Systems | Development | Analytics | API | Testing

GitLab SAST: Using GitLab With Klocwork

GitLab SAST is a combination of GitLab— an integrated solution that covers the entire DevOps lifecycle — and, Klocwork — a static code analysis and SAST tool. When used together, these tools provide software development teams with a powerful GitLab SAST solution. Here we explain the benefits of GitLab SAST.

Revolutionizing Financial Services with AI: Harnessing Speed and Real-Time Data in the Cloud

In today's financial services landscape, the need for speed is paramount. Traditional financial processes are no longer sufficient to meet the demands of modern consumers and businesses. The synergy of three emerging technologies promises to expedite financial services processes: By implementing a data fabric, financial institutions can break down silos, enabling data to flow freely across the organization.

Resque v Sidekiq for Ruby Background Jobs Processing

Background job processing is integral to modern software architecture. Background jobs allow resource-intensive tasks to be handled asynchronously, improving your application’s responsiveness and efficiency. You can use background processing for tasks such as sending emails, data processing, and batch jobs. If you were to run these synchronously, they could significantly degrade the user experience and system performance. Thus, most frameworks have libraries for running background jobs.

Navigating Django Logging: From Basics to Best Practices

Django is designed to be secure by default, which means that its got a number of featured out of the box to protect against common Web vulnerabilities, including SQL injection, cross-site scripting (XSS), and cross-site request forgery (CSRF). Its extensive documentation, active community, and strong ecosystem of reusable apps and libraries make it a common choice for developers looking to create scalable and maintainable Web applications.

Generative AI vs Predictive AI: Knowing the Differences

Generative AI has received the lion’s share of the press. With good reason—it’s revolutionizing the way we do work and do business. But it’s not the only game in town. Predictive AI also places a role across enterprise use cases like demand forecasting, maintenance, and customer experience. This blog will discuss these two types of AI: generative AI and predictive AI.

Down the AI Rabbit Hole: Leveraging AI in Your Projects Without Ending Up Lost in Wonderland

Generative AI is transforming the world around us, and is quickly becoming a part of the conversation as we greenfield new features and applications. It is very alluring to deliver AI features into our existing products, and think about new projects we might build around AI. However, you might have already found that the journey into the realm of AI often feels like tumbling down the rabbit hole into wonderland - a maze of complexity and uncertainty.

What is an AI Gateway?

In this session, Marco Palladino, CTO and co-founder of Kong, discusses the importance of AI gateways in supporting the growing demand for AI and API usage. He explains how Kong's AI Gateway simplifies the creation of AI applications by providing a unified infrastructure layer that abstracts common requirements, such as authentication, authorization, traffic control, and observability.