Software Engineering Insights

DevOps proved to be a successful collaboration between the development and operations team to bring software to market, as fast as possible. The CI/CD pipeline ensured that quality accompanies speed in development. 

There has been a steep rise in the demand for Emergency Medical Services (EMS) apps and platforms that ensure smooth patient hand-off. The transitioning of patient care from the prehospital team to the Emergency Department (ED) doctors and nurses is the most pivotal aspect of these platforms. 

Log analysis is an integral part of any software development lifecycle's ultimate success. Developers and engineers use logs to assess what is happening at every layer of a software system and track down the root cause of issues. As the software development process produces a large amount of distributed log data, it is often difficult to analyze it all sufficiently.

Most recent conversations around making the software development lifecycle more efficient revolve majorly around two concepts, app containerization, and virtualization. Virtualization and containerization are two of the most widely implemented mechanisms for hosting and developing an application.

The COVID-19 crisis made the healthcare system realize the importance of mHealth like never before. It has enabled seamless communication between the patient and the provider, despite the distance. It allows for 24/7 management of patient's health data, offering the ability to personalize healthcare per patient. 

Software developers are always on the lookout for reliable open-source infrastructure alternatives for developing and deploying applications. That is where Kubernetes, a cloud-native cluster management software solution, comes in. It provides comprehensive solutions for automated app deployment and interoperability among microservices.

For handling complex client-server environments, IT teams swear by the trails provided by logs and metrics data. These trails have a proven record in significantly reducing the Time to Detect (TTD), Time to Mitigate (TTM), and Time to Remediate (TTR) whenever the server or the environment behaves sub-optimally. 

Let’s imagine a situation. There is an eCommerce app that’s receiving high traffic during sales. It was observed that the load balancer wasn’t working as expected, thereby affecting the application performance and consumers’ buying experience as well. 

“It’s art if it can’t be explained. It’s fashion if no one asks for an explanation. It’s design if it doesn’t need explanation.” If we go by the words of Wouter Stokkel, then a great design is one that speaks for itself. ‘Aesthetic, understandable, usable, and sustainable.’ 

Today, Artificial Intelligence (AI) has found a significant place in our lives and across a broad range of industries and businesses. But most of us, including industry stakeholders, have a very vague understanding of how AI systems make the decisions that they do. That is where Explainable AI (XAI) comes in handy, producing transparent and detailed explanations for the way AI functions.