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Conducting log analysis with an observability platform and full data context

Dynatrace

Modern organizations ingest petabytes of data daily, but legacy approaches to log analysis and management cannot accommodate this volume of data. Traditional log analysis evaluates logs and enables organizations to mitigate myriad risks and meet compliance regulations. Grail enables 100% precision insights into all stored data.

Analytics 187
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Pioneering customer-centric pricing models: Decoding ingest-centric vs. answer-centric pricing

Dynatrace

Customers experience delayed time to value from the data they’re ingesting as they must take additional steps to make the data useful for troubleshooting and analysis, such as re-indexing. Customers find themselves confined to models that limit their ability to leverage the volume of data they possess for practical analysis.

Retail 236
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Dynatrace and Red Hat expand enterprise observability to edge computing

Dynatrace

As an example, many retailers already leverage containerized workloads in-store to enhance customer experiences using video analytics or streamline inventory management using RFID tracking for improved security. These challenges stem from the distributed and often resource-constrained nature of edge computing.

Retail 258
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What is log analytics? How a modern observability approach provides critical business insight

Dynatrace

This is also known as root-cause analysis. Peak performance analysis. Log analytics can determine whether the same service or function is consistently causing an application to not meet SLOs during peak season — for example, when a retailer offers an end-of-season sale, or a financial application is critical for closing out the year.

Analytics 214
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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. Retailers can analyze how factors such as demand, competition, and market trends affect pricing. Software development.

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

Dynatrace

This is also known as root-cause analysis. Peak performance analysis. Log analytics can determine whether the same service or function is consistently causing an application to not meet SLOs during peak season — for example, when a retailer offers an end-of-season sale, or a financial application is critical for closing out the year.

Analytics 181
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Kubernetes in the wild report 2023

Dynatrace

Redis is an in-memory key-value store and cache that simplifies processing, storage, and interaction with data in Kubernetes environments. The need for runtime security observability is growing to automate vulnerability impact analysis. This report reflects Kubernetes adoption statistics based on the analysis of 4.1