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This is a guest post by Denis Brækhus and Espen Braastad, developers on the Varnish API Engine from Varnish Software. Varnish has long been used in discriminating backends, so it's interesting to see what they are up to. Varnish Software has just released Varnish API Engine, a high
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Snabb Switch - a toolkit for solving novel problems in networking. If you are building a new packet-processing network appliance then you can use Snabb Switch to get the job done more quickly. Here's a great impassioned overview from erichocean: https://github.com/SnabbCo/snabbswitch Our current engineering
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I don't know about you, but when I first learned about Redis my initial thought was wow, why hasn't anyone done this before? My next thought was why put this functionality in a separate process? Why not just embed it in your own server code and
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Tachyon (github) is interesting new filesystem brought to by the folks at the UC Berkeley AMP Lab: Tachyon is a fault tolerant distributed file system enabling reliable file sharing at memory-speed across cluster frameworks, such as Spark and MapReduce.It offers up to 300 times higher throughput than HDFS, by
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At some point as a programmer you might have the insight/fear that all programming is just doing stuff to other stuff. Then you may observe after coding the same stuff over again that stuff in a program often takes the form of interacting patterns of flows. Then you may
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This is a guest post by Sachin Sinha, Founder of Iqlect and developer of BangDB. The goal for the paper is to provide the performances data for following embedded databases under various scenarios for random operations such as write and read. The data is presented in graphical manner to make
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This post is by Hasan Ceylan, an Open Source software enthusiast from Istanbul. I loved the JPA 1.0 back in early 2000s. I started using it together with EJB 3.0 even before the stable releases. I loved it so much that I contributed bits and parts for JBoss
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My name is Russell Sullivan, I am the author of AlchemyDB: a highly flexible NoSQL/SQL/DocumentStore/GraphDB-datastore built on top of redis. I have spent the last several years trying to find a way to sanely house multiple datastore-genres under one roof while (almost paradoxically) pushing performance to its
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This is a guest post by Ron Pressler, the founder and CEO of Parallel Universe, a Y Combinator company building advanced middleware for real-time applications. A little over a month ago, we open-sourced a new in-memory data grid called Galaxy. An in-memory data grid, or IMDG, is a clustered data
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This is an interview with MemSQL cofounder’s Eric Frenkiel and Nikita Shamgunov, in which they try to answer critics by going into more depth about their technology. MemSQL ruffled a few feathers with their claim of being the fastest database in the world. According to their benchmarks MemSQL can
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GraphChi uses a Parallel Sliding Windows method which can: process a graph with mutable edge values efficiently from disk, with only a small number of non-sequential disk accesses, while supporting the asynchronous model of computation. The result is graphs with billions of edges can be processed on just a single
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Snooze is an open-source, scalable, autonomic, and energy-efficient virtual machine (VM) management framework for private clouds. Similarly to other VM management frameworks such as Nimbus, OpenNebula, Eucalyptus, and OpenStack it allows to build compute infrastructures from virtualized resources. Particularly, once installed and configured users can submit and control the life-cycle
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If you are interested in future foward OS designs then you might find Akaros worth a look. It's an operating system designed for many-core architectures and large-scale SMP systems, with the goals of: * Providing better support for parallel and high-performance applications * Scaling the operating system to a large
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This is guest post by Michael DeHaan (@laserllama), a software developer and architect, on Ansible, a simple deployment, model-driven configuration management, and command execution framework. I owe High Scalability a great deal of credit for the idea behind my latest software project. I was reading about how an older tool
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As it is said in the recent article "Google: Taming the Long Latency Tail - When More Machines Equals Worse Results" , latency variability has greater impact in larger scale clusters where a typical request is composed of multiple distributed/parallel requests. The overall response time dramatically decreases if
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The Peregrine falcon is a bird of prey, famous for its high speed diving attacks, feeding primarily on much slower Hadoops. Wait, sorry, it is Kevin Burton of Spinn3r's new Peregrine project--a new FAST modern map reduce framework optimized for iterative and pipelined map reduce jobs--that feeds on