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

Dynatrace

As companies strive to innovate and deliver faster, modern software architecture is evolving at near the speed of light. Following the innovation of microservices, serverless computing is the next step in the evolution of how applications are built in the cloud. Azure Functions in a nutshell. Dynatrace news.

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

Dynatrace

As companies strive to innovate and deliver faster, modern software architecture is evolving at near the speed of light. Following the innovation of microservices, serverless computing is the next step in the evolution of how applications are built in the cloud. Azure Functions in a nutshell. Dynatrace news.

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Dynatrace innovates again with the release of topology-driven auto-adaptive metric baselines

Dynatrace

Cloud platform metrics (AWS, Azure, Kubernetes, etc.). The number of signal fluctuations and the sliding evaluation window for alerting allow you to further fine-tune alerting sensitivity. The post Dynatrace innovates again with the release of topology-driven auto-adaptive metric baselines appeared first on Dynatrace blog.

Metrics 277
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Dynatrace extends automatic and intelligent observability to cloud and Kubernetes logs for smarter automation at scale

Dynatrace

Leveraging cloud-native technologies like Kubernetes or Red Hat OpenShift in multicloud ecosystems across Amazon Web Services (AWS) , Microsoft Azure, and Google Cloud Platform (GCP) for faster digital transformation introduces a whole host of challenges. Manual troubleshooting is painful, hurts the business, and slows down innovation.

Cloud 264
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A three-step implementation guide to answer-driven SLO-based release validation

Dynatrace

The innovative technology powering these recent and future use cases comes from Keptn , our recognized CNCF open-source project. If you want more information on Keptn, then I suggest joining the Keptn Open Source community and help us drive innovation that benefits both the open-source project and Dynatrace Cloud Automation Solution.

DevOps 246
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Why log monitoring and log analytics matter in a hyperscale world

Dynatrace

Driving this growth is the increasing adoption of hyperscale cloud providers (AWS, Azure, and GCP) and containerized microservices running on Kubernetes. Log analysis can reveal potential bottlenecks and inefficient configurations so teams can fine-tune system performance. Accelerated innovation. billion in 2020 to $4.1

Analytics 264
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Dynatrace PurePath 4 integrates OpenTelemetry and the latest cloud-native technologies and provides analytics and AI at scale

Dynatrace

The rapidly evolving digital landscape is one important factor in the acceleration of such transformations – microservices architectures, service mesh, Kubernetes, Functions as a Service (FaaS), and other technologies now enable teams to innovate much faster. So please stay tuned for updates. Waterfall visualization of all requests.

Analytics 236