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Build and operate multicloud FaaS with enhanced, intelligent end-to-end observability

Dynatrace

These functions are executed by a serverless platform or provider (such as AWS Lambda, Azure Functions or Google Cloud Functions) that manages the underlying infrastructure, scaling and billing. Connect Dynatrace to your cloud-vendor to gather relevant infrastructure monitoring data, which gives you essential health insights.

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Expanded cloud-region coverage for Dynatrace Synthetic Monitoring

Dynatrace

Dynatrace Synthetic Monitoring , in combination with Real User Monitoring and Session Replay , makes Dynatrace the market-leading digital experience monitoring solution. With Synthetic Monitoring, you can easily check the availability and performance of your applications as well as your APIs. New Azure locations.

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Generative AI model observability, cloud modernization take center stage with partners at Dynatrace Perform 2024

Dynatrace

At this year’s Perform, we are thrilled to have our three strategic cloud partners, Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP), returning as both sponsors and presenters to share their expertise about cloud modernization and observability of generative AI models.

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Maximized cloud-region coverage with Dynatrace Synthetic Monitoring

Dynatrace

Dynatrace Synthetic Monitoring , in combination with Real User Monitoring and Session Replay , makes Dynatrace the market-leading digital experience monitoring solution. With Synthetic Monitoring, you can easily check the availability and performance of your applications as well as your APIs. New Azure locations.

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Driving your FinOps strategy with observability best practices

Dynatrace

Empowering teams to manage their FinOps practices, however, requires teams to have access to reliable multicloud monitoring and analysis data. Hyperscaler cloud service providers such as AWS, Microsoft Azure, and Google Cloud Platform can do this, too. They can send a notification saying, “This server is oversized.”

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Breaking data silos: Liquid Reply’s journey to custom API observability with OpenTelemetry and Dynatrace

Dynatrace

Data is proliferating in separate silos from containers and Kubernetes to open source APIs and software to serverless compute services, such as AWS and Azure. Although the APIs were all managed by the Google API manager Apigee, the bank group was not getting consistent data types from the output.

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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? If the objective under the performance efficiency pillar is achieved, it indicates successful cost reduction for the disk size.

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