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Engineering

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.

Start building with OpenAI’s new open-weight model, gpt-oss-120b, now available on Heroku Managed Inference and Agents . This gives developers a powerful, transparent, and flexible way to build and deploy AI applications on the platform they already trust. Access gpt-oss-120b with our OpenAI-compatible chat completions API , which you can drop into any OpenAI-compatible SDK or framework.

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.

This blog series has taken you on a journey through the world of AppLink, from its foundational concepts and core components in Heroku AppLink: Extend Salesforce with Any Programming Language , to a deep dive into its key integration patterns in AppLink Fundamentals I: AppLink Integration Patterns – Connecting Salesforce to Heroku Applications , and then we explored advanced integrations with Data Cloud, automation, and AI in AppLink Fundamentals II: Advanced AppLink Integrations – Automation & AI . Now, in this final installment, we turn our attention to the practical aspects of building with AppLink, focusing on the development workflow,…

In our previous posts, we introduced Heroku AppLink and explored its foundational integration patterns for connecting Heroku applications with Salesforce. Now, we’ll delve into how AppLink truly expands Salesforce capabilities, focusing on advanced integrations with Data Cloud, Flow, Apex, and Agentforce. This blog will highlight how AppLink empowers you to infuse your Salesforce orgs with powerful external logic, real-time data processing, and intelligent automation.

In our previous post , we introduced AppLink as a powerful new way to extend Salesforce with any programming language at any scale, detailing its core components and overarching benefits. Now, we’ll dive deeper into the practical application of AppLink by exploring its primary integration patterns. Understanding these patterns is key to leveraging AppLink effectively, as they dictate how your Heroku applications interact with and enhance your Salesforce orgs.

The Salesforce platform offers a powerful array of tools for customization and building customer-centric experiences, from no-code automation with Flow, Prompt Builder, and Agent Builder, to robust Apex and Lightning Web Components. The art lies in choosing the right blend of these tools to achieve agility, optimize skill sets, and quickly adapt to business demands. Today, we’re introducing a new ingredient to this powerful mix: Heroku + AppLink.

Modern cloud-native architectures are composed of multiple microservices running across dynamic environments. Effectively diagnosing performance issues, bottlenecks, or failures requires comprehensive observability. For this, many organizations look to OpenTelemetry, which provides a standardized approach to capturing and analyzing telemetry data. Fir is Heroku’s next generation cloud platform , designed to offer more modern cloud-native capabilities with flexibility and scalability. It’s built on proven, open-source technologies. Traditional Heroku relied on proprietary technologies, which was appropriate at the time because high-quality open-source alternatives didn’t exist. But now, technologies like Kubernetes and OpenTelemetry are considered best-in-class solutions that are widely deployed and supported…

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…

If you’ve ever deployed an app on Heroku, chances are you’ve used Heroku Postgres — our fully managed, reliable, and scalable Postgres database service. It’s the backbone for millions of applications, from weekend side projects to enterprise-grade systems running in production.

But Postgres, like all software, continues to evolve. With new versions released each year, you gain access to performance enhancements, critical security updates, and powerful new features. Keeping your database up to date isn’t just good practice — it’s essential for long-term stability and success.

That’s why we’re thrilled to share that Postgres 17 is now available on Heroku . And…

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