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.
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.
>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.
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.
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.
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.
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.