Thanks for sharing! I definitely hadn’t seen that plugin. We definitely use helm, even though I hate it lol. I will take a look when I get around to looking at external secrets since I still haven’t had a chance to (you know how it goes… priorities made up by some random PM or whatever)

best way:

$(pwd)/ngnix.conf:<container path>

I find it very difficult to recommend generative ai as a learning tool (specifically for juniors) as it often spits out terrible code (or even straight up not working) which could be mistaken as “good” code. I think the more experienced a dev is, the better it is to use more like a pair programmer.

The problem is it cannot go back and correct/improve already generated output unless prompted to. It is getting better and better, but it is still an overly glorified template generator, for the most part, that often includes import statements from packages that don’t exist, one off functions that could have been inline (cannot go back and correct itself), and numerous garbage variables that are referenced only once and take up heap space for no seemingly no good reason.

Mainly speaking on GPT4, CoPilot is better, both have licensing concerns (of where did it get this code from) if you are creating something real and not for fun.

I prefer Sealed Secrets over sops since it has the namespace scoping element and can also be stored in repo (once encrypted). I also generally prefer having a controller deployed rather than forcing devs to learn kustomize (which we don’t widely use yet) so I guess less of a support burden for me.

I can’t believe I haven’t seen external secrets before. Sealed secrets are cool, but such a pain as you described. Gonna be setting up external secrets next week sounds like. Thanks for the great post

I have been using “gaming” keyboards for coding for ~10 years now. The only thing to be wary of imo, is keebs that have “extra customizable keys” on them and break conformity from a standard layout. Depends on the device, but Logitech will call them “G keys”, for example, and often stick them on the far left of the board, left of tab/caps/L shift. Makes life a lot more difficult if not gaming.

Outside of that, I think calling something a “gaming” keyboard is more of a marketing tactic to up the price. It’s hard to not recommend mechanical, but that sounds out of budget and often hard to do wireless/bluetooth, but personally I think mech is the top priority.

What I have seen a lot of peers do is wait to see whatever keyboard the get in office, then buy the same one for home for consistency, rather than dragging a personal one back and forth. Often companies will offer basic boards like logitech K270, K350, or K650. Not amazing, not terrible, and most likely fit in your described criteria.

Im a bit late to the show, but I personally feel like you are heading down the wrong path. Unless you are trying to completely host locally, but for some reason want your backups in the cloud, and not simply on separate local server, you are mixing your design for seemingly no reason. If you are hosting locally, you should back up to a separate local instance.

If you indeed are cloud based, you SHOULD NOT be hosting a DB separately. Since you specified S3, you are using AWS, and you should rather use RDS managed mySQL and should use the snapshot feature built in. ref

Laughs in object

I am not as familiar with Cloud Native DevOps Newsletter but I do enjoy the podcast

December 8th, 2009 - Motorola Droid successfully rooted … [granting] root access on the phone using a terminal emulator. This is how I learned bash which inevitably pushed me into pursuing proper Computer Science.

wiki ref

I believe in GitHub branch protection rules, you can set required review by a code owner, as well as set an amount of reviews required.

You are also able to structure codeowner files and assign codeowners to certain paths within the repo that they “own”, rather than all or nothing.

You are able to set bypass rules for certain individuals, and as repo admin there is a little checkbox on PRs that will appear by default to allow you to ignore the requirements, although it is generally not recommended, but I won’t harp on the reasons others have already pointed out.

disclaimer: I mainly work on a GHES instance, which may be function slightly different than public GH

December 8th, 2009 - Motorola Droid successfully rooted … [granting] root access on the phone using a terminal emulator. This is how I learned bash which inevitably pushed me into pursuing proper Computer Science.

wiki ref

I prefer a similar workflow.

I am a major advocate of keeping CI as simple as possible, and letting build tools do the job they were built to do. Basic builds and unit/component testing. No need for overcomplicating things for the sake of “doing it all in one place”.

CD is where things get dirty, and it really depends on how/what/where you are deploying.

Generally speaking, if integration testing with external systems is necessary, I like to have contract testing with these systems done during CI, then integration/e2e in an environment that mimics production (bonus points if ephemeral).

Just make sure to test the regex instead of blindly slapping it in assuming it works 🙂

It covers each and every line of the source code, each and every conditional statement in the program and every loop otherwise known as iteration in the program.

I think it is important to note 100% code coverage (“covers each and every line”) does not mean the tests are good tests.

The myth of 100% code coverage

Yes, I write SpringBoot microservices and IntelliJ plugins using Kotlin. Any new code is Kotlin, but there is still a ton of Java, which I don’t consider “legacy”, since it works, and if I can sanely add Kotlin when necessary, I don’t see the need for “full rewrite”.

You may get more traction by asking the Kotlin community

The most simple way of explaining the cloud computing is storing, accessing, and processing data over the internet instead of using a traditional client server architecture.

Just because your compute is “in the cloud” doesn’t mean it isn’t a server, and it definitely can still be client/server architecture

Cloud provider hosted server accessed by client = client/server architecture

Interpreted language != Compiled language

You may get more traction asking in the communities that exist for those tools: IntelliJ and Docker

8GB for two separate IntelliJ projects sounds low. You could try importing both into one instance as separate “modules” so that there is only one IntelliJ instance/window.

Depending on how you are running the VM, the host may be choking it through the host OS and leading to OOM. Especially with a tool like docker.

Edit: I see you commented usage of windows, you may need to look into wslconfig

Thanks for sharing! I will need to look deeper into build kit. Containers aren’t my main artifacts, unfortunately, so I am still building them the ways of old, sounds like.