Search Results for "processing"

...Load balancing and adaptive routing across nodes. Event Sourcing and CQRS with Cluster Sharding. Distributed Data for eventual consistency using CRDTs. Asynchronous non-blocking stream processing with backpressure.

...That means infinite scaling, zero downtime, zero maintenance - and at a fraction of the cost of your current deployments! With a traditional HTTP server, the server is online 24/7, processing requests one by one as they come in. If the queue of incoming requests grows too large, some requests will time out. With Zappa, each request is given its own virtual HTTP "server" by Amazon API Gateway. AWS handles the horizontal scaling automatically, so no requests ever time out. Each request then calls your application from a memory cache in AWS Lambda and returns the response via Python's WSGI interface. ...

...It is intended to be used as a server. It is extremely configurable and supports a wide variety of signing and encryption algorithms. Supports very high traffic volume allowing parallel processing of files per partner. SUPPORT: Please use the Github issues and Discussions channels here: https://github.com/OpenAS2/OpenAs2App/ Requirements: - Java 11 or newer (tested with the LTS versions of Java up to 21) - Any OS that runs Java Planned enhancements in the next major release: - User interace configuration GUI - Certificate Exchange Management IMPORTANT: Java 8 is no longer supported.

IPTV/Video cloud Features: Cross-platform (Linux, MacOSX, FreeBSD, Raspbian/Armbian) GPU/CPU Encode/Decode/Post Processing Stream statistics CCTV Adaptive hls streams Load balancing Temporary urls HLS push EPG scanning Subtitles to text conversions AD insertion Logo overlay Video effects Relays Timeshifts Catchups Playlists Restream/Transcode from online streaming services like Youtube, Twitch Mozaic Many Outputs Physical Inputs Streaming Protocols File Formats Presets Vods/Series server-side support Pay per view channels Channels on demand HTTP Live Streaming (HLS) server-side support Public API, client server communication via JSON RPC Protocol gzip compression Deep learning video analysis Supported deep learning frameworks: Tensorflow NCSDK Caffe ML Hardware:

DOClever is a commercial open-source product that is completely free. Whether you are a front-end engineer or a back-end engineer, the interface is always the bridge for the interaction between the two, so DOClever is specially designed for small and medium-sized teams, aiming to solve interface management, testing and data generation, and achieve a truly integrated solution plan. Can edit and manage interface information, support five methods of getting, post, put, delete, patch, support...

...One potential use is for creating a "farm" of servers that does media processing/encoding/transcoding in parallel, across many server nodes.

...Sometimes we have super-linear speedup with a small set of hardware. With a splitting of problems, parallel computing and distributing the actual best solution to all running processes we solve CBP much faster than a sequential processing can do.