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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

This release extends auto-adaptive baselines to the following generic metric sources, all in the context of Dynatrace Smartscape topology: Built-in OneAgent infrastructure monitoring metrics (host, process, network, etc.). Cloud platform metrics (AWS, Azure, Kubernetes, etc.). Custom log metrics. Synthetic monitor metrics.

Metrics 216
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Bandwidth-friendly Query Profiling for Azure SQL Database

SQL Performance

SQL Server has always provided the ability to capture actual queries in an easily-consumable rowset format – first with legacy SQL Server Profiler, later via Extended Events, and now with a combination of those two concepts in Azure SQL Database. Although this can be somewhat helpful, it is not the same.

Azure 96
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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 261
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A three-step implementation guide to answer-driven SLO-based release validation

Dynatrace

This week my colleague Michael Winkler announced the general availability of Cloud Automation quality gates , a new capability that aims to provide answer-driven release validation as part of your delivery process. The innovative technology powering these recent and future use cases comes from Keptn , our recognized CNCF open-source project.

DevOps 245
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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. Logs can include data about user inputs, system processes, and hardware states. However, the process of log analysis can become complicated without the proper tools.

Analytics 214