I am building an alert using Elasticsearch and I need to access the data for one of the logstash nodes for how many events it is receiving per second. On the Monitoring (formally Marvel) tab, this information is readily available in graph format. Is there anyway to get that same information using an ELK API aside from scripting something?
Take a look at the Logstash Metrics filter plugin
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We are using Elastic APM for monitoring our APIs. It shows queries status and useful information about the queries. I want to have the same information about the queries which are sent to Elasticsearch server.
I want to have information about queries, time, status code, etc. Is there any plugin in Elastic stack that I can use for this purpose?
For a high-level overview type of information, have a look at Elastic Stack Monitoring.
If you want to look at any monitoring in more detail, have a look at the monitoring APIs themselves.
If you want to log this sort of information, you should set thresholds for your Elasticsearch slow log.
If you want to index and then view data from the slow log, you can always use Filebeat to ingest that slow log data back into Elasticsearch.
I am not understanding the concept why file beat is required while we have a logstash.
With filebeat you are able to collect and forward logfiles from one or many remote servers.
There is also a option to add source specific fields to your log entries.
You have several output options like elasticsearch or logstash for further analysis/filtering/modification.
Just imagine 20 or 200 machines running services like databases, webservers, hosting applications and containers. And now you need to collect all the logs...
only with logstash you'll be pretty limited in this scenario
Beats are light-weight agents used primarily for forwarding events from multiple sources. Beats have a small footprint and use fewer system resources than Logstash.
Logstash has a larger footprint, but provides a broad array of input, filter, and output plugins for collecting, enriching, and transforming data from a variety of sources.
Please note though that filebeat is also capable of parsing for most use cases using Ingest Node as described here.
I am a newbie in the ElasticSearch's wonderful world so please be indulgent.
I am thinking about an import and synchronisation strategy for a Microsoft sql data source and if I did not misunderstand, I can use the input plugins JDBC or Beats.
But I don't see what are the deeps differences between them,
what are their usefulness? When use one or other one?
What are their benefits and their drawbacks?
Thank you if you can help me
They serve different purposes. Beats is another offering of the Elastic Stack, which is basically a platform for collecting and shipping data (logs, network packets, any kind of metrics, protocol data, etc) from the periphery of your architecture. Even though Beats also allows you to listen on the MySQL protocol and collect all kinds of metrics from your DB, it has nothing to do with loading data from your DB and load it into Elasticsearch. For that you can use the jdbc input plugin whose job is mainly to run a given query on regular time intervals and send each retrieved DB record as event through the Logstash pipeline to be processed further and sent to a variety of different outputs.
In a v1.0 of a .Net data crawler, I created a Windows service that would read URLs from a database and based on some logic would select what to crawl on a specified interval.
This was single-threaded and worked well for a low number of endpoints, but scaling is obviously an issue.
I'm trying to find out how to do this using the ElasticSearch (ELK) stack and came across HTTPBeat,
a Beat to poll HTTP endpoints in a regular interval and ship the
result to the configured output channel, e.g. Logstash and
Elasticsearch.
In looking at the documentation, you have to add URLs to the config.yaml file. Not what I'm looking for as the list of URLs could change and we may not want all URLs crawled at the same time.
Then there's RSS for Logstash, which is a command-line tool - again, not what I'm looking for.
Is there a way to make use of the Beats daemon to read from the ElasticSearch database to do work based on database values - crawls, etc?
To take this to the enterprise level, do Beats or any other component of the ElasticSearch ecosystem use message queuing or a spooler (like FileBeats does - is this built into Beats?)?
We are using elasticsearch as back-end for our in-house logging and monitoring system. We have multiple sites pouring in data to one ES cluster but in different index. e.g. abc-us has data from US site, abc-india has it from India site.
Now concerns are we need some security checks before pushing in data to cluster.
data coming to index is coming from right IP address
incoming json request is of inserting new data and not delete/update
while reading we want certain IP should not be able to read data of other index.
Kindly let me know if its possible to achieve using elasticsearch.
The elasticsearch-jetty plugin brings full power of Jetty and adds several new features to elasticsearch. With this plugin elasticsearch can now handle SSL connections, support basic authentication, and log all or some incoming requests in plain text or json formats.
The idea is to add a Jetty wrapper to ElasticSearch, as a plugin.
What remains is only to restrict certain URL and some methods (eg DELETE) to some users.
You can find elasticsearch-jetty on github with detailed specification about it's usage, configuration and limitations of course.