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Xorlev
searching PlanetScale…
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23 ms
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241.
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by
Xorlev
9y ago
I'm sure there are a few teams that use Mercurial incidentally somewhere, but our primary megarepo is all on a VCS called Piper. Piper has a Perforce-y interface and there are experimental efforts to use Mercurial with Piper. Also ment
242.
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Xorlev
9y ago
Which claims does it refute? I'm not able to watch the video, but I'm interested.
243.
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Xorlev
10y ago
Omega isn't what's used AFAIK. In any case, the actual scheduler data is not the state in question.
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Xorlev
10y ago
It could also lead to greater ownership sharing. If cars are self driving, at that point it's more like a taxi.
245.
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Xorlev
10y ago
Too much chaos and choice and you slow down because everyone has done the same things in slightly different ways. There's a fine balance between allowing choice and setting standards. There's productivity gains as well from having
246.
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by
Xorlev
10y ago
> Well, there's knobs you can manually control to throttle the producer, but it's in your own hands. You're dancing at the edge of a cliff if a consumer has died and messages start expiring; there's nothing stopping d
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Xorlev
10y ago
Been in the startup game, totally understand. I'm presenting my view, which could be wrong but I figured you'd like my unfiltered feedback. Like I said before, we too had it wrong from the start and products we launched after were
248.
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by
Xorlev
10y ago
I'd still say you need to take a hard look at your pricing. Lets assume we're talking about a pretty standard Rails site on Heroku without ridiculous traffic. Lets say 1500 requests per minute average (25/s). 25 * 86400 * 30
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by
Xorlev
10y ago
This math _is_ right. 1000 requests/s is 86.4M requests per day. So for 1000 requests in a given second, that's $0.05 per second if you substitute the term. But to show you otherwise: 1000 req/s * 86400s * 30d / 1000 * 0
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Xorlev
10y ago
Wow, this is _really_ expensive! I'm sorry, but $0.05/1000 requests is really really premium. 1000 request/s is $0.05/s. 86400s/day * 30 days * $0.05 -> $129.6K/30d. 1k req/s is not that uncommon either
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by
Xorlev
10y ago
The problem is the volume of certs needed, not the simplicity of LE for the smaller usecase.
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Xorlev
10y ago
> I literally spent part of an evening with a beer Just one? :) Consensus algorithms are _fascinating_! And +1 for https://blog.acolyer.org/ , I'll often read his blog over lunch. Another great paper is https:/
253.
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by
Xorlev
10y ago
Let's not pretend that you can't fabricate emails too. I strongly suspect that the existence and timestamps of the Drive logs can be verified at multiple levels and exist in backups made around that time. HTTP logs as well as MTA
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Xorlev
10y ago
> 1) confirms they do have data and the ability to turn it over Not necessarily. We don't know what they handed over. For all we know right now, it literally could be a single request to start a timer or check the weather. The use o
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Xorlev
10y ago
Sure, but lets say you have well-formed HTML tags. At that point you're looking for things semantically "weird" as opposed to structurally wrong. This helps there.
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Xorlev
10y ago
I'm not sure you saw the scale of that spillway. It is _massive_. Something like 300ft wide and 3000 feet long. An entire football field wide. It's quite obviously not 4 inches thick, but admittedly at the scale of it, 15" do
257.
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Xorlev
10y ago
And then they lost their homes. So there's that.
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Xorlev
10y ago
Can we trust it was only those domains?
259.
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Xorlev
10y ago
> One of the advantages of being a service is that bugs can go from reported to fixed in minutes to hours instead of months. The industry standard time allowed to deploy a fix for a bug like this is usually three months; we were complete
260.
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Xorlev
10y ago
Security by obscurity is no security at all. Revoke the creds and then either just remove them or run BFG as a secondary measure.
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Xorlev
10y ago
At what point do infrastructure services become the platform? IMO, between GKE, Spanner, BigQuery, etc., it's basically a PaaS for non-trivial applications.
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Xorlev
10y ago
This is a great project. However, it not a very useful result (1M RPS in Python). Once you start layering more work into your handlers (JSON deserialization, admittedly C-optimized, business logic, IO, etc.), you can be assured that your HT
263.
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by
Xorlev
10y ago
It's true, the startup costs of a MapReduce job are immense. I'm surprised by minutes, but I'm not sure this counts since there are and always will be different solutions and different tradeoffs for problems of different orde
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by
Xorlev
10y ago
> The fact that Scala as a language allows something like SBT to not only be created, but accepted, means I don't want anything to do with it. FWIW, we agree and continue to use Gradle, despite making investments in Scala.
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by
Xorlev
10y ago
Since each ingest process talked directly to the Accumulo tablet local to it, it really measured loopback+RPC+DFS performance. Knowing how these things usually go, it might have been 100M rows/s but only 100k-1M RPCs/s. It's
266.
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Xorlev
10y ago
Still, it suffers from a lack of visibility. I'd only heard about it because one of our DB vendors in the past had mentioned integrating with it. That said, it's had a lot of interesting development in the last few years (e.g. oce
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Xorlev
10y ago
> That's actor model aka the original OO. OO as taught today is nothing like how Alan Kay imagined OO [1]. Alan Kay originally imagined OO as biological cells only able to communicate via message-passing. That's the actor model
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by
Xorlev
10y ago
It's not impossible to have a O(N) sorting algorithm if you add more constraints, e.g. use operations other than comparisons. Most people would be fine with a hybrid radix sort for day to day use.
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Xorlev
10y ago
I can see where my statement was ambiguous, I'd intended to say that the GC developers spend tons of time tuning their implementations to fit their users' workloads. I will say that "government project which serves the whole
270.
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Xorlev
10y ago
That's fair, so long as all of your requests have similar allocation profiles. I work on a service which has requests of variable complexity ranging from basically free (10s of KBs) to 10s-100s of MB of allocation. G1GC with a low paus
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