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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 essential. You need good logging for the critical insights to help you: Diagnose and troubleshoot issues Rightsize cloud resources Ensure security In this post, we’ll…

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…

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,…

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.

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…

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.…

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