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As cloud complexity increases and security concerns mount, organizations need log analytics to discover and investigate issues and gain critical business intelligence. But exploring the breadth of log analytics scenarios with most log vendors often results in unexpectedly high monthly log bills and aggressive year-over-year costs.
At the time when I was building the most innovative observability company, security seemed too distant. Leverage AI for proactive protection: AI and contextual analytics are game changers, automating the detection, prevention, and response to threats in real time. No more manually piecing together data sources for security analytics.
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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. Logs on Grail Log data is foundational for any IT analytics. Grail and DQL will give you new superpowers.”
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Dynatrace advanced observability – Dynatrace goes beyond m etrics, logs and traces are important to provide distributed tracing, code-level detail on entity relationships and topology, as well as user experience and behavior data that agencies need to take command of their dynamic?hybrid hybrid and?multi multi – cloud?environments,
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