Elastic, the company behind Elasticsearch and the Elastic Stack, released Elastic 7.2
Elastic APM added support for .NET, with the beta release of the highly requested .NET Agent. The Elastic APM agent for .NET is moving from preview to beta status. The .NET Agent adds automatic instrumentation for ASP.NET Core 2.x+ and Entity Framework Core 2.x+, while also providing a Public API for the .NET agent that allows users to manually instrument any .NET applications that are using other frameworks.
The RUM (Real User Monitoring) Agent in Elastic APM expands support for single-page applications (SPAs), allowing users to capture route-change transactions in addition to page-load transactions. SPAs offer many benefits over multiple-page applications (MPAs), including a more streamlined user experience and faster load times by dynamically rendering data elements as the user navigates the page. The dynamic nature of the delivery necessitates a more nuanced approach to gauging the end-user experience, such as examining internal application route changes
.Finally, APM agents now collect language-specific metrics, in addition to the common key performance indicators — such as overall resource utilization — tied to APM trace data. For example, the Java Agent now collects JVM metrics, such as Java heap memory and thread count, which are also automatically displayed in the APM app. The addition of these agent-specific metrics creates a richer monitoring experience by providing additional context into application behavior, without requiring developers to install additional agents.
On the infrastructure monitoring front, Elastic added the Metrics Explorer — a new view in the Infrastructure app in Kibana that is designed to enhance how you interact with infrastructure metrics in an ad hoc way. The Metrics Explorer is currently in beta.
Elastic Uptime, recently introduced to provide a turnkey experience around active availability monitoring, now includes one-click integrations with the Elastic Logs, Infrastructure, and APM apps. These integrations make it that much easier to integrate active monitoring into your log analytics and observability workflows. Read more about these and other advancements in our Elastic Uptime release blog.
Elastic Logs, introduced in 6.5 to streamline working with log data, added support for structured logs and events via explicit column configuration. It also introduced a "filter by field" feature, which enables an important "view surrounding logs" workflow many logging users rely on in investigations. Read more about these and other new features in our Elastic Logs release blog.
Also, Elastic continued to widen the Kubernetes monitoring tooling in 7.2 with the launch of several new data integrations for cloud-native technologies, such as CoreDNS and CRI-O.
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