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Set up AI-powered observability for your Microsoft Azure cloud resources in just one click

Dynatrace

When customers utilize the services of a specific cloud provider, such as Microsoft Azure, users within the organization eventually become experts in working with, administering, and managing the cloud resources of that provider. This process is often slow because component setup takes time.

Azure 218
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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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No need to compromise visibility in public clouds with the new Azure services supported by Dynatrace

Dynatrace

As adoption rates for Microsoft Azure continue to skyrocket, Dynatrace is developing a deeper integration with the platform to provide even more value to organizations that run their businesses on Azure or use it as a part of their multi-cloud strategy. Azure Batch. Azure DB for MariaDB. Azure DB for MySQL.

Azure 145
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Dynatrace accelerates business transformation with new AI observability solution

Dynatrace

The RAG process begins by summarizing and converting user prompts into queries that are sent to a search platform that uses semantic similarities to find relevant data in vector databases, semantic caches, or other online data sources. Observing AI models Running AI models at scale can be resource-intensive.

Cache 199
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How multicloud observability boosts cloud performance at Tractor Supply Co.

Dynatrace

shifted most of its ecommerce and enterprise analytics workloads to Kubernetes-managed software containers running in Microsoft Azure. Further, Tractor Supply’s transition to Kubernetes introduced many new processes—particularly regarding security. “At one point, we saw a process that was causing a lot of CPU contention.

Cloud 166
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Lessons learned from enterprise service-level objective management

Dynatrace

However, many teams struggle with knowing which ones to use and how to incorporate them into the processes. Below, several Dynatrace customers shared their SLO management journey and discussed the resulting dashboards they rely on daily to manage their mission-critical business processes and applications. What are SLOs? Saturation.

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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. Collecting data requires massive and ongoing configuration efforts.

Cloud 256