Even though containers are different from virtual machines (VMs), most of the metrics you get from a container are pretty similar to the ones you get from a VM or a physical server. What’s different is the meaning a metric has in a containerized system. Metrics are important because they give you a better understanding […]
In today’s rapidly evolving digital landscape, software development and security are more intertwined than ever before. Cybersecurity threats are becoming increasingly sophisticated, and traditional approaches to software development and security are no longer sufficient. To address this challenge, many organizations are turning to DevSecOps, a set of practices that integrate security into the software development […]
Do you know what the key to a successful website is? Well, you’re probably going to say that it’s quality coding. However, today, there’s one more aspect that we should consider. That’s reliability. There are several SRE practices at play in making a site reliable. And if a site is reliable, it’s successful. For instance, […]
Enterprise systems store enormous amounts of sensitive information, from customer records to financial data. Protecting that information is critical. Azure data masking helps organizations secure personally identifiable information (PII) and other regulated data while still giving teams realistic datasets for development, testing, and analysis in non-production environments. For organizations operating at scale, managing data across […]
In this blog post, we’ll explore how measuring and monitoring metrics related to software testing environments can greatly benefit Value Stream Mapping (VSM) efforts. These metrics may encompass factors such as test coverage, defect density, and resource utilization. By gathering and analyzing this data, organizations can enhance their testing processes, identify areas that require improvement, […]
The success of data-driven initiatives hinges on the accuracy of the data being used, and professionals in the field rely on real-time information to construct data models. However, these professionals typically do not work directly with the original dataset. Instead, they create replicas of the data in development environments using a process called data cloning. […]