

At the time, a gag order prevented him from discussing the details of his situation. But court documents unsealed on Wednesday reveal that the FBI wanted Levinson to hand over encryption keys that would have given federal agents "real time" access to not just Snowden's account, but the accounts of all 40,000 of Lavabit's customers. § [...] § He certainly deserves credit for his pluck. Levinson complied with the letter of the order, but he delivered the encryption keys as strings of numbers printed out on paper, rather than as electronic files. What's more, he intentionally printed them in a font designed to be hard to scan, one prosecutors described as "largely illegible."





There are many benefits to keeping a lightweight stack. At Disqus, keeping the stack thin helps us scale Django to reach over 125 million unique visitors a month with just a small team of engineers. Avoiding complicated software packages until needed reduces unnecessary overhead, and has let us stay nimble, and use new capabilities in Django (i.e., database routing) and other software as they arise. The talk will cover key parts of the architecture and development process at Disqus, including databases (relational and non), queues, automated testing, and continuous deployment.

Välkommen till My CityCloud – en tjänst från City Network. My CityCloud ger dig möjligheten att sköta all din drift i molnet – sk ”Cloud Computing” eller vad som ofta också beskrivs som "elastic computing". Du kan du när som införskaffa mer datorkraft,

diskutrymme eller andra tjänster som ger full flexibilitet och tillåter dig att växa ”on demand”. Du väljer enkelt vilket operativsystem eller plattform du vill jobba med och du betalar bara för det du använder. Det finns inga som helst uppläggningsavgifter eller bindningstider.

Guess what? Almost all capacity changes are foreseeable. If you had done proper capacity planning, you would have had two key advantages:

* You would have added the capacity before it was needed, guaranteeing that the proper capacity is always in place.

* You would have discovered any operational issues with Amazon S3 before they impacted your operations (and thus allow you to take alternative steps to deal with the situation).



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In our benchmarks we were only able to push 35 MB/s on small instances. So the actual requests per seconds were dependent on the object size we were pushing. The limit was always ~35 MB/s. Our typical HTML pages were around 50 to 70 KB, so we couldn’t reach the desired requests per second as our instance was at its bandwidth limit.

Usually when one instance hits its resource limits you load balance multiple ones. HAProxy is a fine example for a very robust TCP/HTTP load balancer. The problem is though, that it will not increase your bandwidth as all your traffic has to go through this one HAProxy instance. So even when you load balance multiple instances, each one is capable of pushing ~35 MB/s (—> ~350 MB/s with 10 small instances), the bottleneck will still be at ~35 MB/s (aka the load balancer).

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