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The road to observability demo part 3: Collect, instrument, and analyze telemetry data automatically with Dynatrace

Dynatrace

We also introduced our demo app and explained how to define the metrics and traces it uses. The second part, The road to observability with OpenTelemetry part 2: Setting up OpenTelemetry and instrumenting applications , covers the details of how to set up OpenTelemetry in our demo application and how to instrument the services.

Metrics 243
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Code-level observability for Flutter apps drives great user experience

Dynatrace

Be sure to fine-tune the anomaly detection settings for your mobile app so that you can focus on those anomalies that are most relevant to the experience of your end users. When you set up user actions in your code, OneAgent automatically links associated web requests to those user actions. Test Flutter monitoring with our demo app.

Code 244
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Deliver secure, safe, and trustworthy GenAI applications with Amazon Bedrock and Dynatrace

Dynatrace

Amazon Bedrock , equipped with Dynatrace Davis AI and LLM observability , gives you end-to-end insight into the Generative AI stack, from code-level visibility and performance metrics to GenAI-specific guardrails. Any error codes or guardrail triggers. Temperature setting and max token limits.

Metrics 165
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Shift right in software development: Adapting observability for a seamless development experience

Dynatrace

Today, engineers are spending an increasing amount of time developing and testing code in production-like environments. Developers, normally confined to the cocoon of the coding stage, find themselves thrust into production-like environments that are rife with intricate dependencies and broad-scale issues. Well, it’s simple.

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How Dynatrace boosts production resilience with Site Reliability Guardian

Dynatrace

To ensure high standards, it’s essential that your organization establish automated validations in an early phase of the software development process—ideally when code is written. Ensure expected production behavior One Dynatrace team is responsible for the demo applications we use to demonstrate Dynatrace capabilities.

DevOps 246
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Full visibility into your serverless applications with AI-powered Azure Functions monitoring (GA)

Dynatrace

This gives you deep visibility into your code running in Azure Functions, and, as a result, an understanding of its impact on overall application performance and user experience. Code-level visibility continues to be supported for.NET-based functions running in an App Service plan. Optimize your code with code-level visibility.

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Uplevel production resiliency with automated problem remediation

Dynatrace

Further, it enables you to release with confidence by catching poor quality code before it reaches production. Stay tuned for the next blog post in this series to learn how to extend problem remediation beyond the feature flag mechanism and level up your software delivery by integrating Cloud Automation into your existing DevOps toolchain.

DevOps 246