date时区 es logstash_es-日志存储-Logstash 介绍

本文是elasticsearch官方文档logstash的翻译，你也可查看原文

注：Logstash意思是日志存储，下文中对本词使用英文。

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Logstash 介绍

Logstash is an open source data collection engine with real-time pipelining capabilities(功能). Logstash can dynamically unify(统一) data from disparate(不同的) sources and normalize the data into destinations(目的地) of your choice. Cleanse(净化) and democratize(大众化) all your data for diverse(不同的) advanced downstream(下游) analytics and visualization(形象化) use cases.

Logstash 是开源的具有实时输入数据能力的数据收集引擎。Logstash可以把来自不同的源的数据动态的写入你选择的目的地并对输入的数据进行规范化。根据需求进行分析和展示。

While Logstash originally(最初) drove innovation(创新) in log collection, its capabilities extend well beyond(超越) that use case. Any type of event can be enriched and transformed(转变) with a broad(宽的) array of input, filter, and output plugins, with many native codecs further(更好地) simplifying(简化) the ingestion(吸收) process. Logstash accelerates(加速) your insights(洞察力) by harnessing(利用) a greater volume and variety(多样) of data.

Logstash升级版本的时候，老版本对新版本的兼容新很好。事件的类型是一组input、filter、和output插件，所以可以很方便扩展，可以使用本地编码更好简化吸收日志的过程。

The Power of Logstash

The ingestion workhorse for Elasticsearch and more

Horizontally(水平) scalable(可扩展的) data processing pipeline with strong Elasticsearch and Kibana synergy(协同)

通过Elasticearch和kibana进行协同，实现数据处理的水平扩展

Pluggable pipeline architecture

Mix, match, and orchestrate different inputs, filters, and outputs to play in pipeline harmony

插件化管饱结构

混合,匹配和协调不同的 inputs, filters, and outputs让管道和谐而不发生冲突。

Community-extensible and developer-friendly plugin ecosystem

Over 200 plugins available, plus the flexibility of creating and contributing your own

社区可扩展和开发者友好的插件生态系统

超过200个插件可以使用，你也可以很快速创建和贡献你的插件

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Logstash Loves Data

Collect more, so you can know more. Logstash welcomes data of all shapes and sizes.

搜集更多,这样你就可以知道更多。Logstash可以存储各种各样的数据。

Logs and Metrics

Where it all started.

Handle all types of logging data

Easily ingest(摄取) a multitude(大批的) of web logs like Apache, and application logs like log4j for Java

Capture many other log formats like syslog, Windows event logs, networking and firewall logs, and more

Enjoy complementary(补充的) secure log forwarding capabilities with Filebeat

Collect metrics from Ganglia, collectd, NetFlow, JMX, and many other infrastructure(基础设施) and application platforms over TCP and UDP

日志和度量

这是一切开始的地方。

处理很多类型的日志

那些可以容易获取的Apache之类的web日志，应用日志如java的log4J

其他的格式化的日志如syslog,Windows event logs,网络和防火墙日志等等

Filebeat转发来的安全日志。

Ganglia, collectd, NetFlow, JMX, 和一些其他的(基础设施) and 基于 TCP and UDP的应用平台

The Web

Unlock the World Wide Web.

Transform HTTP requests into events (blog)

Consume(消耗) from web service firehoses(消防带) like Twitter for social sentiment(情感) analysis

Webhook(网络连接) support for GitHub, HipChat, JIRA, and countless(无数的) other applications

Enables many Watcher alerting use cases

Create events by polling(投票) HTTP endpoints on demand (blog)

Universally(普遍) capture health, performance, metrics, and other types of data from web application interfaces

Perfect for scenarios where the control of polling is preferred over receiving

解锁万维网。

Http事件

Data Stores and Streams

Discover more value from the data you already own.

Better understand your data from any relational database or NoSQL store with a JDBC interface (blog)

Unify(统一) diverse(不同的) data streams from messaging queues like Apache Kafka (blog), RabbitMQ, Amazon SQS, and ZeroMQ

数据存储和数据流

Sensors and IoT

Explore an expansive breadth of other data.

In this age of technological advancement, the massive IoT world unleashes endless use cases through capturing and harnessing data from connected sensors.

Logstash is the common event collection backbone for ingestion of data shipped from mobile devices to intelligent homes, connected vehicles, healthcare sensors, and many other industry specific applications.

Watch as Logstash, in conjunction with the broader ELK stack, centralizes and enriches sensor data to gain deeper knowledge regarding a residential home.

Easily Enrich Everything

The better the data, the better the knowledge. Clean and transform your data during ingestion to gain near real-time insights immediately at index or output time. Logstash comes out-of-box with many aggregations and mutations along with pattern matching, geo mapping, and dynamic lookup capabilities.

Grok is the bread and butter of Logstash filters and is used ubiquitously to derive structure out of unstructured data. Enjoy a wealth of integrated patterns aimed to help quickly resolve web, systems, networking, and other types of event formats.

Expand your horizons by deciphering geo coordinates from IP addresses, normalizing datecomplexity, simplifying key-value pairs and CSV data, anonymizing sensitive information, and further enriching your data with local lookups or Elasticsearch queries.

Codecs are often used to ease the processing of common event structures like JSON and multilineevents.

Choose Your Stash

Route your data where it matters most. Unlock various downstream analytical and operational use cases by storing, analyzing, and taking action on your data.

Analysis

Elasticsearch

Data stores such as MongoDB and Riak

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