Elasticsearch, A distributed, RESTful search and analytics engine Today we will Setup a 2 Node Elasticsearch Cluster on CentOS 7 and go through some API examples on creating indexes, ingesting documents, searches etc. But before we get to that, let's
Elasticsearch
A collection of 24 posts
AWS: Access Kibana 5 behind ELB via Nginx Reverse Proxy on Custom DNS
Update: [amazon-web-services-releases-elasticsearch-vpc-support/] (GHOST_URL/amazon-web-services-releases-elasticsearch-vpc-support/) In one of my previous posts: Secure Access to Kibana on AWS Elasticsearch Service, I walked you through on how to setup Basic HTTP Authentication to secure your Kibana UI. window.dojoRequire(["mojo/signup-forms/Loader"
Secure Access to Kibana on AWS Elasticsearch Service
With Amazon Web Services offering of Elasticsearch you can secure your search domain using resource-based, IP-Based, and IAM user and role-based access policies. However, these do not apply for Kibana. You can secure your endpoint using IP-Based access policies, and
AWS Elasticsearch Register S3 Repository for Snapshots using the CLI
In order to make a manual Snapshot in Amazon's Elasticsearch Service, we need to create a S3 repository where the data will reside. In order to do this, we need to sign the request with an IAM role that grants
Searching Data with Python and ElasticSearch
In this tutorial I will show you how to get started with Python and Elasticsearch, to be able to search for people's Name and Email addresses, based on their Job Descriptions. I will show you how to get setup, populate
Build a Search Engine with PHP and Elasticsearch
The idea was to test the functionality of elasticsearch. I developed a basic website to be able to add bookmarks and references to websites, with the functionality of adding descriptive information about the bookmark. So then when I search for
Getting Started with AWS Elasticsearch Service
Elasticsearch - What is it? Elasticsearch is a search server based on Lucene. It provides a distributed, multitenant-capable full-text search engine with an HTTP web interface and schema-free JSON documents. Elasticsearch is developed in Java and is released as open
Setup ELK Stack with Elasticsearch Kibana Logstash
~Note:~ This post is old and is scheduled to be updated. Centralized logging, analytics and visualization with ElasticSearch, Filebeat, Kibana and Logstash. Our ELK Stack will consist of: Elasticsearch: Stores all of the logs Kibana: Web interface for searching and
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