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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 …

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 …

Optimizing Enterprise Operations with Heroku’s Advanced Logging Features

Logging is the unsung hero of enterprise operations—quietly saving the day, one log line at a time. Imagine trying to maintain successful applications without knowing what’s happening inside them. This would be like flying a plane blindfolded at night, in a storm, with no instruments. Spoiler alert: Neither scenario would end well!

Today’s distributed systems are massively complex. To develop and maintain them properly, your ability to capture, analyze, and act on log data becomes …

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 …

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?

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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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