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another take on Getting into Devops as a Beginner
I really enjoyed m4nz's recent post: Getting into DevOps as a beginner is tricky - My 50 cents to help with it and wanted to do my own version of it, in hopes that it might help beginners as well. I agree with most of their advice and recommend folks check it out if you haven't yet, but I wanted to provide more of a simple list of things to learn and tools to use to compliment their solid advice.
While I went to college and got a degree, it wasn't in computer science. I simply developed an interest in Linux and Free & Open Source Software as a hobby. I set up a home server and home theater PC before smart TV's and Roku were really a thing simply because I thought it was cool and interesting and enjoyed the novelty of it. Fast forward a few years and basically I was just tired of being poor lol. I had heard on the now defunct Linux Action Show podcast about linuxacademy.com and how people had had success with getting Linux jobs despite not having a degree by taking the courses there and acquiring certifications. I took a course, got the basic LPI Linux Essentials Certification, then got lucky by landing literally the first Linux job I applied for at a consulting firm as a junior sysadmin. Without a CS degree, any real experience, and 1 measly certification, I figured I had to level up my skills as quickly as possible and this is where I really started to get into DevOps tools and methodologies. I now have 5 years experience in the IT world, most of it doing DevOps/SRE work.
People have varying opinions on the relevance and worth of certifications. If you already have a CS degree or experience then they're probably not needed unless their structure and challenge would be a good motivation for you to learn more. Without experience or a CS degree, you'll probably need a few to break into the IT world unless you know someone or have something else to prove your skills, like a github profile with lots of open source contributions, or a non-profit you built a website for or something like that. Regardless of their efficacy at judging a candidate's ability to actually do DevOps/sysadmin work, they can absolutely help you get hired in my experience. Right now, these are the certs I would recommend beginners pursue. You don't necessarily need all of them to get a job (I got started with just the first one on this list), and any real world experience you can get will be worth more than any number of certs imo (both in terms of knowledge gained and in increasing your prospects of getting hired), but this is a good starting place to help you plan out what certs you want to pursue. Some hiring managers and DevOps professionals don't care at all about certs, some folks will place way too much emphasis on them ... it all depends on the company and the person interviewing you. In my experience I feel that they absolutely helped me advance my career. If you feel you don't need them, that's cool too ... they're a lot of work so skip them if you can of course lol.
LPI Linux Essentials - basic multiple choice test on Linux basics. Fairly easy especially if you have nix experience, otherwise I'd recommend a taking a course like I did. linuxacademy worked for me, but there are other sites out there that can help. For this one, you can probably get by just searching youtube for the topics covered on the test.
Linux Foundation Certified System Administrator - This one is a hands on test which is great, you do a screen share with a proctor and ssh into their server; then you have a list of objectives to accomplish on the server pretty much however you see fit. Write a big bash script to do it all, do like 100 mv commands manually, write a small program in python lol, whatever you want so long as you accomplish the goals in time.
Amazon Web Services certs - I would go for the all 3 associate level certs if you can: Solutions Architect, SysOps Administrator, Developer. These are quite tedious to study for as they can be more a certification that you know which AWS products to get your client to use than they are a test of your cloud knowledge at times. For better or worse, AWS is the top cloud provider at the moment so showing you have knowledge there opens you up to the most jobs. If you know you want to work with another cloud provider then the Google certs can be swapped out here, for example. I know that with the AWS certs, I get offers all the time for companies that use GCP even though I have no real experience there. Folks with the google certs: is the reverse true for you? (genuinely asking, it would be useful for beginners to know).
Certified Kubernetes Administrator - I don't actually have this cert since at this point in my career I have real Kubernetes experience on my resume so it's kind of not needed, but if you wanted learn Kubernetes and prove it to prospective employers it can help.
Tools and Experimentation
While certs can help you get hired, they won't make you a good DevOps Engineer or Site Reliability Engineer. The only way to get good, just like with anything else, is to practice. There are a lot of sub-areas in the DevOps world to specialize in ... though in my experience, especially at smaller companies, you'll be asked to do a little (or a lot) of all of them. Though definitely not exhaustive, here's a list of tools you'll want to gain experience with both as points on a resume and as trusty tools in your tool belt you can call on to solve problems. While there is plenty of "resume driven development" in the DevOps world, these tools are solving real problems that people encounter and struggle with all the time, i.e., you're not just learning them because they are cool and flashy, but because not knowing and using them is a giant pain!
Linux! - Unless you want to only work with Windows for some reason, Linux is the most important thing you can learn to become a good DevOps professional in my view. Install it on your personal laptop, try a bunch of different distributions, develop an opinion on systemd vs. other init systems ;), get a few cloud servers on DigitalOcean or AWS to mess around with, set up a home server, try different desktop environments and window managers, master a cli text editor, break your install and try to fix it, customize your desktop until it's unrecognizable lol. Just get as much experience with Linux as possible!
git - Aside from general Linux knowledge, git is one of the most important tool for DevOps/SREs to know in my view. A good DevOps team will usually practice "git ops," i.e., making changes to your CI/CD pipeline, infrastructure, or server provisioning will involve making a pull request against the appropriate git repo.
terraform - terraform is the de facto "infrastructure as code" tool in the DevOps world. Personally, I love it despite it's pain points. It's a great place to start once you have a good Linux and cloud knowledge foundation as it will allow you to easily and quickly bring up infrastructure to practice with the other tools on this list.
packer - While not hugely popular or widely used, it's such a simple and useful tool that I recommend you check it out. Packer lets you build "immutable server images" with all of the tools and configuration you need baked in, so that your servers come online ready to start working immediately without any further provisioning needed. Combined with terraform, you can bring up Kubernetes clusters with a single command, or any other fancy DevOps tools you want to play with.
ansible - With the advent of Kubernetes and container orchestration, "configuration management" has become somewhat less relevant ... or at least less of a flashy and popular topic. It is still something you should be familiar with and it absolutely is in wide use at many companies. Personally, I love the combination of ansible + packer + terraform and find it very useful. Chef and Puppet are nice too, but Ansible is the most popular last I checked so unless you have a preference (or already know Ruby) then I'd go with that.
jenkins - despite it's many, many flaws and pain points lol, Jenkins is still incredibly useful and widely used as a CI/CD solution and it's fairly easy to get started with. EDIT: Upon further consideration, Jenkins may not be the best choice for beginners to learn. At this point, you’re probably better off with something like GitLab: it’s a more powerful and useful tool, you’ll learn YAML for its config, and it’s less of a pain to use. If you know Jenkins that’s great and it will help you get a job probably, but then you might implement Jenkins since it’s what you know ... but if you have the chance, choose another tool.
postgres - Knowledge of SQL databases is very useful, both from a DBA standpoint and the operations side of things. You might be helping developers develop a new service and helping with setting up schema (or doing so yourself for an internal tool), or you might be spinning up an instance for devs to access, or even pinpointing that a SQL query is the bottleneck in an app's performance. I put Postgres here because that's what I personally use and have seen a lot in the industry, but experience with any SQL database will be useful.
nginx - nginx is commonly used an http server for simple services or as an ingress option for kubernetes. Learn the basic config options, how to do TLS, etc.
docker - Ah, the buzzword of yesteryear. Docker and containerization is still incredibly dominant as a paradigm in the DevOps world right now and it is paramount that you learn it and master it. Be comfortable writing Dockerfiles, troubleshooting docker networking, the fundamentals of how linux containers work ... and definitely get familiar with Alpine Linux as it will most likely be the base image for most of your company's docker images.
kubernetes - At many companies, DevOps EngineeSite Reliability Engineer effectively translates to "Kubernetes Babysitter," especially if you're new on the job. Container orchestration, while no longer truly "cutting edge" is still fairly new and there is high demand for people with knowledge and experience with it. Work through Kubernetes The Hard Way to bring up a cluster manually. Learn and know the various "primitives" like pods and replicasets. Learn about ingress and how to expose services.
There are many, many other DevOps tools I left out that are worthwhile (I didn't even touch the tools in the kubernetes space like helm and spinnaker). Definitely don't stop at this list! A good DevOps engineer is always looking to add useful tools to their tool belt. This industry changes so quickly, it's hard to keep up. That's why it's important to also learn the "why" of each of these tools, so that you can determine which tool would best solve a particular problem. Nearly everything on this list could be swapped for another tool to accomplish the same goals. The ones I listed are simply the most common/popular and so are a good place to start for beginners.
Any language you learn will be useful and make you a better sysadmin/DevOps Eng/SRE, but these are the 3 I would recommend that beginners target first.
Bash - It's right there in your terminal and for better or worse, a scarily large amount of the world's IT infrastructure depends on ill-conceived and poorly commented bash scripts. It's bash scripts all the way down. I joke, but bash is an incredibly powerful tool and a great place to start learning programming basics like control flow and variables.
Python - It has a beautiful syntax, it's easy to learn, and the python shell makes it quick to learn the basics. Many companies have large repos of python scripts used by operations for automating all sorts of things. Also, many older DevOps tools (like ansible) are written in python.
Go - Go makes for a great first "systems language" in that it's quite powerful and gives you access to some low level functionality, but the syntax is simple, explicit and easy to understand. It's also fast, compiles to static binaries, has a strong type system and it's easier to learn than C or C++ or Rust. Also, most modern DevOps tools are written in Go. If the documentation isn't answering your question and the logs aren't clear enough, nothing beats being able to go to the source code of a tool for troubleshooting.
Expanding your knowledge
As m4nz correctly pointed out in their post, while knowledge of and experience with popular DevOps tools is important; nothing beats in-depth knowledge of the underlying systems. The more you can learn about Linux, operating system design, distributed systems, git concepts, language design, networking (it's always DNS ;) the better. Yes, all the tools listed above are extremely useful and will help you do your job, but it helps to know why we use those tools in the first place. What problems are they solving? The solutions to many production problems have already been automated away for the most part: kubernetes will restart a failed service automatically, automated testing catches many common bugs, etc. ... but that means that sometimes the solution to the issue you're troubleshooting will be quite esoteric. Occam's razor still applies, and it's usually the simplest explanation that works; but sometimes the problem really is at the kernel level. The biggest innovations in the IT world are generally ones of abstractions: config management abstracts away tedious server provisioning, cloud providers abstract away the data center, containers abstract away the OS level, container orchestration abstracts away the node and cluster level, etc. Understanding what it happening beneath each layer of abstraction is crucial. It gives you a "big picture" of how everything fits together and why things are the way they are; and it allows you to place new tools and information into the big picture so you'll know why they'd be useful or whether or not they'd work for your company and team before you've even looked in-depth at them. Anyway, I hope that helps. I'll be happy to answer any beginnegetting started questions that folks have! I don't care to argue about this or that point in my post, but if you have a better suggestion or additional advice then please just add it here in the comments or in your own post! A good DevOps Eng/SRE freely shares their knowledge so that we can all improve.
Here's vids on themes of the alt right (racism & xenophobia, capitalism, transphobia, queerphobia, misogyny, statism, rhetoric) & the stupidity of some of the creators in or making a pipeline to it in bold (before that, watch Contrapoints' video on the fetishisation of "free speech" & how it's misinterpreted; Does the Left Hate Free Speech. If anyone can mirror these vids, given they'll likely be mass flagged if used to any significant extent, that'd be great. For any that require age verification, nsfwyoutube should usually work if you haven't got a google account or your account/browser isn't allowing viewing.
Black People Can't Be Racist?? by T1J: https://www.youtube.com/watch?v=9OHGoyfbkCg (near the end he says that semantic arguments are annoying & I understand why in this context, but don't take this as a blanket rule, sometimes the meaning of the words you use has immense importance, like the difference between sex & gender & sexuality, which can be & are conflated by people who benefit from making it difficult to talk about the subject in a coherent way, like religious conservatives)
Debunking the Alt-Right: Pool Parties by Three Arrows: https://www.youtube.com/watch?v=QAdAodnXsMs (for those who can't view this one, you can still get to it if you download it through a youtube downloader; it would be great for someone to mirror this)
What's Wrong with Capitalism (Part 1) by Contrapoints: https://www.youtube.com/watch?v=gJW4-cOZt8A (note: at the end she mocks leftism a bit, it's not an accurate portrayal of anarchist or socialist positions, it's supposed to be a joke)
Capitalism & Mental Health: How the Market Makes Us Sick by Libertarian Socialist Rants: https://www.youtube.com/watch?v=AVQ4LIp39Xo (also Capitalism vs Housing; watch Education For Obedience, under the statism section, 1st as this vid has crossover with it)
How Capitalism Ruined Your Relationships by Sheep In The Box (watch the LibSoc Rants video first, it's essentially the same premise but applied to relationships & more personal): https://www.youtube.com/watch?v=p-3bCf0httw
Transgender Woman Caught Creeping in Target by Rebecca Watson: https://www.youtube.com/watch?v=SFGVD2zhQkE (not a transphobic video despite the title, but essentially outlining that transgender-positive policies aren't responsible & that emphasis should be placed on privacy rather than segregation)
A Note On Sex (not the NSFW kind) As A Spectrum For The Chronic Transphobe 1: Words are invented for their utility for describing things. 2: "Sex" is a word invented to have utility in describing all sexual variation. 3: Sex is typically defined as a binary that is set from birth, by social conservatives. I will call this the "stuck binary" model from here, not a technical term, just a clear phrase I made up just now. 4: Sexual variation is a binomial spectrum (https://twitter.com/ScienceVet2/status/1035246030500061184), partially made clear in intersex folks; or even that the same person can have 2 sets of chromosomes in the same body (XX & XY in different places, for example) or be infertile if you're basing your classification on gametes. 5: Transgender folks can (but don't always) change thier primary & secondary sexual characteristics with surgeries & medicine 6: Science cannot make claims that we ought to make a category but those participating in the creation of science can observe that something(s) exist(s). Conclusion: Given premise 2, the utility of the word "sex" is diminished when used (as in 3) synonymously with the "stuck binary" model as it does not (4 & 5) accurately describe sexual varition as it is supposed to. Given 6 it is up to us whether we use a different word, redefine the word, or give up on having a word, as science cannot tell us from what does exist, how we ought to make categories from that data. As I do not want to make the word "sex" entirely useless since it can still serve good utility describing sexual variation if redefined, sex ought be redefined as a spectrum with a binomial distribution in line with what is actually true about sexual variation, & be applied in such a way that the assignment is not static, in line with accurately representing the bodies with which we seek to apply the word. Where you may disagree: If you don't think the word "sex" ought to describe all sexual variation including modification of those sexual characteristics, that's an option (though it can & will & does have awful consequences for those who don't fit neatly into 2 option schema as detailed in the linked thread & in many places elsewhere), but you can't just defer to science & say it decides for you what you ought to do. People can make ought claims about categories & words, science (as far as it is the systematised description of reality) cannot. Only we can say "this is that & this is this other thing & that is that other thing & you over there don't even get to say you have a sex", categories weren't around before there were people to make them up. BUT This logic is too often circular (pointed out to me by this vid by 2 NB Polish socialists, "Biological sex as a spectrum" by TransGrysy: https://www.youtube.com/watch?v=igjhN5puQIk, it's English subbed & I urge you to subscribe to them & donate to them if you can afford it since the leftist presence is much lesser in Poland) where transgender folks & intersex folks are disregared as abberations or failures of nature or similar as justification for not changing the model of sex from the "stuck binary" model to something actually representative of sexual variation, but the only reason this is said is because they differ from the "stuck binary" model. It justifies the model on the basis that the model is currently used, which is frankly ridiculous circular logic.
Pregnancy discrimination is NOT justified by BadMouseProductions: https://www.youtube.com/watch?v=9fWCEt5A5k8 (also applies to others who aren't women with the actual or percieved ability to bear children but they are the group most commonly affected by it so I put it under misogyny)
While I have you here, The ManKind Intiative (https://www.mankind.org.uk/) does great work helping guys who are victims of domestic violence, donate to them or your local equivalent of them if you can.
What entity manages .com, .net, .gov, .us, .cn domains?
For the longest time I still have not a clue how this works. I am not sure if this is the right subreddit or something like networking This is all I understand so far about the web (or internet?), computers, and electronics in general (its super long just skip to bold part if you need to) INTERNET:
Computers linked to network with standard protocols, such as HTTP/ HTTPS over the world wide consortium standards, forming conglomerate of computers linked together. ISP's take information from said networks and transfer data to other ISP's via nodes, through hardwire connections and transatlantic cable.
IP addresses identify your local network through the ISP. Subnet mask, gateways, etc and traffic can be redirected via VPN. Also, on local side, you have the PC=>Router (optional) => Modem => ISP, where the router helps divide the modem so multiple PC's can connect to one line. Also WiFi operates by a specific hardware device (wifi dongle, router) and transfers information via electromagnetic waves. Same with cellphones (Via cellphone towers). Also satellites help direct cellular traffic through direct line of sight connections from user=>satellite=>user.
URL's utilize world wide consortium stsandards, using www. as the default subdomain, the web address, and the end? domain (like .com)
Domains are rented out through 3rd parties such as godaddy, and are never physically owned. Subdomains are like m.reddit.com (for mobile use) or MyWebsite.blogspot.com
Search engines like google uses properitary algorithms /datastacks/ web crawlers to build a huge database of all existing URL's and rates them through its servers (SEO)
Servers are just high powered PC's generally running Linux and processes incoming data / sends out packets of data, generally in fancy server rooms
DDoS is denial of service through botnet attacks via malware infections of computers, utilizing other people's computer resources (there's more than one way of doing this). Also, ports get overridden with lots of useless requests, denying service to legit people who want to use said site hosted on said server
Throttling occurs due to ISP's limiting data pipeline through its end, not sure what goes on here though
Deep web (or dark web?) is essentially hosting a bunch of private URLs, not visible publicly and accessed through specific private search engines.
Torrents are accessed via peer 2 peer (Seeding and leeching) and managed client-side with utorrent, rutorrent, etc which manages traffic for the requests for .torrent downloads, and public torrent links are through sites like pirate bay, kickass torrents, etc
Programming languages (Fortran, C++, Java) were generally formed originally from assembly code and binary in the form of different modules. People had different opinions of how data and protocols were made, so hence different languages
Virtual machines, its a high powered PC generally that divides its resources to host several virtual PC's. Lots of variations of how datastacks are managed
Personal computers work via motherboard, ram sticks, GPU (like nvidia GTX Titan or intel graphics 4000), Cores / hyperthreading (like corei7 from intel), monitors, etc. Say you run a PC without internet and run a game like witcher 3. You run an executable file, which is written by C++. GPU renders data supplied by executable, (e.g. render this room given this data under this game engine), ram (random access memory) is used as all the unprocessed data needs to sit somewhere?, various caches (L3) for processing common data quickly, core (i7) for processing data as a whole, motherboard and OS mediates all data being transferred.
Github is used for subversion control, and its now cloud based too (although it was originally local / lan only). Github is done via pulls , requests, call, etc. to monitor versions. You can technically emulate this on paper using sticky notes, but its not efficient
Hardware electronic wise, voltage and current is analgous to a water pipeline, where VOLUME WATER FLOW = CIRCUMFERENCE * VELOCITY WATER. In this case, POWER = VOLTAGE * CURRENT. Kerchoff's law, parallel series circuits, PCIBs, quantum theory, transistors (3 prongs), OR NAND NOT gates, arrays, resistors, potentiometers, timers, arduino, bread boards, soldering, relays, switches, that kind of thing (I'm not an EE). Anyways, hardware generally requires a specific amount of voltage and current for things to run on the computer
Operating Systems are linux, windows, macs, etc, and runs through a succession of modules created by assembly code and programming based languages such as C++.
DBMS utilizes crud (create read update delete). MySQL works. Can be emulated on a piece of paper, technically
XML (eXtensible markup language) just is used to communicate between different languages
API (application programming interface) is basically a user manual of all the functions publicly available to pull from a program, locally or on a server. E.G. imgur provides a bunch of API's, I can use its resources because I know said API, and make a program out of it. UPS has a bunch of available API, so I can pull that shit and make a ecommerce shipping module or something.
RAID (RAID 1-5) is just like how data is split into different hard drives. E.G. I have a file. File is split 3 ways into 3 different raid drives and pulled all at once when I request for it, its done this way because file transfers are faster when split into multiple data pipelines.)
Ads make the web profitable. Lots of big name companies make lots of $ selling services and goods at high margins, goes back and dumps money in marketing. Facebook CPC, youtube Ads, youtube videos with ads built into the video (techquickie), social media (instagram, kik, w/e), free game riddled with sidebar ads, banner ads, adblock letting forbe's ads through. Or 4% amazon commission based on referrals. Or Hulu plus style ads, pay to get rid of ads / pay for full service.
web services and goods. microsoft office, reddit gold, renting a server, anything on amazon, that kind of thing. Money.
bitcoin is cryptography based, and can be mined (but not profitable due to energy and hardware limitations for the average person). Bitcoin is generated through computers working out some sort of very encrpyted password node. Bitcoins stored on a server side application (Accessed via website), or through just a web URL, or a client side application (on your phone, desktop program). Bitcoin bought through local transactions, link credentials and bank account, also not easily traceable? (debatable here)
Blackhat Hacking (what people think of generally, not DIY hardware hacks, writing a program, or modifying an existing code) is done on unsecured websites. Usually said website is running some backend application like wordpress, shopify, drupal, modules commerce. Changes are made in the core code over time, and those changes sometimes lead to vulnerabilities that people aren't aware. Hackers send requests (MySQL injection is one of these?) to find more about how the server side application works, and looks for some way to override and obtain admin credentials by having server side reveal this information. White hat is the opposite. Red hat is for linux
Virus, worms, trojans. Usually runs on an attached .exe file or application, but has been known to somehow work with images too. Also worked with emails (worms) in the past. This is mostly magic to me too, I just know how to prevent it. PUP is just potentially unwanted programs (aka bloatware) that comes preinstalled from HP / ASUS/ ACER, etc, or comes along for the ride when you download a program off Cnet.
Data selling. Especially mobile apps (I mean you have to give them permission on everything), they take data, sell to data brokers, which businesses buy to make marketing decisions. Same with lots of things that don't seem to generate money, e.g. chrome plugins, you are the money generator for them via data. Insert google overlords and big 5 internet companies giving data to government via PRISM/snowden (didn't something like this go into effect in 2015?) . Also insert malicious data theft and brokers (social engineering, telemarketers trying to get your credit card, entering information on non HTTPS secured sites).
VoIP is just a specific protocol (like https) for how phone calls transferred over web, and maintain quality of said audio
Image compression is done via bit map rasterization. DNG files or propietary raw formats are utilized in native applications like adobe photoshop. .GIFS are simply image slideshows, actually all videos are image slideshows. Vectorization is mostly talked about when using illustrator or cad based programs (Solidworks, CATIA, AutoCAD)
Programs can be bypassed (e.g. Sony Vegas Pro) by core modification of its files (you'd need to breach password credentials though?) and be made into a "crack file" . A keygen treats the program normally, but just bypasses security checks externally (e.g. preventing company server from doing checks by blocking certain URLs, and a keygen from Xforce that is made by finding security criteria for successful serial# installs)
Rooting your phone is like getting full super user access on linux, but also comes at a price leaving you vulnerable to security breaches
Domain name service managers like namecheap just helps you manage how you rent your domain.
FTP is file transfer protocol to transfer files from one computer to another. SFTP is just secured FTP, whatever that means. SSH is shell access, e.g. almost like your sitting on that computer over on the other side of the world as opposed to just accessing files only.
Email servers are done by IMAP, POP3, email is transferred purely text based (attached files go through a different channel) to be sent from one email to another via email. POP3 is stored more localish side, IMAP is more server based (its slower, but easily accessible anywhere)
Windows API, windows registry, Linux commands are still magic to me. Sudo super user something.
Okay, but who manages the .info, .com, .net, .cn, .rs, and .gov top level domains? There's obviously some domains that are specific to countries, and are most likely managed by that countries' government entity. E.G (.us for usa? .ws for russia, .cn for china) but aren't nearly as popular as the .net and .com domains. .Org and .gov are US? government regulated top level domains to my knowledge, where .org is mostly nonprofit. U.S.A uses .gov domains for its government organizations So I understand that some countries government manages that domain. But what about public top level domains, like .com, .info, .net, .ca? Who manages the database for those? Who gives authority to godaddy for those domains for rent? Who mediates copyright conflicts for those domains? (E.G. say my name is Mike Cro Soft, and I wanted to rent a domain called mikecrosoft, but get DMCA'd / copyrighted by microsoft.com) Like, what are the big organizations mediating internet protocols and legislation on a global scale? Who or what has access to the biggest picture of the web, and its workings and backend? sorry for the long wall of text, I've been missing some vital information on how the web? (or is it internet?) works disclaimer: I don't take CS classes and did not major in computer science. So I might be really off in what i understand about the internet as a whole. Most of this is just what I learned from browsing reddit and youtube Apologies in advance if i butchered a bunch of terms and how things work. I just wrote things as they randomly came to me
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