Tag: Let’s Architect

Data is the fuel for AI; modern data is even more important for generative AI and advanced data analytics, producing more accurate, relevant, and impactful results. Modern data comes in various forms: real-time, unstructured, or user-generated. Each form requires a different solution. AWS’s data journey began with Amazon Simple Storage Service (Amazon S3) in 2006, […]

Software as a Service (SaaS) applications offer a transformative solution for businesses worldwide, delivering on-demand software solutions to a global audience. However, building a successful SaaS platform demands on meticulous architectural planning, especially given the inherent challenges of multi-tenancy. It’s also essential to ensure that each tenant’s data remains isolated and protected from unauthorized access […]

The design of cloud workloads can be a complex task, where a perfect and universal solution doesn’t exist. We should balance all the different trade-offs and find an optimal solution based on our context. But how does it work in practice? Which guiding principles should we follow? Which are the most important areas we should […]

In today’s digital world, businesses are increasingly turning to the cloud for its scalability, agility, and cost-effectiveness. Migrating your data center to the cloud can be a daunting task, but with the right approach and tools, it can be a successful journey. This Let’s Architect! blog post will guide you through the process of migrating […]

A data-driven approach empowers businesses to make informed decisions based on accurate predictions and forecasts, leading to improved operational efficiency and resource optimization. Machine learning (ML) systems have the remarkable ability to continuously learn and adapt, improving their performance over time as they are exposed to more data. This self-learning capability ensures that organizations can […]

Generative artificial intelligence (generative AI) is a type of AI used to generate content, including conversations, images, videos, and music. Generative AI can be used directly to build customer-facing features (a chatbot or an image generator), or it can serve as an underlying component in a more complex system. For example, it can generate embeddings […]

2023 was a rollercoaster year in tech, and we at the AWS Architecture Blog feel so fortunate to have shared in the excitement. As we move into 2024 and all of the new technologies we could see, we want to take a moment to highlight the brightest stars from 2023. As always, thanks to our […]

In the software development process, adopting developer tools makes it easier for developers to write code, build applications, and test more efficiently. As a developer, you can use various AWS developer tools for code editing, code quality, code completion, and so on. These tools include Amazon CodeGuru for code analysis, and Amazon CodeWhisper for getting coding recommendations powered by machine learning algorithms.

In this edition of Let’s Architect!, we’ll show you some tools that every developer should consider including in their toolkit.

Harnessing the potential of streaming data processing offers the opportunity to stay at the forefront of industries, make data-informed decisions with agility, and gain invaluable insights into customer behavior and operational efficiency.

With this edition of Let’s Architect!, we’ll cover important things to keep in mind while working in the area of data engineering. Most of these concepts come directly from the principles of system design and software engineering. We’ll show you how to extend beyond the basics to ensure you can handle datasets of any size — including for training AI models.