scale-up

AWS Cloud Service Design Patterns (1)

AWS Cloud Service Design Patterns for Digital Transformation, Artificial Intelligence, and Machine Learning tasks (Snapshot, Stamp, Scale Up, Scale Out, Ondemand Disk, Multi-Server, Multi-Datacenter, Floating IP, Deep Health Check, Routing-Based HA, Clone Server, NFS Sharing, NFS Replica, State Sharing, URL Rewriting, Rewrite Proxy, and Datacenter). Datacenter, Floating IP, Deep Health Check, Routing-Based HA, Clone Server, NFS Sharing, NFS Replica, State Sharing, URL Rewriting, Rewrite Proxy, Cache Proxy, Scheduled Scale Cache Proxy, Scheduled Scale Out, IP Pooling, Web Storage, Direct Hosting, Private Distribution, Cache Distribution, Rename Distribution, Private Cache Distribution, Latency Based Origin)

2023.01.16

アーキテクチャコンピューター

Deploying and Operating Microservices – Docker and Kubernetes

Deployment and operation of microservices leveraged for digital transformation, artificial intelligence and machine learning tasks - Docker and Kubernetes minikube, containers, deployment, kube-ctl, rolling-upgrade, auto-bin packing, horizontal scaling, scale-up, scale-down, self-healing, kubelet, kube-apiserver, etcd, kube-controller- manager, kube- scheduler, pod, kube-proxy, Docker CLI, the Docker Registry, cgroups, Linux kernel, kernel namespace, union mount option, Hypervisor

2022.12.12

アーキテクチャコンピューターネットワーク技術マルチエージェントシステム