misframer

What do you mean by "mission of self-service still hasn't yet been proven"?

I mostly use an M1 iPad Pro for personal use. I can get 90% of my personal work done on it, but not everything (e.g. I had to use my laptop for some tax filing work).

GitHub Codespaces works well enough to work on my blog but it’s not a replacement for the full dev environment I have on my laptop.

If you just had to pick one, I would go for the MacBook Air.

Their jobs pages (e.g. [0]) mention "ScyllaDB/Cassandra".

[0] Senior Site Reliability Engineer: https://discord.com/jobs/4004051002

They brought it back[0]. I remember getting discounts for lattes and mochas.

[0] https://stories.starbucks.com/stories/2021/starbucks-brings-...

iPhone and iPad have replaced almost all of my personal computing needs. I still use a MacBook for a DAW to play guitar. I am traveling these days and the MacBook stayed home.

My work laptop is now an M1 MBP. It's working out fine (after a few Docker hiccups).

Yes, both for personal projects and at work. I write APIs in Go (and there's React on the UI side that talks to it). I use VS Code to develop and build as a Docker image.

At work the images are deployed on DC/OS, and for my personal projects I use Docker Compose.

The most difficult part (which isn't really that difficult) would probably be the actual deployment part, and that's not specific to Go.

I use Fastmail with a personal domain name.

Here’s the email I got from Tastyworks:

Apex Clearing, who acts as the custodian of all tastyworks accounts, has informed us that the following symbols (AMC, GME, & KOSS) will be set to closing only order status immediately. You will only be able to submit orders to close out any open positions that you have in these symbols.

New opening orders will not be accepted at this time. We will update our clients should the clearing firm lift the Closing Only status in the near future.

I don't think they use Apex anymore.

https://blog.robinhood.com/news/2018/10/9/introducing-cleari...

Apex is the clearing firm for Tastyworks and Webull too. I got an email from Tastyworks about restrictions (which just got lifted).

I switched from Simple to Ally a few years ago and had 0 problems. I recommend them all the time.

Can you explain more about the encryption process?

Try writing an interpreter! “Make a Lisp“[0] and Norvig’s “(How to Write a (Lisp) Interpreter (in Python))”[1] really helped me understand the basics.

[0] https://github.com/kanaka/mal

[1] https://norvig.com/lispy.html

The frames are here: https://terkelg.github.io/zuckerberg.smile/assets/sprites.jp...

What do you mean by area? Geographic location or technical?

Separately. I haven't updated it to use the plugin. Thanks for Caddy, BTW!

Thanks! Yeah, will look into a CDN or just hosting it from an S3 bucket.

I’m using Hugo and Caddy. It’s running out of file handles.

Author here. Sorry, resizing my droplet now.

Great post! I started writing a Lisp interpreter in Go with the mal guide but switched to Norvig's (How to Write a (Lisp) Interpreter (in Python)) [0] since it was more approachable (IMO) as a Lisp beginner. I'm looking forward to writing a compiler next like the author.

[0] http://norvig.com/lispy.html

A few people I follow have left SF for NYC. I’m curious if anyone on HN has done the same and why.

These are refurbished.

This was done a few years ago. See https://web.archive.org/web/20150325003526/http://blog.found....

What was the concurrency like in those benchmarks?

Firestore is literally built on top of spanner.

Do you have a source for this? Thanks in advance.

> Badger provides better performance than RocksDB, both in terms of reads and writes.

It's not that simple. It's never that simple.

Yeah. The post that is linked[0] within that quote has a "Benchmarks" section, but it looks like they're either 100% reads or 100% writes. Most real workloads aren't like that.

[0] https://blog.dgraph.io/post/badger/#benchmarks

I wrote a blog post on how to implement secondary indexes using an ordered key-value store a couple of years ago: https://misfra.me/2017/01/18/how-to-implement-secondary-inde...

It would work with FoundationDB, RocksDB, etc. I actually learned these techniques when I interned at FoundationDB but have used them the most with other K-V systems.

I think they're built on a common storage system, just like the MySQL compatible version too.

Not sure why I'm getting downvoted. The characteristics sound exactly like Aurora.

- "replicates six copies of your data across three AWS Availability Zones (AZs)" [0]

- "Amazon DocumentDB uses a distributed, fault-tolerant, self-healing storage system that auto-scales up to 64 TB per database cluster." [0]

- "When writing to storage, Amazon DocumentDB only persists a write-ahead logs, and does not need to write full buffer page syncs." [1]

[0] https://aws.amazon.com/documentdb/

[1] https://aws.amazon.com/documentdb/faqs/

Sounds like this runs on the same storage service as Aurora.