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Amazon Elasticsearch Service Developer Guide
Amazon Elasticsearch Service Developer Guide
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79,65 €
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Amazon Elasticsearch Service (Amazon ES) is a managed service that makes it easy to deploy, operate, and scale Elasticsearch clusters in the AWS Cloud. Elasticsearch is a popular open-source search and analytics engine for use cases such as log analytics, real-time application monitoring, and clickstream analytics. With Amazon ES, you get direct access to the Elasticsearch APIs so that existing code and applications work seamlessly with the service. Amazon ES provisions all the resources for yo…

Amazon Elasticsearch Service Developer Guide (el. knyga) (skaityta knyga) | knygos.lt

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Amazon Elasticsearch Service (Amazon ES) is a managed service that makes it easy to deploy, operate, and scale Elasticsearch clusters in the AWS Cloud. Elasticsearch is a popular open-source search and analytics engine for use cases such as log analytics, real-time application monitoring, and clickstream analytics. With Amazon ES, you get direct access to the Elasticsearch APIs so that existing code and applications work seamlessly with the service.


Amazon ES provisions all the resources for your Elasticsearch cluster and launches the cluster. It also automatically detects and replaces failed Elasticsearch nodes, reducing the overhead associated with self-managed infrastructures. You can scale your cluster with a single API call or a few clicks in the console.

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Amazon Elasticsearch Service (Amazon ES) is a managed service that makes it easy to deploy, operate, and scale Elasticsearch clusters in the AWS Cloud. Elasticsearch is a popular open-source search and analytics engine for use cases such as log analytics, real-time application monitoring, and clickstream analytics. With Amazon ES, you get direct access to the Elasticsearch APIs so that existing code and applications work seamlessly with the service.


Amazon ES provisions all the resources for your Elasticsearch cluster and launches the cluster. It also automatically detects and replaces failed Elasticsearch nodes, reducing the overhead associated with self-managed infrastructures. You can scale your cluster with a single API call or a few clicks in the console.

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