How To Debug Grok Filter

Writing Grok Filters. Postfix log filtering. Filter-grok Installation and Configuration Grok is one of the most widely used plugin It is instrumental in parsing arbitrary and unstructured text into structed and queryable data field It is widely used to parse syslog, apache logs, mySQL logs, custom application logs, postfix logs etc. Having to wait minutes for each restart, could make your life tough. Many times, something overrides them. The syntax for a GROK pattern is %{SYNTAX:SEMANTIC}. I am trying to grep only few fields from this output from logstash 1. Logstash and Windows 2008 DNS debug logs. Matcher and Filter. The goal I want to accomplish with a grok filter is to break down the log line into the following fields: timestamp, log level, class, and then the rest of the message. Logstash GROK filter is written in the following form − %{PATTERN:FieldName} Here, PATTERN represents the GROK pattern and the fieldname is the name of the field, which represents the parsed data in the output. It sits on top of Regular Expression (regex) and uses text patterns to match lines. For full-blown regular expressions in ruby rubular is essential. This is the filter section. If you are a. You can also use the Grok Debugger to debug your Grok patterns. ” grok = understand (something) intuitively or by empathy. Unfortunately, there's no app for that - but it's much. stdout can be used for debugging. For the more general question of how to debug grok expressions, I suggest starting with the simplest possible expression and increasing complexity by stepwise appending more of the original expression until you once again get _grokparsefailure). It seems this could be especially helpful with the grok module. (This filter is not strictly necessary - the following grok filter produces the same result. For example, 3. No cloud or web server needed. 2, for the 1. This site, GrokConstructor, goes beyond that by providing an incremental construction process that helps you to construct a regular expression that matches all of a set of given log lines, and provides you a. Assuming there are any matching logs within the. Details zu Grok 1. It uses the type field to match any incoming events tagged with syslog (most likely by our tcp and udp input plugins) and pass them to the filter. Think of it as a debug view that you can access right off the pipeline using pipe. it can also be used with Visual Studio 2015 and Visual Studio 2013, provided you include the Visual Studio 2015 runtime DLLs. A Filter will be called on one of its filter methods and will return a Result, which is an Enum that has one of 3 values - ACCEPT, DENY or NEUTRAL. Once you get the hang of logstash/filters, it makes building new filters a breeze. The grok filter plugin is one of the most popular plugins used by Logstash users. A while back, we posted a quick blog on how to parse csv files with Logstash, so I'd like to provide the ingest pipeline version of that for comparison's sake. After a few days I realized, that most of the aggregated log lines where not really important to me. See “Save the Date”, too. Don't get hung up on the fact that the logfile happens to have a fixed-width format. Writing Grok Filters. Results update in real-time as you type. You can setup Logstash to do custom parsing of your logs and then send the output to Loggly. Capturing Failed Syslog messages 🔗︎. Adding multiline log files such as MySQL's slow query log, however can be a bit of a challenge. In order to effectively analyze and query any data that has been sent to Elk Stack your information must be readable. tmpdir=/var/lib/logstash/ -jar /opt/logstash/logstash. This makes it easier to manage your logs and to quickly query for information. I am trying to grep only few fields from this output from logstash 1. CSS-Tricks Presents 📅 Upcoming Front-End Conferences. Grok / ˈ ɡ r ɒ k / is a neologism coined by American writer Robert A. The filter I'm trying to apply is for some firewall logs and I have a field that will either have a single or two values. set_trace() Let's try it out. This is the filter section. NET performance. Connect Grok Learning Debug Page; Below is a log of what happened during the Realtime WebSocket test. But if that does not work, then you can try out the rest of the methods. Start entering your Grok Pattern Note: We recommend using both the Grok Debugger and this list of grok patterns as reference. Re: How to query complex regex pattern in nagios log server by scottwilkerson » Thu Feb 26, 2015 3:03 pm 1. A good tool I used to get to grok filter definitions is Grok debugger. NOTE: As a result of these structural changes, ``grokproject`` will no longer support building projects based on Grok versions earlier than 1. From here you can either analyze the logs in a text editor available on the server, or you can copy the logs over to a local machine. It includes this sample GROK pattern for Nginx's default access log: It includes this sample GROK pattern for Nginx's default access log:. The purpose of the probe is to allow filter authors to provide a diagnostic payload that is composable with the entire pipeline. In fact, Logstash has a wide range of input tools which you can choose from. The grok filter plugin is one of the most popular plugins used by Logstash users. The interfaces. Debugging and maintaining such monster regular expression can result in a lot of wasted time. You can use GROK debugger to test your GROK patterns. 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. Using the grok debugger we can build a pattern to create a field called remedy_timestamp: As not all of our log lines have the timestamp present we can't just add our new pattern to the existing filter. But it seems to suffer from performance issues, especially if the pattern doesn’t match. Red Team Telemetry: Empire Edition Previously I’ve written and presented on Red Team Telemetry that focused on Cobalt Strike. Valid values are fatal, error, warn, info, and debug. This is slower than the speed at which we generate log lines (~50/sec). All gists Back to GitHub. Quick Logstash Grok patterns testing setup. In order to effectively analyze and query any data that has been sent to Elk Stack your information must be readable. The Grok debugger can help you test your regular expressions and provides Grok Discovery that sometimes can suggest regular expressions. The Grok filter gets the job done. It offers three fields: The first field accepts one (or more) log line(s) The second the grok pattern; The 3rd is the result of filtering the 1st by the 2nd. The grok filter will attempt to match each pattern before failing to parse. Once you are familiar with grok syntax, it's very easier to write patterns. It includes this sample GROK pattern for Nginx's default access log: It includes this sample GROK pattern for Nginx's default access log:. By the end of the book, you will be able to design and. Step 1: Syntax check. grok seems to be the default way to filter events in Logstash. This might help you avoid unnecessary and really basic mistakes. Logstash Grok Patterns has become image we have reliably detected on the internet thought. The syntax for a GROK pattern is %{SYNTAX:SEMANTIC}. Logstash is an outstanding tool for collecting and parsing logfiles. Assuming there are any matching logs within the. Method 1: Follow these steps to disable XSS filter. Valid values are fatal, error, warn, info, and debug. 44" will be matched by the NUMBER pattern and "55. The following sections give you details on how to configure these. You can use GROK debugger to test your GROK patterns. Only 50 MB will be retained. Mar 12, 2017. This is a Grok filter plugin. The syntax for a GROK pattern is %{SYNTAX:SEMANTIC}. Debug logs capture bootstrap, application configuration, runtime, deployment, monitoring and reporting, and public key infrastructure (PKI) information. Grok debug is your best friend. to in your Grok filter. Logstash Grok Patterns has become image we have reliably detected on the internet thought. Log Analysis / Log Management by Loggly: the world's most popular log analysis & monitoring in the cloud. We've used "WORD" (a single word), "DATA" (non-greedy catchall), "PATH" (a Unix or Windows file path) and "POSINT" (a positive integer). This is about how to configure elasticsearch, logstash, kibana together to visualize and analyze the logs. You will also learn how to extend a third-party Grok application, how to debug it, and how to deploy it. NET programmer, you need a copy of my latest book, the best and most essential resource on. The dissect filter, based on separators, is an alternative that makes it much easier - at the price of some additional handling. The grok debugger usually lives at http://grokdebug. It is perfect for syslog logs, Apache and other web server logs, MySQL logs or any human readable log format. 1 (or earlier than 1. It is a great tool for parsing log data and program output. Valid values are fatal, error, warn, info, and debug. Its task is simple — to parse logs into beautiful and easy to analyze data constructs. logstash,kibana,grok,kibana-4. We see some of the filter nuance below. If your grok{} fails to match a one of the patterns that you've provided, it will set a tag called "_grokparsefailure". Because ingest node and Logstash share the same grok implementation and pattern libraries, any grok pattern that you create in the Grok Debugger will work in ingest node and Logstash. After this, you will be able to debug the source code. org have top notch documentation. "I grok in fullness. Not having much luck at the moment and am wondering if there's any filter/grok wizards around? At the moment the log syntax are coming through to logstash looks like this:. We also found it useful to take complex filters and define a custom grok pattern to simplify the configuration. This allows us to use advanced features like statistical analysis on value fields, faceted search, filters, and more. For the common data I've added the tag "mongodb" and for the profiling data I've added the tag "mongo_profiling_data". repositories#create 2. Grok is a pattern matching syntax that you can use to parse arbitrary text and structure it. I've been playing around the last few days with different ELK filters trying to get them to work with my Cisco switches. Before we look at learning grok patterns, it is helpful to look at the logs we're sending to get a feel for their format and identify important information. However, depending on the specific log format to parse, writing the filter expression might be quite complex a task. Rose Glen North Dakota ⁓ Try These Logstash Date Filter Examples 23-windows下filebeat与logstash与elasticSearch的合并使用--洋辣椒 Sending PureLytics stream to Splunk | Dynatrace Answers. stdout can be used for debugging. tmpdir=/var/lib/logstash/ -jar /opt/logstash/logstash. Debug without guesswork by stepping through the actual matching process. Application Logging With Logstash 2. Extra Pointer:. 3 of my setting up ELK 5 on Ubuntu 16. The grok filter will attempt to match each pattern before failing to parse. Using the grok debugger we can build a pattern to create a field called remedy_timestamp: As not all of our log lines have the timestamp present we can't just add our new pattern to the existing filter. set_trace() Let's try it out. You can either use regexp conditionals to choose between different filters (see the documentation for examples) or list multiple grok patterns that'll be applied in order with first-match-wins policy. In this video we show you how to perform data manipulation in Logstash using the Grok filter. Understanding the code and keeping it in memory sounds like a great practice, but it also seems entirely orthogonal to using a debugger. Dissect is a different type of filter than grok since it does not use regex, but it's an alternative way to aproach data. Open Internet Explorer and click on Tools. 1 will be matched by the IP pattern. You received this message because you are subscribed to the Google Groups "elasticsearch" group. The filter I'm trying to apply is for some firewall logs and I have a field that will either have a single or two values. Ask Question I tried using the Grok Debugger but I barely have an idea what I'm doing. I’m sure there is a character throwing it off - but I seem to keep finding new and creative ways to break out of my grok/regex strings. It doesn't really help here since. Above the usual chronological line view, you will see all the events arranged by their relationship of dependence to one another. If your grok{} fails to match a one of the patterns that you've provided, it will set a tag called "_grokparsefailure". The following grok pattern will do the job: This will try to match the incoming log to the given pattern. can be simplified, you are mutating either way, and we can put the add_tag inside the grok filter, change them like so. This post gives some advices how to test and develop custom grok patterns for logstash. ShopTalk is a podcast all about front-end web design and development. You can provide the device with input, then step through the code watching what the device does what that input. A filter is defined to filter traffic; then an action profile is applied to the filtered traffic. Because Spring Boot can handle the parse of configuration files, when we want to implement a. For regular debugging, where we need to step through the code to see what's going on inside, the Python debugger is an excellent tool. I have multiple filters that have been provided by 3rd party libraries and it is very difficult to know when they are invoked, and in what order. 本文简单介绍一下 Logstash 的过滤插件. You will then be able to choose your Parse Method from the dropdown. Logstash using dissect instead of grok for filtering Some time a go I've came across the dissect filter for logstash to extract data from my access_logs before I hand it over to elasticsearch. This caters for any appropriately formatted Syslog messages we might receive. Investigating the cases 41 and 42 For me, on Windows, the WORD definition was overriden by a pattern file in the logstash gem jruby-1. grok file you can specify the data type as number, boolean, or string. Above the usual chronological line view, you will see all the events arranged by their relationship of dependence to one another. Heinlein, Stranger in a Strange Land. This grok filter will only be attempted if the match failed on the previous grok filter (i. Cloudera Morphlines Reference Guide Cloudera Morphlines provides a set of frequently-used high-level transformation and I/O commands that can be combined in application specific ways. Think of it as a debug view that you can access right off the pipeline using pipe. elk, it's elastic search, log stash and kibana, three open source key components from elastic search. com/ This quick video shows you how and why you would use it. We’ve specified a new output section and captured events with a type of syslog and the _grokparsefailure in its tags. Grok automatically structures unstructured logs. pl, specifically a listing of functions, macros, flags, and variables that may be used by extension writers. In the input section, we need to put all paths to the actual Bro log files on OUR system. Its task is simple — to parse logs into beautiful and easy to analyze data constructs. 44 will be matched by the NUMBER pattern and 55. Once you are familiar with grok syntax, it's very easier to write patterns. 29 Dec 2015. The grok filter config was immediately very complicated, due to the widely varying nature of our log lines, mixture of appliations sending log lines, and the detail I needed to pluck from these lines. pl, specifically a listing of functions, macros, flags, and variables that may be used by extension writers. Tools make your life easier. I've resorted to adding log messages to some of the various 3rd party libraries and recompiling them, but this doesn't seem like the right way to go about. See link to the lower left. Log Aggregation with Log4j, Spring, and Logstash. Logstash GROK filter is written in the following form − %{PATTERN:FieldName}. The first one that matches from top to bottom is the one that does the parsing. Configure the interface address for the logical interface. Writing grok filters and fetching information is the only task that requires some serious efforts and if done properly will give you great insights in to your data like Number of Transations performed over time, Which type of products have most hits etc. If you can tell me how you would like to break this message down, I would be happy to assist with writing a grok filter for the use case. If you receive a message that is not in a structured format like xml or json, then Grok is necessary to pull apart the text into different fields. grok is a powerful filter plugin. The Grok filter in Logstash was only able to handle between 10 and 30 log lines per second based on my many REGEX lines. There is also an online "Grok Debugger" application to test grok patterns. ELK 5: Setting up a Grok filter for IIS Logs Posted on May 11, 2017 by robwillisinfo In Pt. An alternative is to use the dissect filter instead, which is based on separators. Connect Grok Learning Debug Page; Below is a log of what happened during the Realtime WebSocket test. it can also be used with Visual Studio 2015 and Visual Studio 2013, provided you include the Visual Studio 2015 runtime DLLs. I got in contact with it last week and found some great documentation that I thought I'd save for a rainy day. Please look at grok filter docs for basic syntax in grok patterns. Debugging Grok Expressions edit. My filter section has 5 different parts: grok, syslog_pri, geoip, mutate and date. You can use GROK debugger to test your GROK patterns. Logstash? Grok? If you ended up here from a search engine's results, then you should know what Logstash and grok are and can jump directly to the next section. This wiki focuses on the logstash part of ELK and how to configure it so that TIBCO Cloud Integration logs can be ingested. Grok patterns can be used for the grok processor in Dev Tools and in the Logstash grok filter. Grok Learning will not function correctly without WebSockets. Log Analysis / Log Management by Loggly: the world's most popular log analysis & monitoring in the cloud. The contents of UGrokItAndroidSdk. The first one that matches from top to bottom is the one that does the parsing. I’m sure there is a character throwing it off - but I seem to keep finding new and creative ways to break out of my grok/regex strings. A Filter will be called on one of its filter methods and will return a Result, which is an Enum that has one of 3 values - ACCEPT, DENY or NEUTRAL. You can also apply a multiline filter first. Grok Debugger If you run in any kind of trouble with grok then you should use the Grok Debugger. I love being able to get up and running without being able to write any sort of build manifests or scripts or anything, that I can drop in references to third party projects to fill in the few gaps in its massively comprehensive standard library and the out-of-the-box tooling just rolls with it. I tried using the grok debugger with the following but it didn't appear to work:. Windows SDK The U Grok It SDK for Windows enables easy integration of RFID functionality into a Windows 7, Windows 8 or Windows 10 app (currently Intel platforms only). Don't get hung up on the fact that the logfile happens to have a fixed-width format. Application Logging With Logstash 2. This is a Grok filter plugin. Debug — Designates fine-grained informational events that are most useful to debug an application. Grok / ˈ ɡ r ɒ k / is a neologism coined by American writer Robert A. 0 Web Development NEW by Carlos Guardia - eBay. Grok is a little nice tool that makes regular expressions easier to manage and helps to turn unstructured log and event data into structured data. Heinlein, Stranger in a Strange Land. The grok only works if the line matches the pattern so lines without this data would not be parsed into our extra data fields. Source: The Oxford English Dictionary. This is a Grok filter plugin. Grok filters. The Grok filter gets the job done. Instead of digging through log files to debug, you can simply filter by what you're looking for like environment or url. Consume define Grok Pattern in your logstash configuration file for grok filter as given in below example. How to write and debug grok pattern in ELK. Logstash GROK filter is written in the following form − %{PATTERN:FieldName}. There is an online grok debugger available for building and testing patterns. 04 series, I showed how easy it was to ship IIS logs from a Windows Server 2012 R2 using Filebeat. You can provide this page to your network administrator so they can get Grok Learning working on your network. Perhaps the ability to send 'event' to a debug statement with a key would be helpful. An alternative is to use the dissect filter instead, which is based on separators. 我個人認為 Logstash 中最精華的部分就屬 Grok Filter。 本篇將簡單教學如何透過 Logstash Grok Filter 建立 Elasticsearch 欄位。 Logstash 在 ELK 架構中,是負責把收到的純文字資料,做特定的規則處理,就可以變成指定的欄位。. Logstash and Windows 2008 DNS debug logs. Configure the interface address for the logical interface. This is where most of the work will be done in logstash. I in this example wanted to extract the load average fields from the nagios check and plot them through graphite which looks the the image below. と同等。ログの最後にリファラとAgentがついてない行は無視されてしまうぽい。 上の箱にログを貼り付けて下に grok パターンを書くと、何が返るかを表示してくれる。 %{COMMONAPACHELOG} の例: リファラとagentがないと. The debugger runs in as many threads as the app itself. Testing helps us avoid bugs, but it does not eliminate them completely, of course. While parsing raw log files is a fine way for Logstash to ingest data, there are several other methods to ship the same information to Logstash. Grok is a plug-in installed by default in Logstash, which is supplied with the Elastic package (the ELK - Elasticsearch, Logstash and Kibana), one of the integrated modules in our NetEye Unified Monitoring solution. A redditor on /r/netsec pointed out that the CVS filter is much more efficient than the grok filter and pointed me to a git repo with some logstash conf files for parsing Bro logs. I in this example wanted to extract the load average fields from the nagios check and plot them through graphite which looks the the image below. The date filter fixes the timestamp, by changing it to the one matched earlier with the grok filter. Grok patterns can be used for the grok processor in Dev Tools and in the Logstash grok filter. Logstash is open source (Apache 2. However, I used these and my Grok Pattern failed to extract data fields. What we'll show here is an example using Filebeat to ship data to an ingest pipeline, index it, and visualize it with Kibana. RDF may be simple at heart, but is it reasonable to ask the average user to figure it out, to expect that the average user of metadata will even be able to grok the abstractions? I may be reiterating your earlier sentiment, but I worry that the abstractions are as much an impediment as the spec and the syntax. Adding a custom field in filebeat that is geocoded to a geoip field in ElasticSearch on ELK so that it can be plotted on a map in Kibana. blog is not like a lot. repositories#create 2. Postfix log filtering. Log Aggregation with Log4j, Spring, and Logstash. A good tool I used to get to grok filter definitions is Grok debugger. If you've already grok{}'ed out a field called 'apache_timestamp', your date{} stanza might look like this:. Application Logging With Logstash 2. Logstash GROK filter is written in the following form − %{PATTERN:FieldName} Here, PATTERN represents the GROK pattern and the fieldname is the name of the field, which represents the parsed data in the output. if [message] =~ "\tat" → If message contains tab character followed by at (this is ruby syntax) then. Example : Suppose our requirement is to parse below log line and retrieve all information like Loglevel, timestamp, ClassName, threadNumber and logContent. DESCRIPTION This file contains the documentation of the perl public API generated by embed. The syntax is how you match. It doesn't really help here since. For example, "3. Welcome to our guide on how to debug Logstash Grok filters. Grok Debugger-- Simply amazing. What This Book Covers Chapter 1, Getting to Know Grok, goes into what makes Grok an attractive option for Python web development. If the Kibana service is running, just navigate here:. The grok filter plugin is one of the most popular plugins used by Logstash users. 04 tutorial, and focuses primarily on adding Logstash filters for various common application logs. If an event fails to parse via our grok plugin then it gets a tag of _grokparsefailure. Matcher and Filter. See the Debugging in Visual Studio MSDN article for more information. Click the F11 key to execute the "Step Into" command. The contents of UGrokItAndroidSdk. Grok Debugger If you run in any kind of trouble with grok then you should use the Grok Debugger. First thing to read is the excellent documentation about grok on the Logstash website. Use the regex with source code snippets automatically adjusted to the particulars of your programming language. I in this example wanted to extract the load average fields from the nagios check and plot them through graphite which looks the the image below. Application Logging With Logstash 1. Logstash: Using metrics to debug the filtering process When building your logstash filter, you would often like to validate your assumptions on a large sampling of input events without sending all the output to ElasticSearch. 3, the grok definition syntax was enhanced to support three basic data types. You can disable XSS filter to stop script errors. It doesn't really help here since. In order to effectively analyze and query any data that has been sent to Elk Stack your information must be readable. Kibana 7 comes bundled with Grok Debugger which is similar to herokuapp grokdebugger. The first one that matches from top to bottom is the one that does the parsing. At Canadian Web Hosting we are continually looking for new ways to look at our data and one of the tools we utilize is Logstash Grok. log from the Raspberry Pi. See link to the lower left. Debug logs capture bootstrap, application configuration, runtime, deployment, monitoring and reporting, and public key infrastructure (PKI) information. We also found it useful to take complex filters and define a custom grok pattern to simplify the configuration. Windows SDK The U Grok It SDK for Windows enables easy integration of RFID functionality into a Windows 7, Windows 8 or Windows 10 app (currently Intel platforms only). How to develop Logstash configuration files. Sign in Sign up Instantly share code, notes. 0 Web Development NEW by Carlos Guardia - eBay. It is perfect for syslog logs, Apache and other web server logs, MySQL logs or any human readable log format. taking care of things while building your first pwa. 04 tutorial, and focuses primarily on adding Logstash filters for various common application logs. An Introduction to Logstash Grok. Re: How to query complex regex pattern in nagios log server by scottwilkerson » Thu Feb 26, 2015 3:03 pm 1. Logstash is written in (j)ruby. Upon match, the grok syntax, and the logstash grok-filter plugin, enables logstash to decompose the original log line into all of its components, as independent (yet still related to a same event) pieces of information, that can be classified, converted (from text to an integer or float, so statistics can be performed, for instance), expanded. Red Team Telemetry: Empire Edition Previously I’ve written and presented on Red Team Telemetry that focused on Cobalt Strike. In this post I'll cover how to gain similar insight with Empire and as a bonus any command-line tools. d# /usr/bin/java -Xmx512m -Djava. "repo":"username/reponame". So first thing is to configure FileBeat. For certain debugging purposes you may find useful to read first the following notes on mod_perl internals: Apache 2. No cloud or web server needed. The grok debugger usually lives at http://grokdebug. d# /usr/bin/java -Xmx512m -Djava. A while back, we posted a quick blog on how to parse csv files with Logstash, so I'd like to provide the ingest pipeline version of that for comparison's sake. Here is the list of all the matchers and filters natively implemented by Datadog:. It has a preset of existing patterns. This article focuses on one of the most popular and useful filter plugins - Logstash Grok Filter, which is used to parse unstructured data into structured data making it ready for aggregation and analysis in the ELK. It's not entirely clear what you're trying to do with this grok filter. RegExr is an online tool to learn, build, & test Regular Expressions (RegEx / RegExp). 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. It is a great tool for parsing log data and program output. We've used "WORD" (a single word), "DATA" (non-greedy catchall), "PATH" (a Unix or Windows file path) and "POSINT" (a positive integer). grok seems to be the default way to filter events in Logstash. the input seems to work fine: input { stdin { } } The output is this: output { stdout { codec => json } file { codec => json path => /tmp/debug-filters. Cloud Computing. To apply the firewall filter to a logical interface: Configure the logical interface to which you will apply the firewall filter. grok filter which works in grok debugger, but not in LS. ShopTalk is a podcast all about front-end web design and development. This is a Grok filter plugin. 2, an advanced file parsing engine from Microsoft that runs on all versions of Windows OS. First of all, Grok is an English neologism that means “to understand. This caters for any appropriately formatted Syslog messages we might receive. You can either use regexp conditionals to choose between different filters (see the documentation for examples) or list multiple grok patterns that'll be applied in order with first-match-wins policy. log from the Raspberry Pi. Not having much luck at the moment and am wondering if there's any filter/grok wizards around? At the moment the log syntax are coming through to logstash looks like this:. grok is a filter plugin and “is perfect for syslog logs, apache and other webserver logs, mysql logs, and in general, any log format that is generally written for humans and not computer consumption. We will be sending our log events to stdout (console output, for debugging) and to Elasticsearch. Logstash Grok, JSON Filter and JSON Input performance comparison (Targetting OPS) Logstash Grok, JSON Filter and JSON Input performance comparison As part of the VRR strategy altogether, I've performed a little experiment to compare performance for different configurations. The is where you can do things like use grok patterns to split data into fields based off the message and other neat little features for manipulating your data. the ts field hasn't been set). I in this example wanted to extract the load average fields from the nagios check and plot them through graphite which looks the the image below. Valid values are fatal, error, warn, info, and debug. grok filter provides parsing of the unstructured log data into something query-able; Log data: 2017-06-21 22:18:25,276 - util. It uses the type field to match any incoming events tagged with syslog (most likely by our tcp and udp input plugins) and pass them to the filter. The fact-checkers, whose work is more and more important for those who prefer facts over lies, police the line between fact and falsehood on a day-to-day basis, and do a great job. Today, my small contribution is to pass along a very good overview that reflects on one of Trump’s favorite overarching falsehoods. Namely: Trump describes an America in which everything was going down the tubes under  Obama, which is why we needed Trump to make America great again. And he claims that this project has come to fruition, with America setting records for prosperity under his leadership and guidance. “Obama bad; Trump good” is pretty much his analysis in all areas and measurement of U.S. activity, especially economically. Even if this were true, it would reflect poorly on Trump’s character, but it has the added problem of being false, a big lie made up of many small ones. Personally, I don’t assume that all economic measurements directly reflect the leadership of whoever occupies the Oval Office, nor am I smart enough to figure out what causes what in the economy. But the idea that presidents get the credit or the blame for the economy during their tenure is a political fact of life. Trump, in his adorable, immodest mendacity, not only claims credit for everything good that happens in the economy, but tells people, literally and specifically, that they have to vote for him even if they hate him, because without his guidance, their 401(k) accounts “will go down the tubes.” That would be offensive even if it were true, but it is utterly false. The stock market has been on a 10-year run of steady gains that began in 2009, the year Barack Obama was inaugurated. But why would anyone care about that? It’s only an unarguable, stubborn fact. Still, speaking of facts, there are so many measurements and indicators of how the economy is doing, that those not committed to an honest investigation can find evidence for whatever they want to believe. Trump and his most committed followers want to believe that everything was terrible under Barack Obama and great under Trump. That’s baloney. Anyone who believes that believes something false. And a series of charts and graphs published Monday in the Washington Post and explained by Economics Correspondent Heather Long provides the data that tells the tale. The details are complicated. Click through to the link above and you’ll learn much. But the overview is pretty simply this: The U.S. economy had a major meltdown in the last year of the George W. Bush presidency. Again, I’m not smart enough to know how much of this was Bush’s “fault.” But he had been in office for six years when the trouble started. So, if it’s ever reasonable to hold a president accountable for the performance of the economy, the timeline is bad for Bush. GDP growth went negative. Job growth fell sharply and then went negative. Median household income shrank. The Dow Jones Industrial Average dropped by more than 5,000 points! U.S. manufacturing output plunged, as did average home values, as did average hourly wages, as did measures of consumer confidence and most other indicators of economic health. (Backup for that is contained in the Post piece I linked to above.) Barack Obama inherited that mess of falling numbers, which continued during his first year in office, 2009, as he put in place policies designed to turn it around. By 2010, Obama’s second year, pretty much all of the negative numbers had turned positive. By the time Obama was up for reelection in 2012, all of them were headed in the right direction, which is certainly among the reasons voters gave him a second term by a solid (not landslide) margin. Basically, all of those good numbers continued throughout the second Obama term. The U.S. GDP, probably the single best measure of how the economy is doing, grew by 2.9 percent in 2015, which was Obama’s seventh year in office and was the best GDP growth number since before the crash of the late Bush years. GDP growth slowed to 1.6 percent in 2016, which may have been among the indicators that supported Trump’s campaign-year argument that everything was going to hell and only he could fix it. During the first year of Trump, GDP growth grew to 2.4 percent, which is decent but not great and anyway, a reasonable person would acknowledge that — to the degree that economic performance is to the credit or blame of the president — the performance in the first year of a new president is a mixture of the old and new policies. In Trump’s second year, 2018, the GDP grew 2.9 percent, equaling Obama’s best year, and so far in 2019, the growth rate has fallen to 2.1 percent, a mediocre number and a decline for which Trump presumably accepts no responsibility and blames either Nancy Pelosi, Ilhan Omar or, if he can swing it, Barack Obama. I suppose it’s natural for a president to want to take credit for everything good that happens on his (or someday her) watch, but not the blame for anything bad. Trump is more blatant about this than most. If we judge by his bad but remarkably steady approval ratings (today, according to the average maintained by 538.com, it’s 41.9 approval/ 53.7 disapproval) the pretty-good economy is not winning him new supporters, nor is his constant exaggeration of his accomplishments costing him many old ones). I already offered it above, but the full Washington Post workup of these numbers, and commentary/explanation by economics correspondent Heather Long, are here. On a related matter, if you care about what used to be called fiscal conservatism, which is the belief that federal debt and deficit matter, here’s a New York Times analysis, based on Congressional Budget Office data, suggesting that the annual budget deficit (that’s the amount the government borrows every year reflecting that amount by which federal spending exceeds revenues) which fell steadily during the Obama years, from a peak of $1.4 trillion at the beginning of the Obama administration, to $585 billion in 2016 (Obama’s last year in office), will be back up to $960 billion this fiscal year, and back over $1 trillion in 2020. (Here’s the New York Times piece detailing those numbers.) Trump is currently floating various tax cuts for the rich and the poor that will presumably worsen those projections, if passed. As the Times piece reported: