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This is a guest post by Psi Mankoski (email), Principal Engineer, Aerospike. When a customer’s business really starts gaining traction and their web traffic ramps up in production, they know to expect increased server resource load. But what do you do when memory usage still keeps on growing beyond
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This is a guest post by Tommaso Barbugli the CTO of getstream.io, a web service for building scalable newsfeeds and activity streams. In January we migrated our entire infrastructure from dedicated servers in Germany to EC2 in the US. The migration included a wide variety of components, web workers,
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Now that you’ve transformed your system through successive evolutions of architecture goodness...you've made it cloud native, you now treat a fist full of datacenters as a single computer, you’ve microservicized it, you’ve containerized it, you’re continuously releasing and improving it, you’ve made
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If you are one of those people that think most of the products featured on HighScalability use way too many servers then you'll love this story: 130 VMs serving less than 10,000 users daily were chopped down to just one machine. Here's the setup. A
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I mainly know of Matt Cutts, long time Google employee (since 2000) and currently head of Google's Webspam team, from his appearances on TwiT with Leo Laporte. On TwiT Matt always comes off as smart, thoughtful, and a really nice guy. This you might expect. What I didn’
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On the excellent Accidental Tech Podcast there's a running conversation about Marco Arment's (Tumblr, Instapaper) switch to Go, from a much loved PHP, to implement feed crawling for Overcast, his popular podcasting app for the iPhone. In Episode 101 (at about 1:10) Marco said he
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RIP to my fallen robot followers on Instagram, if there's a heaven for robot instagram users, you guys are in there — alldaychubbyboy (@Allday) How do you scale to handle increased user traffic? Have less traffic. No, this is not a koan. The best way to deal with traffic
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Within one week Ello went from thousands of sessions a day to a few million sessions a day. Mike Pack wrote a great article sharing what they’ve learned: 5 Early Lessons from Rapid, High Availability Scaling with Rails. Some of their scaling challenges: quantity of data, team size, DNS,
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This a guest post by Alex Zhitnitsky, an engineer working at Takipi, who is on a mission to help Java and Scala developers solve bugs in production and rid the world of buggy software. How to approach the production debugging conundrum? All sorts of wild things happen when your code
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Linus Torvalds in his usual politically correct way made a typically understated statement about “pushing the whole parallelism snake-oil” that generated almost no response whatsoever. Well, not quite. His comment on Avoiding ping pong has generated hundreds of responses, both on the original post and on Reddit. The contention: The
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Increasing responsiveness by parallelizing and prefetching content using hints and dependency graphs, is an old concept, but seldom do we see such a nice tight example of the benefit as is given by the great Ilya Grigorik in this G+ post. The insight here is that we're initiating
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James Hamilton hid a pearl of wisdom inside Why Renewable Energy (Alone) Won't Full Solve the Problem that I think is well worth prying out: I’ve long advocated the use of economic incentives to drive innovative uses of computing resources inside the company while preventing costs from