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Microsoft Ignite 2024 guide: Cloud observability for AI transformation

Dynatrace

Adopting AI to enhance efficiency and boost productivity is critical in a time of exploding data, cloud complexities, and disparate technologies. Dynatrace delivers AI-powered, data-driven insights and intelligent automation for cloud-native technologies including Azure.

Cloud 263
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Enhancing Azure data analytics and Azure observability with Dynatrace Grail

Dynatrace

Azure observability and Azure data analytics are critical requirements amid the deluge of data in Azure cloud computing environments. Dynatrace recently announced the availability of its latest core innovations for customers running the Dynatrace® platform on Microsoft Azure, including Grail.

Azure 245
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Dynatrace joins the Microsoft Intelligent Security Association

Dynatrace

As organizations adopt more cloud-native technologies, the risk—and consequences—of cyberattacks are also increasing. Through this integration, Dynatrace enriches data collected by Microsoft Sentinel to provide organizations with enhanced data insights in context of their full technology stack.

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Building an Optimized Data Pipeline on Azure Using Spark, Data Factory, Databricks, and Synapse Analytics

DZone

Modern tech stacks such as Apache Spark, Azure Data Factory, Azure Databricks, and Azure Synapse Analytics offer powerful tools for building optimized data pipelines that can efficiently ingest and process data on the cloud.

Azure 246
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Microsoft Azure digital transformation: Embracing the power of cloud technology with next-gen observability

Dynatrace

To make this happen, enterprises are shifting an unprecedented volume of workloads onto cloud platforms such as Microsoft Azure. How Azure digital transformation helps There are three ways that Microsoft Azure can help organizations do more with less when it comes to organizations’ digital transformation journeys.

Azure 244
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The keys to selecting a platform for end-to-end observability

Dynatrace

Indeed, around 85% of technology leaders believe their problems are compounded by the number of tools, platforms, dashboards, and applications they rely on to manage multicloud environments. Clearly, continuing to depend on siloed systems, disjointed monitoring tools, and manual analytics is no longer sustainable.

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Unlock the power of contextual log analytics

Dynatrace

DevOps teams operating, maintaining, and troubleshooting Azure, AWS, GCP, or other cloud environments are provided with an app focused on their daily routines and tasks. This is explained in detail in our blog post, Unlock log analytics: Seamless insights without writing queries.

Analytics 304