Tags » ElasticSearch

ELK : exporting to CSV

Note: the following requires the “jq” json parser, available from: http://stedolan.github.io/jq/

1. Run the desired query through the Kibana WebUI

2. Expand the additional options pane by clicking on the arrow underneath the graph as indicated in the below screenshot: 206 more words

Work

Elasticsearch - Aggregation

Elasticsearch Aggregation provides capability similar to RDBMS group by opeartor.
Facets provide a great way to aggregate data within a document set context. This context is defined by the executed query in combination with the different levels of filters that can be defined (filtered queries, top-level filters, and facet level filters). 234 more words

Elasticsearch

Using nginx to provide authentication to Elasticsearch / Kibana

Friends authentication & authorization is always an important requirement for development of any application.

In this post i am going to show you how to provide authentication to elasticsearch / kibana using Nginx server. 197 more words

Elasticsearch

AlienVault ELK Integration

In the last couple of blog posts[1][2] we’ve been exploring how to use the ELK stack as a forensic logging platform. We also had a couple of posts on deploying some AlienVault features… 771 more words

Open Source

Using Elasticsearch Watcher to create data events in ASP.NET MVC 6

This article shows how to setup Elasticsearch Watcher in Elasticsearch to call an MVC controller in an ASP.NET 5 application. The controller action method will handle these events in part 3 of this blog series. 1,325 more words

.NET

Steps for setting up Elasticsearch, logstash and Kibana on Ubuntu 15.04

Here’s a dump of all the steps you need to perform to setup a ELK instance on your VM

sudo apt-get update && sudo apt-get install openssh-server && sudo service ssh restart… 302 more words

Ubuntu

Replaying Elasticsearch Slowlogs with Logstash and JMeter

Sometimes we just need to replay production queries – whether it’s because we want a realistic load test for the new version of a product or because we want to reproduce, in a test environment, a bug that only occurs in production (isn’t it lovely when that happens? 1,008 more words

Elasticsearch