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Any analysis, any time: Dynatrace Log Management and Analytics powered by Grail

Dynatrace

Log management and analytics is an essential part of any organization’s infrastructure, and it’s no secret the industry has suffered from a shortage of innovation for several years. Teams have introduced workarounds to reduce storage costs. Current analytics tools are fragmented and lack context for meaningful analysis.

Analytics 223
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Data lakehouse innovations advance the three pillars of observability for more collaborative analytics

Dynatrace

To solve this problem, Dynatrace launched Grail, its causational data lakehouse , in 2022. Grail combines the big-data storage of a data warehouse with the analytical flexibility of a data lake. With Grail, we have reinvented analytics for converged observability and security data,” Greifeneder says.

Analytics 176
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IT automation central to navigating cloud complexity and data explosion

Dynatrace

But IT teams need to embrace IT automation and new data storage models to benefit from modern clouds. Log management and analytics have become a particular challenge. They should move from technologies that rely on traditional data warehouse and data lake-storage models and embrace a modern data lakehouse-based approach.

Cloud 168
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Weighing the top seven Kubernetes challenges and how to solve them

Dynatrace

This ease of deployment has led to mass adoption, with nearly 80% of organizations now using container technology for applications in production, according to the CNCF 2022 Annual Survey. Traditional storage solutions were not created to address these requirements, which are common among modern deployments. AI-powered analytics.

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IT automation central to navigating cloud complexity and data explosion

Dynatrace

But IT teams need to embrace IT automation and new data storage models to benefit from modern clouds. Log management and log analytics have become a particular challenge. They should move from technologies that rely on traditional data warehouse and data lake-storage models and embrace a modern data lakehouse-based approach.

Cloud 147
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The capabilities government leaders need as they manage the cloud’s data explosion

Dynatrace

The “ 2022 Dynatrace CIO Report: Government and Public Sector ” surveyed 150 IT leaders within large government and public-sector organizations worldwide to understand their challenges as they accelerate their migration to the cloud and which critical capabilities they needed to be successful in their journeys and deliver on their mission. .

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Perform 2023 Guide: Organizations mine efficiencies with automation, causal AI

Dynatrace

In what follows, we explore some key cloud observability trends in 2023, such as workflow automation and exploratory analytics. From data lakehouse to an analytics platform Traditionally, to gain true business insight, organizations had to make tradeoffs between accessing quality, real-time data and factors such as data storage costs.