Search Results for "event processing"
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Showing 24 open source projects for "event processing"
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Riemann
A network event stream processing system, in Clojure
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. -
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fluentbit
Fast and Lightweight Logs and Metrics processor for Linux, BSD, OSX
Fluent Bit is a super-fast, lightweight, and highly scalable logging and metrics processor and forwarder. It is the preferred choice for cloud and containerized environments. A robust, lightweight, and portable architecture for high throughput with low CPU and memory usage from any data source to any destination. Proven across distributed cloud and container environments. Highly available with I/O handlers to store data for disaster recovery. Granular management of data parsing and routing.... -
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Akka
Build concurrent, distributed, and resilient message-driven apps
...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. -
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HStreamDB
HStreamDB is an open-source, cloud-native streaming database
...You can also replace message brokers with HStreamDB and everything you do with message brokers can be done better with HStreamDB. HStreamDB provides built-in support for event time-based stream processing. You can use your familiar SQL to perform basic filtering and transformation operations, statistics and aggregation based on multiple kinds of time windows and even joining between multiple streams. With connectors provided, you can easily integrate HStreamDB with other external systems, such as MQTT Broker, MySQL, Redis and ElasticSearch. ... -
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Hazelcast
Open-source distributed computation and storage platform
Hazelcast is a streaming and memory-first application platform for fast, stateful, data-intensive workloads on-premises, at the edge or as a fully managed cloud service. Hazelcast is a distributed computation and storage platform for consistently low-latency querying, aggregation and stateful computation against event streams and traditional data sources. It allows you to quickly build resource-efficient, real-time applications. You can deploy it at any scale from small edge devices to a large cluster of cloud instances. A cluster of Hazelcast nodes share both the data storage and computational load which can dynamically scale up and down. When you add new nodes to the cluster, the data is automatically rebalanced across the cluster and currently running computational tasks (known as jobs) snapshot their state and scale with processing guarantees. -
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Zappa - Serverless Python
Serverless Python
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. -
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memphis
Next-Generation Event Processing Platform
Memphis enables building modern queue-based applications that require large volumes of streamed and enriched data, modern protocols, zero ops, up to x9 faster development, up to x46 fewer costs, and significantly lower dev time for data-oriented developers and data engineers. Queues and brokers are a mission-critical component in the modern application architecture and should be highly available and stable as possible. Provide great performance while maintaining efficient resource... -
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Flower
Real-time monitor and web admin for Celery distributed task queue
...Flower also supports broker monitoring and integrates with authentication providers and Prometheus for metrics export, making it suitable for production environments. The tool communicates with Celery using event streams, allowing near real-time updates on asynchronous workloads. Because Celery is widely used in Python microservices and background job systems, Flower has become a standard companion utility for teams that need operational insight and control over distributed task processing. -
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kubernetes-event-exporter
Export Kubernetes events to multiple destinations with routing
This tool allows exporting the often missed Kubernetes events to various outputs so that they can be used for observability or alerting purposes. You won't believe what you are missing. Configuration is done via a YAML file, when run in Kubernetes, ConfigMap. The tool watches all the events and the user has to option to filter out some events, according to their properties. Critical events can be routed to alerting tools such as Opsgenie, or all events can be dumped to an Elasticsearch... -
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tech01
Multitasking ARMv7-R and ARMv7-A (Cortex-R, Cortex-A)
Goal: multitasking kernel from scratch Target board: TI LAUNCHXL2-RM46 -
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wrk
Modern HTTP benchmarking tool
wrk is a modern, command-line HTTP benchmarking tool engineered for high performance, capable of generating substantial load using a single multi-core CPU by leveraging multithreading and scalable event notification systems. An optional LuaJIT script can perform HTTP request generation, response processing, and custom reporting. Details are available in SCRIPTING and several examples are located in scripts. The machine running wrk must have a sufficient number of ephemeral ports available and closed sockets should be recycled quickly. ... -
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EventMachine
EventMachine, fast, simple event-processing library for Ruby programs
EventMachine is an event-driven I/O and lightweight concurrency library for Ruby. It provides event-driven I/O using the Reactor pattern, much like JBoss Netty, Apache MINA, Python's Twisted, Node.js, libevent and libev. Extremely high scalability, performance and stability for the most demanding production environments. An API that eliminates the complexities of high-performance threaded network programming, allowing engineers to concentrate on their application logic. This unique... -
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Open Event Machine
An event driven processing runtime for multicore
Deprecated - see new repository in GitHub instead: https://github.com/openeventmachine/em-odp Open Event Machine (OpenEM or EM) is an architectural abstraction and framework of an event driven multicore optimized processing concept originally developed for networking. It offers an easy programming concept for scalable and dynamically load balanced multicore data plane applications with a very low overhead run-to-completion principle. -
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NXLog
A multi-platform universal log collector and forwarder
NXLog is a modular, multi-threaded, high-performance log management solution with multi-platform support. In concept it is similar to syslog-ng or rsyslog but is not limited to unix/syslog only. It can collect logs from files in various formats, receive logs from the network remotely over UDP, TCP or TLS/SSL . It supports platform specific sources such as the Windows Eventlog, Linux kernel logs, Android logs, local syslog etc. Writing and reading logs to/from databases is also supported.... -
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Documentor
Windows Script Application with UI for Simple Documentation Generation
Using a version of Windows 2000 or later and requiring no add-ons or additional software components, you can document your Active Directory domain as quickly as the information can be gathered. -
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NFDUMP - Netflow processing tools
netflow collecting and processing tools
*** 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. -
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TeleScope
XML Data Stream Broker/Replicator
TeleScope is the efficient intensive-load XML data stream broker, replicator and simple event processing platform (SEP) written in C for the Fedora 17-18, Slackware 13-14, Red Hat Enterprise Linux 6 (RHEL-6) Linux distributions. The platform is intended to be operated upon the single number/word values and is not meant to be deployed for full-text XML stream analysis. TeleScope has internal query language with a set of standard logical operators that allows to construct relatively complex query expressions. ... -
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giServer
giServer the easy to use and extensible batch and integration server
The giServer is an easy-to-use integration server for process automation and event-driven or scheduled execution of batch jobs. Instead of using complex XML configuration files an elaborate GUI for batch job management is included. Some possible usage scenarios are: - Automatic processing of incoming data files - Big Data applications - Process automation - Data Mining/Aggregation applications - Automatic Reporting - Processing and analysis of database records -
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HOOPLE is a portable collection of C++ source code, featuring thread-safe objects for collections and event processing, RPC-style plugin-based encrypted networking (CROMP / octopus), bookmark collection management utilities, and a lot of other cool stuff. This is the project page for HOOPLE version 1, which was retired on September 25 2010. The code supposedly still builds on both Linux (with gnu gcc) and on Windows (with ms visual studio).
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The Open Pervasive Computing Environment facilitates the creation of distributed context-sensitive systems (inc. embedded). It provides a number of frameworks for creating complex event processing systems driving the development of ubiquitous technology.
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Aware is a high performance distributed event processing framework built for systems management/monitoring. See http://www.elegant-software.com for more info.
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A Java utility library oriented toward server or batch process developers. Contains support for assertion checking, command-line processing, and event dispatching/logging.
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Simplified Event Processing Language (SEPL) is a language designed for the simple definition and execution of event processing rules.
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StreamMine is a distributed event processing (streaming) infrastructure. You can create low-latency, fault-tolerant stream processing functionality with any stream-oriented operators that can be implemented in Python.
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