RandomDevOpsDude

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With this growth in cloud computing, three key players—AWS, Azure, and GCP—have emerged, each with its own cloud terminology to describe the features, functionality, and tools of cloud infrastructure.

And that terminology becomes even more complicated when you’re dealing with more than one cloud provider. For example, AWS terminology refers to a data warehouse as “Redshift,” GCP uses the term “BigQuery,” and Azure terminology calls it “SQL data warehouse.”

[–] RandomDevOpsDude@programming.dev 1 points 9 months ago (1 children)

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)

[–] RandomDevOpsDude@programming.dev 1 points 9 months ago (1 children)

best way:

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

[–] RandomDevOpsDude@programming.dev 7 points 9 months ago* (last edited 9 months ago)

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.

[–] RandomDevOpsDude@programming.dev 1 points 9 months ago (3 children)

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.

[–] RandomDevOpsDude@programming.dev 2 points 9 months ago (5 children)

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

[–] RandomDevOpsDude@programming.dev 7 points 10 months ago (2 children)

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.

[–] RandomDevOpsDude@programming.dev 3 points 10 months ago (1 children)

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

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

[–] RandomDevOpsDude@programming.dev 2 points 1 year ago (1 children)

Interesting perspective I hadn't considered before, thanks for sharing. Also, not sure where the Java 7 thing comes from, but I run Java 17 with gradle/kotlin non-android, works very well in IntelliJ, outside of consuming a million gigs of ram lol

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

[–] RandomDevOpsDude@programming.dev 1 points 1 year ago* (last edited 1 year ago) (3 children)

I think JetBrains has fully bought into Gradle. I think Maven support has been less and less over time, which shouldn't be a surprise. Gradle supports native Kotlin build scripts (i.e. build.gradle.kts), as well as putting a lot of work into ensuring their tools fit well within the Gradle ecosystem (exhibit A: https://github.com/JetBrains/intellij-platform-plugin-template). I think it only natural for the creator/owner/maintainer of Kotlin to go full in on the build system that supports the language!

controversial take: who still uses maven? who would prefer xml files over build scripts? (ok... fine, big timers like RedHat definitely do, or at least, have never taken/don't want to take the time to upgrade lol)

 

Links to certain topics in video description

This year, JetBrains partnered with Google Cloud and DORA to put together the 2022 State of DevOps report. We are hosting a livestream to present the key takeaways and discuss how to achieve successful software delivery and operational performance.

In this livestream, we will:

Introduce the report, along with some highlights from the newly released Accelerate State of DevOps Report from Google Cloud. Discuss the operational performance practices currently employed by JetBrains.

 

A cloud-native network function or CNF is defined as a software service that fulfills network functionalities while adhering to cloud-native design principles without requiring any hardware or appliance to house it. This article explains the architecture and working of a cloud-native network function. It also provides examples of commonly-used CNFs.

 

The domain name system (DNS) is a naming database in which internet domain names are located and translated into Internet Protocol (IP) addresses. The domain name system maps the name people use to locate a website to the IP address that a computer uses to locate that website.

 

A content delivery network (CDN) is a geographically distributed group of servers that caches content close to end users. A CDN allows for the quick transfer of assets needed for loading Internet content, including HTML pages, JavaScript files, stylesheets, images, and videos...

 
 

Rolling Deployment

A rolling deployment strategy slowly replaces previous versions of an application with new versions by entirely switching out the environment in which the application is running. For example, containers running new versions of an application may take the place of containers running previous versions of an application....

Canary Deployment

To avoid risk, a canary deployment uses a phased approach in which traffic is shifted in increments. With the aid of a router or load balancer, new application code is released to a small group of users so it can be tested. Metrics measure the success of the new iteration....

Blue-Green Deployment

Blue-Green deployments eliminate downtime by running 2 identical production environments, one called Blue and the other called Green. Only one of the environments is live at any one time and handles all production traffic....

A/B Deployment

An A/B deployment strategy allows your company to test 2 versions of an application on users. The “A” version would be the old version, while the “B” version would contain a new or revised feature. Each version would be released to a subset of users for testing and feedback....

 

I don't know much about Bret's courses, but I do enjoy his podcast.

Topics cover anything DevOps, cloud management, sysadmin, Docker and container tools like Kubernetes and Swarm, and the full software lifecycle supply chain.

 

Although it infantilizes k8s quite a bit, this video REALLY helped me when I started my cloud native journey

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CI/CD explained - GitLab (about.gitlab.com)
submitted 1 year ago* (last edited 1 year ago) by RandomDevOpsDude@programming.dev to c/devops@programming.dev
 
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