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Heroku Blog

An Update on Heroku

Today, Heroku is transitioning to a sustaining engineering model focused on stability, security, reliability, and support. Heroku remains an actively supported, production-ready platform, with an emphasis on maintaining quality and operational excellence rather than introducing new features. We know changes like this can raise questions, and we want to be clear about what this means for customers.

There is no change for customers using Heroku today. Customers who pay via credit card in the Heroku dashboard—both existing and new—can continue to use Heroku with no changes to pricing, billing, service, or day-to-day usage. Core platform functionality, including applications, pipelines, teams, …

Building AI Search on Heroku

If you’ve built a RAG (Retrieval Augmented Generation) system, you’ve probably hit this wall: your vector search returns 20 documents that are semantically similar to the query, but half of them don’t actually answer it.

A user asks “how do I handle authentication errors?” and gets back documentation about authentication, errors, and error handling in embedding space, but only one or two are actually useful.

This is the gap between demo and production. Most tutorials stop at vector search. This reference architecture shows what comes next. This AI Search reference app shows you how to build a production grade enterprise …

Optimize Search Precision with Reranking on Heroku AI

Today, we are announcing the general availability of reranking models on Heroku Managed Inference and Agents, featuring support for Cohere Rerank 3.5 and Amazon Rerank 1.0.

Semantic reranking models score documents based on their relevance to a specific query. Unlike keyword search or vector similarity, rerank models understand nuanced semantic relationships to identify the most relevant documents for a given question. Reranking acts as your RAG pipeline’s high-fidelity filter, decreasing noise and token costs by identifying which documents best answer the specific query.

Heroku AI: Accelerating AI Development With New Models, Performance Improvements, and Messages API

This month marks significant expansion for Heroku Managed Inference and Agents, directly accelerating our AI PaaS framework. We’re announcing a substantial addition to our model catalog, providing access to leading proprietary AI models such as Claude Opus 4.5, Nova 2, and open-weight models such as Kimi K2 thinking, MiniMax M2, and Qwen3. These resources are fully managed, secure, and accessible via a single CLI command. We have also refreshed aistudio.heroku.com, please navigate to aistudio.heroku.com from your Managed Inference and Agents add-on to access the models you have provisioned.

Whether you are building complex reasoning agents or high-performance consumer …

Heroku AppLink: Now Using JWT-Based Authorization for Salesforce

Modern Continuous Integration/Continuous Deployment (CI/CD) pipelines demand machine-to-machine authorization, but traditional web-based flow requires manual steps and often rely on static credentials; a major security risk. Heroku AppLink now uses JWT Authorization to solve both: enabling automated setup and eliminating long-lived secrets.

Heroku GitHub Enterprise Integration: Unlocking Full Continuous Delivery for Enterprise Customers

We’re excited to announce a significant enhancement to how Heroku Enterprise customers connect their deployment pipelines to GitHub Enterprise Server (GHES) and GitHub Enterprise Cloud (GHEC). The new Heroku GitHub Enterprise Integration is now available in a closed pilot, offering a more secure, robust, and permanent connection between your code repositories and your Heroku apps.

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