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This document details Elastic\'s introduction of hosted offerings for Elasticsearch, including \'Found Standard\' and \'Found Premium\' subscription models aimed at developers, startups, and larger enterprises. It discusses the growth of Elastic as a company and its strategic partnerships to enhance its services and product offerings, particularly in leveraging open source technology within commercial frameworks.
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01
Sign up for an account on the Elasticsearch-as-a-Service platform.
02
Log in to your dashboard and navigate to the 'Create Cluster' section.
03
Select the desired specifications for your Elasticsearch cluster, including the region, instance type, and resources.
04
Configure additional settings, such as security options, monitoring, and backup features.
05
Review the configurations and pricing before proceeding.
06
Click 'Create' to launch your Elasticsearch cluster.
07
Once the cluster is up and running, access the API credentials provided.
08
Use the provided endpoint and credentials to access your Elasticsearch cluster.

Who needs elastic rolls out elasticsearchas-a-service?

01
Businesses and organizations looking for a managed search solution.
02
Developers who want to integrate powerful search functionality into their applications.
03
Data analysts needing a reliable and scalable platform for managing large datasets.
04
Companies requiring real-time data analysis and visualization capabilities.
05
Startups looking for a cost-effective search solution without the overhead of managing infrastructure.
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Elastic rollouts Elasticsearch as-a-Service is a cloud-based solution that allows users to deploy, manage, and scale Elasticsearch clusters without needing to manage the underlying infrastructure.
Businesses and developers who utilize Elasticsearch as-a-Service must file relevant documentation to comply with regulations and reporting requirements.
To fill out Elasticsearch as-a-Service documentation, users need to provide accurate information regarding their usage, deployment details, and any relevant metrics as specified in the guidelines.
The purpose of Elasticsearch as-a-Service is to simplify the deployment and management of Elasticsearch for users, enabling them to focus on their applications instead of infrastructure.
Users must report information such as usage statistics, configuration details, and performance metrics associated with their Elasticsearch as-a-Service instances.
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