Microsoft has added support for Python 3.14 to Azure App Service for Linux, enabling developers to build and deploy applications with the latest version. Released on October 7, Python 3.14 brings performance enhancements and improved concurrency features. This update allows developers to focus on coding while Azure handles runtime management.
Microsoft announced the availability of Python 3.14 on Azure App Service for Linux, a move that lets developers create new applications using this version directly through the Azure portal. Deployments can also be automated via the Azure CLI or with ARM and Bicep templates. The service manages the operating system, runtime updates, and security patches, freeing developers to concentrate on their code.
Python 3.14, released on October 7, introduces significant performance and runtime improvements. The interpreter now processes common call paths more efficiently and optimizes memory usage, leading to lower latency and reduced CPU consumption. This benefits high-throughput web applications and APIs, which experience faster execution and better handling under load.
Concurrency in Python 3.14 has been enhanced through expanded subinterpreters and free-threaded builds, which eliminate the Global Interpreter Lock for many workloads. As a result, multi-core parallelism becomes easier to implement, and CPU-bound tasks run more efficiently, offering substantially better multi-threaded performance than previous versions.
The release also improves the developer experience with a more helpful interactive REPL, cleaner type annotations, and a new template string syntax called “t-strings.” These changes make coding safer, more structured, and less prone to errors, allowing developers to write and test code more quickly.
Existing Azure App Service users are encouraged to test Python 3.14 in a staging environment or deployment slot. They should evaluate request latency, CPU and memory usage, and compatibility with native wheels or pinned dependencies. Most applications will need only minor adjustments to leverage the faster, more capable runtime.