Cloud computing architecture Puns

I previously posted ARK invests 2021 research pdf, which you can find here (post, pdf). While I didn't immediately provide an analysis or my thoughts on it, I have since taken the time to do so. A central part of ARK's investments is AI and related hardware. These stocks are dispersed throughout all of their funds as ARK believes this will fuel innovation across sectors. I agree. When we are thinking about things like space travel, three dimensional printing, EV and autonomous vehicles, VR gaming, drone deliveries and eVTOL, and simply cloud based computing - AI plays a roll in all of it.

I struggled to find a single likely beneficiary for AI software because AI is uniquely adapted to the task at hand, and has yet to be generalized. I write a lot of machine learning code, and I know of no single algorithm that performs best across different datasets. Some regularization methods or methods of critiquing networks can be useful across the spectrum, but none of these are patented, which allows anyone and any company to use the same principles as they see fit. The more I have looked into this, the more I realize the future of AI from an investing standpoint is not with third parties like SNOW, or PLTR, or AI, or SPLK; but rather is in the platforms like AMZN AWS or MFST Azure where the computation is actually done. This provides huge upside for AMZN and MSFT in that they will likely have an oligopoly on computing into the future.

While AI software companies will provide initial benefits to helping various industries utilize AI, as more and more AI engineers look for jobs, I wouldn't be surprised to see more companies doing their own in house work to better suit their needs. This could result in a boom and bust cycle for SNOW, PLTR, AI, SPLK and many more. That is not to say these aren't great companies, but in terms of making investments that will ensure growth regardless of which company or how companies implement AI and high performance computing, I think the providers themselves will provide the most consistent returns.

ARK's assessment agrees with this analysis:

https://preview.redd.it/4yqubirjsbe61.png?width=1041&format=png&auto=webp&s=798aa

Service-Oriented Architecture (SOA) is an architectural approach in which application is develop using the services that are available on the internet.

SOA Vs Web services :-SOA is an architectural concept which focuses on having different services communicating with each other to carry out a bigger job. Thus, a web service is a basic building block in a SOA. When multiple services are combined, we have an application that falls under SOA.

service oriented architecture

Hi All,

Just wondering if anyone who has gone through this CCA masters program could give some insight into the program. Was it worth it/takeaways.

I'm considering this degree versus Info Systems (management). In my head it may be worth getting the cloud masters; even if it's no real hands-on, the knowledge is still valuable I would assume, also since everyone has info systems masters I feel like it'd stand out somewhat.

Thanks!

Hi all,

I recently applied to the Enterprise Architecture graduate certificate program at Penn State. I honestly didn't know too much about EA as a discipline, but after doing some reading, I thought learning more would be beneficial to my career progression. I'm hoping that those more versed in the field would be able to advise me whether this is a worthwhile pursuit, or if I have a flawed understanding.

I currently work as a consultant in a consulting firm, focused in the area of cloud computing. My previous roles have been engineering focused(change management, systems engineering, devops, etc.), and I decided to go the consulting route to broaden my skill set by working on various types of projects at different companies. My next immediate goal in my career is to become a solutions architect, and to move up the more technical ladder(solutions principal, infra director, etc).

Although I am doing well, there is always room for improvement. As I gain experience, I feel that I lack some of the "bigger picture" thought processes that my more senior peers have, like the ability to question the "why" as well as the "how" when it comes to solution design and implementation. In addition, I'd like to develop more business-related skills to help me speak on and articulate the value of different technologies and solutions to the business, and how to implement the in a strategic way.

Obviously a certificate program will only provide a foundation, so my expectations are not to become an expert though that. I have also been reading about the TOGAF certification, and I think I will pursue that this year as well.

Do you fully understand what Cloud Architecture is? Check out this article that I wrote for the Udemy blog and learn about the 4 key pillars of cloud computing architecture and why each is a necessary part of cloud adoption.

1. Cloud infrastructure – The underlying compute, storage, and network systems.

2. Cloud delivery model – The front-end (client-side) and back-end (provider-side) of the cloud platform.

3. Cloud service model – The type of service offered such as IaaS, PaaS, or SaaS

4. Cloud deployment model – This relates to the access and governance of the cloud platform.

https://blog.udemy.com/what-is-cloud-architecture-understanding-the-fundamentals

Background:

I have a B.S. in Communication Studies.

Now, I'm planning to attend UMUC for a B.S. in Networking and Cyber Security all my previous credits transferred) and I noticed they have a Master's program for Cloud Computing Architecture. What are your thoughts on it?

Besides cleaning my laptop and replacing a battery/memory card, I have no formal education in IT.

Edit: I added links in case any one wants to judge the usefulness.

So it seems to me the more we move.forward the more we do things like in the past , today's trends to move all processing and storage to the cloud or taking it a step further streaming cloud computing results (aka Google Stadia) is no different conceptually to old school dumb terminals connected to mainframes...

I am doing a Masters in Data Science, where we've been given free reign over the electives. I chose cloud computing since its an important aspect for big data. Is it necessary to understand how it works, etc?

Founder Andy Li – led Alibaba’s Cloud Computing Data Center Architecture Team in pioneering direct current power system application to mega data centers in Asia. Since 2014, he has been leading the company POMCube in developing intelligent networked battery energy storage systems.

Advisors

Howard Choy – led Los Angeles County’s Office of Sustainability in developing both energy and environmental programs for the Los Angeles region. The Office of Sustainability manages the county’s $200m annual energy budget for energy efficiency programs, internal operations, and power generation facilities

Enso Li – chief architect for Tencent Data Center with heavy experience in 240v high-voltage direct current, data center practices, modular data centers, lithium batteries, and rack servers.

Michael Yuan – software development expert with multiple published books as well as code commits to high-profile open-source projects like Firefox, Fedora, and JBoss, to name a few.

Partners include Krypital Group – a blockchain marketing services firm that worked on projects like Arcblock and CyberMiles, both of which did pretty well.

I have been trying to work out this idea for a while. I was inspired by the idea of Bitcoin a few years ago when I heard about it and started thinking about applications. Most of the ideas stemming from waste I see in bitcoins network/computation.

Right now (not sure on the stats myself, but it seems generally accepted by the community) the bitcoin network is many times faster than some of our best super computers. It also is only useful to do on specific hardware. The ends of this computation is a large random hash that is useful only for one thing. I always wanted to apply this computing power to useful ideas, such as with Fold@Home and the other one that searches for objects in observatory data. But I could never think of a system that would work well.

So I'll get into it.

The idea started from watching a video for my cloud computing class. It is from Netflix explaining how they migrated from their old implementation to their implementation. They went from a single server in one location running a single Oracle instance to using Amazon AWS which can (theoretically) run thousands of servers, from many geographical points around the world. They also went from using one main data storage to using (again theoretically) thousands of of storage locations.

This made me connect the two ideas, of bitcoin and cloud computing. Netflix paid Amazon to using their hardware which ranges from HDD, SDD, and probably many various CPU's and other peripherals which Amazon owns. In Bitcoin the network users pay the miners to user their computers in much the same way, but with only one purpose. Imagine a system that allows the payment for the usage of any free service need for computation, storage, computation itself, networking, etc. under utilized idle hardware could be working as a "cloud" together serving requests for data or computation while they sit idle or unused. The system could service any type of computation need with the right interface.

Two types of users the people who provide the resources (lets just go with miners again) and the people who consume the resources (anything anyone, from Netflix to colleges businesses and Joe schmo). There would be some metric to judge payment to the miners based on the resources they provide. Consumers would have to input some sort of secret keys (such as a Bitcoin private address) into the system to use its vast, seemingly infinite, resources. Which would then be "paid" back to the miners. Miners would make real would $ b

Hi all!

I currently work at a fantastic company on their cloud enablement team, but there’s only one other woman. I was wondering if anybody would be interested in taking classes/learning online from another woman in the field (me). I want to encourage more women to join this field, especially those who are just starting out in tech. I wish I knew about cloud computing aspects way before, but I want to help grow the community!! I will be focusing on Azure specifically if anyone is interested. You don’t need to have any technical base to start, I’ll slowly increase the intensity over time.

FYI everything would be free!

Update: I was not expecting this much of a response! I will start working on the class material right now, and I’ll make another post on about the schedule. I would love some input on everyone’s schedule so I can make it as inclusive as possible.

My goal by the end of my first run is to make sure everyone can pass the AZ-900.

Do you fully understand what Cloud Architecture is? Check out this article that I wrote for the Udemy blog and learn about the 4 key pillars of cloud computing architecture and why each is a necessary part of cloud adoption.

1. Cloud infrastructure – The underlying compute, storage, and network systems.

2. Cloud delivery model – The front-end (client-side) and back-end (provider-side) of the cloud platform.

3. Cloud service model – The type of service offered such as IaaS, PaaS, or SaaS

4. Cloud deployment model – This relates to the access and governance of the cloud platform.

https://blog.udemy.com/what-is-cloud-architecture-understanding-the-fundamentals