What is Peloton?
A Unified Resource Scheduler to co-schedule mixed types of workloads such as batch, stateless and stateful jobs in a single cluster for better resource utilization. Designed for web-scale companies with millions of containers and tens of thousands of nodes.
Peloton is a tool in the Cluster Management category of a tech stack.
Peloton is an open source tool with 635 GitHub stars and 64 GitHub forks. Here’s a link to Peloton's open source repository on GitHub
Who uses Peloton?
Peloton Integrations
Peloton's Features
- Elastic Resource Sharing
- Resource Overcommit and Task Preemption
- Optimized for Big Data and Machine Learning
- High Scalability
- Protobuf/gRPC based API
- Co-scheduling Mixed Workloads
Peloton Alternatives & Comparisons
What are some alternatives to Peloton?
Apache Mesos
Apache Mesos is a cluster manager that simplifies the complexity of running applications on a shared pool of servers.
Nomad
Nomad is a cluster manager, designed for both long lived services and short lived batch processing workloads. Developers use a declarative job specification to submit work, and Nomad ensures constraints are satisfied and resource utilization is optimized by efficient task packing. Nomad supports all major operating systems and virtualized, containerized, or standalone applications.
YARN Hadoop
Its fundamental idea is to split up the functionalities of resource management and job scheduling/monitoring into separate daemons. The idea is to have a global ResourceManager (RM) and per-application ApplicationMaster (AM).
DC/OS
Unlike traditional operating systems, DC/OS spans multiple machines within a network, aggregating their resources to maximize utilization by distributed applications.
kops
It helps you create, destroy, upgrade and maintain production-grade, highly available, Kubernetes clusters from the command line. AWS (Amazon Web Services) is currently officially supported, with GCE in beta support , and VMware vSphere in alpha, and other platforms planned.