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.
Gardener is a tool in the Cluster Management category of a tech stack.
Gardener is an open source tool with 2.7K GitHub stars and 443 GitHub forks. Here’s a link to Gardener's open source repository on GitHub
Who uses Gardener?
Developers
15 developers on StackShare have stated that they use Gardener.
Gardener Integrations
Pros of Gardener
2
Gardener's Features
- Central dashboard for comfortable interaction - enables users to easily keep track of their clusters’ health, and operators to monitor, debug, and analyze the clusters they are responsible for
- Command line client - simplifies administrative tasks by introducing easy higher-level abstractions with simple commands that allow to condense and multiplex information & actions from/to a set of seed and shoot clusters
Gardener Alternatives & Comparisons
What are some alternatives to Gardener?
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.
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).