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

Dynatrace

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). Enhanced code-level visibility. The majority of costs are associated with data querying.

Retail 242
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Dynatrace and Red Hat expand enterprise observability to edge computing

Dynatrace

Successful deployments of cloud-native workloads at the edge help to reduce costs, boost performance, and improve customer experience. But there’s more than just a need for minimizing resource (CPU, memory, storage) and network (bandwidth) consumption for observability at the edge.

Retail 264
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Causal AI use cases for modern observability that can transform any business

Dynatrace

Software developers can use causal analysis to identify the root causes of bugs or application performance issues and to predict potential system failures or performance degradations. Software project managers can optimize development processes by analyzing workflow data, such as development time, code commits, and testing phases.

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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. Peak performance analysis. Better-quality code. Cold storage and rehydration. This is also known as root-cause analysis.

Analytics 220
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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. Peak performance analysis. Better-quality code. Cold storage and rehydration. This is also known as root-cause analysis.

Analytics 186
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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. For additional technical insights and to see business events in action, I recommend you watch this Performance Clinic. Store number.

Analytics 232
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Creating A Magento PWA: Customizing Themes vs. Coding From Scratch

Smashing Magazine

Creating A Magento PWA: Customizing Themes vs. Coding From Scratch. Creating A Magento PWA: Customizing Themes vs. Coding From Scratch. Some of the names include Amazon’s Luna, TikTok, Tinder, among many online retailers. One of the reasons for that is because a PWA has the same code base. Alex Husar. Large preview ).

Code 74