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What Is a Workload in Cloud Computing

Scalegrid

What is workload in cloud computing? Simply put, it’s the set of computational tasks that cloud systems perform, such as hosting databases, enabling collaboration tools, or running compute-intensive algorithms. The environments, which were previously isolated, are now working seamlessly under central control.

Cloud 130
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Dynatrace log collection for ARM unlocks power-efficient architecture for your enterprise

Dynatrace

ARM architecture, based on a processor type optimized for cloud and hyperscale computing, has become the most prevalent on the planet, with billions of ARM devices currently in use. This is a crucial factor for all data centers, cloud or managed, where power consumption and cooling costs are reflected in the total cost of ownership.

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Protecting critical infrastructure and services: Ensure efficient, accurate information delivery this election year

Dynatrace

To address this, state and local governments are adopting multicloud environments to achieve the necessary speed, scale, and agility to keep up with faster digital transformation. For example, government agencies use an array of cloud platforms spanning 12 environments on average. Observability differs from monitoring.

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Massively speed up OneAgent lifecycle management with the enhanced REST API (Preview)

Dynatrace

Our largest customers are global companies with absolutely massive application stacks, spreading across cloud and enterprise platforms, multiple physical geographies, tens of thousands of virtual and physical hosts and hundreds of thousands of containers. This API enhancement has been a massive success. Why this is important.

Speed 132
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Why log monitoring and log analytics matter in a hyperscale world

Dynatrace

Log monitoring, log analysis, and log analytics are more important than ever as organizations adopt more cloud-native technologies, containers, and microservices-based architectures. Driving this growth is the increasing adoption of hyperscale cloud providers (AWS, Azure, and GCP) and containerized microservices running on Kubernetes.

Analytics 205
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Applying real-world AIOps use cases to your operations

Dynatrace

By understanding the advantages of deterministic AI, you can choose an AIOps platform that helps you transform faster and achieve autonomous operations. The goal of AIOps is to automate operations across the enterprise. CloudOps: Applying AIOps to multicloud operations. The four stages of data processing. AIOps use cases.

DevOps 192
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Five-nines availability: Always-on infrastructure delivers system availability during the holidays’ peak loads

Dynatrace

Five-nines availability has long been the goal of site reliability engineers (SREs) to provide system availability that is “always on.” But as more organizations adopt cloud-native technologies and distribute workloads among multicloud environments, that goal seems harder to attain. But is five nines availability attainable?