Systems | Development | Analytics | API | Testing

A comprehensive guide to DreamFactory's evolution from a monolithic platform to a modular, container-ready architecture—and how administrators should approach version upgrades.

In today’s product landscape, analytics isn’t just about showing insights. It’s about moving data into the tools where work actually happens, so that users can make informed decisions in context. Users expect analytics to integrate with their systems, whether that means sending a lead to a CRM, creating a Jira ticket, or triggering a workflow downstream. As product owners, that means one thing: your analytics experience should enable seamless data flows across systems.

In today’s fast-paced software environment, getting product features out the door quickly is the minimum. Getting features out the door quickly + with reliability is what separates high performing teams opening up larger opportunities. This is where DevOps testing comes into play, testing not just at the endpoint of the development + operations lifecycle but as an integrated process throughout every step of the life of the product.

I just finished building Speedscale’s eBPF-based component to capture and analyze network traffic in a Kubernetes cluster, and it forced me to confront some uncomfortable truths about observability. While there were certainly some challenges along the way, particularly in dealing with Go applications, the approach was relatively straightforward.

Modern data platforms combine automation and generative AI to make data operations for every use case more accessible and scalable than ever.

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Finance professionals aren’t afraid of AI taking their jobs, they’re afraid of being left behind while keeping them. The real anxiety in today’s finance teams isn’t automation, but irrelevance: the fear that the profession is evolving faster than their skills. This sentiment is increasingly common across organizations that acknowledge AI’s rising influence but haven’t yet aligned their training, expectations, or workflows with the new reality.

If you're working with APIs, chances are that the term "API gateway" has popped up in a conversation or web search at least once. Although they are not new, many developers that are new to creating APIs (or deploying them into a production environment) haven't heard of them or don't fully understand what the technology does. In the most simple terms, an API gateway is a single entry point where API traffic comes in and is then proxied to your actual APIs.