Managed Elasticsearch

A fast, scalable, resilient and highly flexible distributed search and analytics engine on AWS, Azure, GCP and IBM Cloud

Real-time Search and Analytics Made Possible

Instaclustr’s fully managed Elasticsearch is SOC 2 certified and comes with 24/7 expert support making it easy to deploy, secure, manage, operate and scale Elasticsearch to search, analyse and visualize your data.

Most Popular Open Source Search Engine

Built on Apache Lucene and based on Java, Elasticsearch is the world’s most popular open source search and analytics engine. It provides a scalable search solution and can be used extensively to search all kinds of documents and datasets. Elasticsearch uses Lucene Standard Analyzer for indexing, automatic type guessing and high precision.

Our Expertise

We have built Managed Elasticsearch on our related experience from Elassandra, the Elasticsearch-Cassandra integrated solution. We migrated our internal Elassandra cluster (central logging solution) to Elasticsearch and are running 24/7 for log analysis from >2000 servers. Our team of seasoned Elasticsearch experts also have operational disciplines with Cassandra and Kafka.

Get in Touch

Instaclustr Managed Elasticsearch Advantages

Instaclustr Managed Elasticsearch Advantages

Critical Application Level Support and SLAs

Our heritage is running and supporting Apache Cassandra - a technology used for the most demanding of applications - we bring the high quality, fast response support and SLAs we provide to Cassandra to our Managed Elasticsearch.

Run in our cloud provider account or yours

Instaclustr fully managed Elasticsearch lets you run in our cloud provider account, we call this Run In Our Account (RIOA) or your own account, Run In Your Own Account (RIYOA).

Open source (Apache licensed) Elasticsearch automatically provisioned in AWS, GCP and Azure

With over 30 million node hours and over two petabytes of data under management, we provide the most reliable way to provision Elasticsearch in the cloud.

SOC 2 compliant

Managed Elasticsearch is SOC 2 certified, ensuring that your data integrity is always protected and meets the highest possible industry standards

Automated clone from backup

We run backups of your cluster at regular intervals. These can be used to restore data should it be corrupted by an application or to recover from a data center disaster, and can also be used to create a clone of your cluster for purposes such as development and testing.

Instaclustr monitoring and provisioning API support

Our fully managed Elasticsearch provides easy-to-use monitoring and provisioning APIs to power most common use cases such as log analytics, full-text search and security intelligence, business analytics and operational intelligence. We collect and monitor over one thousand different metrics from every node we manage. That lets us know exactly what the availability and performance of your cluster is at any time.

Managed Kibana

Instaclustr Managed service also includes open source Kibana, that lets you visualize Elasticsearch data and navigate the Elastic Stack giving you freedom to select the way you want to present the data including - histograms, pie chart, line graphs. Kibana can also help you visualize in variety of formats including geospatial, graph exploration, time series and more.

Integrated with open source technology and part of Instaclustr Managed Platform

We delivers reliability at scale through our managed data platform of open source technologies such as Apache Cassandra®, Apache Kafka®, Apache Spark™ and Elasticsearch, making it easy to deploy and manage the most advanced open source data-related technologies. Together with the right infrastructure and cloud providers, advanced security and a highly experienced support team.

Elasticsearch Features

Easy to deploy open source distributed RESTful search and analytics engine

Elasticsearch is distributed, which means that indices can be divided into shards and each shard can have zero or more replicas. The distributed nature of Elasticsearch enables it to process large volumes of data in parallel, quickly finding the best matches for your queries.

Document Oriented

A document-oriented database is designed to store, retrieve, and manage document-oriented or semi-structured. In Elasticsearch there is no need for upfront schema definition. Schema can be defined for customization of the indexing process.

Near Real-Time Search

Elasticsearch is capable of indexing newly written data almost instantly. This means your applications can get the latest data in a near real-time manner. This capability is helpful for use cases such as application monitoring and anomaly detection.

Horizontally Scalable

Elasticsearch provides the ability to expand your cluster while automatically balancing search and indexing

Built-in Clustering Support

It has built-in clustering support which essentially means that within one cluster you can run Elasticsearch on lots of servers and still perform an effective search.

High Performance

Elasticsearch provides high-performance search. Internally, it is built with optimized algorithms and data structures to suit any type of data you choose to store and index in it. Your applications can search data

Elasticsearch Use Case

Elasticsearch  Use Case

Elasticsearch is easy to use, administer and manage. It is most commonly used for

  • Log Analytics – Elasticsearch lets you analyse unstructured or semi structured log generated by websites, servers, sensor etc.
  • Full text search – With Elasticsearch you can provide personalised search experience to user on your applications.
  • Security Analytics – Elasticsearch lets you centralize and analyze events from across the entire organisation to enhance incident response and monitor threat across all their applications and system in real time.  
  • Click Stream Analytics- Get understanding on the real-time content delivered to your users, as well has interpret the data and generate reports related to different areas of interest.

 

How it Works

Elasticsearch provides REST APIs making it application agnostic. That means, no matter what application stack you have, as long as it can make REST API calls, it can easily integrate with Elasticsearch. The open-source community has built many Elasticsearch clients for Java, Python, PHP, JavaScript, Node.js, Ruby, and many more, which you can leverage to speed the integration.

 

Ready to experience the power of Elasticsearch?

Related Solutions

Site by Swell Design Group