Discover Redshift’s top performance features and latest capabilities to streamline your data analysis processes — Announced in November 2012, Amazon Redshift, according to AWS, is a fully managed cloud data warehouse service designed to quickly and cost-effectively analyze large datasets using existing SQL-based tools and business intelligence applications. …

Given similar functionality, what differences make one AWS-managed streaming service a better choice over the other — Data streaming has emerged as a powerful tool in the last few years, thanks to its ability to quickly and efficiently process large volumes of data, provide real-time insights, and scale and adapt to meet changing needs. …

Explore the capabilities and applications of generative AI to create realistic synthetic data for software development, analytics, and machine learning — Introduction Generative AI refers to a class of artificial intelligence algorithms capable of generating new data similar to a given dataset. These algorithms learn the underlying patterns and relationships in the data and use this knowledge to create new data consistent with the original dataset. …

🦄 Generative AI has the potential to revolutionize software-based companies’ missions. Companies no longer need to worry about “how to build” their products but only about “what to make.” As a result, they can shift their focus from technology-driven to product-driven development. 👩🏻‍💻 With the help of rapidly evolving advanced…

Learn the essential terms and concepts you need to know to navigate the rapidly evolving world of generative AI — Generative AI is a fascinating and rapidly evolving field that has the potential to transform the way we interact with technology. However, with so much buzz and hype surrounding this topic, making sense of it all can be challenging. …

Explore ten ways you can use Generative AI coding tools to accelerate development and increase your productivity on AWS — “Generative AI coding tools are a new class of software development tools that leverage machine learning algorithms to assist developers in writing code. These tools use AI models trained on vast amounts of code to offer suggestions for completing code snippets, writing functions, and even entire blocks of code.” …

Explore six popular generative AI-powered tools, including ChatGPT, Copilot, CodeWhisperer, Tabnine, Bing, and ChatSonic — Introduction Modern software systems continue to grow inherently more complex over time. We have evolved from bulky monoliths to loosely coupled, event-driven, fault-tolerant, stateless, serverless, cloud-native, real-time, microservices-based, API-first, continuously deployed distributed systems, festooned with CQRS, 2PC, DDD, EDA, DOMA, Sagas, BFFs, GraphQL, gRPC, micro-frontends, contract tests, and Hexagonal architectures. …

Explore twelve common patterns for developing an effective and efficient multi-account AWS environment strategy — Introduction Every company is different: its organizational structure, the length of time it has existed, how fast it has grown, the industries it serves, its product and service diversity, public or private sector, and its geographic footprint. This uniqueness is reflected in how it organizes and manages its Cloud resources. …

Explore the wide variety of Application Performance Monitoring (APM) and Observability options on AWS — APM and Observability Observability is “the extent to which the internal states of a system can be inferred from externally available data” (Gartner). The three pillars of observability data are metrics, logs, and traces. …