giving our customers fully dedicated resources to run their most compute-intensive workloads. Now in 2024, today's standards are rapidly increasing as complex applications and growing data volumes consume more memory and carry heavier CPU loads. With these additional dyno types, we’re excited to enable new use cases on Heroku with enhanced compute and memory specifications. Some use case examples include real-time processing against big data/real-time analytics, large in-memory cache applications such as Apache Spark or Hadoop processing, online…

Heroku Data in Salesforce Functions

We launched Salesforce Functions last fall and the response so far has been terrific. While the most obvious use cases for functions are stateless processing of data, there are many examples of business processes that can take advantage of the simplified operating model of functions, but require some persistent state to span function invocations. Today, we’re happy to tell you that we’ve added a new feature that enables stateful function invocation using Heroku Data products. It’s a simple feature that lets your functions securely access Heroku Data products, including Heroku Postgres, Heroku Kafka, and Heroku Redis directly from your function.…

Heroku Streaming Data Connectors Are Now Generally Available

This summer, we announced the beta release of our new streaming data connectors between Heroku Postgres and Apache Kafka on Heroku. These connectors make Change Data Capture (CDC) possible on Heroku with minimal effort. Anyone with a Private or Shield Space, as well as a Postgres and an Apache Kafka add-on in that space, can use Streaming Data Connectors today at no additional charge. Customers use connectors to build streaming data pipelines between Salesforce and external stores like a Snowflake data lake or an AWS Kinesis queue for integration with other data sources. They also refactor monoliths into microservices, implement…

Introducing the Streaming Data Connectors Beta: Capture Heroku Postgres Changes in Apache Kafka on Heroku

Today we are announcing a beta release of our new streaming data connector between Heroku Postgres and Apache Kafka on Heroku. Heroku runs millions of Postgres services and tens of thousands of Apache Kafka services, and we increasingly see developers choosing to start with Apache Kafka as the foundation of their data architecture. But for those who are Postgres-first, it is challenging to adopt without a full app rewrite. Developers want a seamless integration between the two services, and we are delivering it today, at no additional charge, for Heroku Private Spaces and Shield Spaces customers. Moving beyond Postgres and…

Heroku Shield for Redis Is Now Generally Available

We are thrilled to announce that Heroku Shield for Redis is now generally available and certified for handling PHI, PII, and HIPAA-compliant data. Heroku Shield for Redis is the final missing data service for Heroku Shield, which is an integrated set of Heroku services with additional security features needed for building high compliance applications. All Heroku Managed Data Services — Heroku Connect, Heroku Data for Redis, Heroku Postgres, and Apache Kafka on Heroku — are now fully certified for handling PHI, PII, and HIPAA-compliant data as part of Heroku Shield. Security and compliance come standard with Heroku Shield, so developers…

Apache Kafka on Heroku Shield is Now Generally Available

We are thrilled to announce that Apache Kafka on Heroku Shield is now generally available and certified for handling PHI, PII, and HIPAA-compliant data. Our newest managed data service unifies Heroku Shield, a set of Heroku platform services that offer additional security features needed for building high compliance applications, with Apache Kafka on Heroku, our fully-managed service based on the leading open-source solution for handling event streams. Organizations of all sizes face relentless pressure to bring better apps and experiences to market, and those with a strong focus on data security like Health and Life Sciences (HLS) organizations need to…

Why Frequent Maintenances Are Essential for Secure Heroku Data Services

There are many reasons to choose Heroku Data services, but keeping the services you use secure and up-to-date rank near the top. This foundation of trust is the most important commitment we make to our customers, and frequent and timely maintenances are one way we deliver on this promise. We do everything we can to minimize downtime, which is typically between 10 – 60 seconds per maintenance. There are ways for you to minimize disruption too (see the tips and tricks below). The rest of the post explains how we think about Heroku Data maintenances, how we perform them, and…

Kafka Streams on Heroku

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 buildpacks…

Heroku Connect Update: Fast Writes, Global Deployment, and a Guided Management Experience

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…

Kafka Everywhere: New Plans and Pricing for Apache Kafka on Heroku

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.…

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