For more than a decade, the heavy lifting behind artificial intelligence has been done on clusters of machines owned, cooled, and cabled by the organizations that use them. Data engineering, machine learning training, and large-scale preprocessing have traditionally demanded dedicated high-performance computing infrastructure: racks of servers connected by low-latency interconnects, tended by specialized staff, and…
Serverless computing has quietly become the backbone of the modern internet. Every time a photo is uploaded, an API is called, or a smart device pings the cloud, there is a good chance a serverless function is spinning up somewhere to handle the request. The promise of the paradigm is seductive: developers write code, deploy…
Serverless changed the attack surface: no host to protect, but every function is a tiny privileged identity with its own code, dependencies, and permissions and there are thousands of them. Security shifted to least-privilege function roles, code and dependency scanning, and runtime behaviour. Palo Alto and Aqua lead, Snyk owns the code layer, and the…
Microsoft announced the Azure Functions serverless agents runtime in public preview at Build 2026, turning the event-driven compute service into a platform for building and hosting AI agents. The headline change: agents are defined in .agent.md files, a markdown-first programming model in which an agent’s instructions, tools, connections, and behavior are declared in a single…
AWS recently updated Amazon Aurora Serverless with a new platform version that improves scaling behavior and runtime efficiency. According to the cloud provider, capacity can now scale up about 45% faster during demand spikes, and database performance improves by up to 30% through better resource scheduling and workload-aware scaling decisions. Platform version 4 introduces improved…
