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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 allow…

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…

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 for managing your…

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.…

Heroku: Powering the Next Wave of Apps with AI

In a short amount of time, AI has transformed life, work, and how we think about the future. These rapid advancements have left many of us wondering how to integrate AI into our existing workflows and what it means for the future of app development. The apps we’re building today are more than lines of code; they’re becoming dynamic, intelligent, and increasingly autonomous. To navigate this new landscape, we need to bring our current skills and technology into this AI-driven future. As part of the Salesforce portfolio, Heroku has always been a trusted platform for building apps in any language.…

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…

.NET on Heroku: Now Generally Available

It’s never been a more exciting time to be a .NET developer. With .NET (formerly known as .NET Core) approaching its 10-year anniversary this November, the platform has evolved into a powerful, cross-platform ecosystem, embracing modern development practices and powering a vast array of applications. Today, we’re thrilled to announce that .NET support on Heroku, previously in beta, is now Generally Available (GA), marking a significant milestone for .NET developers on our platform. We want to thank our beta users for their invaluable feedback, which has helped us to refine and enhance the .NET experience on Heroku. Key Benefits of…

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: Your notebooks are safely stored in…

Heroku AppLink Pilot: The Shortest Path to Bring Your Code to Agentforce

Developers love Heroku for its elegance and simplicity to easily build and deploy any type of app or service in the languages they love. This flexibility enables developers to build robust custom applications or specialized capabilities like agent actions, complex pricing calculations, or real-time transformations and processing. These are often capabilities where Salesforce Admins and Developers on Heroku come together to design and implement robust workflows and agents to support business processes. The process of bringing their custom apps on Heroku to their Salesforce implementations has historically been a complex and time-consuming process. To address this, we’ve introduced Heroku AppLink,…

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