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Pioneering customer-centric pricing models: Decoding ingest-centric vs. answer-centric pricing

Dynatrace

The rise of cloud-native microservice architectures further exacerbates this change. Dynatrace has developed the purpose-built data lakehouse, Grail , eliminating the need for separate management of indexes and storage. All data is readily accessible without storage tiers, such as costly solid-state drives (SSDs).

Retail 237
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Dynatrace and Red Hat expand enterprise observability to edge computing

Dynatrace

Cloud-native workloads on edge devices are gaining momentum among organizations as they extend the hybrid cloud closer to the data source and end users at the edge. Successful deployments of cloud-native workloads at the edge help to reduce costs, boost performance, and improve customer experience.

Retail 259
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Causal AI use cases for modern observability that can transform any business

Dynatrace

Retailers can analyze how factors such as demand, competition, and market trends affect pricing. How causal AI in a data lakehouse can transform your business IT organizations are buried under growing amounts of data for the complex systems they manage across an estate, including on-premises, cloud, and software-as-a-service applications.

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What is log analytics? How a modern observability approach provides critical business insight

Dynatrace

Log analytics is useful for application performance monitoring in cloud, virtualized, and physical environments, including Kubernetes workloads, application security, and business analytics. As companies migrate their infrastructure and development workloads to the cloud, there are numerous use cases for log analytics. Data silos.

Analytics 215
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What is log analytics? How a modern observability approach provides critical business insight

Dynatrace

Log analytics is useful for application performance monitoring in cloud, virtualized, and physical environments, including Kubernetes workloads, application security, and business analytics. As companies migrate their infrastructure and development workloads to the cloud, there are numerous use cases for log analytics. Data silos.

Analytics 182
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Kubernetes in the wild report 2023

Dynatrace

Modern, cloud-native computing is impossible to separate from containers and Kubernetes adoption. As Kubernetes adoption increases and it continues to advance technologically, Kubernetes has emerged as the “operating system” of the cloud. Kubernetes moved to the cloud in 2022. Kubernetes moved to the cloud in 2022.

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The value of business events: How IT can increase business agility

Dynatrace

These include the following highlights: Long-term cost-effective storage to support seasonal trending and forecasting. Instant indexless storage to support unanticipated retrospective questions. There are other characteristics important for business use cases, delivered through Grail and Dynatrace Query Language (DQL).

Analytics 228