Heroku's Sustaining Model Shift Creates Migration Opportunities to Azure's Modern Platform

On February 6, 2026, Heroku announced it is moving to a sustaining engineering model focused on stability, security, reliability, and ongoing support. This strategic shift has prompted many customers to reassess how their application platforms will support today's workloads and future innovation.

Microsoft is committed to helping customers migrate and modernize applications from platforms like Heroku to Azure. The transition represents more than just a change of infrastructure—it's an opportunity to embrace modern cloud-native and AI-native architectures while maintaining operational continuity.

Comprehensive Application Platform

Azure offers a cloud-native application platform for web apps, APIs, event-driven systems, serverless, containers, and AI Apps that is developer friendly, backed by a global infrastructure and extensive enterprise experience. Azure supports millions of applications on a global scale across industries.

Azure Container Apps enables teams to run serverless, containerized microservices with scale-to-zero, strong security, and event-driven execution without managing infrastructure. This service directly addresses the container-based workflows many Heroku customers have built.

Azure App Service is a fully managed platform as a service (PaaS) for web apps with built-in autoscaling, high availability, and security. Developers can start with familiar frameworks and runtimes across .NET, Java, Node.js, Python, docker containers and more.

These application services can help teams ship faster by offloading scaling, availability, and operations to the platform. Teams can gradually evolve toward microservices, background processing, and event-driven architectures with dapr and KEDA as needs grow.

Databases and State Management

PostgreSQL is foundational to many Heroku apps, and Azure Database for PostgreSQL is built on the same open-source engine for strong compatibility with existing schemas, extensions, and logic. It adds high availability, automated patching and backups, flexible scaling, and predictable performance—integrated with Azure networking, identity, and security.

GitHub Integration and Agentic DevOps

GitHub is central to many Heroku workflows. Azure offers native integration with GitHub and GitHub Copilot across the application lifecycle including a modernization agent for app modernization that in many scenarios can facilitate migration efforts.

With GitHub Copilot in developers' existing environments, teams can understand legacy code, refactor components, update dependencies, and align configurations with Azure services. Copilot can also help translate patterns like microservices, background jobs or scheduled tasks into deployments on Azure services such as Container Apps.

Azure's GitHub Actions integration supports automated build, test, and deployment pipelines. Together, GitHub and Azure can help teams migrate—often with less manual work and risk.

Monitoring, Reliability, and Operations

Azure makes observability a first-class capability with Azure Monitor and AI-assisted diagnostics integrated into application services, providing support for production-grade monitoring and troubleshooting as applications grow in complexity.

Azure SRE Agent helps organizations improve uptime, reduce incident impact, and cut operational toil by accelerating diagnosis and automating response workflows.

Comprehensive AI Platform for Models, Agents and Tools

As customers look to embed intelligence into core applications, teams need more than AI model access. They need secure, operational tooling for building and running AI features that support customer configuration and governance requirements.

Microsoft Foundry unifies leading AI models, agent frameworks, orchestration, and built-in evaluation, monitoring, tracing, and governance. Teams can choose from over 11,000+ models, including Foundation Models, Reasoning Models, Small Language Models, from providers such as OpenAI, Anthropic, Meta, Hugging Face, Microsoft and more.

These models can be integrated into apps running on Azure services like Azure Container Apps while meeting enterprise requirements for security, compliance, and reliability. With Foundry, Azure also supports agentic application patterns with support for tool calling with Model Context Protocol (MCP), event-driven workflows, and secure sandboxed execution.

For Heroku customers planning what's next, these capabilities could help to create a path from AI experimentation to production on a cohesive platform built for cloud-native and AI-native architectures.

Path Forward

Heroku's move to a sustaining engineering model is a good moment for technical leaders to review long-term application strategy. Azure supports cloud-native and AI-native architectures while giving organizations flexibility to move at their own pace.

Some customers might start by modernizing individual services on Azure Container Apps or Azure App Service while running existing apps in parallel. Others might begin with AI-native or event-driven scenarios, using Microsoft Foundry alongside Azure application services.

GitHub Copilot and agent-assisted tooling can support application modernization goals by creating developer workflows that can reduce manual effort. With Microsoft's architecture guidance, migration tooling, and partners, teams can modernize steadily using tools and frameworks that can drive expanded innovation capacity.

Azure combines global infrastructure, enterprise-grade security, and an AI-ready platform for organizations to build, run, and modernize applications with confidence.

Getting Started

Learn how customers are building modern AI Apps on Azure

Modernize your applications faster with GitHub Copilot

Build, deploy and scale microservices with Azure Container Apps

Build, deploy and scale web apps globally with Azure App Service

Run PostgreSQL at enterprise scale on Azure

This transition represents a strategic opportunity for Heroku customers to not just migrate, but to modernize their applications on a platform that's ready for both today's cloud-native requirements and tomorrow's AI-native innovations.