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Local Speed, Smooth Deploys: Heroku Adds Support for uv

Ah, another day, another deep dive into the ever-evolving world of Python development! Today, let’s talk about something near and dear to every Pythonista’s heart – managing those crucial external packages. For years, pip has been our trusty companion, the workhorse that gets the job done. But the landscape is shifting, and a new contender has entered the arena, promising speed, efficiency, and a fresh approach: uv .

As a Python developer constantly striving for smoother workflows and faster iterations, the buzz around uv has definitely caught my attention. So, let’s roll up our sleeves and explore the benefits…

OpenTelemetry Basics on Heroku Fir

Heroku recently made the next generation platform – Fir – generally available. Fir builds on the strengths of the Cedar generation while introducing a new modern era of developer experience. Fir leverages modern cloud-native technologies to provide a seamless and performant platform.

One of the goals we set out to achieve with Fir is to modernize our platform’s observability architecture. Applications being written today are becoming increasingly more distributed and complex in nature. With this increase in complexity, the need for good observability becomes critical. With solid observability practices in place, it becomes possible to gain deep insights into the internal…

SignalR Scalability: Scaling Real-Time SignalR Applications on Heroku

SignalR makes it easy to add real-time functionality to .NET web applications—things like live chat, instant notifications, or interactive dashboards. But what happens when your app starts to grow? A single server can only take you so far. At some point, you’ll need to take advantage of SignalR scaling features to scale out your app.
In this post, we’ll walk through what it takes to scale a SignalR app to run across multiple servers. We’ll start with the basics, then show you how to use Redis as a SignalR backplane and enable sticky sessions to keep WebSocket connections stable. And we’ll…

Heroku AI: Managed Inference and Agents is now Generally Available

Many of the most exciting experiences we’re beginning to rely on every day are powered by AI; whether it’s conversational assistants, personalized recommendations or code generation, these experiences are powered by inference systems and intelligent agents. Behind the scenes, developers offload complex decisions, automate tasks, and compose intelligent applications using large language models and tool execution flows. Together, these AI-powered primitives are becoming a key complement to traditional application development, enabling a new wave of developer capabilities.

At Salesforce, we are helping our customers bring their agentic strategy to life with Heroku, Agentforce , and Data Cloud . These powerful products…

How I Improved My Productivity with Cursor and the Heroku MCP Server

Generative AI has been one incredible tool to improve my productivity not only for work but for personal projects too. I use it every day, from generating stories and images for my online role playing games to solving code and engineering problems and building awesome demos. Lately I’ve leaned into Cursor as my go‑to AI coding companion. Its inline suggestions and quick edits keep me moving without context‑switching. Connecting Cursor to my apps through the Heroku MCP Server lets me perform actions like deploying or scaling, without leaving my code editor, making AI a first class citizen in the Heroku…

Introducing Heroku-Streamlit: Seamless Data Visualization

We’re excited to announce the release of Heroku-Streamlit, a template that makes deploying interactive data visualization applications on Heroku simpler than ever before. Streamlit is an open-source app framework built for machine learning and data science projects. This Streamlit App brings together Heroku’s scalable cloud platform and Streamlit’s intuitive Python-based data application framework. Whether you’re a data scientist, educator, or developer, you can now spin up a cloud-based Streamlit environment in minutes.

What is Heroku-Streamlit?

Heroku-Streamlit is a ready-to-deploy template that allows data scientists, analysts, and developers to quickly share their data insights through interactive web applications. With minimal configuration,…

Introducing the Official Heroku MCP Server

We’re excited to announce the launch of the Heroku MCP Server , designed to bridge the gap between agent-driven development and Heroku’s AI PaaS. Having defined the platform experience for apps in the cloud, Heroku extends our developer and operator experience to AI capabilities. With the Heroku MCP Server, you can now expose Heroku’s robust platform capabilities as a set of intuitive actions accessible to AI agents through Model Context Protocol (MCP) .

The Heroku MCP server enables AI-powered applications like Claude Desktop, Cursor, and Windsurf to directly interface with Heroku, unlocking new levels of automation, efficiency, and intelligence…

Migrating Your Ruby Apps to the Latest Stack

Do you run Rails or pure Ruby applications on Heroku? If so, it’s important to be aware of upcoming end-of-life (EOL) dates for both your stack and your Ruby version. The Heroku-20 stack, built on Ubuntu 20.04 LTS, will reach EOL for standard support in April 2025. Ruby 2.7 has already passed its EOL, meaning it’s no longer receiving critical security updates. Continuing to run your app with either an outdated Ruby version or an unsupported Heroku stack exposes your application to increasing security and stability risks.

In this article, we’ll cover:

What the Heroku-20 EOL means for your application.
Risks of continuing…

Heroku Fir: Dive into the New Platform Capabilities

For years, Heroku has been empowering developers to deploy and scale their applications with ease. Now, we’re thrilled to introduce the general availability of the next generation of the Heroku platform, codenamed Fir , launching later this month April 2025. Built on open source standards and cloud-native technologies, Fir accelerates your development like never before.

A change of this scale is not something that we take lightly. Replatforming decisions can represent a massive shift in user experience and operational processes for a single company; we need to consider the needs of the millions of apps for the thousands of companies running…

Jupyter Notebooks on Heroku with Persistent Storage

We’re excited to introduce Heroku-Jupyter , an open-source, production-ready solution for running Jupyter Notebooks on Heroku with persistent storage, seamless deployment, and built-in security. Whether you’re a data scientist, educator, or developer, you can now spin up a cloud-based Jupyter environment in minutes.

Why Jupyter on Heroku?

Jupyter Notebooks provide an interactive computing environment ideal for data analysis, visualization, and machine learning. However, cloud-based Jupyter deployments often face challenges like ephemeral storage and complex server configurations. Heroku-Jupyter solves these issues by providing a streamlined cloud-based experience.

Persistent Storage for reliable, up-to-date models

Reliable Data Management…

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