Apache Mesos
Apache Mesos is an open source cluster manager that provides efficient resource isolation and sharing across distributed applications or frameworks. It sits between the application layer and the operating system on a distributed system, and makes it easier to deploy and manage ap
cluster-manager
resource-isolation
resource-sharing
distributed-applications
open-source
Apache Mesos: Open Source Cluster Manager
Apache Mesos provides efficient resource isolation and sharing across distributed applications or frameworks, making it easier to deploy and manage applications in large-scale clustered environments.
What is Apache Mesos?
Apache Mesos is an open source cluster manager that provides efficient resource isolation and sharing across distributed applications or frameworks. It sits between the application layer and the operating system on a distributed system, and makes it easier to deploy and manage applications in large-scale clustered environments.
Some key features of Apache Mesos include:
- Scalability to 10,000s of nodes
- Fault-tolerant replicated master and slaves using ZooKeeper
- Support for Docker containers
- Native isolation between tasks with Linux Containers
- Multi-resource scheduling (memory, CPU, disk, and ports)
- Java, Python and C++ APIs for developing new parallel applications
- Web UI for viewing cluster state
Apache Mesos allows multiple diverse cluster computing frameworks, such as Hadoop, Spark, Kafka, Elasticsearch and others, to run on a shared pool of nodes. This avoids the need to set aside clusters for specific frameworks, and increases cluster utilization across diverse workloads.
It therefore helps organizations to efficiently manage and schedule workloads and resources in a shared cluster environment. This prevents application silos and underutilization of resources from dedicating certain machines to only run one application type or framework.
Apache Mesos Features
Features
- Efficient resource isolation and sharing across distributed applications
- Scalable
- Fault-tolerant architecture
- Supports Docker containers
- Native isolation between tasks with Linux Containers
- High availability with ZooKeeper
- Web UI for monitoring health and statistics
Pricing
- Open Source
Pros
Improves resource utilization
Simplifies deployment and scaling
Decouples resource management from application logic
Enables running multiple frameworks on a cluster
Cons
Complex installation and configuration
Steep learning curve
Not optimized for small clusters
Limited Windows support
Official Links
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