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Debug complex performance issues in production with ease

Dynatrace

This link allows us to open Live Debugger and dive into the code level of the AdService (example service) without requiring code changes or application redeployments. We use the automatically populated filter for AdService and its corresponding source code repository, then select Done to go to Live Debugger.

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Dare to debug production with Dynatrace Live Debugger

Dynatrace

Developers deserve a seamless way to troubleshoot effectively and gain quick insights into their code to identify issues regardless of when or where they arise. Developers not only write code; they’re also accountable for their applications performance and reliability. Browse your code. It’s easy as 1-2-3 1.

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Reliability indicators that matter to your business: SLOs for all data types

Dynatrace

Provide an at-a-glance view of your system’s health and performance Dynatrace guides you in quickly getting the most valuable SLOs set up in just a few clicks. Dedicated management makes it easy to maintain and run your SLOs, while highly customizable dashboard tiles allow you to integrate SLOs with your health and performance overview stats.

Metrics 277
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Dynatrace Observability for Developers saves time with real-time data

Dynatrace

What developers want Developers want to own their code in a distributed, ephemeral, cloud, microservices-based environment. This ownership starts with understanding how their code behaves in all environments, resolving issues, and writing and optimizing code in a high-quality, secure, and timely manner.

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New Distributed Tracing app provides effortless trace insights

Dynatrace

Automatic data capture and display: More data, including span attributes, is available for out-of-the-box analysis, with no additional configuration necessary. The team decides to dig into the “prod” namespace to perform exploratory analysis of their critical production workloads. This is just the beginning.

Tuning 299
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Dynatrace observability now available for Red Hat OpenShift on IBM Z and LinuxONE mainframes

Dynatrace

Telemetry data, such as traces and metrics, allow you to analyze the end-to-end performance of your deployed applications. You can automatically detect and analyze performance issues across your entire tech stack with Davis® AI. This is significant when coupled with the OpenShift platform.

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OpenTelemetry histograms reveal patterns, outliers, and trends

Dynatrace

This feature, available by default for OTel-instrumented services, allows users a standard way to measure and compare response times across different services consistently. Moreover, the OpenTelemetry Collector can measure service span durations, categorized by span names, span kinds, and status codes.

Metrics 240