Strategy
Dr. Daniel Abadi, author of the DBMS Musings blog and Cofounder of Hadapt, which offers a product improving Hadoop performance by 50x on relational data, is now taking his talents to graph data in Hadoop's tremendous inefficiency on graph data management (and how to avoid it), which shares
cloud computing
It started out innocently enough with a simple question, “What exactly *is* the model for PaaS services scalability? If based on HTTP/REST API integration, fairly easy. If native middleware… input?” You’ll forgive the odd phrasing – Twitter’s limitations sometimes make conversations of this nature … interesting. The discussion culminated
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Who's Hiring? * BetterWorks is hiring a PHP Software Engineer in Los Angeles to help make enterprise software be as beautiful and usable as an Apple product. Please apply here. * TripAdvisor is Hiring Engineers at all Levels: Scalable Web Engineering Program. To apply for our Scalable Web Engineering Program,
nosql
Michael Stonebraker sure knows how to stir up a storm. Unlike for others, that doesn't make him a troll in my mind, he's way too accomplished in the field to be that, but he does have a bit of Barnum & Bailey in him, which serves
hot links
Submitted for your scaling pleasure: * Google's PageRank involves 500 million variables and 2 billion terms. SeaMicro Packs 768 Cores Into its Atom Server. Twitter: 1 Billion Items Delivered A Day Is Nice, Google+. We Do 350 Billion. * Potent quotables: * @merv - Does elastic scalability matter? Ask Apple about
Strategy
With a new Planet of the Apes coming out, this may be a touchy subject with our new overlords, but Netflix is using a whole lot more trouble injecting monkeys to test and iteratively harden their systems. We learned previously how Netflix used Chaos Monkey, a tool to test failover
analytics large database real time
Recently, I was reading Todd Hoff's write-up on FaceBook real time analytics system . As usual, Todd did an excellent job in summarizing this video from Engineering Manager at Facebook Alex Himel. In the first post, I’d like to summarize the case study, and consider some things that
Example
This is a guest post by Brian Doll, Application Performance Engineer at New Relic. New Relic’s multitenant, SaaS web application monitoring service collects and persists over 100,000 metrics every second on a sustained basis, while still delivering an average page load time of 1.5 seconds. We believe
Submitted for your scaling pleasure: * That's a lot of data...CERN: ATLAS produces up to 320M bytes per second, followed by CMS with 220M Bps. Amazon Cloud Now Stores 339 Billion Objects. CERN also has an open source hardware effort. * Domas Mituzas on why Facebook may just outlast
Example
Joseph Smarr, former CTO of Plaxo (which explains why I recognized his picture), in I'm a technical lead on the Google+ team. Ask me anything, reveals the stack used for building Google+: Our stack is pretty standard fare for Google apps these days: we use Java servlets for
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Who's Hiring? * TripAdvisor is Hiring Engineers at all Levels: Scalable Web Engineering Program. To apply for our Scalable Web Engineering Program, visit http://www.tripadvisor.com/careers/webprogram * Are you a scalability expert? eHarmony is looking for Senior Java Engineers to help implement and scale our Matching compatibility
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This is a guest post by Ran Grushkowsky, Head of Technology at ATMCash. Virtualization and cloud-based systems are very hype in the industry; however, most financial companies stray from those solutions. At ATMCash, we’ve approached virtualization not for the usual reason of scalability, but for the usually missed value