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Product Features

Heroku Support for .NET 10 LTS: What Developers Need to Know

It’s that time of year for .NET when we get a new major version and a bunch of exciting features. .NET Conf 2025 kicked off earlier today, bringing with it the release of .NET 10, as well as ASP.NET Core 10, C# 14, and F# 10. Congrats (and a big thank you) to the .NET team and everyone who helped get .NET 10 out the door.

At Heroku, we believe you should be able to use language and framework releases when they launch, and we prepare accordingly. You can now build and run .NET 10 apps on Heroku, …

Introducing the Next Generation of Heroku Postgres – Unlocking Performance, Scale, and Zero-Friction Ops

We are thrilled to announce the next generation of Heroku Postgres to power a data foundation for the next wave of intelligent and mission-critical applications. This roadmap has been driven by listening closely to our customers, culminating in the introduction of a new Heroku Postgres Advanced tier. This revolutionary data foundation is designed to eliminate previous scaling limits, unlock unprecedented architectural flexibility and performance, and reduce operational friction. As the AI PaaS from Salesforce, Heroku is the force multiplier for developers building this future with an integrated platform with powerful capabilities made simple to use - removing friction along the software delivery lifecycle. We invite you to sign up for the pilot.

Welcome to Heroku Vibes

Introducing the pilot of Heroku Vibes, your collaborative agent for turning ideas into running apps.

For those who have been with us on this journey for a while, the name “Heroku Garden” might stir up a bit of nostalgia. It was the web experience that enabled developers to become immediately productive in creating and deploying Rails applications with a turnkey, opinionated environment, with the goal of making software easier and more accessible. That seed of an idea that would grow into the platform powering millions of mission-critical apps. We’re thrilled to announce the pilot of Heroku Vibes, a reimagining …

Heroku AI Studio is Your Workspace for Smarter, Faster AI Apps

Ever found yourself in the endless loop of tweaking a prompt, running your code, and waiting to see if you finally got the output you wanted? That slow, frustrating feedback cycle is a common headache for AI developers. What if you could speed that up and get back to what you do best? Let’s focus on building amazing applications.

We're excited to introduce Heroku AI Studio, a new set of tools designed to streamline your generative AI development from prompt to production. We've focused on creating a more intuitive and efficient workflow, so you can focus on innovation instead of wrestling with your development environment. When using the Heroku Managed Inference and Agents add-on, this new tool is about to become an essential part of your workflow.

Amazon Nova Models: Now Available on Heroku

Building intelligent applications requires powerful, cost-effective AI. Today, we’re simplifying that process by making Amazon’s cutting-edge Nova models directly available via Heroku Managed Inference and Agents. Provisioning these models is as simple as attaching the add-on to your Heroku application, providing a direct, managed path for developers and businesses to leverage a new class of powerful and cost-effective AI models with unparalleled simplicity.

Building Data-Aware AI Applications with Heroku AI and LlamaIndex

Building AI applications that can interact with private data is a common goal for many organizations. The challenge often lies in connecting large language models (LLMs) with proprietary datasets. A combination of Heroku Managed Inference and Agents and LlamaIndex provides an elegant stack for this purpose.

This post explores how to use these tools to build retrieval-augmented generation (RAG) applications. We’ll cover the technical components, Use Cases and the development process, and how to get started.

Building Agents With Heroku AI and Pydantic AI

Building production-grade AI applications can be complex, but with Heroku and Pydantic AI, developers gain a powerful and reliable solution for integrating advanced AI capabilities. Heroku makes it easy to integrate AI into your applications with Heroku Managed Inference and Agents. With a single click, you can attach powerful Large Language Models like Anthropic’s Claude 4 Sonnet to your apps. Heroku AI also provides built-in tools like secure code execution and an OpenAI-compatible API that you can drop directly into popular frameworks and SDKs.

Deploying a Simple Go/Gin Application on Heroku

The speed and efficiency of the Go programming language make it popular for backend development. Combine Go with the Gin framework—which offers a fast and minimalistic approach to building web applications—and developers can easily create high-performance APIs and web services. Whether you’re working on a personal project or building a production-ready application, Go and Gin make for an attractive stack perfectly suited for lightweight, scalable web development.

Creating a Go/Gin application might seem straightforward: You write a few routes, connect a database, and spin up a local server. But when it comes to deploying your app, things can get …

Heroku AI: Build and Deploy Enterprise Grade MCP Servers

Agents hold immense power, but their true potential shines when they connect to the real world, fetching data, triggering actions, or leveraging external tools. The Model Context Protocol (MCP) offers a standardized way for AI agents to do this.

MCP is an open protocol that standardizes how applications provide context to LLMs. Think of MCP like a USB-C port for AI applications. Just as USB-C provides a standardized way to connect your devices to various peripherals and accessories, MCP provides a standardized way to connect AI models to different data sources and tools.

– official MCP website

Heroku Managed Inference …

How to Add the Moesif API Observability Add-On to Your Heroku Applications

With API-driven applications being increasingly common, understanding how your APIs are performing is crucial for success. That’s where the combination of Heroku and Moesif allows developers and their organizations to step up their observability game. In this blog, we will quickly examine how you can integrate Moesif with your Heroku app to begin monetizing and analyzing your API traffic. Let’s kick things off by taking a brief look at both platforms.

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