InfoQ Homepage Infrastructure Content on InfoQ
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Spring and Big Data
Thomas Risberg discusses developing big data pipelines with Spring, focusing around the code needed and he also covers how to set up a test environment both locally and in the cloud.
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Mesos: A State-of-the-art Container Orchestrator
Jie Yu discusses how containers are managed in Mesos, the future of container support in Mesos, and shows some of the new container networking and storage features.
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Uses of Big Data by a Non-Profit Engaged in Conducting Events Funded in Part by Third Party Sponsors
Thomas Grilk discusses how a non-profit can efficiently use data from customers/athletes in its marketing and sponsorship activities while respecting the privacy and confidentiality of its customers.
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Scaling Dropbox
Preslav Le talks about how Dropbox’s infrastructure evolved over the years, how it looks today, as well the challenges and lessons learned on the way.
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TensorFlow: A Flexible, Scalable & Portable System
Rajat Monga talks about why Google built TensorFlow, an open source software library for numerical computation using data flow graphs, and what were some of the technical challenges in building it.
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Visual Rules of the Road for Big Data Practitioners
David Fisher discusses via example how to build a data navigation language into visualizations, providing an intuitive user experience via the mechanism of subtle visual cuing.
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In-Memory Caching: Curb Tail Latency with Pelikan
Yao Yue introduces Pelikan, a framework to implement distributed caches such as Memcached and Redis.
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How Slack Works
Keith Adams tours Slack's infrastructure from clients into the Slack datacenter, and around the various services that provide real-time messaging, search, voice calls, and custom emoji.
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Validation Methodology of Large Unstructured Unsupervised Learning Systems
Lawrence Chernin describes best practices and validation methods used to deal with large unstructured data, including a suite of unit tests covering the implementations of algorithmic equations.
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How Predictive Analytics Boosts the Customer Experience at the Georgia Aquarium
Beach Clark talks about the technological and cultural challenges of turning data science into a vital part of the business model at Georgia Aquarium.
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Overview of Artificial Intelligence and Its Use in Analyzing “Voice of Cancer Patients”
Alok Aggarwal overviews Artificial Intelligence and discusses a use case, “Voice of Cancer Patients” that uses ML and NLP algorithms to analyze unstructured text written by cancer patients.
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Leadership Election with Spring Cloud Cluster
Dave Syer shows how Spring Cloud Cluster provides a simple abstraction for leader election and how it is implemented using Zookeeper, Hazelcast and etc.
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