mmcclellan

New to Cortex but when looking at a comparison of Prometheus and InfluxDB (like https://prometheus.io/docs/introduction/comparison/#promethe...) it appears that Cortex offers similar horizontal scalability features to the InfluxDB Enterprise offering. The linked comparison does note the difference between event logging and metrics recording but I am curious (choosy beggar that I am) whether others consider them separate tooling or whether it is possible to remain performant using one solution.

Thanks. Definitely worth the 120 billion nanoseconds it takes to watch.

Watching the live stream now (https://live-stream.github.com/). Will likely use the Docker support near immediately. Hoping Singularity will be supportable as well.

Facebook's press release https://newsroom.fb.com/news/2019/03/keeping-passwords-secur... on the matter is pretty nonchalant:

>Keeping Passwords Secure >As part of a routine security review in January, we found that >some user passwords were being stored in a readable format >within our internal data storage systems.

Nothing to see here folks.

Are these really simpler than an electric kettle and a Hario v60?

It sounds like the VMWare comment is most likely, but I thought I would share how I learned of the project just yesterday. There was a HN post yesterday about https://sr.ht/ and in looking at that I noticed the project used a blacklist of usernames that I thought was cool, so when I took a look at that project it had a link to this repo.

In the OVH case, a modified kernel was being shipped without (apparently) following the guidelines. I've seen an AWS suffix on kernel upgrades and they may or may not have an agreement to pay, but I'm thinking _very definitely_ is stated too strongly.

I had just stumbled across https://github.com/facebookincubator/python-nubia and am anxious to try it out. Was wondering about the internal project it was factored out from. This appears to be it.

I have seen this discussed online several times. Here is a HN thread:

https://news.ycombinator.com/item?id=14192894

that indicates the text Feynman first used was Calculus for the Practical Man by J. E. Thompson. Both are quality texts and as the linked HN thread notes, can be found on archive.org.

monitoring thread for mentions of tooling. Seen teleport and vault - no mention yet of bless/blessclient yet.

I got the email about an hour ago. My first reaction was embarrassingly hipster.

I first heard the Minix thing in this talk: https://www.youtube.com/watch?v=iffTJ1vPCSo which I found, I think via a HN thread. Anyway, most of the articles rehash this talk and IMO its a solid 30 minute investment.

That's actually an interesting stat. If there are ~115 million US households and 20% have > $100,000 income, that is ~23 million households. If 18-24 year olds make up ~9.5% of the population, and we 'assume' they are evenly distributed in these households, then this statement (well 18-24) could be true.

vendros - mind blown

Coverage:

Verge: https://www.theverge.com/2017/7/6/15929312/google-blocks-vr-...

Wired: https://www.wired.com/story/google-blocks-vr/

Engadget: https://www.engadget.com/2017/07/06/google-blocks-virtual-3d...

This is where I first got interested in MapD. The author has a new post detailing how to compile MapD: http://tech.marksblogg.com/compiling-mapd-ubuntu-16.html

I really liked the way that Iverson built up concepts in his [Arithmetic (PDF)](http://www.jsoftware.com/books/pdf/arithmetic.pdf) manual for J. I found it very intuitive and useful even if you never plan to use the language. There are others at the site like his manual for Exploring Math and one for Calculus as well.

On the GPU side of things, I can confirm that AWS p2.xlarge has worked well for me. It has one Tesla K80. Azure's offering is similarly priced. Back in November Google Cloud announced P100 GPUs would be available soon; that will be interesting.

I remember back in those early days seeing job requirements that listed 10+ years .NET. Nice to see some people actually have that now.

For home play K.C. Munchkin actually turned out to be the better game.

This was a good idea for a test. I'll definitely check out the author's other stuff. Commenting briefly on cost: while the article mentions the free 32 bit version early on, the actual benchmarks were done using the commercial version. I've had the impression the comercial version was cost prohibitive for us poor folks. For those interested in experimenting with Xeon Phi though, it looks like you can get started for ~$5k: http://dap.xeonphi.com/

I have used and recommend [nvidia-docker](https://github.com/NVIDIA/nvidia-docker) for exploration (at least for those with a docker-capable kernel as the base OS).

that was my thought. Though no Python yet:

> AWS X-Ray supports tracing for applications that are written in Node.js, Java, and .NET.

Where in Boston could someone possibly find a two bedroom for $2600? Shenanigans

I remember that page. Thinking back some of the stuff on Plain Text formats, the Unix Way, YNGNI really did influence me.

"Background material needed for an undergraduate course has been put in the appendix."

So just being honest, the Appendix is still rather terse and advanced for me. Does anyone have suggestions for prerequisite readings that would help getting someone prepared for this text?

If anything, the new price point for the Dot and the fact that the Tap has been on sale for $99 recently could presage a lower price point for the Echo this holiday season.

If this is true of Truffle salt, then I have definitely fell for it before. At least Wikipedia suggests truffle salt is not usually of synthetic origin (https://en.wikipedia.org/wiki/Truffle_salt)

Thanks. That fixed me up:

In [6]: r.connect(host="localhost", port=28015, password="", ssl={"ca_certs": "./cert.pem"}).repl() Out[6]: <rethinkdb.net.DefaultConnection at 0x7f92ea759fd0>