Think back just a few years ago when most enterprises were either planning or just getting started on their cloud journeys. The pandemic hit and, virtually overnight, the need to radically change ways of working pushed those cloud journeys into overdrive. Cost-effective adaptability was essential. And the companies that could scale up or scale down quickly were the ones that navigated the pandemic successfully. Migrating to the cloud made that possible.

Amazon Web Services (AWS) ETL refers to a cloud-based set of tools and services that help extract data from different sources, make it usable, and store it in a way that makes it easy to analyze and make decisions based on it. AWS ETL tools offer a unique advantage for businesses seeking to streamline their data processes. These tools are efficient, scalable, and adaptable, making them ideal for a wide range of industries, from healthcare and finance to retail and beyond.

Enterprises looking to increase productivity and optimize business processes are increasingly turning to artificial intelligence (AI). AI can meet these expectations—but only with the right enabling technology. Intelligent automation at scale across the organization can offer a strategic approach to incorporating AI into complex business processes.

In just a few months, enterprise AI has rapidly evolved into a strategic partner for organizations that want to stay ahead of the disruption curve. Whether enterprises are leveraging predictive analytics for strategic decision-making, using machine learning algorithms for supply chain optimization, or applying generative AI and large language models to enhance customer service, it’s clear AI will help business in many ways.

The fascination with Artificial Intelligence (AI)-driven devices that streamline tasks continues to captivate individuals, driving the perpetual evolution of technology. Among the latest innovations captivating the tech industry’s imagination are chatbots. These virtual agents represent a culmination of advancements in artificial intelligence, marking a paradigm shift in how we interact with technology.

Ready to write functional test cases that testers can action on and that, combined, thoroughly cover the product? Let’s first define functional software testing. Broadly, functional software testing is defined as a type of black-box testing method that focuses on the functionality of a software product. Functional testing is designed to ensure a web or mobile software application meets its requirements and specifications by executing test cases from the user’s perspective.

According to Gartner’s prediction, 90% of organizations will consider information the most valuable asset a business may have. And where does this information come from? Here’s a magic word – data. Even though many companies report making important decisions based on their gut feeling, 85% of them would like to improve the ways they use data insights to make business decisions.

Discover how the latest enhancements to the Alerts feature in Bitrise Insights can streamline your mobile app development with a new UI, advanced filtering, and comprehensive metrics.

Authentication and authorization play crucial roles in modern application development. Over the years, the way we implement these security measures has evolved, with protocols like OAuth2/OpenID Connect now being widely used. While web applications can manually implement these protocols, it requires a certain level of expertise. Moreover, when it comes to single-page applications (SPAs), additional measures are necessary to securely manage security tokens on the application side.

Are you looking to streamline your network traffic but puzzled over whether an API gateway or a load balancer fits your needs? An API gateway centralizes and manages access to your APIs, while a load balancer efficiently distributes incoming traffic across multiple servers. This guide will directly compare api gateway vs load balancer, delineating their strengths to inform your network strategy.