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

Dynatrace

Serverless applications are composed of event-driven functions that run on demand in response to triggers from various sources, such as HTTP requests, messages, or timers. Enable faster development and deployment cycles by abstracting away the infrastructure complexity. Scale automatically based on the demand and traffic patterns.

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No need to compromise visibility in public clouds with new Azure services supported by Dynatrace (Part 2)

Dynatrace

This is the second part of our blog series announcing the massive expansion of our Azure services support. Part 1 of this blog series looks at some of the key benefits of Azure DB for PostgreSQL, Azure SQL Managed Instance, and Azure HDInsight. Fully automated observability into your Azure multi-cloud environment.

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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. Dynatrace news. Logs provide information you can’t find anywhere else.

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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. Logs can then be located in the Kubernetes entity model on the Dynatrace platform, enhancing the observability of your infrastructure and workloads.

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Perform 2020: Transform the way you work – Product update

Dynatrace

With this announcement: Davis now automatically ingests additional Kubernetes events and metrics, including state changes, workload changes and critical events across clusters, containers and runtimes. Next-gen Infrastructure Monitoring. Next up, Steve introduced enhancements to our infrastructure monitoring module.

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Dynatrace accelerates business transformation with new AI observability solution

Dynatrace

Data dependencies and framework intricacies require observing the lifecycle of an AI-powered application end to end, from infrastructure and model performance to semantic caches and workflow orchestration. Organizations need to stay on top of AI developments, and AI adoption is not a one-time event for which they can plan.

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What is container orchestration?

Dynatrace

Containers enable developers to package microservices or applications with the libraries, configuration files, and dependencies needed to run on any infrastructure, regardless of the target system environment. Likewise, Kubernetes is both an enterprise platform and managed services with Red Hat OpenShift. appeared first on Dynatrace news.