Search Results for "server performance"

code-server converts VS Code, the world’s most popular IDE, into a cloud IDE. This means you can essentially code on any device you choose with a consistent dev environment. With the entire dev environment running in large cloud servers, you can take advantage of faster speeds when running tests, builds, downloads and more. You also preserve battery life when you’re on the go since all intensive computation runs on your server.

The AWS SDK for C++ is a modern, open-source library offering C++ applications native access to AWS services like S3, DynamoDB, Kinesis and more. It is built to support C++11 (and later) and is designed to be high-performance with minimal external dependencies, making it suitable for game engines, embedded systems, cross-platform clients and server applications. The SDK provides both high-level APIs (for common use) and low-level service client access (for full control) so developers can mix convenience and fine-tuned behavior as needed. It supports major platforms including Windows, macOS, and Linux, and uses CMake for builds so you can include only the services your application needs, helping reduce binary size and surface attack area. ...

...The framework integrates naturally with existing DevOps ecosystems and allows users to create highly customizable deployment logic using native Python syntax. Its architecture combines infrastructure-as-code concepts with efficient remote execution, making it suitable for modern cloud and server automation workflows.

...This project is a better version of the serverless plugin which focuses on addressing core issues like next 9 support, better development experience, the 200 CloudFormation resource limit and performance. Users of this component should be able to use Next.js development tooling, aka next dev. It is the component's job to deploy your application ensuring parity with all of next's features we know and love. We try to emulate all or most of the routing and server-side logic from Next.js.

Seldon Server is a machine learning platform and recommendation engine built on Kubernetes. Seldon reduces time-to-value so models can get to work faster. Scale with confidence and minimize risk through interpretable results and transparent model performance. Seldon Core focuses purely on deploying a wide range of ML models on Kubernetes, allowing complex runtime serving graphs to be managed in production.