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Any analysis, any time: Dynatrace Log Management and Analytics powered by Grail

Dynatrace

Log management and analytics is an essential part of any organization’s infrastructure, and it’s no secret the industry has suffered from a shortage of innovation for several years. Limited data availability constrains value creation. Even in cases where all data is available, new challenges can arise.

Analytics 223
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Dynatrace extends distributed tracing for serverless on AWS Lambda (GA)?

Dynatrace

With our enhanced AWS Lambda extension , we bring the power of Dynatrace PurePath 4 automatic tracing technology to serverless function observability. Actionable analytics across the?entire A single pane of glass to view trace information along with AWS CloudWatch metrics. Dynatrace news. AI-powered answers, provided by?Dynatrace

Lambda 198
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Dynatrace extends contextual analytics and AIOps for open observability

Dynatrace

The result is that IT teams must often contend with metrics, logs, and traces that aren’t relevant to organizational business objectives—their challenge is to translate such unstructured data into actionable business insights. Dynatrace extends its unique topology-based analytics and AIOps approach.

Analytics 245
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New analytics capabilities for messaging system-related anomalies

Dynatrace

In serverless and microservices architectures, messaging systems are often used to build asynchronous service-to-service communication. We’ve introduced brand-new analytics capabilities by building on top of existing features for messaging systems. This is great! – DevOps Engineer, large healthcare company.

Analytics 176
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Automatic connection of logs and traces accelerates AI-driven cloud analytics

Dynatrace

Log entries related to individual transactions can be spread across multiple microservices or serverless workloads. Manual and configuration-heavy approaches to putting telemetry data into context and connecting metrics, traces, and logs simply don’t scale. This seamless user journey is also available from the log viewer side.

Analytics 213
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Full visibility into your serverless applications with AI-powered Azure Functions monitoring (GA)

Dynatrace

Following the innovation of microservices, serverless computing is the next step in the evolution of how applications are built in the cloud. Serverless computing is a computing model that “allows you to build and run applications and services without thinking about servers.”. Simplify error analytics. Optimize timing hotspots.

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What is observability? Not just logs, metrics and traces

Dynatrace

In IT and cloud computing, observability is the ability to measure a system’s current state based on the data it generates, such as logs, metrics, and traces. If you’ve read about observability, you likely know that collecting the measurements of logs, metrics, and distributed traces are the three key pillars to achieving success.

Metrics 363