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Kubernetes in the wild report 2023

Dynatrace

Modern, cloud-native computing is impossible to separate from containers and Kubernetes adoption. As Kubernetes adoption increases and it continues to advance technologically, Kubernetes has emerged as the “operating system” of the cloud. Kubernetes moved to the cloud in 2022. Java, Go, and Node.js Java, Go, and Node.js

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Which Programming Language Is Most Popular for UI Test Automation in 2019?

DZone

More than half of the top ten companies in software, financial services, and healthcare verticals have enhanced their UI test automation suites with Applitools' visual validation. You may also like: 10 Programming Languages You Should Know in 2019. What Our Data Is Saying.

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Log4Shell highlights need for secure digital transformation with observability, vulnerability management

Dynatrace

This zero-day vulnerability enables a remote attacker to take control of a device or Internet-based application if the device or app runs certain versions of Log4j 2, a popular Java library. For Avisi , a software development and cloud services company in the Netherlands, its Log4Shell response was immediate and automatic.

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Expanding the Cloud: Introducing the AWS Asia Pacific (Mumbai) Region

All Things Distributed

Examples of continuous sensing are found in the managed cloud platform built by Rachio on AWS IoT to enable the secure interaction of its connected devices with cloud applications/other devices. In addition, Change Healthcare. Seamless ingestion of large volumes of sensed data. Let’s build groundbreaking innovations together.

AWS 90
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2021 Data/AI Salary Survey

O'Reilly

Cloud certifications, specifically in AWS and Microsoft Azure, were most strongly associated with salary increases. As we’ll see later, cloud certifications (specifically in AWS and Microsoft Azure) were the most popular and appeared to have the largest effect on salaries. Salaries were lower regardless of education or job title.

Azure 145
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Real-Time Digital Twins Simplify Code in Streaming Applications

ScaleOut Software

In the above power grid example, the code needed only consists of a few lines of Java code which embed a set of rules for interpreting state changes from a node in the power grid. Others include fleet and traffic management, healthcare, financial services, IoT, and e-commerce recommendations.

Code 52
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Use Parallel Analysis – Not Parallel Query – for Fast Data Access and Scalable Computing Power

ScaleOut Software

Hosted on commodity clusters or cloud infrastructures, IMDGs harness the power of distributed computing to deliver scalable storage capacity and access throughput, along with integrated high availability. Looking beyond distributed caching, it’s their ability to perform data-parallel analysis that gives IMDGs such exciting capabilities.