kparaju

OpenAI see.

OpenAI ignore.

OpenAI train.

You joke... but https://www.npmjs.com/package/is-odd-or-even

even (https://www.npmjs.com/package/even?activeTab=dependencies) pulls is-even.

is-even (https://www.npmjs.com/package/is-even?activeTab=dependencies) pulls is-odd.

is-odd (https://www.npmjs.com/package/is-odd?activeTab=dependencies) pulls is-number.

sigh

If Google lets LaMDA out in the open, they will see their margins shrink. Lose-lose for Google. Great move by Microsoft.

It's in the article: https://archive.md/pxG5o

https://archive.md/pxG5o/62269879416fb0636f7f390f94242675498...

You could probably do something like (for django):

  python manage.py migrate

on pod startup. If there are no changes, it'll do nothing. If there are changes, it'll do the migration.

In the authors case, terraform will create the EKS (kubernetes) cluster, which then is responsible for creating the EC2 instances. The actual application containers are then created by EKS.

Thanks for a great post! It was super detailed and I loved reading it. I had a quick question about your pg setup. You mentioned that you use EBS for your persistence storage, which is locked by zone . You can't have an EC2 instance in Zone 1 mount a storage in Zone 3. Does this cause issues with your db? Especially as you have HPA and ClusterAutoscaler, your k8s nodes could be spun up in Zone 1 for pg autoscaling but your data is in Zone 3.

Yeah, they have dredgers around for maintenance of the canal. This clip was from at least 6 months ago. https://youtu.be/P6st0k7KJmk

From the YouTube clip, it def seems like it's normal to see them when passing through the canal.

Some lessons I took from this retro:

- Disable autoscaling if appropriate during outage. For example if the web server is degraded, it's probably best to make sure that the backends don't autoscale down.

- Panic mode in Envoy is amazing!

- Ability to quickly scale your services is important, but that metric should also take into account how quickly the underlying infrastructure can scale. Your pods could spin up in 15 seconds but k8s nodes will not!

"It wasn't completely down because we had one rack in AZ A which was not impacted because we launched it to space on a Blue Origin rocket and forgot to remove the us-east-1 label."

FWIW, I don't think this YouTube outage has anything to do with the Instagram outage you are referring to.

Their dashboard says everything is up: https://status.cloud.google.com/

All three of the big cloud providers have a solution for ML model deployment and support more libraries than just Fast.AI. What are some of the reasons one would use Deepserve.ai vs. the other cloud providers?

This is really neat though. The fact that this is so easy to use will be a big appeal to a lot of data scientists who don't want to write production code or deal with lots of bootstrap configuration. There are also a lot of benefits of abstracting the deployment as you can seamlessly add a lot of features like logging, or even make performance improvements by tweaking a few env vars and everyone will get it by default! Thanks for sharing.

I copy paste them :) http://japaneseemoticons.me/all-japanese-emoticons/

Found pictures of this kind of wall in UVA too! Pretty neat.

https://www.cs.virginia.edu/~evans/pictures/serpentine/

Do you know how these drones communicate with the ATC to state their intentions? Is there a flight plan made ahead and plan that they don't deviate from? I could not find any information online.

A simple use case would be mining asteroids for ice and selling it to NASA for use in the ISS.

It was a technical decision. They announced it before the GitHub acquisition.

https://venturebeat.com/2018/04/06/why-and-how-gitlab-abando... https://about.gitlab.com/2018/04/05/gke-gitlab-integration/

> (at last, the Google privacy team has its own messaging app!)

A nice jab at themselves. Glad they have a sense of humor.

I'm assuming I will see a lot more posts from old high school friends who I don't really interact with anymore. It would be a fun experiment to try though.

I wouldn't be surprised if a lot of the pageviews are bots/crawlers. They don't hover over links.

Here you go: https://twitter.com/RealRealDonaldT

It's called BangBang Con

(College Grad)

Location: Raleigh, North Carolina, USA; willing to relocate to Bay Area, Chicago, Seattle etc.

Remote: No

Willing to relocate: Yes (prefer to relocate)

Technologies (in order): PHP (Zend/Doctrine), JS, Python/Django, C, Java, SQL, Git, Rust, Rails/Ruby.

Résumé/CV: http://kshitijparajuli.com/resume.pdf Github: https://github.com/kparaju

Email: kshitijparajuli@gmail.com

Graduating from North Carolina State University with BSc Computer Science with GPA of approx 3.75 in May 2015. Focused mainly on web technologies on Linux up until now but am open to learning and trying new things. Looking to work doing interesting things with interesting people at an interesting place :)

Adding to OP's question: Does anyone know of any good reads for writing maintainable JS?

Modi also wants to turn Nepal into a Hindu state[1]. The only people who should be deciding if Nepal becomes a Hindu state or a secular state are Nepali citizens.

[1] http://economictimes.indiatimes.com/news/politics-and-nation...

It's good to see someone else in HN from Nepal :) We are a rare bunch.

I've had to compare the two. At the current state, Stash is better than GitLab in almost all ways. Better UI, more features and other small things that make a big difference (e.g. repo sync).

GitLab, on the other hand, has two advantages over Stash. Firstly it's open source (+free). Secondly and most importantly, GitLab is under active development and there is a new release with reasonable amount of content every month.

I haven't installed Stash, but for what it's worth GitLab installation and upgrades have been really straightforward.

WRT XKCD: It's just not the middle panel that is dynamic. The whole comic is different based on various factors (http://www.reddit.com/r/comics/comments/rnpiw/mindboggling_x...).