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Expanded Grail data lakehouse and new Dynatrace user experience unlock boundless analytics

Dynatrace

Grail – the foundation of exploratory analytics Grail can already store and process log and business events. Let Grail do the work, and benefit from instant visualization, precise analytics in context, and spot-on predictive analytics. You no longer need to split, distribute, or pre-aggregate your data.

Analytics 239
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TTP-based threat hunting with Dynatrace Security Analytics and Falco Alerts solves alert noise

Dynatrace

In this blog post, we’ll use Dynatrace Security Analytics to go threat hunting, bringing together logs, traces, metrics, and, crucially, threat alerts. Customers also want to carry out their own analysis tailored to specific use cases and forensic needs. Therefore, we filtered them out with DQL. htaccess.

Analytics 205
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Overseeing SaaS security with AWS AppFabric and Dynatrace

Dynatrace

Customers can then ingest logs from AWS into the Dynatrace® platform, for in-depth log management and security analytics powered by Grail TM. Notebooks are a perfect tool to understand and perform an in-depth analysis of AWS AppFabric logs, thanks to the powerful Dynatrace query language, DQL.

AWS 253
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What is software automation? Optimize the software lifecycle with intelligent automation

Dynatrace

In what follows, we define software automation as well as software analytics and outline their importance. What is software analytics? This involves big data analytics and applying advanced AI and machine learning techniques, such as causal AI. We also discuss the role of AI for IT operations (AIOps) and more.

Software 196
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Privacy controls and barriers to session replay

Dynatrace

Session replay is a more visual approach to understanding user behavior compared with traditional analytics tools that focus primarily on bounce rates, conversions, and page views. Most internet users shop online, providing a name, address, and credit card number to complete an order. Consumer data.

Analytics 201
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Observations on the Importance of Cloud-based Analytics

All Things Distributed

Many of these innovations will have a significant analytics component or may even be completely driven by it. For example many of the Internet of Things innovations that we have seen come to life in the past years on AWS all have a significant analytics components to it. Cloud analytics are everywhere.

Analytics 135
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Data Engineers of Netflix?—?Interview with Kevin Wylie

The Netflix TechBlog

In this post, Kevin talks about his extensive experience in content analytics at Netflix since joining more than 10 years ago. Before joining Netflix, he worked at MySpace, helping implement page categorization, pathing analysis, sessionization, and more. When I joined Netflix back in 2011, our content analytics team was just 3 people.