kubernetes
Google's open-source version of container cluster management
Google's open-source version of container cluster management
How Users feel about kubernetes
Pros
Cons
What reviewers say about kubernetes
Makers praise Kubernetes for dependable orchestration at scale and cloud portability. The makers of Dodo Payments say it powers their containerized workloads and smooth deployments. The makers of xpander.ai highlight customers running AI agent infrastructure on their own clusters. The makers of Pulse for Elasticsearch and OpenSearch deploy across all clouds. Broader reviewers echo strong autoscaling, reliability, and flexibility for microservices, with zero-downtime rollouts and vendor lock-in avoidance noted. Some mention alternatives like ECS, but consensus favors Kubernetes for consistent, scalable operations across environments.
This AI synopsis blends highlights gathered from recent reviewers.
How people rate kubernetes
Based on 13 reviews
Recent highlights
Our customers are using the xpander.ai self-service deployment capabilities to run AI Agent infrastructure on their own Kubernetes clusters
It’s the backbone of our orchestration. K8s gives us control, isolation, and scalability across all our agent workloads. Still the best way to scale complex, stateful AI infra.
We self-host everything on our own severs in the Netherlands using Kubernetes to stay fully in control of reliability, privacy, and cost. It lets us scale efficiently, roll out updates with zero downtime, and avoid vendor lock-in, critical for a platform like UniDeck that offers self-hosted Enterprise licenses.