chucky_z

For backing up something personal, why don't you just use actual Backblaze?

canonical maas, ns1, aws, nomad, consul, vault, and a handful of other providers

I manage everything soup to nuts with Terraform. If you know something vastly better please let me know, especially considering the changes to 0.12. It's a very well integrated system.

I've started heavily using Nomad recently and it's a real joy. Adding things in is just so easy because it doesn't do much and (mostly) everything is very well defined. I cannot suggest it highly enough.

An example is I setup a log pipeline recently spanning multiple data centers with full mTLS. It wasn't that hard and thanks to Vault all the certs are refreshed at regular intervals all over the place. Pretty great!

it better be a track-only model

AWS SAM nails this so hard.

They straight up have hundreds of pre-generated tests depending on what your functions input is, and you can run _every_ test locally.

$3,689.99

ROW_NUMBER is absolutely the best, especially for marketing related customer data.

Alibris

I have not bought a book from Amazon in years... I go elsewhere for books nowadays. I'm one data point, but I have a close friend who works for an online book marketplace and they're doing extremely well.

The author explicitly states why they did this.

Chrome for Netflix and Spotify only, and Office 2007 because it's better than LibreOffice for their parents.

I can suggest the recent Wolfenstein games.

In my experience this exists for ISPs, but it's not easily available. I've used ISP brokers in the past and they've had this information in some proprietary systems when I've asked for quotes and proposals.

The top speed is only 100kmh or so, so it's probably subject to some special rules

If you can swallow the privacy concerns, Chromebooks/Chrometops seem to be remarkably reliable and 'just work.'

My main experience with them is in Google Hangouts through a 3rd party (Promevo), and the only troubleshooting I've had to do required a total system refresh, which the box itself found it's own OS was corrupted, re-installed from a remote source, and then after a quick 10-min setup was right back to where it was the second it broke.

I would probably not use one personally, but for family computing they seem a right treat.

.... XFS?

I've had a single issue across many EBS drives partitioned with only XFS, in several mdadm configurations. The data-loss occured during a maintenance window, so I'm convinced it was an EBS issue and not XFS.

I've also used it on physical hardware and never experienced dataloss, even losing drives in RAID configurations (I will admit I was lucky enough to never lose 2 drives in my normal RAID10 setup).

I've had several filesystems become corrupted, but the XFS community is extremely helpful, and the tooling that comes with it has never failed me in at least letting me figure out what's actually wrong.

I've been following Pipeline since the beginning and it's so fricking cool. Please, if you can't think of a good use of Pipeline, use it instead of a count(*)! :D

I used TF very early on, for versions 0.3 and 0.4. It was unpleasant at best, but very functional.

I've began using it again with 0.11, and with 0.12 on the horizon it's much easier to use than it ever has been in the past. It used to be very difficult to do one-off tasks with Terraform but I've began managing things piecemeal and the community around importing everything into existing TF things are great.

The statefile borking itself from time to time is still an issue, but no more than any other operational tool of this magnitude.

The biggest downside to Terraform currently (0.11) is that you need to get extremely creative in ugly ways to accomplish some tasks. This can been seen very specifically in the AWS Security Group official TF module, which I could not live without, but would not want to write/maintain.

Actually an interesting solution to this is using something like kafka-connect. Debezium specifically has libraries around pgsql -> pgsql replication using kafka + kafka-connect that work shockingly well. The lag is not much different than traditional replication but you can have a single primary that kafka-connect is pulling into kafka, and a gazillion replicas off that single stream.

That's super bizarre. Are you running MySQL with no ACID on EC2 while leaving RDS at its defaults or something?

You can replicate out of RDS without any problems. Shoot, you can run a master in EC2 and a replica-only in RDS.

I do this presently because I have some custom stuff I do for MySQL which needs it's own EC2 instance because RDS doesn't support it.

Not quite identical, but you mostly just described mastodon.

https://joinmastodon.org/

This is also an older benchmark. I'd be curious to see this used against postgresql 11; there have been massive speed increases in 10 and now 11.

One of the most interesting things is you can shard postgres extremely easily now by using FDWs which can do native pushdown of optimizations.

Also, Citus itself has been improving in that time, and I'm curious to see how that performs.

Is Owl similar to ANTLR? Could you explain the differences between the two languages, and what makes a parser unique if they're similar?

I'm curious because I've quickly run across two of these types of projects now, but admittedly know very little about them.

Have you looked into https://wiki.jenkins.io/display/JENKINS/Groovy+Hook+Script ?

There's a handful of cool scripts that other folks have written :)

Check out this repo for an example: https://github.com/hayderimran7/useful-jenkins-groovy-init-s...

The reasoning why this exists is in the very first paragraph...

> Python’s lack of safety guarantees can be problematic when, as is increasingly the case, it is used for critical applications with high correctness demands. The Python community has reacted to this trend by integrating type annotations and optional static type checking into the language [20]. However, there is currently virtually no tool support for reasoning about Python programs beyond type safety.

1Password is amazing. Hopefully Apple doesn't even touch them, and they continue developing that CLI that's been hinted at and teased a few times.

Unrelated to EFS, but I found Gluster to have good performance for this use-case vs. NFS/CIFS.

We use ~100GB with a lot of in/out for EFS, as a kind of 'nearline S3,' mounted to a hundred ec2 instances or so. It replaced an NFS server doing the same thing, and it ended up being slightly cheaper cause you don't pay for the compute, only the storage (efs vs. ebs + ec2).

Also I haven't had a single issue with performance. It's not particularly busy though (~800 iops?).

I'm glad that pretty much the whole thing is 'use pgbouncer.'

This was my exact situation at a previous position. We needed up to 20k connections to a single pgsql master. Even the most monster postgres server falls over around ~600 connections (up to 1k depending on usage).

Using a pgbouncer-per-webserver we easily got to 20k.

I will say this was with 9.3 though, things may have changed on that front. Nowadays I use pgsql primarily for analytics, so there's only ever 20-30 connections tops, albeit doing quite heavy querying.