Remove 2014 Remove Analytics Remove Efficiency Remove Innovation
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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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Dynatrace named a Leader in 2020 Gartner?Magic Quadrant for APM – positioned furthest for Completeness of Vision; scored highest in 5 of 6 Critical Capabilities use cases

Dynatrace

In addition to APM , th is platform offers our customers infrastructure monitoring spanning logs and metrics, digital business analytics, digital experience monitoring, and AIOps capabilities. Our employees listen carefully to our customers and innovate continuously. This combination sets us apart. .

DevOps 240
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AWS Re:Invent 2021 guide: Multicloud modernization and digital transformation

Dynatrace

When Amazon launched AWS Lambda in 2014, it ushered in a new era of serverless computing. Serverless architecture enables organizations to deliver applications more efficiently without the overhead of on-premises infrastructure, which has revolutionized software development. Dynatrace news. AIOps done right.

AWS 225
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How to evaluate modern APM solutions

Dynatrace

A truly modern APM solution provides business analytics, such as conversions, release success, and user outcomes across web, mobile, and IoT channels, linking application performance to business KPIs. “Observability is an important aspect for managing our infrastructure stack, and Dynatrace helps us do it efficiently.

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Rebuilding Netflix Video Processing Pipeline with Microservices

The Netflix TechBlog

Moving away from the use of dedicated instances that were constrained in quantity, we tapped into Netflix’s internal trough created due to autoscaling microservices, leading to significant improvements in computation elasticity as well as resource utilization efficiency. This introductory blog focuses on an overview of our journey.

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Data Mining Problems in Retail

Highly Scalable

most of them are structured as data scientist manuals focusing on algorithms and methodologies and assume that human decisions play a central role in transforming analytical findings into business actions. This framework will later be used to describe analytical problems in a more uniform way.

Retail 152
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Content Management Systems of the Future: Headless, JAMstack, ADN and Functions at the Edge

Abhishek Tiwari

Most of the CMS vendors dodge questions of evolution by talking about incremental innovation primarily focused on customer experience (CX) such as analytics and personalisation. There is hardly any innovation from traditional CMS vendors. Circa 2014, I was working with a big Japanese automotive brand in Australia.

Systems 63