Mesosphere vs kops
Overview
Share your Stack
Help developers discover the tools you use. Get visibility for your team's tech choices and contribute to the community's knowledge.
CLI (Node.js)
Manual
Detailed Comparison
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. | 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. |
Built on top of open source technology;Grow to tens of thousands of nodes effortlessly while dynamically allocating resources with ease.;Mesosphere keeps your apps running by rebalancing resources and restarting failed tasks automatically.;Mesosphere packs each server with multiple apps, increasing resource utilization.; | - |
Statistics | |
GitHub Stars - | GitHub Stars 16.5K |
GitHub Forks - | GitHub Forks 4.7K |
Stacks 80 | Stacks 94 |
Followers 108 | Followers 77 |
Votes 6 | Votes 0 |
Pros & Cons | |
Pros
| No community feedback yet |
Integrations | |
| No integrations available | |
What are some alternatives to Mesosphere, kops?
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.
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.
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).
Kunobi
The Ninja Command Center for Kubernetes and GitOps. Flux with a proper UI, still CLI-fast.
Atmosly
AI-powered Kubernetes platform for developers & DevOps. Deploy applications without complexity, with intelligent automation and one-click environments.
Ecipse GlassFish
Eclipse GlassFish is a lightweight yet powerful open-source application server that fully implements the Jakarta EE platform. Designed for flexibility, scalability, and reliability, it provides a production-ready environment that adheres strictly to open standards without proprietary dependencies. GlassFish delivers comprehensive support for all required and optional Jakarta EE APIs, successfully passing all corresponding Technology Compatibility Kits (TCKs). It includes an advanced administration console, clustering capabilities, and a rich set of tools that streamline both development and deployment. Continuously maintained under the Eclipse Foundation, GlassFish remains a robust and standards-compliant choice for modern enterprise applications.
Kubegrade
Kubegrade is a Kubernetes-native change safety platform that continuously detects compatibility risk, configuration drift, and breaking changes across clusters before they reach production. It integrates with GitOps workflows to propose precise, reviewable pull requests, helping platform and DevOps teams maintain cluster integrity while preserving full control over changes.
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.
