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Artificial Intelligence in Cloud Computing

Scalegrid

Exploring artificial intelligence in cloud computing reveals a game-changing synergy. This article delves into the specifics of how AI optimizes cloud efficiency, ensures scalability, and reinforces security, providing a glimpse at its transformative role without giving away extensive details.

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TTP-based threat hunting with Dynatrace Security Analytics and Falco Alerts solves alert noise

Dynatrace

Not only are cyberattacks increasing, but they’re also becoming more sophisticated, with tools such as  WormGPT  putting generative AI technology in the hands of attackers. In this blog post, we’ll use Dynatrace Security Analytics to go threat hunting, bringing together logs, traces, metrics, and, crucially, threat alerts.

Analytics 201
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Build and operate multicloud FaaS with enhanced, intelligent end-to-end observability

Dynatrace

As companies accelerate digital transformation, they implement modern cloud technologies like serverless functions. According to Flexera , serverless functions are the number one technology evaluated by enterprises and one of the top five cloud technologies in use at enterprises.

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Observations on the Importance of Cloud-based Analytics

All Things Distributed

Cloud computing is enabling amazing new innovations both in consumer and enterprise products, as it became the new normal for organizations of all sizes. So many exciting new areas are being empowered by cloud that it is fascinating to watch. Cloud analytics are everywhere. Cloud enables self-service analytics.

Analytics 136
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Log auditing and log forensics benefit from converging observability and security data

Dynatrace

Log auditing—and its investigative partner, log forensics—are becoming essential practices for securing cloud-native applications and infrastructure. As organizations adopt more cloud-native technologies, observability data—telemetry from applications and infrastructure, including logs, metrics, and traces—and security data are converging.

Analytics 190
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No need to compromise visibility in public clouds with the new Azure services supported by Dynatrace

Dynatrace

With cloud deployments growing rapidly during the past few years and enterprise multi-cloud environments becoming the norm, new challenges have emerged, including: Cloud dynamics make it hard to keep up with autoscaling, where services come and go based on demand. Azure Traffic Manager. Dynatrace news. Azure Batch.

Azure 150
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How digital experience monitoring helps deliver business observability

Dynatrace

Digital experience monitoring is the practice of using tools and technologies to gather and evaluate metrics as a customer navigates an application to determine the quality of a user’s interaction with its digital touchpoints. PC, smartphone, server) or virtual (virtual machines, cloud gateways). Endpoints can be physical (i.e.,