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Amazon Elasticsearch Service

Amazon Elasticsearch Service

Fully managed, reliable, and scalable Elasticsearch service.

Amazon Elasticsearch Service makes it easy to deploy, secure, operate, and scale Elasticsearch for log analytics, full text search, application monitoring, and more.

Amazon Elasticsearch Service is a fully managed service that delivers Elasticsearch’s easy-to-use APIs and real-time analytics capabilities alongside the availability, scalability, and security that production workloads require.

The service offers built-in integrations with Kibana, Logstash, and AWS services including Amazon Virtual Private Cloud (VPC), AWS Key Management Service (KMS), Amazon Kinesis Data Firehose, AWS Lambda, Amazon Cognito and Amazon CloudWatch so that you can go from raw data to actionable insights quickly and securely.

You can securely access the domain from your VPC or from a public endpoint.

The service automatically detects and replaces failed Elasticsearch nodes, reducing the overhead associated with self-managed infrastructure and the Elasticsearch software.

Amazon Elasticsearch Service allows you to easily scale your cluster to over a petabyte of data via a single API call or a few clicks in the console. With Amazon Elasticsearch Service, you get direct access to the Elasticsearch open-source API so the code and applications you’re already using with your existing Elasticsearch environments work seamlessly.

With Amazon Elasticsearch Service, you only pay for what you use. There is no minimum fee or usage requirement.

Benefits

Easy to Use

You can deploy a production-ready Elasticsearch cluster in minutes using Amazon Elasticsearch Service without having to worry about provisioning infrastructure or installing and maintaining Elasticsearch software. Amazon Elasticsearch Service is a fully managed service that simplifies time-consuming management tasks such as software patching, failure recovery, backups, and monitoring.

Supports Open-Source APIs and Tools

Amazon Elasticsearch Service gives you direct access to the Elasticsearch open-source API so you don’t have to learn new programming skills. Amazon Elasticsearch Service supports Logstash, an open-source data ingestion, transformation, and loading tool; and Kibana, an open-source visualization tool.

Secure

Amazon Elasticsearch Service provides multiple levels of security for your domain. It provides network isolation using Amazon Virtual Private Cloud (VPC), encryption of data at rest using keys you create and control through AWS Key Management Service (KMS), and authentication and access control using Amazon Cognito and AWS Identity and Access Management (IAM) policies. Amazon Elasticsearch Service routinely applies security patches and keeps your domain up-to-date.

Highly Available

Amazon Elasticsearch Service is designed to be highly available using zone awareness, which replicates data between two Availability Zones in the same region. Amazon Elasticsearch Service monitors the health of your clusters and automatically replaces failed nodes.

Tightly Integrated with Other AWS Services

Amazon Elasticsearch Service offers built-in integrations with other AWS services including Kinesis Data Firehose, AWS IoT, and Amazon CloudWatch Logs for seamless data ingestion; AWS CloudTrail for auditing; Amazon VPC, AWS KMS, Amazon Cognito, and AWS IAM for security; and AWS CloudFormation for cloud orchestration.

Easily Scalable

Amazon Elasticsearch Service allows you to launch petabyte-scale clusters. The service enables you to monitor your cluster through Amazon CloudWatch metrics and resize your cluster up or down via a single API call or a few clicks in the AWS Management Console. You can configure your cluster to meet your performance requirements by selecting from a range of instance types and storage options including SSD-powered EBS volumes.

Other Companies Using Amazon Elasticsearch Service

MLB Advanced MediaExpediaAdobeComcast

Employees

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Cody Swann

Since founding Gunner Technology, Cody has served the company in every aspect of business development and product development.

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Dary Merckens

From a contractor to a partner, Dary has been with Gunner since year 1 and embodies the meritocratic spirit and philosophy of Gunner Technology.

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Mahdi Huessein

Mahdi joined Gunner at age 18 and quickly rose through the ranks to become VP of Engineering

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Elena Villanueva

From Sensors and Big Data to Media Queries and Form Validation, Elena has worked on pretty much anything you can imagine.

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Kayden Chan

Kayden holds the Gunner Technology record for most straight hours worked at just under 70. He refuses to quit until the job is done and it's done right.

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Ethan Sloan

Ethan has a mind for infrastructure and a knack for visualizing platform solutions

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Nicolas Henderson

Nicolas' goal is to learn everything. A voracious reader, the only time his nose isn't in a tech book is when he's scripting a new infrastructure.

Projects

References

Related Terms

  • Amazon Web Services

    Amazon Web Services (AWS) is a comprehensive, evolving cloud computing platform provided by Amazon.

  • Self-healing

    A system that can detect that it's not operating property and fix itself without human intervention.

  • NoSQL

    NoSQL is a class of DBMS that do not follow all of the rules of a relational DBMS and cannot use traditional SQL to query data.

  • Serverless

    Serverless computing is an event-driven application design and deployment paradigm in which computing resources are provided as scalable cloud services.