Developing microservices destined to run in Kubernetes presents a unique set of challenges. In this blog post, we’ll explore a new approach leveraging Codezero in order to enhance both productivity and security.

No matter their size, all organizations rely heavily on the data they collect and manage. This data ranges from customer information to sales records, employee performance, and more. However, if this data is inaccurate, outdated, or incomplete, it becomes more of a liability than an asset, making it more important to measure its health. To do so, they need data quality metrics relevant to their specific needs.

Metadata governance is the systematic approach to managing metadata, or data about data, to ensure it is accurate, consistently formatted, and securely stored. The main goal of metadata governance is to improve data quality, ensure data privacy, and streamline metadata management. As metadata provides the necessary details about data, such as when it was created, by whom, and its content or purpose, it becomes easier for employees to find, understand, and trust the data they use.

The ability to record and see everything happening across your web applications is essential when building resilient and highly available systems. All of your events—from application logs to errors to user behavior—contain data that could be useful to you and your team. When you have a central place to access all this information, finding issues and their root causes becomes easier because you have the data at your fingertips.

Erlang is renowned for its remarkable fault tolerance and high concurrency. Erlang's scheduler efficiently handles many lightweight processes. The scheduler plays a crucial role in managing processes, concurrency, and system resources, efficiently coordinating these elements to help Erlang maintain fault tolerance and support high levels of concurrency in its applications. This post will dissect some of the scheduler's key components and shed light on how it works internally. Let's get started!

Cybersecurity is one of the most prominent and pressing concerns for businesses today. As developers move more of their web applications to a microservices architecture, data is shared by web service APIs now more than ever. Industry analysts predicted that API attacks would become the most common attack vector by the end of this year. Unfortunately, that prediction has come true.

The microapp trend is on the rise! In the approximately two years since joining the DreamFactory team, I’d estimate I’ve conversed with more than one thousand companies about their API-based projects. These conversations provide a great opportunity to peer inside the IT operations of organizations large and small, not to mention pick up on emerging technology trends.

One of the key processes in healthcare data management is integrating data from many patient information sources into a centralized repository. This data comes from various sources, ranging from electronic health records (EHRs) and diagnostic reports to patient feedback and insurance details.

Is your startup operating with no QA team and trying to figure out your options for improving software quality? Perhaps you’re proactively thinking about your QA process before quality becomes a problem. Our maybe quality issues have forced you to finally address your QA process (or lack thereof). Either way, end-to-end (e2e) automated software testing is always part of the answer.