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Heroku Blog

Heroku AI Studio is Your Workspace for Smarter, Faster AI Apps

Ever found yourself in the endless loop of tweaking a prompt, running your code, and waiting to see if you finally got the output you wanted? That slow, frustrating feedback cycle is a common headache for AI developers. What if you could speed that up and get back to what you do best? Let’s focus on building amazing applications.

We're excited to introduce Heroku AI Studio, a new set of tools designed to streamline your generative AI development from prompt to production. We've focused on creating a more intuitive and efficient workflow, so you can focus on innovation instead of wrestling with your development environment. When using the Heroku Managed Inference and Agents add-on, this new tool is about to become an essential part of your workflow.

Securing Salesforce Integrations with Heroku AppLink

Salesforce customers often leverage third-party or custom services to extend their orgs, and they do so with two common options: Connected Apps and External Services. Connected Apps let third-party vendors or custom code call Salesforce APIs using long-lived OAuth tokens, while External Services call vendor APIs through declarative configurations with vendor-managed hosting, scaling, and endpoint security. While both approaches deliver functionality, the dynamic security threat landscape challenges us to continuously improve the risk and governance of our applications.

Heroku AppLink improves your security model and provides a managed bridge between Salesforce and Heroku, so developers or vendors can deploy services in any language and expose them as native Salesforce actions. Heroku AppLink automatically handles authentication, service discovery, and request validation while its service mesh and short-lived credentials mean that your integrations no longer depend on stored credentials or exposed endpoints. Development teams can reuse existing code and libraries instead of rewriting in Apex, admins get centralized visibility into connections and authorizations, and security teams gain tighter trust boundaries across both Connected App and External Service scenarios.

Triage and Fix with Confidence: heroku run and OTel on Heroku Fir

When Production Goes Sideways

Imagine this: It’s 2 AM, your phone buzzes with an alert, and your dashboards are screaming. Production is down. Sound familiar? An automated health check has failed, and your internal dashboards are showing a spike in errors. You’ve just pushed a new release that included a critical database schema change, and a background worker task that relies on it is now failing. The web application is still running, but users are starting to report issues. You need to investigate and fix the problem, but doing so on a running production dyno could be risky and…

Corrective Action Update for the Heroku June 10th Outage

Beginning at 06:00 UTC on Tuesday, Jun 10, 2025, Heroku customers began experiencing a platform service disruption due to an unintended system update applied to our production infrastructure by our vendor. To compound the issue, the Heroku Status site was affected by the outage. Shortcomings in site design and API latency resulted in timeouts, and the Status site appeared as if there were no active incidents.

On June 15th we published a summary of our initial investigation, mitigation, and root cause analysis. We also identified the following post-incident remediation objectives:

  • Ensuring immutable infrastructure
  • Increasing resilience of communication channels
  • Accelerating investigation and recovery

As promised, we are providing a status update of our continued corrective actions.

Discover How Heroku’s AI PaaS Delivers Real-World Results at Dreamforce

The AI revolution presents a critical challenge: moving from experimentation to production. This year, Heroku has evolved beyond a traditional PaaS to become an AI PaaS, a fully managed platform designed to solve this problem and accelerate the delivery of AI-powered apps. With new capabilities like AppLink, Managed Inference and Agents, and MCP on Heroku, Heroku now provides a fully managed platform designed for the AI era.

This evolution accelerates the delivery of AI-powered apps and intelligent agents, bringing a new level of speed and simplicity to your development process. Dreamforce 2025 is your chance to see firsthand how the Heroku AI PaaS is delivering business value faster and with less complexity.

Amazon Nova Models: Now Available on Heroku

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.

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