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Learn MorePros of Gardener
Pros of kops
Pros of Apache Mesos
Pros of Gardener
- It works across clouds and on-prem2
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Pros of Apache Mesos
- Easy scaling21
- Web UI6
- Fault-Tolerant2
- Elastic Distributed System1
- High-Available1
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Cons of Gardener
Cons of kops
Cons of Apache Mesos
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Cons of Apache Mesos
- Not for long term1
- Depends on Zookeeper1
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What is Gardener?
Many Open Source tools exist which help in creating and updating single Kubernetes clusters. However, the more clusters you need the harder it becomes to operate, monitor, manage and keep all of them alive and up-to-date. And that is exactly what project Gardener focuses on.
What is 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.
What is Apache Mesos?
Apache Mesos is a cluster manager that simplifies the complexity of running applications on a shared pool of servers.
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Jobs that mention Gardener, kops, and Apache Mesos as a desired skillset
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What tools integrate with Gardener?
What tools integrate with kops?
What tools integrate with Apache Mesos?
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What are some alternatives to Gardener, kops, and Apache Mesos?
Architect
Create, deploy, and maintain next-generation AWS cloud function-based serverless infrastructure with full local, offline workflows, and more.
Rancher
Rancher is an open source container management platform that includes full distributions of Kubernetes, Apache Mesos and Docker Swarm, and makes it simple to operate container clusters on any cloud or infrastructure platform.
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.