Searching 1.5TB/sec: Systems Engineering Before Algorithms | Scalyr
TL;DR: Four years ago, I left Google with the idea for a new kind of server monitoring tool. The idea was to combine traditionally separate functions such as log exploration, log aggregation and analysis, metrics gathering, alerting, and dashboard generation into a single service. One tenet was that the service should be fast, giving ops teams a lightweight, interactive, “fun” experience. This wou
Irreversible Failures: Lessons from the DynamoDB Outage | Scalyr
Summary: Most server problems, once identified, can be quickly solved with a simple compensating action—for instance, rolling back the bad code you just pushed. The worst outages are those where reversing the cause doesn’t undo the effect. Fortunately, this type of issue usually generates some visible markers before developing into a crisis. In this post, I’ll talk about how you can avoid a lot of
Optimizing AngularJS: 1200ms to 35ms | Scalyr
Edit: Due to the level of interest, we’ve released the source code to the work described here: https://github.com/scalyr/angular. Here at Scalyr, we recently embarked on a full rewrite of our web client. Our application is a broad-spectrum monitoring and log analysis tool. Our home-grown log database executes most queries in tens of milliseconds, but each interaction required a page load, taking s
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LogRunners by Scalyr
