Elastic Delivers Cloud-Connected AutoOps for Self-Managed Elasticsearch Users
Enterprise customers running self-managed deployments now get real-time diagnostics, performance tuning and issue detection through Elastic Cloud at no additional cost
Elastic (NYSE:ESTC), the Search AI Company, announced that AutoOps is now available for the first time for self-managed enterprise users—at no additional cost.
By offloading the heavy lifting to Elastic Cloud, self-managed users gain powerful diagnostic benefits without the overhead of associated infrastructure, also gaining operational insights that improve resource efficiency and lower hardware costs.
"We are always looking to simplify Elasticsearch management to allow developers to focus on building new features instead of troubleshooting issues," said Ajay Nair, general manager, Platform, at Elastic. "Teams working in self-managed environments can now access the same benefits of AutoOps experienced by Elastic Cloud users."
AutoOps simplifies cluster management with zero additional overhead. The first in a roadmap of Elastic Cloud connected services for self-managed environments, it runs through a lightweight integration that securely streams operational metadata, such as shard allocations, query latencies, and node utilization to Elastic Cloud. The cloud-powered service processes this telemetry to deliver real-time issue detection and resolution, while the underlying customer data never leaves the self-managed deployment.
Key features for AutoOps include:
- Simplified cluster management: Delivers real-time cluster insights and automatic detection of ingestion bottlenecks, shard imbalance, and mapping errors so teams can resolve problems before they impact performance.
- Reduced operational overhead: Eliminates the need to provision and manage a dedicated monitoring cluster. AutoOps data is stored in Elastic's infrastructure and managed by Elastic, freeing teams from additional infrastructure costs and administrative tasks.
- Cost and resource optimization: Highlights underutilized nodes and inefficient indices, providing clear methods to improve resource utilization and reduce hardware costs.
- Better support: Elastic Support engineers' read-only access to AutoOps diagnostics makes support responses faster, as well as more precise resolutions to support tickets.
AutoOps users get the data sovereignty of a self-managed deployment, combined with simplified, proactive operational insights. The platform securely streams operational metadata about cluster workloads to Elastic Cloud, leaving underlying business data within the indices.
"Before using AutoOps, we were spending a significant amount of time manually analyzing nodes, charts, and indices to understand the root cause and determine a solution for issue diagnosis," said Oz Levy, data operations manager at Tipalti. "When we started using AutoOps, it provided actionable intelligence that changed the game; we no longer have to hunt for answers, they get delivered to us right away, along with the solutions to address them."
Availability
AutoOps is available at no additional cost for Enterprise subscription users. Support for AutoOps for self-managed customers is available now. Sign up for an Elastic Cloud Account to get started.
Additional Materials
Elastic blogs
- AutoOps: Simple Elasticsearch cluster monitoring and management, now available on-prem
- A Journey to Simplify Self-Managed Elasticsearch Management
Learn more about Tipalti's journey with AutoOps
About Elastic
Elastic (NYSE:ESTC), the Search AI Company, integrates its deep expertise in search technology with artificial intelligence to help everyone transform all of their data into answers, actions, and outcomes. Elastic's Search AI Platform — the foundation for its search, observability, and security solutions — is 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 Elasticsearch BV and its subsidiaries. All other company and product names may be trademarks of their respective owners.
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