Elastic 现已集成默认托管的 LLM（大语言模型）服务，在优先保障数据隐私的同时，免除了额外配置或订阅的需求。系统仍兼容外部 LLM 接入，确保满足用户的多样化需求。

用于安全的 AI：更快的检测、调查和响应

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适用于 SRE 的开箱即用 AI：加快问题解决速度

面向开发者的 AI：首日即可对 GenAI 功能进行原型设计和测试

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Elastic 独特的 AI 方法 

立即开始在 Elastic 中使用 AI

Elastic 的 GenAI 功能现已默认在 Elastic Cloud 中可用

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AI, out-of-the-box!

AI，开箱即用！

了解 Elastic 如何通过单一管理平台，在云采用旅程的各个阶段监测、分析并保护 AWS 和本地部署工作负载。这可以帮助团队满足预算和时间要求。

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Elastic and AWS: Accelerate your cloud migration journey

Elastic 和 AWS：加快云迁移旅程

Keep your apps performant and error-free. Accelerate troubleshooting with automated correlations, unified views across service logs and dependencies, and agentless log ingestion from Google Cloud Platform (GCP) — new in Elastic Observability 7.15.

Elastic Observability 7.15 introduces the general availability of automated correlations, unified views across application service logs and dependencies, and agentless log ingestion from Google Cloud Platform (GCP), accelerating troubleshooting of root causes of application issues and making it even easier to ingest telemetry from cloud services.&nbsp;
These new features allow customers to:
<ul>
	<li>Automatically surface attributes of the APM data set that are correlated with high-latency or erroneous transactions</li>
	<li>Effortlessly troubleshoot application issues by viewing all associated application or service logs from within the APM user interface&nbsp;</li>
	<li>Seamlessly ingest log data into Elastic from within the Google Cloud console and extend monitoring to native Google Cloud services</li>
</ul>Elastic Observability 7.15 is <a href="https://cloud.elastic.co/registration?elektra=whats-new-elastic-7-13-blog" target="_blank">available now on Elastic Cloud</a> — the only hosted Elasticsearch offering to include all of the new features in this latest release. You can also <a href="https://www.elastic.co/downloads/" target="_blank">download the Elastic Stack</a> and our cloud orchestration products, Elastic Cloud Enterprise and Elastic Cloud for Kubernetes, for a self-managed experience.
<h2>Automated root cause analysis with APM correlations is now GA
</h2>DevOps and SRE teams are constantly challenged with an overwhelming amount of data and dependencies to sift through to keep modern applications performant and error-free. As such, automation and machine learning have become essential components of the troubleshooter’s toolkit. <a href="https://www.elastic.co/guide/en/kibana/7.15/correlations.html" target="_blank">Elastic APM correlations</a> accelerate root cause analysis by automatically surfacing attributes of the APM data set (such as infrastructure components, versions, locations, and custom metadata) that are correlated with high-latency or erroneous transactions and have the most significant impact on overall service performance. Visualize the latency distribution of any attribute compared to overall latency and use these attributes to filter and isolate the root causes of performance problems.
<img src="https://images.contentstack.io/v3/assets/bltefdd0b53724fa2ce/blt27dff0e7a27e4f81/61423a368440e97ef5826acf/animation-apm-latency-correlations.gif" data-sys-asset-uid="blt27dff0e7a27e4f81" alt="animation-apm-latency-correlations.gif">
<h2>Unified observability for APM troubleshooting across logs, third-party dependencies, and backend services
</h2>Elastic is the only observability solution built on a search platform that natively ingests high dimensionality and cardinality telemetry data of any type or source, adds context, and correlates it for fast, relevant analysis. Over the last twelve months we have reworked almost the entire user experience within the APM user interface&nbsp;and&nbsp;will continue to deliver visualization and workflow improvements for unified visibility and analysis across the entire application ecosystem.&nbsp;
Two new troubleshooting views have been added in 7.15.&nbsp;Logs are now&nbsp;available on any level, at the top level for the service, as well as at&nbsp;the level of&nbsp;specific transactions&nbsp;and&nbsp;container or pod instances. We're now also able to&nbsp;show external dependencies, such as&nbsp;backends, caches, and databases, including how they are&nbsp;performing, their upstream dependencies, and how they have&nbsp;changed over time.
<img src="https://images.contentstack.io/v3/assets/bltefdd0b53724fa2ce/bltf180dffa4d9ce8db/61423a4c564bf37c154f77c9/screenshot-apm-service-logs.png" data-sys-asset-uid="bltf180dffa4d9ce8db" alt="screenshot-apm-service-logs.png" "="">
<figcaption>Get an integrated roll-up view of application logs across application services running on ephemeral infrastructure to quickly find errors and other causes of application issues.</figcaption> 
<img src="https://images.contentstack.io/v3/assets/bltefdd0b53724fa2ce/bltec7d31bd64c02a0d/61423a679d27cf7da4ba02a9/screenshot-dependencies-redis.png" data-sys-asset-uid="bltec7d31bd64c02a0d" alt="screenshot-dependencies-redis.png"> 
<figcaption>Identify issues with third-party and backend service dependencies, and leverage detailed drilldowns for comparing historical performance and impact on&nbsp;upstream services.</figcaption>We’ve also enhanced the existing transaction latency distribution chart and trace selection with more granular buckets and the flexibility to drag-select all application traces that fall within a desired range of latencies.
<h2>Agentless ingestion of logs from Google Cloud Platform (GCP) for frictionless observability&nbsp;&nbsp;
</h2>Elastic’s new GCP Dataflow integration drives efficiency with frictionless ingestion of log data directly from the Google Cloud console. The agentless approach provides an “easy button” option for customers who want to avoid the cost and hassle of managing and maintaining agents, and further extends monitoring to native GCP services.&nbsp;
<img src="https://images.contentstack.io/v3/assets/bltefdd0b53724fa2ce/bltb459bb911fdbaf61/6148be340332d478b9d30bd0/blog-gcp-integration-pubsub-1.png" data-sys-asset-uid="bltb459bb911fdbaf61" alt="blog-gcp-integration-pubsub-1.png" "=""> 

<figcaption>The Google and Elastic teams worked together to develop an out-of-the-box Dataflow template that a user can select to push logs and events from Pub/Sub to Elastic.</figcaption><h2>Additional data sources: JVM metrics support for JRuby, Azure Spring Cloud logs integration, and Osquery metrics in host details panel</h2>With the 7.15 release, we have&nbsp;also enhanced our application and cloud data collection for JRuby and Azure. Now you can get visibility into system and JVM metrics for JRuby applications and continuously monitor and quickly debug issues encountered in Spring boot applications running on Azure (beta).&nbsp;
Osquery provides a flexible and powerful way to collect any data from a target host it's installed on.&nbsp;The Osquery integration&nbsp;with the&nbsp;Elastic Agent,&nbsp;introduced in 7.13,&nbsp;opened&nbsp;up a spectrum of capabilities to support troubleshooting of security and observability use cases. Previously,&nbsp;Osquery could&nbsp;be used via Kibana to perform live and scheduled queries, with the query results stored in a dedicated data stream. With 7.15, Osquery is now directly integrated into the enhanced host details panel and delivers&nbsp;ad hoc querying capabilities on the target host.
<h2>Self-managed version of Elastic Package Registry (EPR) now available for air-gapped deployments</h2>If you host your Elastic Stack in an air-gapped environment and want to take advantage of the recently GA <a href="https://www.elastic.co/blog/elastic-agent-and-fleet-make-it-easier-to-integrate-your-systems-with-elastic" target="_blank">Elastic Agent and Fleet</a>, we have good news for you. Elastic Package Registry (EPR) is now available as a Docker image that can be run and hosted in any infrastructure setting of your choice.&nbsp;In environments where&nbsp;network traffic restrictions are mandatory&nbsp;deploying your own instance of EPR enables&nbsp;Kibana to download package metadata and content in order to&nbsp;access&nbsp;all available integrations and deliver the relevant out-of-box components and documentation. Currently, the EPR Docker image is a beta&nbsp;standalone server that will continue to grow and evolve. For more information, check out the Elastic guide for <a href="https://www.elastic.co/guide/en/integrations-developer/current/air-gapped.html" target="_blank">running EPR in air-gapped environments</a>.&nbsp;
<h2>Try it out
</h2>Existing Elastic Cloud customers can access many of these features directly from the <a href="https://cloud.elastic.co/" target="_blank">Elastic Cloud console</a>, or, if you'd prefer, you can <a href="https://www.elastic.co/downloads/" target="_blank">download</a> the latest version.
If you’re new to Elastic Cloud, take a look at our <a href="https://www.elastic.co/training/free#quick-starts" target="_blank">Quick Start guides</a> (bite-sized training videos to get you started quickly) or <a href="https://www.elastic.co/training/free#fundamentals" target="_blank">our free fundamentals training courses</a>. You can always get started for free with a <a href="http://cloud.elastic.co/registration?blade=blog&gambit=whats-new-enterprise-search-7-12" target="_blank">free 14-day trial of Elastic Cloud</a>.&nbsp;
Read about these capabilities and more in the <a href="https://www.elastic.co/guide/en/observability/7.15/whats-new.html" target="_blank">Elastic Observability 7.15 release notes</a>, and other Elastic Stack highlights in the <a href="https://www.elastic.co/blog/whats-new-elastic-7-15-0" target="_blank">Elastic 7.15 announcement post</a>.
The release and timing of any features or functionality described in this post remain at Elastic's sole discretion. Any features or functionality not currently available may not be delivered on time or at all.&nbsp;

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Elastic Observability 7.15: Automated correlations, frictionless log ingestion from Google Cloud

Deploying, managing, and maintaining a large number of agents across numerous data sources can be extremely challenging. Now you can onboard data even faster and more easily through secure centralized management of the unified Elastic Agent.

Elastic Observability 7.14 introduces the general availability of unified telemetry and centralized agent management with <a href="https://www.elastic.co/elastic-agent">Elastic Agent</a> and Fleet, enabling faster and simpler data onboarding, and reduced security risk, in addition to <a href="https://www.elastic.co/guide/en/kibana/7.14/correlations.html">enhanced correlations</a> for accelerated root cause analysis in Elastic APM.&nbsp;
These new features allow customers to:
<ul>
	<li aria-level="1">Collect all forms of data from anywhere with a single unified agent per host, with just one agent to install, configure, and scale</li>
	<li aria-level="1">Deploy endpoint security seamlessly across their infrastructure, bringing DevOps and security teams into greater convergence</li>
	<li aria-level="1">Quickly surface factors that have the most significant impact on service performance</li>
</ul>Elastic Observability 7.14 is <a href="https://cloud.elastic.co/registration?elektra=whats-new-elastic-7-13-blog">available now on Elastic Cloud</a> — the only hosted Elasticsearch offering to include all of the new features in this latest release. You can also <a href="https://www.elastic.co/downloads/">download the Elastic Stack</a> and our cloud orchestration products, Elastic Cloud Enterprise and Elastic Cloud for Kubernetes, for a self-managed experience.
<h2>Simpler and faster data onboarding with secure, centralized agent management</h2>In a world where the number of data sources continues to rise exponentially, deploying, managing, and maintaining agents poses a formidable challenge for organizations, especially when the monitored resources can number in the tens of thousands. This complexity exposes organizations to rising costs, increased security risks, and time-consuming upgrades and patch updates.&nbsp;
Elastic’s Fleet application secures and centralizes the management of <a href="https://www.elastic.co/elastic-agent">Elastic Agents</a>. Elastic agents are a unified approach to security and observability data collection via a single agent that make installation and management of data integrations simpler, faster, and more scalable.&nbsp;
Fleet also allows you to deploy endpoint security seamlessly across your infrastructure, integrating security within your release processes without slowing down application development.
<img src="https://images.contentstack.io/v3/assets/bltefdd0b53724fa2ce/blt2e5a452c29fc3a89/6102bcdfeb1fad0d6d07c399/screenshot-fleet.png" data-sys-asset-uid="blt2e5a452c29fc3a89" alt="screenshot-fleet.png">
Notable features of Elastic Agent and Fleet include: 
<ul>
	<li aria-level="1">Support for collection of logs, metrics, traces, and endpoint security data&nbsp;</li>
	<li aria-level="1">Ability to deploy agent upgrades and policies across thousands of agents with one-click at runtime via a user-friendly web UI</li>
	<li aria-level="1">Dozens of out-of-the-box Fleet integrations across a wide variety of platforms and services, including cloud, containers, networks, and hosts, with plans to port all 100+ Beats modules over in the next few releases</li>
	<li aria-level="1">A new architecture component (Fleet Server) that can be deployed centrally or at the edge, improving scalability and flexibility of supported ingest architectures&nbsp;</li>
	<li aria-level="1">Ability to get real-time updates on all your agents by tracking the agent status, configuration, overhead, processes, versions, etc.&nbsp;</li>
	<li aria-level="1">Support for OSQuery to easily ask questions for local information about your hosts</li>
	<li aria-level="1">Auto-discover support for Kubernetes, improving ease of deployment in highly dynamic orchestrated environments</li>
	<li aria-level="1">Ability to centrally manage APM server from Fleet</li>
	<li aria-level="1">Support for all the necessary components required to monitor hosts or VMs in a cloud or virtual environment&nbsp;</li>
	<li aria-level="1">Support for uptime and synthetics monitoring enabling users to enable HTTP checks via a graphical interface</li>
	<li aria-level="1">Endpoint security with malware protection and host isolation for containing network security threats</li>
</ul>All this functionality is available in both Elastic Cloud and Elastic Cloud Enterprise (ECE), with hosted Fleet Server functionality fully managed as part of your deployment.
Take a deeper dive to see how to <a href="/blog/elastic-agent-and-fleet-make-it-easier-to-integrate-your-systems-with-elastic">easily add integrations with Elastic Agent and Fleet</a>.
<h2>Reduce MTTR with automated root cause analysis of application issues</h2>Since it is virtually impossible to manually analyze the overwhelming amount of data and dependencies in modern applications, automation and analytics have become essential components of the troubleshooter’s toolkit. Elastic’s APM correlations feature (beta) accelerates root cause analysis by automatically surfacing attributes of your data set&nbsp; —such as, infrastructure components, versions, and locations — that are correlated with high-latency or erroneous transactions and have the most significant impact on your service performance. You can visualize the latency distribution of any attribute compared to overall latency and use these attributes to filter and isolate the root causes of your performance problems.
<img src="https://images.contentstack.io/v3/assets/bltefdd0b53724fa2ce/bltc153a9986bd088ab/6102bcfbed7a525fcd55f33d/screenshot-correlations.png" data-sys-asset-uid="bltc153a9986bd088ab" alt="screenshot-correlations.png">
<figcaption>In the screenshot above, you can see that “orderPriceRange = large” is the top attribute correlated with slow user experience for the createOrder transaction. </figcaption>Elastic Observability 7.14 introduces the second beta release of the correlations feature which now offers several improvements based on your feedback.
<ol>
	<li aria-level="1">We have significantly improved the accuracy with which we detect correlations by introducing a <a href="https://www.elastic.co/guide/en/elasticsearch/reference/7.14/search-aggregations-bucket-correlation-aggregation.html">new aggregation</a> in Elasticsearch.</li>
	<li aria-level="1">You no longer need to specify custom fields as new logic automatically scans all available metadata, including versions, locations, and custom labels. This covers all possible variations and helps uncover unknown unknowns.</li>
	<li aria-level="1">The UI visualization now uses a log-log axis, making it easier to spot performance patterns and detect outliers. Other UI improvements include deduplication of correlation results, finer-grained density of the distribution chart, and asynchronous population of results for improved user experience.</li>
</ol><h2>Try it out</h2>Existing Elastic Cloud customers can access many of these features directly from the <a href="https://cloud.elastic.co/">Elastic Cloud console</a>, or, if you'd prefer, you can <a href="https://www.elastic.co/downloads/">download</a> the latest version.
If you’re new to Elastic Cloud, take a look at our <a href="https://www.elastic.co/training/free#quick-starts">Quick Start guides</a> (bite-sized training videos to get you started quickly) or our <a href="https://www.elastic.co/training/free#fundamentals">free fundamentals training courses</a>. You can always get started for free with a <a href="http://cloud.elastic.co/registration?blade=blog&gambit=whats-new-enterprise-search-7-12">free 14-day trial of Elastic Cloud</a>.&nbsp;
Read about these capabilities and more in the <a href="https://www.elastic.co/guide/en/observability/7.14/whats-new.html">Elastic Observability 7.14 release notes</a>, and other Elastic Stack highlights in the <a href="https://www.elastic.co/blog/whats-new-elastic-7-14-0">Elastic 7.14 announcement post</a>.
The release and timing of any features or functionality described in this post remain at Elastic's sole discretion. Any features or functionality not currently available may not be delivered on time or at all.

Elastic Observability 7.14: Unified telemetry and accelerated application root cause analysis

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Director of Product Marketing

Amena Siddiqi

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Elastic 和 AWS：加快云迁移旅程

Elastic Observability 7.15: Automated correlations, frictionless log ingestion from Google Cloud

Elastic Observability 7.14: Unified telemetry and accelerated application root cause analysis