Elastic docs mentions that Elastic data stream supports the following types: logs, metrics and synthetics. What are the differences between these types?
I tested storing some data as logs and metrics types separately and I don't see any difference when querying the data. Are both types interchangeable or are they stored differently?
Those are different types of data sets collected by the new Elastic Agent and Fleet integration:
The logs type is for logs data, i.e. what Filebeat used to send to Elasticsearch.
The metrics type is for metric data, i.e. what Metricbeat used to send to Elasticsearch
The synthetics type is for uptime and status check data, i.e. what Heartbeat used to send to Elasticsearch.
Now, with Fleet, all the Beats have been refactored into a single agent called Elastic Agent which can do all of that, so instead of having to install all the *Beats, you just need to install that agent and enable/disable/configure whatever type of data you want to gather and index into Elasticsearch. All of that through a nice, powerful and centralized Kibana UI.
Beats are now simply Elastic Agent modules that you can enable/disable and they will all write their data into indexes that follow a new taxonomy and naming scheme, which is based on those types, which are nothing more than a generic way describing the nature of data they contain, i.e. logs, metrics, synthetics, etc.
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OK,my problem is if it is possible to use logstash to perform statistical analysis on the collected log data.Now I have used filebeat to collect nginx logs into the es cluster and put the required labels on these logs.I plan to read these logs from the es cluster and write a program to make statistics on these logs, such as the traffic in a certain region for a period of time.Now, I want to know whether the logs collected by filebeat can be transferred to logstash for data statistics.
After a short period of research, I haven't found that logstash has this function. I hope you can help me.Thanks.
I want to know whether logstash can realize the functions I need
Logstash is basically ingests, transforms, and ships your data regardless of format or complexity. Derive structure from unstructured data with grok, decipher geo coordinates from IP addresses, anonymize or exclude sensitive fields, and ease overall processing. For I don't know your specific use case, but you can use Kibana for analyzing statistical data. You even don't need logstash if you have a node in your elasticsearch cluster with ingest node roles.
I am trying to Use my Elastic search server installed in my local machine to use Postman .i.e., With the help of Postman I want to Post Data and retrieve it with a get operation but unable to do it as I am getting error unknown key [High] for create index
So please help me with the same.
If you want to add a document to your index,
your url should look something like this ( for document ID 1 ) :
PUT http://localhost:9200/test/_doc/1
A good place to start :
https://www.elastic.co/guide/en/elasticsearch/reference/current/getting-started-index.html
For indexing document in the index
PUT http://localhost:9200/my_index/_doc/1
Retrieving indexed document
GET http://localhost:9200/my_index/_doc/1
Introduction:
Elasticsearch is a distributed, RESTful search and analytics engine capable of addressing a growing number of use cases. As the heart of the Elastic Stack, it centrally stores your data for lightning fast search, fine‑tuned relevancy, and powerful analytics that scale with ease.
Kibana is a free and open user interface that lets you visualize your Elasticsearch data and navigate the Elastic Stack. Do anything from tracking query load to understanding the way requests flow through your apps.
Logstash is a free and open server-side data processing pipeline that ingests data from a multitude of sources, transforms it, and then sends it to your favorite “stash.” .
Elasticsearch exposes itself through rest API so in this case you don't have to use logstash as we are directly adding data to elastic search
How to add it directly
you can create an index and type using :
{{url}}/index/type
where index is like a table and type is like just a unique data type that we will be storing to the index. Eg {{url}/movielist/movie
https://praveendavidmathew.medium.com/visualization-using-kibana-and-elastic-search-d04b388a3032
I am a newbie to Elasticsearch. We are currently using Splunk platform for our analytics application and looking to migrate to ELK. Splunk provides options to schedule searches to run in background periodically and to store the search results in a separate summary index. Is similar functionality available in Elasticsearch? If so, please point me to the documentation containing the process.
Thanks,
Keerthana
This is a great use case. Of course Elasticsearch can perform such tasks, but it is more manual. You have to write your own script. So for example, if you want to summarize data, you can use ElasticSearch aggregations, and take the result (which comes in JSON format) and store it back into an index where you keep summary data. This way, even if you delete your raw data, your summary data lives on.
Elasticsearch comes with different clients. I like to use the Python Elasticsearch DSL library.
How are events indexed and stored by Elasticsearch when using ELK (Elastichsearch, Logstash, Kibana)
How does Elasticsearch work in ELK
Looks like you got downvoted for not just reading up at elastic.co, but...
logstash picks up unstructured data from log files and other sources, transforms it into structured data, and inserts it into elasticsearch.
elasticsearch is the document repository. While it's not useful for log information, it's a text engine at heart and can analyze the data (tokenization, stop words, stemming, etc).
kibana reads from elasticsearch and allows you to explore the data and make dashboards.
That's the 30,000-ft overview.
Elasticsearch have the function of database on ELK Stack.
You can read more information about Elasticsearch and ELK Stack here: https://www.elastic.co/guide/en/elasticsearch/guide/current/index.html.
first of all you will have logs file that you used to write system logs on it
for example when you add new record to database you will write the record in any form you need to log file like
date,"name":"system","serial":"1234" .....
after that you will add your configuration in logstash to parse the data from the logs
and it will be like
name : system
.....
and the data will saved in elastic search
kibana is used to preview the elastic search data
and you can use send a request to elasticsearch with the required query and get your data from it
Right, so I am trying to get a list of metric_names for a particular namespace (I'd rather it be for an object, but I'm working with what I've got) using AWS Ruby sdk, and cloudwatch has the list_metrics function, awesome!..
Except that list_metrics doesn't return what unit's and statistics a metric supports which is a bit stupid as you need both to request data from a metric.
If you're trying to dynamically build a list of metrics per namespace (which I am) you won't know what unit's or statistics a particular metric might support without knowing about the metrics before hand which makes using list_metrics to dynamically get a list of metrics pointless.
How do I get around this so I can build a hash in the correct format containing the metrics for any namespace without knowing anything about a metric before hand except for the hash structure.
Also why is there not a query for what metrics an object (dynamo,elb,etc) has?
It seems a logical thing to have because a metric does not exist for an object unless it's actually spat out data for that metric at least once (so I've been told); which means even if you have a list of all the metrics a namespace supports, it doesn't mean that an object within the namespace will have those metrics.
CloudWatch is a very general-purpose tool, with a generic schema for all metric data in the MetricDatum structure. But individual metrics have no schema other than the data sent in practice.
So there is no object for Dynamo, EC2, etc. that projects what metrics might be sent. There is only metric data that has already been sent with a particular namespace. Amazon CloudWatch Namespaces, Dimensions, and Metrics Reference documents the metric schema for many or all of the metrics AWS services capture. I know that's not what you wanted.
You can query any CloudWatch metric support by any of the statistics tracked by CloudWatch (SampleCount, Minimum, Maximum, Average, and Sum). CloudWatch requires that incoming metric data either include all statistics or with raw values that allow the statistics to be calculated.
I don't know of any way to get the units other than to query the data and look through what is returned.