Tag: Let’s Architect

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 […]

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.

SQL databases in Amazon Web Services (AWS), using services like Amazon Relational Database Service (Amazon RDS) and Amazon Aurora, offer software architects scalability, automated management, robust security, and cost-efficiency. This combination simplifies database management, improves performance, enhances security, and allows architects to create efficient and scalable software systems. In this post, we introduce caching strategies […]

In-memory databases play a critical role in modern computing, particularly in reducing the strain on existing resources, scaling workloads efficiently, and minimizing the cost of infrastructure. The advanced performance capabilities of in-memory databases make them vital for demanding applications characterized by voluminous data, real-time analytics, and rapid response requirements. In this edition of Let’s Architect!, […]

Every software component built by engineers and architects is designed with a purpose: to offer particular functionalities and, ultimately, contribute to the generation of business value. We should consider fundamental factors, such as the scalability of the software and the ease of evolution during times of business changes. However, performance and cost are important factors […]

Security is fundamental for each product and service you are building with. Whether you are working on the back-end or the data and machine learning components of a system, the solution should be securely built. In 2022, we discussed security in our post Let’s Architect! Architecting for Security. Today, we take a closer look at […]