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Heroku and GitHub Enterprise Server: Stronger Security, Seamless Delivery

Today, we are thrilled to announce the General Availability (GA) of the Heroku GitHub Enterprise Server Integration.

For our Enterprise customers, the bridge between code and production must be more than just convenient. It must be resilient, secure, and governed at scale. While our legacy OAuth integration served us well, the modern security landscape demands a shift away from personal credentials toward managed service identities.

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.

Faster Agents with Automatic Prompt Caching

Heroku is launching automatic prompt caching starting December 18, 2025. Prompt caching delivers a notable, zero-effort performance increase for Heroku Managed Inference and Agents. Enabled by default, this feature is designed to deliver significantly faster responses for common workloads. We have taken a pragmatic approach and currently only enabled this to cache system prompts and tool definition, and not user messages or conversation history. You can disable caching for any request by setting X-Heroku-Prompt-Caching: false.

Unleash the Power of IaC on Heroku’s Next Generation: Terraform for Fir is Here!

We are thrilled to announce that the Heroku Terraform Provider is now fully optimized for Fir. This significant milestone allows developers to manage our next-generation platform using Infrastructure as Code (IaC).

Fir is built on a modern foundation of cloud-native, open-source standards (Kubernetes) while maintaining the legendary Heroku developer experience. By combining the declarative power of Terraform with the advanced capabilities of Fir, you can now manage your applications with unprecedented control, consistency, and scalability.

Incident Review: Intermittent Disruption and Degradation of Heroku Services on October 20, 2025

Beginning on October 20th, 2025 07:06 UTC, multiple Heroku services were initially impacted by a database service disruption with our cloud infrastructure provider in the Virginia region. This affected the monitoring, provisioning, networking and availability of cloud infrastructure services that power the Heroku platform.

This outage was a complex, multi-phased event primarily triggered by multiple upstream outages within the cloud infrastructure provider Virginia region, and compounded by Heroku's single-region control plane architecture and automation failures. The service disruptions can be divided into two distinct phases based on root causes, timeline, and impacts.

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