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

Dynatrace

Software automation enables digital supply chain stakeholders — such as digital operations, DevSecOps, ITOps, and CloudOps teams — to orchestrate resources across the software development lifecycle to bring innovative, high-quality products and services to market faster. What is software analytics?

Software 195
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Data Engineers of Netflix?—?Interview with Pallavi Phadnis

The Netflix TechBlog

During earlier years of my career, I primarily worked as a backend software engineer, designing and building the backend systems that enable big data analytics. I developed many batch and real-time data pipelines using open source technologies for AOL Advertising and eBay.

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AIOps observability adoption ascends in healthcare

Dynatrace

Every day, healthcare organizations across the globe have embraced innovative technology to streamline the delivery of patient care. Many hospitals adopted telehealth and other virtual technology to deliver care and reduce the spread of disease. Dynatrace news. Overwhelming complexity. Cybercriminals have targeted healthcare.

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Top 15 Software Testing Trends to Watch Out in 2021

DZone

The introduction of innovative technologies has brought the newest updates in software testing, development, design, and delivery. Nowadays, Big Data tests mainly include data testing, paving the way for the Internet of Things to become the center point. Besides, AI and ML seem to reach a new level.

Software 186
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What is container orchestration?

Dynatrace

Within every industry, organizations are accelerating efforts to modernize IT capabilities that increase agility, reduce complexity, and foster innovation. Container technology enables organizations to efficiently develop cloud-native applications or to modernize legacy applications to take advantage of cloud services.

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How Our Paths Brought Us to Data and Netflix

The Netflix TechBlog

I bring my breadth of big data tools and technologies while Julie has been building statistical models for the past decade. Julie] Chris and I have the same primary stakeholders (or engineering team that we support): Encoding Technologies. Tell me about some of the exciting projects you’re a part of.

Analytics 223
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Data Engineers of Netflix?—?Interview with Samuel Setegne

The Netflix TechBlog

I personally loved looking at raw data and using it to understand patterns in the world through technology. clinical data was often small enough to fit into memory on an average computer and only in rare cases would its computation require any technical ingenuity or massive computing power. For example?—?clinical