Matt Asay is a veteran technology columnist who has written for CNET, ReadWrite, and other tech media. Asay has also held a variety of executive roles with leading mobile and big data software companies.
Unlike most tech markets, the decades-old global database market keeps growing faster, even as it tops $100 billion in size. The cause? The shift to cloud and attempts to take advantage of AI.
Commentary: Networking has long been the holdout for enterprises looking to go cloud native, but Cilium Mesh promises to seamlessly blend legacy infrastructure with cloud-native infrastructure.
Commentary: Though a new report claims artificial intelligence could replace some jobs, the reality is that people in these roles and others can use AI to do their work much more effectively than before.
Diagnosing the health of connections between modern API-driven applications is a beast. Isovalent and Grafana Labs are working to give platform teams simpler options.
Data models are used to represent real-world entities, but they often have limitations. Avoid these common data modeling mistakes to keep data integrity.
After decades of proprietary stovepipes for media players and back-end video infrastructure, a new open source abstraction from Mux may liberate developers.
Ingesting large volumes of disparate data can yield a rich source of information — but it’s also a recipe for data chaos. Use these tips to improve data quality as your data lake grows.
