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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. The logs, metrics, traces, and other metadata that applications and infrastructure generate have historically been captured in separate data stores, creating poorly integrated data silos.

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From bare-metal to Kubernetes

High Scalability

This is a guest post by Hugues Alary , Lead Engineer at Betabrand , a retail clothing company and crowdfunding platform, based in San Francisco. Early infrastructure. Hardware infrastructure. The scalability and maintainability issue. This article was originally published here. Scaling development processes.

Retail 233
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Kubernetes in the wild report 2023

Dynatrace

Findings provide insights into Kubernetes practitioners’ infrastructure preferences and how they use advanced Kubernetes platform technologies. Kubernetes infrastructure models differ between cloud and on-premises. Kubernetes infrastructure models differ between cloud and on-premises. Kubernetes moved to the cloud in 2022.

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Conducting log analysis with an observability platform and full data context

Dynatrace

With more automated approaches to log monitoring and log analysis, however, organizations can gain visibility into their applications and infrastructure efficiently and with greater precision—even as cloud environments grow. They enable IT teams to identify and address the precise cause of application and infrastructure issues.

Analytics 183
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Pioneering customer-centric pricing models: Decoding ingest-centric vs. answer-centric pricing

Dynatrace

Grail is designed for scalability, with no technical prerequisites or additional hosting and storage costs as ingestion rates increase. retail giant, initially tied to an ingest-centric pricing vendor, found itself manually curbing costs by limiting daily log ingestion to 3 TB and reducing retention periods. A prominent U.S.

Retail 233
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What is Greenplum Database? Intro to the Big Data Database

Scalegrid

Greenplum uses an MPP database design that can help you develop a scalable, high performance deployment. Greenplum interconnect is the networking layer of the architecture, and manages communication between the Greenplum segments and master host network infrastructure. At a glance – TLDR. The Greenplum Architecture.

Big Data 321
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What is real user monitoring (RUM)?

Dynatrace

However, only highly scalable real user monitoring solutions can collect data on all user actions, while less scalable tools have to sample user actions and make inferences from partial data. Some examples include: Monitoring a retailer’s online catalog to detect any increase in page load times. Learn more!