99 karma · joined November 6, 2014
A single Kubernetes cluster can not be scaled indefinitely, and managing very large Kubernetes clusters is challenging. Hence, Armada is a multi-cluster scheduler built on top of several Kubernetes clusters.
Achieving very high throughput using the in-cluster storage backend, etcd, is challenging. Hence, queueing and scheduling is performed partly out-of-cluster using a specialized storage layer.
Armada is designed primarily for ML, AI, and data analytics workloads, and to:
- Manage compute clusters composed of tens of thousands of nodes in total. - Schedule a thousand or more pods per second, on average. - Enqueue tens of thousands of jobs over a few seconds. - Divide resources fairly between users. - Provide visibility for users and admins. - Ensure near-constant uptime.
Armada is written in Go, using Apache Pulsar for eventing, Postgresql, and Redis. A web-based front-end (named "Lookout") provides easy end-user access to see the state of enqueued/running/failed jobs. A Kubernetes Operator to provide quick installation and deployment of Armada is in development.
Source code is available at https://github.com/armadaproject/armada - we welcome contributors and user reports!
There are strong indicators of several causes for this, but America really needs to get serious about health and overall wellness of the population.
For many people, the notion of debugging a MySQL installation on Windows so that it works seems about as plausible as summitting K2 - they don't expect others nearby can simply do it, either. (Also, the suggestion of inter-generational manipulation is not attractive.)
https://www.inc.com/melissa-angell/new-nyc-law-will-require-...
https://www.natlawreview.com/article/new-york-city-council-p...