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
NOVEMBER 6, 2023
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.
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Dynatrace
OCTOBER 17, 2023
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). No storage tiers, no archiving or retrieval from archives, and no indexing or reindexing.
Dynatrace
JULY 29, 2022
As companies migrate their infrastructure and development workloads to the cloud, there are numerous use cases for log analytics. Consider the following ways teams can apply log analytics to on-premises and multicloud infrastructures: Application deployment verification. Cold storage and rehydration. Peak performance analysis.
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. They enable IT teams to identify and address the precise cause of application and infrastructure issues.
Dynatrace
JULY 29, 2022
As companies migrate their infrastructure and development workloads to the cloud, there are numerous use cases for log analytics. Consider the following ways teams can apply log analytics to on-premises and multicloud infrastructures: Application deployment verification. Cold storage and rehydration. Peak performance analysis.
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.
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