Should You Really Adopt Microservices? Lessons from Industry Leaders While microservices theoretically offer independent scaling, team autonomy, and agile deployments, they also introduce significant complexity. Breaking a monolith into distributed services means repla... developer productivity DevOps Docker microservices monolith scalability SOA software architecture
Amazon EKS’s Provisioned Control Plane Looks to Deliver Predictable Kubernetes Performance For organizations relying on Kubernetes to power critical or high-traffic applications, unpredictable performance can jeopardize both reliability and user experience. Amazon Elastic Kubernetes Service... AI workloads AWS cloud infrastructure DevOps EKS Kubernetes performance scalability
Dion Optimizer: Transforming Distributed AI Training Efficiency Optimizers such as Adam and AdamW have been essential to training large-scale neural networks. However, as model sizes soar into the trillions of parameters, the need for more efficient training metho... AI optimization deep learning distributed training large language models open source orthonormal updates PyTorch scalability
Solving Tool Overload in AI Agents with Semantic Selection Modern AI agents are integrating with rapidly expanding tool catalogs, sometimes numbering in the hundreds or thousands. This growth, while promising, introduces a substantial challenge: how can agent... AI agents cost efficiency LLM performance open-source models scalability semantic selection tool routing
Vertex AI Agent Builder Is Streamlining Secure, Scalable AI Agent Development Developing AI agents is now more accessible, but turning prototypes into robust, production-ready solutions still presents hurdles especially around security and governance. Google Cloud’s Vertex AI A... Agent Builder AI agents developer tools Google Cloud observability scalability security Vertex AI