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The price of NAND continues to plummet, and suddenly there are blistering fast all-flash arrays that cost less than .50 cents per GB. Unfortunately, even the most powerful all-flash arrays can choke on tiny bits of metadata. Flash is fast, but there are faster memory technologies. This means that there are ways to boost all-flash array performance; but if you have to cache for flash, you need some
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, âfunâ experience. This wou
Summary: Most server problems, once identified, can be quickly solved with a simple compensating actionâfor instance, rolling back the bad code you just pushed. The worst outages are those where reversing the cause doesnât undo the effect. Fortunately, this type of issue usually generates some visible markers before developing into a crisis. In this post, Iâll talk about how you can avoid a lot of
Twitter runs multiple large Hadoop clusters that are among the biggest in the world. Hadoop is at the core of our data platform and provides vast storage for analytics of user actions on Twitter. In this post, we will highlight our contributions to ViewFs, the client-side Hadoop filesystem view, and its versatile usage here. ViewFs makes the interaction with our HDFS infrastructure as simple as a
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