Apache CloudStack vs Apache Mesos

Overview

Apache CloudStack

Stacks66

Followers250

Votes95

GitHub Stars2.7K

Forks1.2K

Apache Mesos

Stacks306

Followers418

Votes31

GitHub Stars5.3K

Forks1.7K

Apache CloudStack vs Apache Mesos: What are the differences?

Introduction: Apache CloudStack and Apache Mesos are both open-source software platforms designed to manage and organize large data center infrastructures efficiently. Despite having similar goals, they differ significantly in their architecture and functionalities.

Orchestration vs Resource Management: Apache CloudStack is primarily an orchestration platform that focuses on managing virtualized resources such as instances, storage, and networking. On the other hand, Apache Mesos is more of a resource management platform that abstracts CPU, memory, storage, and other resources, allowing applications to efficiently share resources across clusters.
Containerization Support: Apache Mesos has native support for container orchestration tools like Docker and Kubernetes, making it an ideal choice for organizations looking to adopt container-based workflows. In contrast, Apache CloudStack mainly deals with managing virtual machines and lacks direct integration with modern container technologies.
Task Scheduling Approach: Apache Mesos uses a two-level scheduling mechanism where the Mesos master schedules resources to frameworks, which in turn schedules tasks to specific agents. This approach provides a high degree of flexibility and resource utilization. In comparison, Apache CloudStack follows a more traditional approach where tasks are scheduled directly to virtual machines, limiting fine-grained resource allocation.
Community and Ecosystem: The Apache Mesos community is more focused on supporting diverse workloads and developing integrations with emerging technologies, leading to a vibrant ecosystem around the platform. Apache CloudStack, while having a dedicated user base, may not have the same level of community engagement and expansion into new use cases as Mesos.

In Summary, Apache CloudStack and Apache Mesos differ in their approach to resource management, containerization support, task scheduling, and community engagement.

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Detailed Comparison

Apache CloudStack	Apache Mesos
CloudStack is open source software designed to deploy and manage large networks of virtual machines, as a highly available, highly scalable Infrastructure as a Service (IaaS) cloud computing platform.	Apache Mesos is a cluster manager that simplifies the complexity of running applications on a shared pool of servers.
Works with hosts running KVM, XenServer/XCP-ng, VMware ESXi with vSphere and HyperV; Provides a friendly Web-based UI for managing the cloud; Provides a native API; Manages storage for instances running on the hypervisors (primary storage) as well as templates, snapshots, and ISO images (secondary storage); Orchestrates network services from the data link layer (L2) to some application layer (L7) services, such as DHCP, NAT, firewall, VPN, and so on; Accounting of network, compute, and storage resources; Multi-tenancy/account separation; User management; Supports Kubernetes, Terraform, Ansible	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
Statistics
GitHub Stars 2.7K	GitHub Stars 5.3K
GitHub Forks 1.2K	GitHub Forks 1.7K
Stacks 66	Stacks 306
Followers 250	Followers 418
Votes 95	Votes 31
Pros & Cons
Pros 15 Apache CloudStack works 13 Multi hypervisor 10 Easy setup 9 Open architecture 9 Real open source software	Pros 21 Easy scaling 6 Web UI 2 Fault-Tolerant 1 Elastic Distributed System 1 High-Available Cons 1 Not for long term 1 Depends on Zookeeper
Integrations
No integrations available	Apache Aurora

What are some alternatives to Apache CloudStack, Apache Mesos?

OpenStack

OpenStack is a cloud operating system that controls large pools of compute, storage, and networking resources throughout a datacenter, all managed through a dashboard that gives administrators control while empowering their users to provision resources through a web interface.

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.

VirtKick

Software as a service platform for hosting providers.

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.

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.

Related Comparisons

Apache CloudStack vs Apache Mesos: What are the differences?

Orchestration vs Resource Management: Apache CloudStack is primarily an orchestration platform that focuses on managing virtualized resources such as instances, storage, and networking. On the other hand, Apache Mesos is more of a resource management platform that abstracts CPU, memory, storage, and other resources, allowing applications to efficiently share resources across clusters.
Containerization Support: Apache Mesos has native support for container orchestration tools like Docker and Kubernetes, making it an ideal choice for organizations looking to adopt container-based workflows. In contrast, Apache CloudStack mainly deals with managing virtual machines and lacks direct integration with modern container technologies.
Task Scheduling Approach: Apache Mesos uses a two-level scheduling mechanism where the Mesos master schedules resources to frameworks, which in turn schedules tasks to specific agents. This approach provides a high degree of flexibility and resource utilization. In comparison, Apache CloudStack follows a more traditional approach where tasks are scheduled directly to virtual machines, limiting fine-grained resource allocation.
Community and Ecosystem: The Apache Mesos community is more focused on supporting diverse workloads and developing integrations with emerging technologies, leading to a vibrant ecosystem around the platform. Apache CloudStack, while having a dedicated user base, may not have the same level of community engagement and expansion into new use cases as Mesos.

In Summary, Apache CloudStack and Apache Mesos differ in their approach to resource management, containerization support, task scheduling, and community engagement.

Apache CloudStack vs Apache Mesos

Overview