Apache Mesos website screenshot

Apache Mesos

Apache Mesos is a retired cluster manager (now in the Apache Attic) that provided efficient resource isolation and sharing across distributed applications or frameworks. It abstracted CPU, memory, storage, and other compute resources from machines, enabling fault-tolerant and elastic distributed systems. Mesos exposed comprehensive HTTP APIs for schedulers, operators, executors, and agents.

Apache Mesos publishes 1 API on the APIs.io network: Apache Mesos Operator HTTP API API. Tagged areas include Cluster Management, Distributed Systems, Resource Management, Scheduling, and Retired.

Apache Mesos’ developer surface includes developer portal, documentation, engineering blog, and 10 more developer resources.

27.8/100 thin ▬ flat Agent 17/100 agent aware open core · Apache-2.0 Full breakdown ↓
scored 2026-09-08 · rubric v0.20.0
AccessFreemium
2 APIs 8 Features 4 Use Cases
Cluster ManagementDistributed SystemsResource ManagementSchedulingRetired

Kin Score

Kin Score Kin Score How this is scored →
scored 2026-09-08 · rubric v0.20.0
Open Source Surface applies to this provider. This product is open source and we read its repository directly, so Open Source Surface carries 10 points of the composite. It is scored from what the repository actually publishes — a security policy, a contribution guide, a release history, a code of conduct — read live from the provider rather than inferred from our own catalog pointers. This facet adds; nothing was taken away to make room for it. An open-source project is not excused from the commercial facets, because exemption would strip it of the points it does earn. If we have the wrong repository, or this product is not open source, say so on your provider repo and we will drop the facet rather than have you publish against it.
Create-or-Update Ergonomics applies to this provider. This API accepts writes, so it carries 10 points of the composite. It is scored from the published contracts themselves: whether a caller can create-or-update in one call, whether the write accepts a key the caller already holds, and whether the response says which branch ran. Without that, every write needs a search-and-branch in front of it, and the first time that check is skipped a duplicate record is created. Scored against the observed mean rather than raw — a provider at the catalog average is unchanged by this facet, not penalised by it.
The six quality facets above are damped to 80 points between them, because the conditional facet above carries the other 20. That is why each facet's contribution is shown against a damped maximum: raising a quality facet moves the composite by 80% of its nominal weight, not 100%. The full arithmetic is at apis.io/rating/.
Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. Every facet and dimension name above is a link: it opens that measurement's own page — what it means, the exact checks that feed it, how the whole catalog distributes on it, and the providers at the top of it. This rating is computed from github.com/api-evangelist/apache-mesos: open an issue to ask a question, or submit a pull request to add artifacts. Submit an artifact on GitHub — free → Manage your own listing — the Influence plan, $499/mo →

APIs 2

Individual APIs this provider publishes, each with its own machine-readable definition.

Apache Mesos Scheduler HTTP API

The Mesos Scheduler HTTP API at /api/v1/scheduler enables framework schedulers to subscribe to resource offers, launch tasks, kill tasks, reconcile status, and manage framework ...

Apache Mesos Apache Mesos Operator HTTP API API

The Apache Mesos Operator HTTP API API from Apache Mesos — 1 operation(s) for apache mesos operator http api.

Open Collections 3

Open, tool-agnostic API collections (OpenAPI-derived and Bruno).

API Collection

OPEN COLLECTION

Pricing Plans 1

Published pricing tiers and plan structures.

Rate Limits 1

Documented rate limits and quota policies.

Apache Mesos Rate Limits

5 limits

RATE LIMITS

FinOps 1

Cost, billing, and metering signals for API financial operations.

Features 8

Notable capabilities this provider offers.

Resource Abstraction

Abstracts CPU, memory, storage, and other compute resources from physical machines across the entire cluster.

Two-Level Scheduling

Framework schedulers receive resource offers from Mesos and decide how to use them, enabling coexistence of diverse workloads.

Linear Scalability

Proven to scale to tens of thousands of nodes with fault-tolerant replicated master using ZooKeeper.

Container Support

Native Docker and AppC container image support for running containerized workloads.

HTTP API

Comprehensive HTTP API supporting JSON and Protobuf encoding for schedulers, operators, executors, and agents.

High Availability

Fault-tolerant master failover via ZooKeeper with automatic leader election and state recovery.

Resource Reservations

Static and dynamic resource reservations for frameworks and roles with quota management.

Maintenance Scheduling

Built-in maintenance window scheduling for graceful draining and reactivation of agent nodes.

Scroll for all 8

Security Posture 2

Authentication, domain security, vulnerability disclosure, and trust-center signals.

Apache Mesos Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Apache Mesos Vulnerability Disclosure

security.txt · contact published

SECURITY

Agentic Access 1

Recommended x-agentic-access execution contracts for AI agents.

Apache Mesos Agentic Access

1 operation · 1 acting

1 operations · 1 acting

AGENTIC

Use Cases 4

What developers build with this provider.

Distributed Systems Orchestration

Run multiple distributed frameworks including Hadoop, Spark, and Kafka on shared cluster resources.

Container Orchestration

Schedule and manage containerized workloads across a datacenter with resource isolation.

Big Data Processing

Run Apache Spark, Hadoop MapReduce, and other big data frameworks on Mesos-managed resources.

Microservices Platform

Host microservices workloads with Marathon framework providing long-running service scheduling on Mesos.

Integrations 6

Pre-built integrations with other platforms and tools.

Apache Hadoop

Run Hadoop MapReduce jobs on Mesos-managed cluster resources.

Apache Spark

Apache Spark supports Mesos as a cluster manager for distributed job execution.

Apache Kafka

Kafka brokers can be scheduled and managed on Mesos clusters.

Apache ZooKeeper

ZooKeeper provides leader election and state storage for Mesos master high availability.

Docker

Native Docker container image and runtime support for containerized workload execution.

Elasticsearch

Elasticsearch can be deployed and managed as a framework on Mesos clusters.

Resources

Get Started 1

Portal, sign-up, and the first successful call

Documentation 2

Reference material describing how the API behaves

Agent Surfaces 1

MCP servers, agent skills, and machine-readable catalogs

Build 3

SDKs, sample code, and the tooling you integrate with

Access & Security 2

Authentication, authorization, and security posture

Commercial 2

Pricing, plans, and the legal terms of use

Company 2

The organization behind the API

Source (apis.yml)

apis.yml Raw ↑
aid: apache-mesos
name: Apache Mesos
description: Apache Mesos is a retired cluster manager (now in the Apache Attic) that provided efficient resource isolation
  and sharing across distributed applications or frameworks. It abstracted CPU, memory, storage, and other compute resources
  from machines, enabling fault-tolerant and elastic distributed systems. Mesos exposed comprehensive HTTP APIs for schedulers,
  operators, executors, and agents.
type: Index
deliveryModel:
  model: open-core
  license: Apache-2.0
  open_source: true
  commercial: true
  callable_host: false
  label: Open core · an OSS project plus a commercial hosted product
  confidence: high
  source:
  - license
  - openapi
  - pricing
  generated: '2026-08-28'
  method: derived
accessModel:
  pricing: freemium
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Freemium
  confidence: medium
  source:
  - plans
  generated: '2026-07-22'
  method: derived
position: Consuming
access: 3rd-Party
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/icons/apache-mesos.png
tags:
- Cluster Management
- Distributed Systems
- Resource Management
- Scheduling
- Retired
created: '2026-03-16'
modified: '2026-05-19'
url: https://raw.githubusercontent.com/api-evangelist/apache-mesos/refs/heads/main/apis.yml
specificationVersion: '0.23'
apis:
- aid: apache-mesos:mesos-scheduler-http-api
  name: Apache Mesos Scheduler HTTP API
  description: The Mesos Scheduler HTTP API at /api/v1/scheduler enables framework schedulers to subscribe to resource offers,
    launch tasks, kill tasks, reconcile status, and manage framework lifecycle over a persistent HTTP connection with RecordIO-encoded
    streaming responses.
  humanURL: https://mesos.apache.org/documentation/latest/scheduler-http-api/
  tags:
  - Framework
  - HTTP API
  - Scheduling
  - Task
  tags_raw:
  - Framework
  - HTTP API
  - Scheduling
  - Tasks
  properties:
  - type: Documentation
    url: https://mesos.apache.org/documentation/latest/scheduler-http-api/
  - type: GitHubRepository
    url: https://github.com/apache/mesos
- aid: apache-mesos:apache-mesos-apache-mesos-operator-http-api-api
  name: Apache Mesos Apache Mesos Operator HTTP API API
  description: The Apache Mesos Operator HTTP API API from Apache Mesos — 1 operation(s) for apache mesos operator http api.
  humanURL: https://mesos.apache.org/documentation/latest/operator-http-api/
  tags:
  - Apache Mesos Operator HTTP API
  properties:
  - type: OpenAPI
    url: openapi/apache-mesos-apache-mesos-operator-http-api-api-openapi.yml
  - type: Documentation
    url: https://mesos.apache.org/documentation/latest/operator-http-api/
  - type: GitHubRepository
    url: https://github.com/apache/mesos
common:
- type: Website
  url: https://www.apache.org/
- type: CodeOfConduct
  url: https://github.com/apache/.github/blob/main/.github/CODE_OF_CONDUCT.md
- type: ContributionGuide
  url: https://github.com/apache/mesos/blob/master/CONTRIBUTING.md
- type: License
  name: Apache-2.0
  url: https://github.com/apache/mesos/blob/master/LICENSE
- type: AgenticAccess
  url: agentic-access/apache-mesos-agentic-access.yml
- type: VulnerabilityDisclosure
  url: security/apache-mesos-vulnerability-disclosure.yml
- type: DomainSecurity
  url: security/apache-mesos-domain-security.yml
- type: Portal
  url: https://mesos.apache.org/
- type: GitHubOrganization
  url: https://github.com/apache
- type: GitHubRepository
  url: https://github.com/apache/mesos
- type: Documentation
  url: https://mesos.apache.org/documentation/latest/
- type: Blog
  url: https://mesos.apache.org/blog/
- type: TermsOfService
  url: https://www.apache.org/licenses/LICENSE-2.0
- type: Features
  data:
  - name: Resource Abstraction
    description: Abstracts CPU, memory, storage, and other compute resources from physical machines across the entire cluster.
  - name: Two-Level Scheduling
    description: Framework schedulers receive resource offers from Mesos and decide how to use them, enabling coexistence
      of diverse workloads.
  - name: Linear Scalability
    description: Proven to scale to tens of thousands of nodes with fault-tolerant replicated master using ZooKeeper.
  - name: Container Support
    description: Native Docker and AppC container image support for running containerized workloads.
  - name: HTTP API
    description: Comprehensive HTTP API supporting JSON and Protobuf encoding for schedulers, operators, executors, and agents.
  - name: High Availability
    description: Fault-tolerant master failover via ZooKeeper with automatic leader election and state recovery.
  - name: Resource Reservations
    description: Static and dynamic resource reservations for frameworks and roles with quota management.
  - name: Maintenance Scheduling
    description: Built-in maintenance window scheduling for graceful draining and reactivation of agent nodes.
- type: UseCases
  data:
  - name: Distributed Systems Orchestration
    description: Run multiple distributed frameworks including Hadoop, Spark, and Kafka on shared cluster resources.
  - name: Container Orchestration
    description: Schedule and manage containerized workloads across a datacenter with resource isolation.
  - name: Big Data Processing
    description: Run Apache Spark, Hadoop MapReduce, and other big data frameworks on Mesos-managed resources.
  - name: Microservices Platform
    description: Host microservices workloads with Marathon framework providing long-running service scheduling on Mesos.
- type: Integrations
  data:
  - name: Apache Hadoop
    description: Run Hadoop MapReduce jobs on Mesos-managed cluster resources.
  - name: Apache Spark
    description: Apache Spark supports Mesos as a cluster manager for distributed job execution.
  - name: Apache Kafka
    description: Kafka brokers can be scheduled and managed on Mesos clusters.
  - name: Apache ZooKeeper
    description: ZooKeeper provides leader election and state storage for Mesos master high availability.
  - name: Docker
    description: Native Docker container image and runtime support for containerized workload execution.
  - name: Elasticsearch
    description: Elasticsearch can be deployed and managed as a framework on Mesos clusters.
maintainers:
- FN: Kin Lane
  email: info@apievangelist.com

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