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BIG DATA
New GE Performance Whitepaper Shows Pivotal GemFire To Be Industrial Strength

A technical white paper recently published by GE Power & Water and GE Global Research highlights the benefits of running Pivotal products for storing large amounts of data, while simultaneously taking in new data and deploying real-time analysis. The paper focuses on a series of performance, stability and load tests that GE did on Pivotal GemFire. The results of the tests were impressive, with the final round running for 5 days, ingesting 100K points per second and storing three days’ worth of replicated high-velocity data in memory across a large cluster of 46 machines.

BIG DATA
Case Study: 300% Increase in App Performance with India Rail on Pivotal GemFire

With India’s massive online population growth, the e-ticketing systems supporting India Rail faced a major challenge with scale. At a recent forum in India, the team responsible for the applications explained how they overcame the scale and other issues with Pivotal GemFire, tripling application throughput.

LABS
Using database views for performance wins in Rails

Sometimes you come across a problem where your go-to approaches start to fail you. I came across one of these examples recently where a Rails app required a report to be built which consumed data from almost every model within the application.

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POINT OF VIEW
Pivotal Analytics Workbench Demonstrates the Ease of Switching Between FDR InfiniBand and 40Gigabit Ethernet

Pivotal’s Analytics Workbench offers partners the power of a 1000-node Hadoop cluster, providing a publicly-available data processing powerhouse, free of charge, for 90 day engagements. It also offers a powerful platform for testing. To this end, the AWB team collaborated in October with Pivotal’s partner Mellanox Technologies to test the effect of flipping the cluster’s network connection between InfiniBand and Ethernet on-the-fly, affording customers unparalleled flexibility for cost savings in their Hadoop deployments. This approach also proved they were able to run the cluster in mixed mode. Mixed mode allows you to use one vendor and bridge separate network-connected platforms—for example, connecting a Hadoop cluster to both EMC storage arrays and VMware vSphere. Such an approach reduces cost, difficulty, and latency.

LABS
JavaScript Performance and Debugging for Web Apps

As browsers on mobile and desktop progress, JavaScript on the client side has continuously become more robust and is powering a wide array of increasingly advanced applications. JavaScript applications are becoming larger and moving to mobile; both situations warrant a more serious look at performance than JavaScript implementations of the past.

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LABS
Ruby/rails performance tools

You have a rails webapp, you’re doing TDD, you are always implementing the simplest thing that could possibly work. Well guess what, the simplest is not always the most performant. If you are always doing simplest thing you’ll not likely to face performance issues early in the product especially if it’s a new product and you won’t have lots of users nor data.

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POINT OF VIEW
Run Spring Apps 60x Faster with Spring Data + Pivotal GemFire

With Spring Data GemFire, you can potentially speed up Spring apps by 60X! In this article, we provide examples and explain how Spring connects with GemFire to offer extremely fast, real-time performance for cloud applications.

LABS
How to increase the performance of the Android Emulator

Many of you know how slow the emulator is. Programmers are likely to have finished development and submitted the app to the Play Store before the emulator is done booting up. Fortunately, Google announced that the emulator can now run native on the machine, therefore performing much faster.

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LABS
All evidence points to OOP being bullshit

This is the second part in a series I’m writing about lessons that can be learned from functional programming. Find the first part here.

Object Oriented Programming (OOP) as an idea has been oversold. The most commonly used languages in use today are designed around the idea of OOP.

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LABS
Why you should care about functional programming.

I’ve been experimenting with functional programming (FP) languages for a little while now and their acceptance is generally increasing amongst the wider developer community. This is the first post in a series of articles I hope to do that explore FP, what it is and what we could learn from this trend.

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