The debate between static and dynamically typed languages has long been a subject of contention among developers. Each approach offers its own set of advantages and disadvantages, significantly influencing the software development process. Dynamically typed languages like Ruby provide flexibility by allowing variables to be declared without corresponding types. This approach fosters rapid development and promotes an agile process.

Have you ever struggled to make the value of your data clear to your audience? Numbers and charts are great, but on their own, they often lack the power to inspire your audience to care and act. People also find it hard to understand the results from metrics alone. Conveying the importance of your data, and translating what it means (and why your audience should care) thus requires more context. That's where Stories comes in.

Whether you’re looking to jump-start a new use case, or accelerate your migration journey, collaborating closely with Confluent and our partners enables you to fulfill the increasing need for real-time customer experiences and applications, opening doors to new growth and success opportunities.

Imagine you’re running a complex, distributed system—everything seems smooth until, without warning, a sudden failure brings the entire operation to a halt. What caused it? How can you prevent it from happening again? This is where chaos testing comes in. Chaos testing, or chaos engineering, is a proactive approach to discovering system weaknesses before they turn into catastrophic failures.

According to recent survey data from Cloudera, 88% of companies are already utilizing AI for the tasks of enhancing efficiency in IT processes, improving customer support with chatbots, and leveraging analytics for better decision-making. More and more enterprises are leveraging pre-trained models for various applications, from natural language processing to computer vision. For that reason, Cloudera is evaluating a new line of business: Cloudera Integrated Data and AI Exchange (InDaiX).

Laravel is the most popular PHP framework for building web applications and is loved for its elegance, simplicity, and scalability. However, like any other framework for web development, Laravel can experience performance issues if it’s not optimized for high performance. Laravel performance problems aren't usually due to the framework itself, but rather some suboptimal choices in the application.

As the frenzied hype around generative AI cools off and as we get into the year of ideation, earlier adopters of AI are starting to see the results of initial experimentation. And these conversations are increasingly shifting to a more problem-oriented mentality. A lot of people were understandably swept up in the excitement of all that AI can do, only to find that some use cases were too risky or that those problems could be solved with traditional methods that were less costly.