software engineering
CNCF Chief: AI Inference Will Drive Increased Cloud Native Software Consumption
AI inference models are set to drive significant cloud-native software consumption, according to CNCF's executive director. With more AI models on Kubernetes, there's a shift towards backend services without graphical interfaces. While ...
Kubernetes v1.35 Arrived, Right On Workload-Aware Schedule
Discover the latest enhancements in Kubernetes workload scheduling, including the Workload API and gang scheduling features aimed at optimizing application performance and management ...
Scaling Real-Time Chat Applications With Docker Swarm and WebSockets
Scaling WebSocket-based chat applications using Docker Swarm, including practical approaches, real-world examples, advanced features and future prospects ...
Docker Survey Surfaces Complex Application Development Landscape
A newly-published survey of app developers suggests that the lines between various architectures relied on to build applications are continuing to blur, and existing approaches will need to continue to evolve ...
3 Key Metrics to Measure Engineering Success
Two decades of leading software teams taught me that leaders tend to put too much emphasis on engineering metrics alone, without thinking about the bigger picture. After speaking to a range of ...
Microservices Benefit: Improving Software Engineers’ Productivity
Microservices have become popular in large part because they simplify application deployment and management. At a higher level, however, they also can help your team work more efficiently. Here’s how. Microservices are ...
