在现实世界中,一个Logstash管理会稍微复杂一些:它通常有一个或多个 input, filter 和 output 插件。 在这一小节中,你将创建一个Logstash管道,并且使用Filebeat将Apache Web日志作为input,解析这些日志,然后将解析的数据写到一个Elasticsearch集群中。. Filters are modules that can take your raw data and try to make sense of it. Logstash offers a variety of ready to use filters to parse the data and extract meta-data. In parts 1 and 2 of this tutorial, we installed the Ubuntu server and Elastic Stack (ELK Stack). This configuration listens on port 8514 for incoming messages from Cisco devices (primarilly IOS, and Nexus), runs the message through a grok filter, and adds some other useful information. Become a contributor and improve the site yourself. - define Icinga2 service-template for incoming events from Logstash in order to raise alarms when one or more conditions from logstash filters are matched. This data is usually indexed in Elasticsearch. Both Elasticsearch and Logstash must be installed and running before Grok can be used. In this article, we will guide you on how to use IP2Location filter plugin with Elasticsearch, Filebeat, Logstash, and Kibana. The logstash agent is a processing pipeline with 3 stages: inputs -> filters -> outputs. How to figure out why some characters go missing in rsyslog -> logstash pipeline. Multiple filters can be chained to parse the data into a common format. I've opened the issue below for that bug. There are however a couple resources that can make your parsing go faster. Speaking of searching, logstash comes with a web interface for searching and drilling into all of your logs. To check the config is valid, logstash can be passed the -t option although it then needs to be run again without the option for the pipeline to start. (" pipeline. Logstash has a bug: events spawned by filters do not get passed back into the pipeline to be filtered again. Afișați mai multe Afișează mai puține Oracle alert log monitoring solution using Filebeat, ElasticStack and Icinga2. With plugins, Logstash can connect to a variety of sources and stream data at scale to a central analytics system. Logstash Training Logstash Course: Logstash is a primary component of the ELK Stack, a popular log analysis platform. For example, an event can be a line from a file or a message from a source, such as syslog or Redis. d directory. The logstash agent is a processing pipeline with three stages: LOGSTASH - TERMINOLOGY 14 INPUT FILTER OUTPUT input { file { path => "/var/log/apache. I am not fond of working with access key's and secret keys, and if I can stay away from handling secret information the better. mp4 │ ├── 033 Build LogStash pipeline 3 with Grok filter. This article walks you through how to deploy Elasticsearch, Logstash, and Kibana, on an Ubuntu VM in Azure. https://goo. Internal to logstash, events are passed from each phase using internal queues. Understanding Logstash internals will help you make better design decisions for your streaming data processing architecture. Join me for this presentation to follow the journey of a Logstash event as it travels through the internal Logstash processing pipeline. The value of a setting that is not explicitly set in the pipelines. one file per "pipeline" (this was before LS support pipelines - my pipeline being a set of data that is manage from input -> filter -> output. Used: logstash 6. This post is older than a year. In a nutshell, they enable you to easily search through your log files, slice & dice them visually, drill into problem timeframes, and generally be the boss of knowing. Logstash is often used as a key part of the ELK stack or Elastic Stack, so it offers a strong synergy with these technologies. In the previous tutorials, we discussed how to use Logstash to ship Redis logs, index emails using. There are no heading fields, so we will add them. A pipeline includes inputs, filters, and outputs (and codecs). We also use Elastic Cloud instead of our own local installation of ElasticSearch. Currently, we are sending the syslog from the log host to a SO forward node. Logstash is a data pipeline that helps us process logs and other event data from a variety of sources. Another logstash cluster pulls events from RabbitMQ and then runs each event through a series of filters that parse fields, normalise names, add fields based on the workflows of my coworkers, enrich with additional information based on the fields already present in each log item and then send the enriched/processed data to the appropriate. It can be used to collect logs, parse them, and send them to another tool such as IBM Operations Analytics – Log Analysis to store them for later use. The Logstash configuration file determines the types of inputs that Logstash receives, the filters and parsers that are used, and the output destination. This issue began after upgrading from 6. mp4 │ ├── 034 Build LogStash pipeline 4 for Apache logs. If you want it in [Timestamp][age] you need to configure the age filter accordingly. Browse, analyze logs in Elasticsearchstatus_codes, pie-chart, top 10 clientip, line-chart,word-map and etc. Nagios Log Server - Logstash not running after upgrade to 2. This is about a bug in Logstash which prevents me from sending jenkins build logs to Logstash over HTTP (logstash-http-plugin) using ElasticSearch indexer. ELK: metadata fields in Logstash for grok and conditional processing When building complex, real-world Logstash filters, there can be a fair bit of processing logic. Download this file eecs498. This post is older than a year. 5 through 2. azureredis is the pipeline id and azureredis. Input{}: This has some configuration to read a message from the specified AWS SQS queue. How to figure out why some characters go missing in rsyslog -> logstash pipeline. This blog will cover how Logstash can pick up Fusion Middleware log files and put the log file lines into Elasticsearch. A) The Logstash event processing pipeline has three stages: inputs -> filters -> outputs. We're attempting to send a new log source (local syslog) to Security Onion. The logstash agent is an event pipeline. Handling grok, on the other hand, is the opposite of simple. Once installed, we will want to download and install the syslog output plugin for Logstash:. Outputs define where you send the processed events. We also use Elastic Cloud instead of our own local installation of ElasticSearch. 2 • Migrate Data from Elasticsearch-1. The above logstash config uses a plugin called logstash-filter-translate. Make a pipeline configuration file to describe what you want to happen to the logs. Some common codec is listed like following:. Handling grok, on the other hand, is the opposite of simple. But Logstash is also able to capture from many other sources, including social media streams, databases, and many more. Used: logstash v6. Logstash is written in Jruby, which is an implementation of Ruby inside the Java JVM. GitHub Gist: instantly share code, notes, and snippets. ● Logstash processes events to clean them up and normalize things where we can. mp4 │ ├── 035 Build LogStash pipeline 4 for Apache logs contd. Inputs generate events, filters modify them, and outputs ship them elsewhere. It is used to separate the transport of message form serialization process. d directory. The multiline filter is the key for Logstash to understand log events that span multiple lines. my_path => "/tmp/logstash" Codec. In simplistic terms its a naive forwarder in which you define source , you set the rules to format the data and you define the destination where to forward the data. filter { grok { match => [ "message", "%{USERNAME:user:int}" ] } } Note that this is just a hint that logstash will pass along to elasticsearch when it tries to insert the event. org is the Ruby community’s gem hosting service. Filters, which are also provided by plugins, process events. The filter and output stages are more complicated. We will look at the overview and explore the technology that goes behind this tool. This poses a problem for us, because we never had a chance to point Logstash at the correct timestamp. ● Logstash processes events to clean them up and normalize things where we can. The parsing can be done using regular expressions or csv or key/value. You can however have a single input in a pipeline and then use conditionals to distribute the data to multiple distinct processing pipelines. ELK: Using Ruby in Logstash filters Logstash has a rich set of filters , and you can even write your own , but often this is not necessary since there is a out-of-the-box filter that allows you to embed Ruby code directly in the configuration file. Used: logstash 6. Outputs define where you send the processed events. The filter sections is optional, you don't have to apply any filter plugins if you don't. Build LogStash pipeline # 4 for Apache logs. Each topic in our class has a strong emphasis points. Using an input or output codec eliminates the need for a separate filter in Logstash pipeline. my_path => "/tmp/logstash" Codec. Filters, which are also provided by plugins, process events. The Logstash connector uses Logstash 1. mp4 │ ├── 036 Build LogStash. Shown as millisecond. This is the 5th blog in a series on the Elastic product stack. In the current scenario, i would be using Elastic search. for backward compatibility in devutils for the rspec helpers, this method is not used in the pipeline anymore. Build LogStash pipeline # 4 for Apache logs. [Go, Python, Logstash, Elasticsearch, SQL, Docker, Kubernetes] Development of an ETL pipeline, a scalable distributed system used to query and transform MLS data. Filters are modules that can take your raw data and try to make sense of it. Configure logstash for capturing filebeat output, for that create a pipeline and insert the input, filter, and output plugin. The filter and output stages are more complicated. Events may be polled by Logstash, or pushed to Logstash. This pipeline does the following: Reads stock market trades as CSV-formatted input from a CSV file. 10/11/2017; 5 minutes to read; In this article. Create a pipeline - logstash. conf and it is located in the /etc/logstash directory where Logstash is. Become a contributor and improve the site yourself. But the instructions for a stand-alone. There is one area that it sadly lacks in, and that is free plugins and filters. Logstash should then start the pipeline and events should be output to the shell if the stdout plugin was used. Build LogStash pipeline # 4 for Apache logs. mp4 │ ├── 036 Build LogStash. Inputs generate events, filters modify them, outputs ship them elsewhere. They're produced by one of many Logstash plugins. The filter section first passes our system-netstats through the split filter - this splits common multiline data and hands each line through the logstash data pipeline individually. This may be related to Issue #145, however my source field is never empty and I have consistently reproduced the issue on data with known source field values. Logstash is a great tool to process the logs and extract valuable data from them. At the core of the ELK stack is the open-source Logstash project which defines itself as a server-side data processing pipeline - basically it helps to collect logs and then send them to a users' "stash" for. Unittesting your logstash 5. The purpose of this document is to provide information you need to gather in order to ensure a smooth deployment of a large IBM Operations Analytics - Log Analysis install. 2 to send documents to a Fusion pipeline. This video describes the evolution of Logstash's pipeline architecture. Output codecs are a convenient method for encoding your data before it leaves the output, without needing a separate filter in your Logstash pipeline. You don't need to know Ruby or any other DSLs. Logstash is a log formatter/aggregator and operates on a pipeline. The file we use is network traffic. Logstash is an open source, server-side data processing pipeline that ingests data from a multitude of sources simultaneously, transforms it, and then sends it to your favorite "stash". It enables them to centralize data processing of all types, normalize varying schema and formats, quickly extend to custom log formats, and easily add plugins for custom data sources. I was originally not going to do one but i think there is enough stuff for me to post a quick one. all filters from the logstash config and checked the messages that were coming. The filter section first passes our system-netstats through the split filter - this splits common multiline data and hands each line through the logstash data pipeline individually. We also use Elastic Cloud instead of our own local installation of ElasticSearch. As a developer working with SQL Server there was a need to import data from the database to Elasticsearch and analyze data in Kibana. Located in US EAST. The filters of Logstash measures manipulate and create events like Apache-Access. Configure logstash for capturing filebeat output, for that create a pipeline and insert the input, filter, and output plugin. Build LogStash pipeline # 3 with Grok filter. mp4 │ ├── 033 Build LogStash pipeline 3 with Grok filter. It gathers all types of data from the different source and makes it available for further use. The holy trinity of Elasticsearch, Logstash, and Kibana (ELK) are a powerful trio of tools for data discovery and systems diagnostics. The following terminal commands show how to install the logstash-filter-translate plugin. Used: logstash 6. A codec is the name of Logstash codec used to represent the data. In Logstash 1. conf in home directory of logstash, Here. Logstash's configuration files are written in the JSON format and reside in the /etc/logstash/conf. The logstash agent is an event pipeline consisting of 3 parts: Inputs; Filters; Outputs. With 200 plugins and counting, Logstash can connect to a variety of sources and stream data at scale to a central analytics system. You can however have a single input in a pipeline and then use conditionals to distribute the data to multiple distinct processing pipelines. This article build on the solution from. Deprecated settings will continue to work, but are scheduled for removal from logstash in the future. What is Logstash? In case you don't know what Logstash is all about, it is an event processing engine developed by the company behind Elasticsearch, Kibana, and more. Below is a logstash pipeline that should be stored in a file called ‘clones. Logstash is a server‑side data processing pipeline that ingests data from multiple sources simultaneously, transforms it, and then sends it to a "stash" like Elasticsearch. As such, it threads very well. I’m sure as Logstash grows, much of what the custom ruby filters do can be changed over time. Unittesting your logstash 5. mutate: The Logstash mutate filter is used for general manipulation of fields. Logstash is a log formatter/aggregator and operates on a pipeline. Download and Unzip the Data. A newbies guide to ELK - Part 3 - Logstash Structure & Conditionals A newbies guide to ELK - Part 4 - Filtering w/ Grok Now that we have looked at how to get data into our logstash instance it's time to start exploring how we can interact with all of the information being thrown at us using conditionals. これはパイプラインの定義ファイルで、今は標準出力から入力を受け付け、それを標準出力へと出力するという定義になっ. Here I am, a year and a half later finally updating this blog with a new post. To view the count of socket, use. a guest Sep 26th, 2019 78 in 5 days Not a member of Pastebin yet? Sign Up, it filter { } output { if [tags] == "ONSH-ES2-Info". The following command will help you to start Logstash with configuration file; As shown above, Logstash has started the pipeline between Elasticsearch and Logstash and then parsing the data to Elasticsearch has started. Having multiple pipelines in a single instance also allows these event flows to have different performance and durability parameters (for example, different settings for pipeline workers and persistent queues). mp4 │ ├── 036 Build LogStash. Below is a logstash pipeline that should be stored in a file called 'clones. It gathers all types of data from the different source and makes it available for further use. 3 Cluster to Elasticsearch-5. 2 • Migrate Data from Elasticsearch-1. The Logstash event processing pipeline has three stages: inputs → filters → outputs. Logstash ships with many input, codec, filter, and output plugins that can be used to retrieve, transform, filter, and send logs and events from various applications, servers, and network channels. This was tested against Logstash v1. Use the API to find out more about available gems. Logstash uses filters in the middle of the pipeline between input and output. Each section contains plugins that do relevant part of the processing (such as file input plugin that reads log events from a file or elasticsearch output plugin which sends log events to Elasticsearch). Free After Effects Plugins. 1 elasticsearch v5. Logstash is a data pipeline that helps its users process logs and other event data from a variety of systems. As Elasticsearch is an open source project built with Java and handles mostly other open source projects, documentations on importing data from SQL Server to ES using LogStash. Build LogStash pipeline # 4 for Apache logs (contd. They're produced by one of many Logstash plugins. The events are aggregated according to a group_id property using logstash-filter-aggregate The aggregate events are output to Elasticsearch using logstash-output-elasticsearch As it is, the throughput of this pipeline is quite low. Redis is often used as a "broker" in a centralized Logstash installation, which queues Logstash events from remote Logstash "shippers". Logstash Training Logstash Course: Logstash is a primary component of the ELK Stack, a popular log analysis platform. Pipeline processing system that connects "inputs" to "outputs" with optional "filters" in between. 4 Logstash 1. Inputs generate events, filters modify them, outputs ship them elsewhere. In addition, some of these filters allow to enrich the data with geographical location information. A pipeline includes inputs, filters, and outputs (and codecs). Inputs generate events, filters modify them, and outputs ship them elsewhere. ) and the output (IP address of the elasticsearch server logstash is shipping the modified data to etc. The pipeline. The purpose of this document is to provide information you need to gather in order to ensure a smooth deployment of a large IBM Operations Analytics - Log Analysis install. filter { grok { match => [ "message", "%{USERNAME:user:int}" ] } } Note that this is just a hint that logstash will pass along to elasticsearch when it tries to insert the event. Instantly publish your gems and then install them. The pipeline adds a field called eventtype to every event, so you can filter more easily and there's even the possibility of having a knowledgebase to all the events when there's enough interest (and help) from the community; You get information like the host writing the log or the Icinga facility providing the information. zip from Kaggle. ” (Ours is Elasticsearch, naturally. Data is often scattered or siloed across many systems in many formats. 2 to send documents to a Fusion pipeline. Make a pipeline configuration file to describe what you want to happen to the logs. 0 and port => 5044?? Multiple inputs can not share the same host/port. Consider some information might not be accurate anymore. workers ") if pipeline_workers > 1 @logger. Logstash plays an extremely important role in any ELK-based data pipeline but is still considered as one of the main pain points in the stack. Monitoring Logstash Pipelines - DZone. Setup of elasticsearch is very important, similarly, setup of logstash may not be very important but configuration of logstash is crucial. - define Icinga2 service-template for incoming events from Logstash in order to raise alarms when one or more conditions from logstash filters are matched. Logstash is a tool for managing events and logs. Both Elasticsearch and Logstash must be installed and running before Grok can be used. 4 using logstash, Kafka for all environments. Many modern enterprises have adopted the ELK (Elasticsearch, Logstash, Kibana) stack to collect, process, search and visualize data. Here we show how to load CSV data into ElasticSearch using Logstash. Pipeline is getting started, but data is not getting uploaded. cfg f ile will be mounted from ConfigMap. org is the Ruby community’s gem hosting service. It leverages ElasticSearch’s search capabilities to visualise your (big) data in seconds. A new pipeline has been defined i. Second pipeline uses the elasticsearch input to query for events that look like they are un-aggregated events. With 200 plugins and counting, Logstash can connect to a variety of sources and stream data at scale to a central analytics system. Example Logstash pipeline. Filters define how you transform and enrich the events in the pipeline. In Logstash 1. logstash-filter-translate. The Logstash architecture. stdout can be used for debugging. Become a contributor and improve the site yourself. Filters, which are also provided by plugins, process events. Build LogStash pipeline # 3 with Grok filter. Create a pipeline - logstash. This Logstash pipeline has 3 parts. Used: logstash 6. groks are all about pattern matching - if you match the apache log format you are generating correctly, the non-matching lines get tagged with '_grokparsefailure' automatically i believe. conf in home directory of logstash, Here. 3 Cluster to Elasticsearch-5. the real problem was the “,” (comma) for the decimal number in the log file. A pipeline includes inputs, filters, and outputs (and codecs). warn (" Warning: Manual override - there are filters that might not work with multiple worker threads ",:worker_threads => pipeline_workers,:filters => plugins) end else # user did not specify a worker thread count # warn if the default is multiple if default > 1 @logger. But the instructions for a stand-alone. In this tutorial, I describe how to setup Elasticsearch, Logstash and Kibana on a barebones VPS to analyze NGINX access logs. This article walks you through how to deploy Elasticsearch, Logstash, and Kibana, on an Ubuntu VM in Azure. Logstash is a tool for managing events and logs. Using an input or output codec eliminates the need for a separate filter in Logstash pipeline. But Logstash is also able to capture from many other sources, including social media streams, databases, and many more. Build LogStash pipeline # 3 with Grok filter. Use ElasticSearch and Grafana to build powerful and beautiful dashboards. The Logstash event processing pipeline has three stages: inputs → filters → outputs. Below is a logstash pipeline that should be stored in a file called ‘clones. The Logstash architecture. cfg is the path of the configuration file for Redis cache integration. A pipeline consists of three stages: inputs, filters, and outputs. There are however a couple resources that can make your parsing go faster. We will discuss the [@metadata][index] later in this article. Download and Unzip the Data. Kibana gives the visualization of data through a UI. The holy trinity of Elasticsearch, Logstash, and Kibana (ELK) are a powerful trio of tools for data discovery and systems diagnostics. Data Resiliency. (" pipeline. Internal to logstash, events are passed from each phase using internal queues. https://goo. You may wish to copy and paste the above lines into a CSV file called stocks. If you want it in [Timestamp][age] you need to configure the age filter accordingly. mp4 │ ├── 032 Build LogStash pipeline 2 contd. a guest Sep 26th, 2019 78 in 5 days Not a member of Pastebin yet? Sign Up, it filter { } output { if [tags] == "ONSH-ES2-Info". Suggestion to use codec=>json is not an option for me because I want to conditionally apply json codec/parsing. The introduction of Beats transformed. Logstash offers a variety of ready to use filters to parse the data and extract meta-data. Create a pipeline - logstash. The value of a setting that is not explicitly set in the pipelines. I am not fond of working with access key’s and secret keys, and if I can stay away from handling secret information the better. A pipeline includes inputs, filters, and outputs (and codecs). With the Logstash ruby filter, you have the option to apply to the data any ruby code. Input plugins An input plugin is used to configure a set of events to be fed to Logstash. Torrent Contents. Knowledge and experience about ELK and LogStash could be very valuable for your career. Configuring logstash In the logstash pipeline yaml, add the following lines to the "input" section: tcp { port => codec => "json" } in the "filter" section, add the following code to create a filter based on the resource-tracker's event message:. “ LISTEN ” status for the sockets that listening for incoming connections. Become a contributor and improve the site yourself. As Elasticsearch is an open source project built with Java and handles mostly other open source projects, documentations on importing data from SQL Server to ES using LogStash. Windows doesn't have much of a native story here and solutions often involve stitching together different technologies via configuration. Redis is often used as a "broker" in a centralized Logstash installation, which queues Logstash events from remote Logstash "shippers". Inputs generate events. Writing maintainable Logstash filters. Build LogStash pipeline # 3 with Grok filter. GitHub is home to over 40 million developers working together to host and review code, manage projects, and build software together. Another logstash cluster pulls events from RabbitMQ and then runs each event through a series of filters that parse fields, normalise names, add fields based on the workflows of my coworkers, enrich with additional information based on the fields already present in each log item and then send the enriched/processed data to the appropriate. GitHub Gist: instantly share code, notes, and snippets. When used generically, the term encompasses a larger system of log collection, processing, storage and searching activities. azureredis is the pipeline id and azureredis. Grok makes it easy for you to parse logs with regular expressions, by assigning labels to commonly used patterns. Codec can be used in both inputs and outputs. Multiple filters can be chained to parse the data into a common format. This Logstash filter. Today, we will first introduce Logstash, an open source project created by Elastic, before we perform a little Logstash „Hello World“: we will show how to read data from command line or from file, transform the data and send it back to… Read More Logstash „Hello World“ Example – Part 1 of the ELK Stack Series. GitHub Gist: instantly share code, notes, and snippets. Build LogStash pipeline # 3 with Grok filter. Logstash uses filters in the middle of the pipeline between input and output. It collects data inputs and feeds into the Elasticsearch. [2018-03-30T14:06:57,914][WARN ][logstash. https://www. The Logstash event processing pipeline has three stages: inputs → filters → outputs. We configure one (or many) input sources, that you either send directly to an output source, or you let it go through a filter where you modify the data before sending it to the output. Windows doesn't have much of a native story here and solutions often involve stitching together different technologies via configuration. For example, an event can be a line from a file or a message from a source, such as syslog or Redis. Inputs generate events. You may wish to copy and paste the above lines into a CSV file called stocks. dns: The Logstash DNS filter performs either a forward or reverse DNS lookup. zip from Kaggle. If we want to visualize the data, we will use Kibana, the visualization tool. Kibana lets users visualize data with charts and graphs in Elasticsearch. In the first article here I mentioned some of the shortcomings of using the importer library which I have copied here: No support for ES version 5…. During our discussion/exercise, we ensure these key points are being conveyed to participants. Using Grok Filters. The filter section first passes our system-netstats through the split filter – this splits common multiline data and hands each line through the logstash data pipeline individually. Inputs and outputs support codecs that enable you to encode or decode the data as it enters or exits the pipeline without having to use a separate filter. One of the best solutions for the management and analysis of logs. Consider some information might not be accurate anymore. Internal to logstash, events are passed from each phase using internal queues. 2 and relies heavily on Logstash's "ruby" filter capability which really was a lifesaver to be able to workaround some bugs and lack of certain capabilities Logstash's in growing set of filters. x filters 04 Feb 2017. With plugins, Logstash can connect to a variety of sources and stream data at scale to a central analytics system. The purpose of running Logstash on your local workstation is for testing out various filter configurations before adding them to a production Logstash instance. In a nutshell, they enable you to easily search through your log files, slice & dice them visually, drill into problem timeframes, and generally be the boss of knowing. The filter and output stages are more complicated. Browser based analytics and search dashboard for Elasticsearch. 4 using logstash, Kafka for all environments. mp4 │ ├── 036 Build LogStash. Next we specify filters. "ESTABLISHED" status for the sockets that established connection between logstash and elasticseearch / filebeat. Build LogStash pipeline # 3 with Grok filter. a guest Sep 26th, 2019 78 in 5 days Not a member of Pastebin yet? Sign Up, it filter { } output { if [tags] == "ONSH-ES2-Info". [2018-03-30T14:06:57,914][WARN ][logstash. Consider some information might not be accurate anymore. Logstash is a data pipeline that helps us process logs and other event data from a variety of sources. (" pipeline. Logstash is described on the elastic. x filters 04 Feb 2017. Use ElasticSearch and Grafana to build powerful and beautiful dashboards. The process is relatively straight forward on paper: Logstash monitors the IIS log and pushes new entries into the pipeline; Use a grok filter to split out the fields in the IIS log line (more on this below). you can then search for this tag in kibana, and view the complete message by clicking on the entry. It can be used to collect logs, parse them, and send them to another tool such as IBM Operations Analytics – Log Analysis to store them for later use. https://www. The filter section first passes our system-netstats through the split filter – this splits common multiline data and hands each line through the logstash data pipeline individually. Internal to logstash, events are passed from each phase using internal queues. But Logstash is also able to capture from many other sources, including social media streams, databases, and many more. In Logstash 1.
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