Generate a serial number via Redis
Redis utilities for redis instrumentations
A robust, performance-focused and full-featured Redis client for Node.js.
A modern, high performance Redis client
This package provides support for the [RedisBloom](https://redis.io/docs/data-types/probabilistic/) module, which adds additional probabilistic data structures to Redis.
OpenTelemetry instrumentation for `redis` database client for Redis
This package provides support for the [RedisJSON](https://redis.io/docs/latest/develop/data-types/json/) module, which adds JSON as a native data type to Redis.
The source code and documentation for this package are in the main [node-redis](https://github.com/redis/node-redis) repo.
This package provides support for the [RediSearch](https://redis.io/docs/interact/search-and-query/) module, which adds indexing and querying support for data stored in Redis Hashes or as JSON documents with the [RedisJSON](https://redis.io/docs/data-type
This package provides support for the [RedisTimeSeries](https://redis.io/docs/data-types/timeseries/) module, which adds a time series data structure to Redis.
An HTTP/REST based Redis client built on top of Upstash REST API.
Generates CRC hashes for strings - for use by node redis clients to determine key slots.
Javascript Redis protocol (RESP) parser
Redis storage adapter for Keyv
The Socket.IO Redis adapter, allowing to broadcast events between several Socket.IO servers
Redis commands
Next-generation take on pre/post function hooks
Info output parser for Redis
This library emulates ioredis by performing all operations in-memory.
A Redis store for the `express-rate-limit` middleware
Redis commands
<div align="center"> <h1 align="center">@upstash/core-analytics</h1> <h5>Serverless Analytics for Redis</h5> </div>
Extending the Jest default runner to run tests serially by default
Distributed mutex and semaphore based on Redis
Persist your Ruby objects in Redis.
Store data by converting JSON to redis
Rack middleware that writes the serial number of issued certs to a Redis database. Uses r509 and r509-ca-http
Rails 4 Redis session store for ActionPack with JSON serialization
Rails 4 Redis session store for ActionPack with JSON serialization
Rails 4 Redis session store for ActionPack with JSON serialization
Simple Scalable RPC using Redis & BSON
Mudis is a fast, thread-safe, in-memory, sharded LRU cache for Ruby applications. Inspired by Redis, it provides value serialization, optional compression, per-key expiry, and metric tracking in a lightweight, dependency-free package.
Thermos is a Rails caching library that keeps your cache always warm by automatically rebuilding it in the background when ActiveRecord models change. No more stale data from TTL expiration, no more slow cold cache hits, and no need to 'touch' associated models. Works with any ActiveJob backend (Sidekiq, Solid Queue, etc.) and any cache store (Redis, Memcached, Solid Cache, etc.). Perfect for API responses, JSON serialization, and view caching.
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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