Architecture Infrastructure Retail Storage 
Dynatrace
JANUARY 22, 2024
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.
Dynatrace
OCTOBER 17, 2023
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).
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Dynatrace
APRIL 20, 2023
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. Logs are automatically produced and time-stamped documentation of events relevant to cloud architectures.
Scalegrid
MAY 13, 2020
In this blog post, we explain what Greenplum is, and break down the Greenplum architecture, advantages, major use cases, and how to get started. It’s architecture was specially designed to manage large-scale data warehouses and business intelligence workloads by giving you the ability to spread your data out across a multitude of servers.
Dynatrace
JANUARY 16, 2023
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.
Apica
OCTOBER 17, 2022
For the purpose of this series, we’re talking about digital user journeys, which flow through software and infrastructure rather than through people in the field or at service desks. Distracted by distributed, dynamic architectures. What constitutes a user journey? Metrics and observability data hoarding.
ACM Sigarch
DECEMBER 6, 2018
cameras) in many usages ranging from digital security/surveillance and automated retail (e.g. Orchestrate the processing flow across an end-to-end infrastructure. Architectural research in these areas remains traditionally focused on the analysis of object detection and recognition algorithms (e.g. Yolo , ResNet50 ).
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