Elastic Observability 8.14 announces the general availability (GA) of key Service Level Objective (SLO) management capabilities, additional enhancements to the Elastic AI Assistant for Observability, alerting improvements, and Universal Profiling for .NET.
Enhanced SLO management capabilities:
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Federated SLOs — View all of your SLOs across cross-cluster search (CCS), which allows for efficient management views of your Observability data across your organization.
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SLO group embeddable — This allows users to take a group of SLOs and add them to a custom dashboard. For example, users can take group SLOs on Tag for a business case and then add them to the dashboard for that business service.
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Improved alert details for SLO burn rate — The alert details page provides users content about alerts, what might have caused the alert, and information on alert history. In 8.14, we added to the alert details pages for SLO alerts to provide more content (including embedded AI Ops) depending on the Service Level Indicator (SLI) type.
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SLO burn rate alert dependency notification — SLO burn rate alerts can be noisy for end-to-end services that have service dependencies that are at the root cause. This will allow users to suspend the notification of burn rate alerts if there is a dependent service that is the root cause.
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New Synthetics availability SLI — Introducing a new SLI form dedicated to Synthetics availability. Before, users could do Synthetics with time slice metric SLI, but this SLI utilizes Synthetics specific fields and makes it much easier to create an SLI. Synthetics is a great data source for SLO.
Enhanced AI Assistant capabilities:
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Elastic AI Assistant for Observability context-based suggestions: Now GA, with AI Assistant’s context-based suggestions, SREs can quickly identify and prioritize critical tasks, reducing response times. The addition of contextual insights on Observability Alert Details pages provides deeper understanding and aids in diagnosing issues, allowing SREs to address problems proactively.
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AI Assistant interactions via API calls: Now in technical preview, interaction via API calls offers flexibility and enables SREs to integrate AI Assistant into automated workflows and custom scripts to streamline operations.
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AWS Bedrock Anthropic Claude 3 model support: Now GA, the Anthropic Claude 3 model, with its extended context window and JSON functions, provides improved accuracy and contextual comprehension, crucial for analyzing complex data. These enhancements collectively help SREs maintain service reliability and optimize incident response.
Alerting improvements included in the release make it easier to quickly understand the alert and its context, reducing MTTR. An alert details view is now available for every Observability alerting rule type, showing critical information, such as when the alert triggered, its current state, and a history of previous occurrences. Improved alert flyouts offer better at-a-glance information about the when, where, and what about the alert with clickable links to help navigate directly to impacted services or infrastructure.
Universal Profiling for .NET will now be supported alongside all major languages like PHP, Python, Java (or any JVM language), Go, Rust, C/C++, Node.js/V8, Ruby, Perl, and Zig. This is the first of its kind in the industry to profile .NET versions 6, 7, and 8 without instrumentation using an eBPF-based profiler.
Elastic Observability 8.14 is available now on Elastic Cloud — the only hosted Elasticsearch offering to include all of the new features in this latest release. You can also download the Elastic Stack and our cloud orchestration products — Elastic Cloud Enterprise and Elastic Cloud for Kubernetes — for a self-managed experience.
What else is new in Elastic 8.14? Check out the 8.14 announcement post to learn more >>
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