Remove Analytics Remove Availability Remove Azure Remove Serverless
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Complete Kubernetes observability with logs in topology context

Dynatrace

It makes them available for a log analytics platform to gain automated, contextual, and actionable insights into the services and underlying platforms. This feature is readily available on both the Dynatrace tenant and Environment ActiveGate. Dynatrace OneAgent has an internal mechanism that ingests only necessary log data.

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Implementing AWS well-architected pillars with automated workflows

Dynatrace

And how can you verify this performance consistently across a multicloud environment that also uses Microsoft Azure and Google Cloud Platform frameworks? This is where unified observability and Dynatrace Automations can help by leveraging causal AI and analytics to drive intelligent automation across your multicloud ecosystem.

AWS 246
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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.”. Azure Functions in a nutshell.

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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.”. Azure Functions in a nutshell.

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Adding New Capabilities for Real-Time Analytics to Azure IoT

ScaleOut Software

Whether it’s health-tracking watches, long-haul trucks, or security sensors, extracting value from these devices requires streaming analytics that can quickly make sense of the telemetry and intelligently react to handle an emerging issue or capture a new opportunity.

IoT 52
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How platform engineering and IDP observability can accelerate developer velocity

Dynatrace

Grabner gave the example of one Dynatrace banking customer who built an IDP that enables developers to provision new Azure machines or Chef policies without administrative help. “IDPs are not constrained to building microservices or a new serverless app,” Grabner noted. Intelligent monitoring is also crucial.

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Dynatrace PurePath 4 integrates OpenTelemetry and the latest cloud-native technologies and provides analytics and AI at scale

Dynatrace

Every tap in a mobile app triggers requests that, potentially, travel through a myriad of microservices, routed from one service to the next by service meshes, calling several serverless functions. FaaS like AWS Lambda and Azure Functions are seamlessly integrated with no code changes. Waterfall visualization of all requests.

Analytics 156