4. In short words
• Cloud computing is a phrase used to describe a
variety of computing concepts that involve a large
number of computers connected through a real-
time communication network such as the Internet.
• In science, cloud computing is a synonym for
distributed computing over a network, and
means the ability to run a program or application
on many connected computers at the same time.
• The phrase is often used in reference to network-
based services, which appear to be provided by
real server hardware, and are in fact served up
by virtual hardware, simulated by software
running on one or more real machines.
• In common usage, the term "the cloud" is
essentially a metaphor for the Internet. Marketers
have further popularized the phrase "in the cloud"
to refer to software, platforms and infrastructure
that are sold "as a service", i.e. remotely through
the Internet.
• …from Wikipedia
• A lot of servers
• Distributed computing
• Virtualization
• … as a remote service
5. History of Computing
1960 1970 1980 1990 2000
Mainframe
Minicomputer
Client Server
Web
Virtualization
10. • Service models are NOT to classify software,
platforms or products, but are to help us to
understand customers whom our customers
service.
• There are no dependencies between each models.
All the solutions are bounded together when it is
necessary.
11. • Private Cloud
• Public Cloud
• Community Cloud
• Hybrid Cloud
Deployment Models
15. Why Cloud Computing
• SaaS
• Reduced time to benefit
• Lower costs
• Scalability and integration
• New releases
• Easy to use and perform proof of concepts
… from IBM Thoughts on Cloud
• PaaS and IaaS
• Easy to use
• Flexible
• Cost-effective
• Scalable and high-performance
… from AWS
20. 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.
• Open source software for building private and
public clouds
21. A Brief History
• Jointly founded in July 2010
by Rackspace and NASA
with merger of two projects:
• Swift object storage based on
Rackspace’s Cloud Files
platform
• Nova based on Nebula compute
platform
• Six month cycle
24. Compute
• The OpenStack cloud operating system enables enterprises and service providers to offer on-demand
computing resources, by provisioning and managing large networks of virtual machines.
• The compute architecture is designed to scale horizontally on standard hardware, enabling the cloud
economics companies have come to expect.
• It’s similar to Amazon EC2.
• OpenStack Compute does not include any visualization software; rather it defines drivers that interact
with underlying visualization mechanisms, as well as bare meal and high-performance configurations.
• Use Cases
• Service providers offering an IaaS compute platform or services higher up the stack
• IT departments acting as cloud service providers for business units and project teams
• Processing big data with tools like Hadoop
• Scaling compute up and down to meet demand for web resources and applications
• High-performance computing (HPC) environments processing diverse and intensive workloads
26. Supported Hypervisors
• Group A
• KVM on x86
• Qumu on x86
• Group B
• Hyper-V
• VMware
• Group C
• baremetal
• docker
• Xen via libvirt
• LXC via libvirt
• XenAPI on x86
• See Hypervisor Support Matrix
27. Nova and VMware
ESXi Integration with Nova !
(vmwareapi.VMwareESXDriver)
ESXi Integration with Nova !
(vmwareapi.VMwareVCDriver)
28. Storage
• Object Storage
• Storing petabytes of data.
• A distributed storage system for static data
such as VM images, photo storage, email
storage, backups and archives.
• Storage clusters scale horizontally simply
by adding new servers.
• Block Storage
• Block level storage devices.
• Block storage is appropriate for
performance sensitive scenarios such as
database storage, expandable file
systems.
33. Networking
• OpenStack provides flexible networking models to suit the needs of different applications or
user groups. Standard models include flat networks or VLANs for separation of servers and
traffic.
• OpenStack Networking manages IP addresses, allowing for dedicated static IPs or DHCP.
Floating IPs allow traffic to be dynamically rerouted to any of your compute resources, which
allows you to redirect traffic during maintenance or in the case of failure.
• Users can create their own networks, control traffic and connect servers and devices to one or
more networks.
• The pluggable backend architecture lets users take advantage of commodity gear or advanced
networking services from supported vendors.
• Administrators can take advantage of software-defined networking (SDN) technology like
OpenFlow to allow for high levels of multi-tenancy and massive scale.
• OpenStack Networking has an extension framework allowing additional network services, such
as intrusion detection systems (IDS), load balancing, firewalls and virtual private networks
(VPN) to be deployed and managed.
34.
35. Havana Components
Service Project name Description
Dashboard Horizon
Provides a web-based self-service portal to interact with underlying OpenStack services, such as
launching an instance, assigning IP addresses and configuring access controls.
Compute Nova
Manages the lifecycle of compute instances in an OpenStack environment. Responsibilities include
spawning, scheduling and decomissioning of machines on demand.
Networking Neutron
Enables network connectivity as a service for other OpenStack services, such as OpenStack Compute.
Provides an API for users to define networks and the attachments into them. Has a pluggable
architecture that supports many popular networking vendors and technologies.
Storage
Object Storage Swift
Stores and retrieves arbitrary unstructured data objects via a RESTful, HTTP based API. It is highly fault
tolerant with its data replication and scale out architecture. Its implementation is not like a file server
with mountable directories.
Block Storage Cinder
Provides persistent block storage to running instances. Its pluggable driver architecture facilitates the
creation and management of block storage devices.
Shared services
Identity Service Keystone
Provides an authentication and authorization service for other OpenStack services. Provides a catalog of
endpoints for all OpenStack services.
Image Service Glance
Stores and retrieves virtual machine disk images. OpenStack Compute makes use of this during instance
provisioning.
Telemetry Ceilometer Monitors and meters the OpenStack cloud for billing, benchmarking, scalability, and statistical purposes.
Higher-level services
Orchestration Heat
Orchestrates multiple composite cloud applications by using either the native HOT template format or
the AWS CloudFormation template format, through both an OpenStack-native REST API and a
CloudFormation-compatible Query API.
37. OpenStack Roadmap
• Releases
• April 17, 2014: Icehouse Software Release
• May 13-16, 2014: Juno Release Design Summit
• October 2014: Juno Software Release
• November 5-8, 2014: "K" Release Design Summit
• New Capabilities
• Database Service (Trove) - Scalable and reliable cloud database as a service provisioning
functionality for both relational and non-relational database.
• Bare Metal (Ironic) - Provides an API for management and provisioning of physical machines.
• Queue Service (Marconi)
• Data Processing (Savannah) - Hadoop on OpenStack
39. Hadoop vs OpenStack
• Each of them presents total different philosophy.
• Hadoop is designed to scalable and distributed computing.
• OpenStack is designed to manage and control a large pool
of compute, storage and networking resources throughout
data center.
40. HDFS vs Swift
• HDFS uses a central system to maintain file metadata (Namenode), where as in
Swift the metadata is distributed and replicated across the cluster. Having a
central meta-data system is a single point of failure for HDFS, and makes it
more difficult to scale to very large sizes.
• Swift is designed with multi-tenancy in mind, where HDFS has no notion of
multi-tenancy.
• HDFS is optimized for larger files (as is typical for processing data), where
Swift is designed to store any sized files.
• Files in HDFS are write once, and can only have one writer at a time, in Swift
files can be written many times, and under concurrency, the last write wins.
• HDFS is designed to store a medium number of larges files to support data
processing, where Swift is designed as a more generic storage solution to
reliably store very large numbers of varying sized files.
41. vSphere vs OpenStack
• vSphere originated
as a way to provide
virtualized
infrastructure
• OpenStack
originated as a way
to provide
consumable
infrastructure
services
42. vSphere vs OpenStack
• Virtual machines and
instances
• Custom VMs and flavors
• Templates and images
• Virtual disks and volumes
• vMotion and instance
migration
46. SyntronTech OpenStack
• Internal project name: Laika
• Focus on Object Storage at first
• Easily and quickly deployment and configuration
• Appliance
• Integrated with existing software like VMware in enterprise
• PaaS
• OpenStack for SynDriver
• OpenStack for VDI
