a simple event pipe, make async easy to use.
An Event Pipe for node.js
minimal implementation of a PassThrough stream
Official Event Pipe CLI: webhook endpoints, TypeScript pipeline bundles (esbuild), deploy versions, live relay (listen/forward-to), Model Context Protocol for Cursor — same account as eventpipe.app
A node.js version of unix's `tail -f` command
A library to create a trace of your node app per Google's Trace Event format.
An iteration of the Node.js core streams with a series of improvements
create a pipeline of streams using Minipass
Use websockets with the node streams API. Works in browser and node, with all current WS versions
Run a lifecycle script for a package (descendant of npm-lifecycle)
The CDK Construct Library for Amazon EventBridge Pipes Targets
A Minipass stream that collects all the data into a single chunk
construct pipes of streams of events
The CDK Construct Library for Amazon EventBridge Pipes
Essential utils for promises
An implementation of WHATWG EventTarget interface.
Made to be used with [@elbwalker/walker.js](https://github.com/elbwalker/walker.js).
Fire events the same way the user does
A variant of RxJS exhaustMap that includes the trailing value emitted from the source observable while waiting for the inner observable to complete
Like JSONStream, but using Minipass streams
A Minipass stream that calls a flush function before emitting 'end'
A minimal event emitter.
Simple event emitter
pipe streams together and close all of them if one of them closes
This gem is a Logstash plugin required to be installed on top of the Logstash core pipeline using $LS_HOME/bin/logstash-plugin install gemname. This gem is not a stand-alone program
This gem is a Logstash plugin required to be installed on top of the Logstash core pipeline using $LS_HOME/bin/logstash-plugin install gemname. This gem is not a stand-alone program
Mingle 3.3 introduced a new Events API in the form of an "Atom feed":http://www.thoughtworks-studios.com/mingle/3.3/help/mingle_api_events.html. The Mingle team and ThoughtWorks Studios are big believers in the use of Atom for exposing events. Atom is a widely used standard, and this event API style puts the issue of robust event delivery in the hands of the consumer, where it belongs. In fact, we'd argue this is the only feasible means of robust, scalable event delivery, short of spending hundreds of thousands or millions of dollars on enterprise buses and such. Atom-delivered events are cheap, scalable, standards-based, and robust. However, we do accept that asking integrators wishing to consume events to implement polling is not ideal. Writing polling consumers can be tedious. And this tedium gets in the way of writing sweet Mingle integrations. We are addressing this by publishing libraries such as this, which if effective, fully hide the mechanics of event polling from the consumer. The consumer only need worry about the processing of events. Said processing is modeled in the style of 'pipes and filters.'
This gem is a Logstash plugin required to be installed on top of the Logstash core pipeline using $LS_HOME/bin/logstash-plugin install gemname. This gem is not a stand-alone program
winipc is a native extension that exposes Windows local inter-process communication through an ergonomic, safe-by-default Ruby API: duplex named pipes (byte and message mode, with a server and a connect-with-retry client), pagefile-backed shared memory via named file mappings, and named synchronization objects (mutex, event, semaphore). Pipe handles are opened for overlapped I/O so they cooperate with a fiber scheduler, and objects are created with a restrictive security descriptor by default. Windows MSVC (mswin) Ruby only.
Log2json lets you read, filter and send logs as JSON objects via Unix pipes. It is inspired by Logstash, and is meant to be compatible with it at the JSON event/record level so that it can easily work with Kibana. Reading logs is done via a shell script(eg, `tail`) running in its own process. You then configure(see the `syslog2json` or the `nginxlog2json` script for examples) and run your filters in Ruby using the `Log2Json` module and its contained helper classes. `Log2Json` reads from stdin the logs(one log record per line), parses the log lines into JSON records, and then serializes and writes the records to stdout, which then can be piped to another process for processing or sending it to somewhere else. Currently, Log2json ships with a `tail-log` script that can be run as the input process. It's the same as using the Linux `tail` utility with the `-v -F` options except that it also tracks the positions(as the numbers of lines read from the beginning of the files) in a few files in the file system so that if the input process is interrupted, it can continue reading from where it left off next time if the files had been followed. This feature is similar to the sincedb feature in Logstash's file input. Note: If you don't need the tracking feature(ie, you are fine with always tailling from the end of file with `-v -F -n0`), then you can just use the `tail` utility that comes with your Linux distribution.(Or more specifically, the `tail` from the GNU coreutils). Other versions of the `tail` utility may also work, but are not tested. The input protocol expected by Log2json is very simple and documented in the source code. ** The `tail-log` script uses a patched version of `tail` from the GNU coreutils package. A binary of the `tail` utility compiled for Ubuntu 12.04 LTS is included with the Log2json gem. If the binary doesn't work for your distribution, then you'll need to get GNU coreutils-8.13, apply the patch(it can be found in the src/ directory of the installed gem), and then replace the bin/tail binary in the directory of the installed gem with your version of the binary. ** P.S. If you know of a way to configure and compile ONLY the tail program in coreutils, please let me know! The reason I'm not building tail post gem installation is that it takes too long to configure && make because that actually builds every utilties in coreutils. For shipping logs to Redis, there's the `lines2redis` script that can be used as the output process in the pipe. For shipping logs from Redis to ElasticSearch, Log2json provides a `redis2es` script. Finally here's an example of Log2json in action: From a client machine: tail-log /var/log/{sys,mail}log /var/log/{kern,auth}.log | syslog2json | queue=jsonlogs \ flush_size=20 \ flush_interval=30 \ lines2redis host.to.redis.server 6379 0 # use redis DB 0 On the Redis server: redis_queue=jsonlogs redis2es host.to.es.server Resources that help writing log2json filters: - look at log2json.rb source and example filters - http://grokdebug.herokuapp.com/ - http://www.ruby-doc.org/stdlib-1.9.3/libdoc/date/rdoc/DateTime.html#method-i-strftime
Log2json lets you read, filter and send logs as JSON objects via Unix pipes. It is inspired by Logstash, and is meant to be compatible with it at the JSON event/record level so that it can easily work with Kibana. Reading logs is done via a shell script(eg, `tail`) running in its own process. You then configure(see the `syslog2json` or the `nginxlog2json` script for examples) and run your filters in Ruby using the `Log2Json` module and its contained helper classes. `Log2Json` reads from stdin the logs(one log record per line), parses the log lines into JSON records, and then serializes and writes the records to stdout, which then can be piped to another process for processing or sending it to somewhere else. Currently, Log2json ships with a `tail-log` script that can be run as the input process. It's the same as using the Linux `tail` utility with the `-v -F` options except that it also tracks the positions(as the numbers of lines read from the beginning of the files) in a few files in the file system so that if the input process is interrupted, it can continue reading from where it left off next time if the files had been followed. This feature is similar to the sincedb feature in Logstash's file input. Note: If you don't need the tracking feature(ie, you are fine with always tailling from the end of file with `-v -F -n0`), then you can just use the `tail` utility that comes with your Linux distribution.(Or more specifically, the `tail` from the GNU coreutils). Other versions of the `tail` utility may also work, but are not tested. The input protocol expected by Log2json is very simple and documented in the source code. ** The `tail-log` script uses a patched version of `tail` from the GNU coreutils package. A binary of the `tail` utility compiled for Ubuntu 12.04 LTS is included with the Log2json gem. If the binary doesn't work for your distribution, then you'll need to get GNU coreutils-8.13, apply the patch(it can be found in the src/ directory of the installed gem), and then replace the bin/tail binary in the directory of the installed gem with your version of the binary. ** P.S. If you know of a way to configure and compile ONLY the tail program in coreutils, please let me know! The reason I'm not building tail post gem installation is that it takes too long to configure && make because that actually builds every utilties in coreutils. For shipping logs to Redis, there's the `lines2redis` script that can be used as the output process in the pipe. For shipping logs from Redis to ElasticSearch, Log2json provides a `redis2es` script. Finally here's an example of Log2json in action: From a client machine: tail-log /var/log/{sys,mail}log /var/log/{kern,auth}.log | syslog2json | queue=jsonlogs \ flush_size=20 \ flush_interval=30 \ lines2redis host.to.redis.server 6379 0 # use redis DB 0 On the Redis server: redis_queue=jsonlogs redis2es host.to.es.server Resources that help writing log2json filters: - look at log2json.rb source and example filters - http://grokdebug.herokuapp.com/ - http://www.ruby-doc.org/stdlib-1.9.3/libdoc/date/rdoc/DateTime.html#method-i-strftime
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