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What is security analytics?

Dynatrace

As a result, organizations are implementing security analytics to manage risk and improve DevSecOps efficiency. Fortunately, CISOs can use security analytics to improve visibility of complex environments and enable proactive protection. What is security analytics? Why is security analytics important? Here’s how.

Analytics 220
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Data Reprocessing Pipeline in Asset Management Platform @Netflix

The Netflix TechBlog

Production Use Cases Real-Time APIs (backed by the Cassandra database) for asset metadata access don’t fit analytics use cases by data science or machine learning teams. This feature support required a significant update in the data table design (which includes new tables and updating existing table columns).

Media 237
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Privacy controls and barriers to session replay

Dynatrace

Teams use this data to identify, analyze, and fix coding errors, UX/UI design, microservices, and other technical issues to improve usability and provide a better digital customer experience. A simple example is the common action of filling out an online form. Examples include the following. Medical data.

Analytics 181
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DevOps automation: From event-driven automation to answer-driven automation [with causal AI]

Dynatrace

For example, consider an e-commerce website that automatically sends personalized discount codes to customers who abandon their shopping carts. Let’s examine a few examples of answer-driven automation using AI and context. DevOps automation example #2: Threat detection and response Let’s build on the previous example.

DevOps 209
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What is a Distributed Storage System

Scalegrid

Their design emphasizes increasing availability by spreading out files among different nodes or servers — this approach significantly reduces risks associated with losing or corrupting data due to node failure. These distributed storage services also play a pivotal role in big data and analytics operations.

Storage 130
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How digital experience monitoring helps deliver business observability

Dynatrace

STM generates traffic that replicates the typical path or behavior of a user on a network to measure performance for example, response times, availability, packet loss, latency, jitter, and other variables). How automatic and intelligent AIOps makes DEM and business observability possible.

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AWS observability: AWS monitoring best practices for resiliency

Dynatrace

EC2 is Amazon’s Infrastructure-as-a-service (IaaS) compute platform designed to handle any workload at scale. EC2 is ideally suited for large workloads with constant traffic. AWS Lambda makes it easy to design, run, and maintain application systems without having to provision or manage infrastructure. AWS Lambda.