Kubegrade vs Apache Mesos
Overview
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CLI (Node.js)
Manual
Detailed Comparison
Apache Mesos is a cluster manager that simplifies the complexity of running applications on a shared pool of servers. | 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. |
Fault-tolerant replicated master using ZooKeeper;Scalability to 10,000s of nodes;Isolation between tasks with Linux Containers;Multi-resource scheduling (memory and CPU aware);Java, Python and C++ APIs for developing new parallel applications;Web UI for viewing cluster state | Cluster upgrades, Drift management, Troubleshooting, Agentic worflows, Cluster visualization |
Statistics | |
GitHub Stars 5.3K | GitHub Stars - |
GitHub Forks 1.7K | GitHub Forks - |
Stacks 306 | Stacks 0 |
Followers 418 | Followers 1 |
Votes 31 | Votes 1 |
Pros & Cons | |
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What are some alternatives to Apache Mesos, Kubegrade?
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.
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.
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).
Atmosly
AI-powered Kubernetes platform for developers & DevOps. Deploy applications without complexity, with intelligent automation and one-click environments.
Atmosly
AI-powered Kubernetes platform for developers & DevOps. Deploy applications without complexity, with intelligent automation and one-click environments.
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.
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.
Relay
It is an event-driven DevOps platform. It listens to events from 3rd party services like AWS, Datadog, PagerDuty, Jira and more to trigger simpler, smarter workflows that automate tedious tasks. A lot of existing solutions either require a lot of upfront DIY work (AWS Lambda or running your own script) or they weren’t built for DevOps teams (Zapier, IFTTT).
