Gardener vs kops

Overview

kops

Stacks94

Followers77

Votes0

GitHub Stars16.5K

Forks4.7K

Gardener

Stacks16

Followers41

Votes2

GitHub Stars3.3K

Forks540

Gardener vs kops: What are the differences?

Control Plane Management: The key difference between Gardener and kops is in the management of the control plane. Gardener manages the entire lifecycle of the control plane, including creation, scaling, upgrades, and monitoring, while kops requires manual interventions for these processes.
Multi-Cloud Support: Gardener supports multi-cloud environments, allowing users to deploy clusters across different cloud providers seamlessly. On the other hand, kops is primarily designed for Kubernetes cluster deployment on AWS, with limited support for other cloud providers.
Managed Services Integration: Gardener enables easy integration with managed services from cloud providers, facilitating the deployment and utilization of various cloud services within Kubernetes clusters. In contrast, kops does not provide out-of-the-box integration with managed services, requiring additional configurations and setup.
Cluster Architecture: Gardener follows a more modular and extensible architecture with components like shoot clusters, seed clusters, and landscape, providing a more flexible and customizable setup. Conversely, kops has a simpler cluster architecture focused on the basic configuration and management of Kubernetes clusters.
Community Support and Updates: Gardener benefits from strong community support and frequent updates, ensuring access to the latest features, bug fixes, and security patches. Kops, while still actively maintained, may have a slower update cycle and may lack the same level of community engagement.
Automated Operations: Gardener offers more automation in cluster operations and maintenance tasks, reducing the operational burden on users. In comparison, kops requires more manual intervention for certain operations, leading to a higher level of hands-on management.

In Summary, Gardener and kops differ in control plane management, multi-cloud support, managed services integration, cluster architecture, community support, and automated operations in Kubernetes cluster deployment.

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CLI (Node.js)

Manual

Detailed Comparison

kops	Gardener
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.	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.
-	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
Statistics
GitHub Stars 16.5K	GitHub Stars 3.3K
GitHub Forks 4.7K	GitHub Forks 540
Stacks 94	Stacks 16
Followers 77	Followers 41
Votes 0	Votes 2
Pros & Cons
No community feedback yet	Pros 2 It works across clouds and on-prem
Integrations
No integrations available	Kubernetes

What are some alternatives to kops, Gardener?

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.

Apache Mesos

Apache Mesos is a cluster manager that simplifies the complexity of running applications on a shared pool of servers.

DC/OS

Unlike traditional operating systems, DC/OS spans multiple machines within a network, aggregating their resources to maximize utilization by distributed applications.

Mesosphere

Mesosphere offers a layer of software that organizes your machines, VMs, and cloud instances and lets applications draw from a single pool of intelligently- and dynamically-allocated resources, increasing efficiency and reducing operational complexity.

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).

Atmosly

AI-powered Kubernetes platform for developers & DevOps. Deploy applications without complexity, with intelligent automation and one-click environments.

Apache Aurora

Apache Aurora is a service scheduler that runs on top of Mesos, enabling you to run long-running services that take advantage of Mesos' scalability, fault-tolerance, and resource isolation.

Elastic Apache Mesos

Elastic Apache Mesos is a web service that automates the creation of Apache Mesos clusters on Amazon Elastic Compute Cloud (EC2). It provisions EC2 instances, installs dependencies including Apache ZooKeeper and HDFS, and delivers you a cluster with all the services running.

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.

Kocho

Kocho provides a set of mechanisms to bootstrap AWS nodes that must follow a specific configuration with CoreOS. It sets up fleet meta-data, and patched versions of fleet, etcd, and docker when using Yochu.

Related Comparisons

Gardener vs kops: What are the differences?

Control Plane Management: The key difference between Gardener and kops is in the management of the control plane. Gardener manages the entire lifecycle of the control plane, including creation, scaling, upgrades, and monitoring, while kops requires manual interventions for these processes.
Multi-Cloud Support: Gardener supports multi-cloud environments, allowing users to deploy clusters across different cloud providers seamlessly. On the other hand, kops is primarily designed for Kubernetes cluster deployment on AWS, with limited support for other cloud providers.
Managed Services Integration: Gardener enables easy integration with managed services from cloud providers, facilitating the deployment and utilization of various cloud services within Kubernetes clusters. In contrast, kops does not provide out-of-the-box integration with managed services, requiring additional configurations and setup.
Cluster Architecture: Gardener follows a more modular and extensible architecture with components like shoot clusters, seed clusters, and landscape, providing a more flexible and customizable setup. Conversely, kops has a simpler cluster architecture focused on the basic configuration and management of Kubernetes clusters.
Community Support and Updates: Gardener benefits from strong community support and frequent updates, ensuring access to the latest features, bug fixes, and security patches. Kops, while still actively maintained, may have a slower update cycle and may lack the same level of community engagement.
Automated Operations: Gardener offers more automation in cluster operations and maintenance tasks, reducing the operational burden on users. In comparison, kops requires more manual intervention for certain operations, leading to a higher level of hands-on management.

Gardener vs kops

Overview