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Revolutionizing System Testing With AI and ML

DZone

This can include the use of cloud computing, artificial intelligence, big data analytics, the Internet of Things (IoT), and other digital tools. One of the significant challenges that come with digital transformation is ensuring that software systems remain reliable and secure. This is where software testing comes in.

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Auto-Diagnosis and Remediation in Netflix Data Platform

The Netflix TechBlog

By Vikram Srivastava and Marcelo Mayworm Netflix has one of the most complex data platforms in the cloud on which our data scientists and engineers run batch and streaming workloads. And we can’t discount the productivity impact it causes on data platform users.

Big Data 238
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RSA Guide 2023: Cloud application security remains core challenge for organizations

Dynatrace

Today’s organizations face increasing pressure to keep their cloud-based applications performing and secure. Cloud application security remains challenging because organizations lack end-to-end visibility into cloud architecture. In many cases, organizations don’t discover vulnerabilities until after they have been exploited.

Cloud 185
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Kubernetes for Big Data Workloads

Abhishek Tiwari

Kubernetes has emerged as go to container orchestration platform for data engineering teams. In 2018, a widespread adaptation of Kubernetes for big data processing is anitcipated. Organisations are already using Kubernetes for a variety of workloads [1] [2] and data workloads are up next. Key challenges. Performance.

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

Dynatrace

Software automation is the practice of creating software applications to reduce or eliminate human intervention in repetitive, time-consuming IT tasks and cloud operations. This involves big data analytics and applying advanced AI and machine learning techniques, such as causal AI. What is software automation?

Software 186
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Kubernetes in the wild report 2023

Dynatrace

Modern, cloud-native computing is impossible to separate from containers and Kubernetes adoption. The study analyzes factual Kubernetes production data from thousands of organizations worldwide that are using the Dynatrace Software Intelligence Platform to keep their Kubernetes clusters secure, healthy, and high performing.

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What is ITOps? Why IT operations is more crucial than ever in a multicloud world

Dynatrace

As more organizations adopt cloud-native technologies, traditional approaches to IT operations have been evolving. Complex cloud computing environments are increasingly replacing traditional data centers. In fact, Gartner estimates that 80% of enterprises will shut down their on-premises data centers by 2025.