Apache Mesos is a centralized, fault-tolerant cluster manager designed for resource isolation and management in distributed computing environments. It consists of key components including Zookeepers, Mesos Masters, Mesos Slaves, and frameworks that simplify task allocation and resource requests. Mesos aims to reduce specialized clusters, enhance scalability, and provide higher fault tolerance while being utilized by various organizations.

1. APACHE
MESOS

2. APACHE - MESOS
• WHAT IS IT ?
• COMPONENTS
• HOW IT WORKS
• RESOURCE SHARING
• ARCHITECTURE
• INTENSIONS

3. And CLI.

5.  Apache Mesos is a centralised fault-tolerant cluster manager. It’s designed for distributed
computing environments to provide resource isolation and management across a cluster of
slave nodes.
In some ways, Mesos provides the opposite to virtualization:
 Virtualization splits a single physical resource into multiple virtual resources
 Mesos joins multiple physical resources into a single virtual resource
 It schedules CPU and memory resources across the cluster in the same way the Linux Kernel
schedules local resources.
A Mesos cluster is made up of four major components:
 ZooKeepers
 Mesos masters
 Mesos slaves
 Frameworks

6. ZooKeeper :
 Apache ZooKeeper is a centralised configuration manager, used by
distributed applications such as Mesos to coordinate activity across a
cluster.
 Mesos uses ZooKeeper to elect a leading master and for slaves to join
the cluster.
Mesos masters:
 A Mesos master is a Mesos instance in control of the cluster.
 A cluster will typically have multiple Mesos masters to provide fault-
tolerance, with one instance elected the leading master.

7. Mesos slaves:
 A Mesos slave is a Mesos instance which offers resources to the cluster.
 They are the ‘worker’ instances – tasks are allocated to the slaves by
the Mesos master.
Frameworks:
 On its own, Mesos only provides the basic “kernel” layer of your
cluster. It lets other applications request resources in the cluster to
perform tasks, but does nothing itself.
 Frameworks bridge the gap between the Mesos layer and your
applications. They are higher level abstractions which simplify the
process of launching tasks on the cluster.

8. Others:
There are a few other frameworks:
 Aurora – service scheduler
 Hadoop – data processing
 Jenkins – Jenkins slave manager
 Spark – data processing
 Torque – resource manager
You can also write your own framework, using Java, Python or
C++.

10. MPI : MESSAGE
PASSING
INTERFACE

11. HOW IT WORKS ?

13. Why Do we need
MESOS..?

14. Android phone performing multi-tasking operations.
Can we run
data center
application on
our mobile
phones..?

15. What is DATA CENTER?
 A large group of networked computer
servers typically used by organizations for
the remote storage, processing, or
distribution of large amounts of data.

19. APACHE MESOS - INTENSIONS
 AVOID MULTIPLE SPECIALISED CLUSTERS.
 PROGRAM FOR THE DATA CENTER.
 OFFERS THE ABILITY OF MULTIPLE TENANCY WHICH OFFERS:
• Lower Hardware/Maintenance costs.
• Higher utilization and Scalability.
• Higher fault tolerance.

20. APACHE MESOS - USERS
ORAGANISATIONS USING MESOS :
AND MANY MORE….

21. © 2012-2014 The Apache Software Foundation

22. Thank You!
mesos.apache.org
mesos.apache.org/blog
@ApacheMesos