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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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Redis vs Memcached in 2024

Scalegrid

In this comparison of Redis vs Memcached, we strip away the complexity, focusing on each in-memory data store’s performance, scalability, and unique features. Redis is better suited for complex data models, and Memcached is better suited for high-throughput, string-based caching scenarios.

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World’s Top Web Performance Leaders To Watch

Rigor

Sergey is an open source developer, tireless educator on performance topics, and author of many web performance-related tools, including ShowSlow , SVN Assets , drop-in.htaccess and more. He tweets about Chrome initiatives, open source tools, and performance news @ paul_irish. Scott Jehl. Scott Jehl. Philip Tellis.

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40+ Best Web Development Blogs of 2018

KeyCDN

It’s awesome for discovering how grid systems, CSS animation, Big Data, etc all play roles in real-world web design. CSSWizardy CSSWizardy is a good place to learn about scalable CSS practices and robust coding in general. Be sure to check it out if your dev process needs a creative kick in the pants. Visit website 12.