Over the years, Amazon DynamoDB has grown into a feature-rich NoSQL database that has deep integrations with various services such as Amazon S3 and AWS Lambda. As businesses increasingly depend on data for decision-making, it is common to use data residing in DynamoDB to contextualize or even drive events at a granular level (as opposed to bulk or batch).

Effectively communicating insights derived from data is a cornerstone of successful decision-making in today's landscape. Yet, many businesses struggle to translate complex analytics into compelling narratives that resonate with diverse audiences. The ability to create engaging and informative presentations directly from data is a critical requirement for modern embedded analytics platforms.

It’s nearing the end of the summer in North America, and one report has been a staple on my reading list for more than a decade: the Flexera State of the Cloud Report. The annual survey of hundreds of global IT decision makers assesses cloud strategies, migration trends, and important considerations for companies moving to the cloud or managing cloud environments.

A database is a critical piece of software for any organization. It stores data and allows users to access and modify it as needed. Many different databases are available, like AWS' Amazon RDS or Microsoft's Azure, so deciding which is suitable for your organization can be challenging. This article will discuss the different kinds of databases and help you choose the right database for your needs.

In this blog, we will walk you through the essentials of setting up Cucumber for your project. You will learn about the prerequisites, installation steps, and configuration needed to get Cucumber up and running. This guide will provide clear instructions for various environments, ensuring you have everything you need to start writing your first Cucumber tests.

Go is an open-source programming language and developer environment from Google that allows for incredibly efficient and powerful applications. Go’s expressive syntax enables developers to write clean, efficient, concise code, allowing faster development cycles and easier maintenance. Whether you’re developing complex distributed systems or lightweight microservices, Go and its powerful libraries provide the tools necessary to create robust and scalable solutions.

From ancient times to infinity, there is that one industry among many others, that has not lost its significance and never will-which industry are we talking about here? Well, it’s the Agriculture Industry. Yes, the Agriculture sector, like farming, which has existed since the dawn of humanity, is no longer considered as traditional and conservative as it used to be.

Imagine running a Python project without a requirements.txt file. Just as you rely on these checks to ensure everything runs fine, smoke tests are performed to confirm that your code is ready for the next phase. Let’s dive into the world of smoke testing now!

Some of the most innovative and profitable microservices architecture examples among enterprise companies in the world — like Amazon, Netflix, Uber, and Etsy — attribute their IT initiatives’ enormous success in part to the adoption of microservices. Over time these enterprises dismantled their monolithic applications. They then refactored them into microservices-based architectures to quickly achieve scaling advantages, greater business agility, and unimaginable profits.

User Acceptance Testing (UAT) is the final phase of the software testing process where actual users test the software in a real-world environment. During UAT, users perform tasks that the software is intended to support, and they check for any issues or bugs that might have been missed in earlier testing phases. If the users accept the software, it is considered ready for release; otherwise, feedback is provided for further refinement. Let's learn more about UAT in-depth!