Search Results for "event processing"

Riemann aggregates events from your servers and applications with a powerful stream processing language. Send an email for every exception in your app. Track the latency distribution of your web app. See the top processes on any host, by memory and CPU. Combine statistics from every Riak node in your cluster and forward to Graphite. Track user activity from second to second. Riemann streams are just functions which accept an event.

...Small memory footprint; ~2.5 million actors per GB of heap. Distributed systems without single points of failure. 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.

Zappa makes it super easy to build and deploy server-less, event-driven Python applications (including, but not limited to, WSGI web apps) on AWS Lambda + API Gateway. Think of it as "serverless" web hosting for your Python apps. 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.

*** This project moved to Github *** https://github.com/phaag/nfdump However, you may want to download older versions from here. nfdump is a set of tools to collect and process netflow data. It's fast and has a powerful filter pcap like syntax. It supports netflow versions v1, v5, v7, v9 and IPFIX as well as a limited set of sflow. It includes support for CISCO ASA (NSEL) and CISCO NAT (NEL) devices, which export event logging records as v9 flows. nfdump is fully IPv6 compatible.

Aware is a high performance distributed event processing framework built for systems management/monitoring. See http://www.elegant-software.com for more info.

Simplified Event Processing Language (SEPL) is a language designed for the simple definition and execution of event processing rules.