According to recent research, scaling intelligent automation could save the Energy & Utilities industry between $237 billion and $813 billion in operational costs. Despite this immense potential, utility providers still grapple with intense competition, increasingly stringent regulations, and aging infrastructure and workforce challenges. The demand for more affordable and cleaner renewable energy only adds to these pressures.

A new integration lets you connect your BigQuery data with Anthropic's Claude models on Vertex AI.

Modern software testing now relies heavily on test automation, which helps teams produce reliable, error-free software more quickly and confidently.

In just 12 short months, the Connect with Confluent (CwC) technology partner program has transformed from a new, ambitious initiative to expand the data streaming ecosystem into a thriving portfolio that’s rapidly increasing the breadth and value of real-time data. The program now provides a portfolio of 50+ integrations, each one amplifying the capabilities of Confluent's unified data streaming platform for Apache Kafka and Apache Flink.

I shouldn’t have to convince anyone that Apache Kafka is an incredibly useful and powerful technology. As a distributed event streaming platform, it’s adept at storing your event data and serving it up for downstream consuming applications to make sense of that information––in real time or as close to real time as your use case permits. The real beauty of Kafka as a technology is that it can do it with very little effort on your part. In effect, it’s a black box.

Today’s fans are global - often based across the world from their favorite team, sports star, or artist; and they are also virtual - for example, 99% of NBA fans across the world will probably never set foot in an arena. These trends are driving a shift in not only fan behaviors, but also expectations. Fans engaging in live events virtually rely on applications to deliver rich realtime experiences with such low latency and reliability that it can almost replace the in-person experience.

Web applications have become the backbone of businesses—from eCommerce platforms like Amazon to social networks like Facebook. Unlike traditional websites that simply present information, web apps let users interact, make transactions, or even collaborate in real-time. Whether you're a small startup looking to streamline operations or a large enterprise needing scalable solutions, web apps make it all happen. But how do you go from idea to execution?

A development environment is a crucial setup of tools, configurations, and processes that developers use to build, test, and deploy software. Whether it’s a local setup on a developer’s local machine or a remote cloud-based solution, a development environment’s primary goal is to provide a seamless space where code can be written, tested, and executed efficiently. It’s never been more important to have a streamlined setup of cloud and development environments.

End-to-end testing (E2E) is an important part of the software development process, serving as a comprehensive way to verify that applications and systems work properly not only in the testing enviroment, but also in real-life scenarios. It provides a level of assurance that your application will correctly exhibit behavior from start to finish.

Both Cypress vs Playwright provide powerful solutions for end-to-end testing, but understanding their unique strengths will help you select the best tool for your web application testing needs. Choosing between Cypress and Playwright depends on the specific needs of your project.