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Elastic Announces General Availability of Elastic Cloud Serverless on Microsoft Azure

ⓘ This article is third-party content and does not represent the views of this site. We make no guarantees regarding its accuracy or completeness.

Fast to start and easy to scale, Elastic Cloud Serverless brings security, observability, and search with decoupled storage, fast, low-latency querying, and zero infrastructure hassle

Elastic (NYSE: ESTC), the Search AI Company, announced the general availability of Elastic Cloud Serverless on Microsoft Azure. This release expands the reach of Elastic Cloud Serverless, giving developers more flexibility to deploy powerful generative AI, search, security, and observability workloads in the environments they already use.

Built on Elastic’s industry-first Search AI Lake architecture and leveraging Azure Blob Storage and Azure Kubernetes Service (AKS), Elastic Cloud Serverless combines vast storage, separate storage and compute, low-latency querying, and advanced AI capabilities to deliver uncompromising speed and scale.

“Elastic Cloud Serverless utilizes Azure Kubernetes Service (AKS) for its underlying platform,” said Qi Ke, corporate vice president at Microsoft Azure. “AKS reduces operational overhead and provides vast autoscaling capabilities to allow developers to tackle GenAI use cases with greater ease and speed to market. We’re delighted to partner with Elastic in support of our joint customers.”

“With our fully managed Elastic Cloud Serverless on Azure, customers can unlock the full value of their data without the burden of managing infrastructure,” said Ken Exner, chief product officer at Elastic. “Native integration with services like Azure Blob Storage, Event Hubs, and Azure Active Directory gives users streamlined data workflows with the low-latency querying and powerful search and AI relevance capabilities of Elasticsearch.”

Key benefits of Elastic Cloud Serverless on Azure include:

  • Decoupled storage and compute: Scale workloads independently with a design that balances cost and performance in high-demand scenarios.
  • Separation of search and indexing: Optimize for diverse use cases by independently scaling index and search tiers with optimized hardware for each use case.
  • Low-latency even on object stores: Low-latency search on vast datasets using segment-level query parallelization and intelligent caching.
  • Fully managed experience: Users are freed from operational tasks with the elimination of cluster management, capacity planning, and upgrades.
  • Usage-based pricing: Customers pay only for what they use — whether ingesting and retaining data in Elastic Security and Observability or using compute in Elasticsearch.

Support for Elastic Cloud Serverless on Microsoft Azure is available now in the EastUS region. Elastic plans to expand serverless availability to more Azure regions and introduce new features that further enhance performance and usability. Read the blog to learn more, or start your free trial now.

About Elastic

Elastic (NYSE: ESTC), the Search AI Company, enables everyone to find the answers they need in real-time using all their data, at scale. Elastic’s solutions for search, observability, and security are built on the Elastic Search AI Platform, the development platform used by thousands of companies, including more than 50% of the Fortune 500. Learn more at elastic.co.

Elastic and associated marks are trademarks or registered trademarks of Elastic N.V. and its subsidiaries. All other company and product names may be trademarks of their respective owners.

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