When we talk about prototyping testing in the Cloud, it’s really easy to try things and fail fast so you don’t have to set up an elaborate environment and you don’t have to spend a ton of money. If you have an idea, you could you could test it out and have results almost immediately. People should be doing this because it’s easy to learn, prototype and understand how the services work together. Cloud services are like Legos and magic happens when you learn how to put them together to make something useful. The only way you’re going to do that is to try it out and have an idea from conception.
In the Cloud, you’re only paying for things that you’re using or consuming, so if you wanted to try something out it’s only going to take a few minutes or a couple hours. You’re probably paying pennies to a few bucks to test something out that is really hard to do in the traditional data center.
Ability to Iterate
You also have the ability to iterate, so if it didn’t work the first time, fix what’s wrong with it and then try it again until you get the results you desire or you decide to throw it out and try something entirely different.
Reduced Tech Debt
Cleaning up what you’ve used in the Cloud is important because you could accidentally incur tech debt, additional costs and add complexity for people coming behind you.
Mistakes are Learning Opportunities
Mistakes are learning opportunities; as good as we are, we don’t know everything about Cloud services so sometimes it you have to try it out. “I have an idea I’m going to try it out I’m going to learn as I go.” This type of innovation is really hard to do in the data center, so in the Cloud it does allow you to be nimble and quickly spin up resources and services and helps accelerate the learning and how these things work together.
Three First Steps to Cloud Modernization
Modernizing in the Cloud allows you to reduce tech debt and take advantage of the benefits of modern technology. In this Tech in 2, Principal AWS Consultant Jeff Pabian shares the three first steps you should take if you want to modernize in the Cloud.
How Sparq Uses Generative AI
Sparq began using generative AI tools in early 2023, when we started offering it to our customers as an option on their projects. In this Tech in 2, Chief Engineering Officer Janet Pierce shares where we've found the most success with AI, the productivity gains we're seeing and how other organizations can get started with it.
Product-Centered Application Modernization
According to Gartner, 40% of application modernization efforts fail. Many times this happens because only the technical components of an upgrade are being taken into account. In this Tech in 2, Chief Technology Officer Derek Perry explains why product-centered application modernization can help you not only modernize your technology, but allow you to take a renewed voice of the customer at the same time.
Getting Started with Generative AI-Assisted Coding
With numerous benefits to using Generative AI in coding, it’s no wonder so many organizations are harnessing this new technology to their advantage. If you haven’t started using Generative AI in coding yet, though, no need to fear. In this video, Chief Engineering Officer Janet Pierce shares three steps to help you get started with using generative AI in coding.