E book maas

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Server provisioning: What Network Admins
and IT Pros need to know

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Server provisioning: What Network Admins and IT Pros need to know
This document is designed to help
system administrators and DevOps focused
Organisations to understand bare metal server
provisioning, understand its value proposition,
and learn about how leading companies are
using server provisioning solutions within their
hyperscale environments. Canonical addresses
these requirements with the open source
utility MAAS (Metal as a Service).
This solution helps Organisations to take full
advantage of existing hardware investments
by maximising hardware efficiency, and a
pathway to leverage the performance and
security of hardware based solutions with
the economics and efficiencies of the cloud.
What you will learn

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Christopher Wilder
ContentMarketing,Canonical
ChristopherWilderhasdomainexpertiseinCloud
Computing and Infrastructure, the Internet of
Things (IoT), machine learning, businessAnalytics,
networking, communications, and software
defined infrastructure.
Chris is the author of the book Big Software Has
Arrived, and the co-author of the best-seller,
Influencing the Influencers. Chris is a frequent
contributor to Forbes and TechTarget. He has
also published multiple columns on software
and technologies in The New York Times, Boston
Globe, CEO Magazine, and others. He serves
on TechTarget’s Cloud Advisory board, and
is a trusted advisor for dozens of technology
companies worldwide.
About the author

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Executive summary
Cloud speed with bare metal
reliability and efficiency
Get the most out of your
hardware investment
How the smartest IT Pros let
software do the work
Make hardware investments
more strategic
Conclusion
Contents
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08
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As Larry Ellison, founder of Oracle, once
famously said of cloud “All it is, is a computer
attached to a network.” Larry and Oracle have
since embraced cloud technologies such as
OpenStack yet the basic premise that it starts
with a physical server and a network still holds
true. Organisations wishing to run a cloud on
premises need to master bare metal servers
and networking and this is causing a major
transition in the datacenter.
Big Software, IoT (Internet of Things), and Big
Data are changing how operators must architect
and deploy and managed servers and networks.
The traditional Enterprise scale-up models of
delivering monolithic software on a limited
number of big machines are being replaced by
scale-out solutions that are deployed across
many environments on many servers.
This shift has forced data centre operators to
look to alternative methods of operation that
can deliver huge scale while reducing costs.
As the pendulum swings, scale-out represents
a major shift in how data centres are deployed
today. This approach presents a more agile and
flexible way to drive value to cloud deployments
while reducing overhead and operational costs.
Scale-out is driven by a new era of software
(web, Hadoop, Mongodb, ELK, NoSQL, etc.)
that enables Organisations to takeadvantage
of hardware efficiencies whilst leveraging
existing or new infrastructure to automate
andscalemachinesandcloud-basedworkloads
acrossdistributed,heterogeneousenvironments.
This next generation of software brings new
automation and deployment tools, efficiencies,
and methods for deploying distributed systems
in the cloud.
Executive summary
Big Software is the key driver forcing
Organisations to focus on tools and models to
deploy and manage workloads and applications
spreadacrossscaled-outenvironments,including
disparate data centre and cloud environments.
All the while, optimising components within
distributed, often hyper-converged hardware
environments.

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However, no matter what infrastructure you
have, there are bare metal machines under
it, somewhere. When rolling out data centre
deployments, companies need a tool that can
provision everything they need, while working
with the infrastructure they have. For private
infrastructure to thrive in the cloud era, it must
be agile and efficient.
In the data centre, Organisations had
significant friction with the onboarding,
provisioning, and management of their
physical hardware. This is, in large part, why
Virtual Machines (VMs) became popular.
As VMs appeared and evolved within the
data centre, enterprises moved from purpose-
configured applications designated for
specific hardware configurations to more
general solutions designed to work within a
virtual machine environment.
Scale-up: Scale-Out:
Scale-up vs. Scale-out

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MAAS is trusted byHardware has always been an expensive and
difficult resource to deploy within a data centre,
but is unfortunately still a major consideration
for any organisation moving all or part of their
infrastructure to the cloud.
To become more cost-effective, Organisations
hire teams of developers to cobble together
software solutions that solve functional
business challenges while leveraging existing
legacy hardware in the hopes of offsetting
the need to buy and deploy more hardware-
based solutions. VMs require a hypervisor,
which enables streamlined operations through
software, but managing the hardware itself
remains a painful journey through proprietary
APIs and often incompletely-implemented
specifications like Distributed Management
Task Force’s IPMI (intelligent platform
management interface).
Organisations are looking for more efficient
waystobalancetheirhardwareandinfrastructure
investments with the efficiencies of the cloud.
Canonical’s MAAS (Metal As A Service) is such
a technology. MAAS is effectively a hardware
API that turns bare metal servers into its own
cloud, without virtual machines. MAAS is
designed for devops at scale, in places where
bare metal is the best way to run your app.
Big data, private cloud, PAAS and HPC all
thrive on MAAS.

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Cloud speed with bare metal
reliability and efficiency
MAAS allows operators to deploy physical
hardware as opposed to virtual environments.
Within the service there are common
technologies like PXE (preboot execution
environment) and IPMI to ensure interoperability
and support for a range of hardware. MAAS
makes it easy to provision physical servers as
easily as deploying a virtual machine in the
cloud with full programmatic control over the
hardware and its capabilities. Further, MAAS
works across all vendors and operating systems
including Windows, Ubuntu, CentOS, RedHat
and Suse.
MAAS is the fastest way
to deploy operating systems
MAAS isn’t a new concept, but demand and
adoption rates are growing because many
enterprises want to combine the flexibility
of cloud services with the raw power of bare
metal servers to run high-power, scalable
workloads. MAAS, however, is a new way of
thinking about physical infrastructure and
how Organisations can leverage the best of
all worlds. This is especially true for compute,
storage, and networking as they have become
commodities in the virtual world. MAAS lets
enterprises treat farms of servers as malleable
resources for dynamic allocation to specific
areas within the ecosystem.

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MAAS is much like any XaaS business model
dedicated to a specific tenant, but the main
difference is customers choose the type of
computeconfigurationtheywantintheirservers
(e.g. x86, single dual, quad core processors)
combined with applicable storage, memory,
and other functionality. Applications and
workloads are deployed onto servers that
have the sufficient compute power, storage,
and an operating system that allows for
optimal performance and efficiency.
MAAS is the fastest way
to deploy operating systems
Search for more supported hardware on our partner portal.

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For example, when a new server needs to be
deployed, MAAS automates most, if not all, of
the provisioning process. Automation makes
deploying solutions much quicker and more
efficient because it allows tedious tasks to be
performed faster and more accurately without
human intervention.
Even with proper and thorough documentation,
manually deploying server to run web services
or Hadoop, for example, could take hours
compared to a few minutes with MAAS. This
is why IT Pros are looking at MAAS as a way to
make the most effective use of their team’s
precious resources and time. Moreover, MAAS
provides a uniform way to provide a hyperscale
environment for admins and users to load
applications onto servers via their preferred
automation tool, i.e. Chef, Puppet, Ansible,
Juju etc.
MAAS Region Controller (regiond)

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Every IT department has made significant
investments in hardware. However, as the
cloud has disrupted traditional business models,
IT Pros needed to find a way to combine the
flexibility of the cloud with the power and
security of their bare metal servers. Canonical’s
MAAS solution allows IT Organisations to
discover, commission, and deploy physical
servers within any cloud environment.
As new services and applications are deployed,
MAAS can dynamically re-allocate physical
resources to match cloud-based workload
requirements. This means Organisations can
deploy both virtual and physical machines
across multiple architectures and virtual
environments, at scale.
MAAS was designed to make complex
hardware deployments faster, more efficient,
and with more flexibility. While there are many
use cases, below are a few segments that have
found success.
High Performance
Computing (HPC):
HPC relies on aggregating computing power
to solve large data-centric problems in subjects
like health care, engineering, business, science,
etc. Many large Organisations are leveraging
MAAS to modernise their OS deployment
toolchain (a set of tool integrations that support
development, deployment, and operations
tasks) and lower server provisioning time.
These Organisations found their tools were
outdated thereby prohibiting them from
deploying large numbers of servers. Server
deployments were slow, modular/monolithic,
and could not integrate with tools, drivers,
and APIs. By deploying MAAS they were able
to speed-up their server deployment times
as well as integrate with their orchestration
platform and configuration management
tools like Chef, Ansible, and Puppet, or
software modeling solutions like Juju.
Get the most out of your
hardware investment

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Smart Data Centers
Servers installed within a data centre typically
serves a single purpose for the duration of its
life. Smart data centres enable the full utilisation
of hardware, thus improving the total cost of
ownership (TCO). With MAAS, smart data centre
operators like Walmart and Box can quickly
power off a server and install a different OS for
a few hours to perform different tasks. MAAS
enables multi purpose server usage which
improves efficiency and doesn’t let servers
go underutilised.
For example, banks typically use full server
power during their normal work hours, taking
in requests from customers (e.g. web banking).
During low volume traffic, unutilised server
power can be redeployed dynamically to do
perform other tasks e.g. fraud detection, batch
processing, etc. To make this process completely
automatic an orchestration tool is required,
but MAAS ensures the reallocation is done
quickly.
Hybrid Cloud
In a hybrid cloud environment, which is an
environment that leverages on-premise
or private cloud infrastructure with public
cloud utilising orchestration tools or service
modeling solutions, MAAS optimises and
unifies operations. MAAS exposes bare-metal
server provisioning operations and an API
(application programming interface) that can
be consumed by service modeling solutions
like Canonical’s Juju as the building blocks for
an optimised hybrid cloud.
As an example, many large enterprises that
rely on transactions as a major part of their
business model (retail, airlines, etc.) manage
their infrastructure via private cloud. However,
during peak demand times they require
extra support via public cloud providers like
Amazon Web Services, Microsoft Azure, and
Google Cloud Platform. Canonical’s Juju works
seamlessly between each environment to
ensure communications between public cloud
APIs and the organisation’s private cloud (i.e
OpenStack). In some cases, the private cloud
needs to run from bare metal servers (i.e.
Hadoop). In those cases, the only possible way
to interface at that level is with MAAS, which
provides an API that allows administrators
and users to provision solutions like a VM.
Each of these examples demonstrates how
forward-thinking Organisations are using
MAAS and other technologies to take full
advantage of their infrastructure investments.

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MAAS acts as an abstraction layer between the
management layer and the underlying physical
hardware. MAAS also can discover existing
hardware resources and automate many
management tasks, including:
• Installing, configuring, and monitoring bare
metal hardware. Including but not limited to,
servers, switches, power distribution units
(PDU)/mains distribution units (MDU), and
Data Acquisition Engines (DAE), etc.
• Install and upgrade firmware, patches,
and updates
• Automated server utilisation and
re-utilisation based on need
• Discovery of compute, network, capabilities,
and storage based on server
• Power on and off servers as needed
By automating these functions MAAS eliminates
the extensive manual process required for
traditional server operations and allows
Organisations to become more operationally
efficient.
Making MAAS Work
MAAS has a tiered architecture with a central
postgres database backing a ‘Region Controller
(regiond)’ that deals with operator requests.
Distributed Rack Controllers (rackd) provide
high-bandwidth services to multiple racks. The
controller itself is stateless and horizontally
scalable, presenting only a REST API.
Rack Controller (rackd) provides DHCP, IPMI,
PXE, TFTP and other local services. They cache
large items like operating system install images
at the rack level for performance but maintain
no exclusive state other than credentials to talk
to the controller.
How the smartest IT Pros let
software do the work
Physical availability zones
In keeping with the notion of a ‘physical
cloud’ MAAS lets you designate machines
as belonging to a particular availability zone. It
is typical to group sets of machines by rack or
room or building into an availability zone based
on common points of failure. The natural
boundaries of a zone depend largely on the
scale of deployment and the design of physical
interconnects in the data centre.
Nevertheless the effect is to be able to
a scale-out service across multiple failure
domains very easily, just as you would expect
on a public cloud. Higher-level infrastructure
offeringslikeOpenStackorMesoscanpresent
that information to their API clients as well,
enabling very straightforward deployment of
sophisticated solutions from metal to container.

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The MAAS API allows for discovery of the zones
in the region. Chef, Puppet, Ansible and Juju can
transparentlyspreadservicesacrosstheavailable
zones. Users can also specifically request
machines in particular Availability Zones.
Thereisnoforcedcorrelationbetweenamachine
locationinaparticularrackandthezoneinwhich
MAAS will present it, nor is there a forced
correlation between network segment and
rack. In larger deployments it is common for
traffic to be routed between zones, in smaller
deployments the switches are often trunked
allowing subnets to span zones.
By convention, users are entitled to assume that
all zones in a region are connected with very
high bandwidth that is not metered, enabling
them to use all zones equally and spread
deployments across as many zones as they
choose for availability purposes.
MAAS physical availability zones

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The node lifecycle
Each machine (“node”) managed by MAAS goes
through a lifecycle – from its enlistment or
onboarding to MAAS, through commissioning
when we inventory and can setup firmware or
otherhardware-specificelements,thenallocation
to a user and deployment, and finally they are
released back to the pool or retired altogether.
MAAS high availability

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New
New machines which PXE-boot on a MAAS
network will be enlisted automatically if MAAS
can detect their BMC parameters. The easiest
way to enlist standard IPMI servers is simply
to PXE-boot them on the MAAS network.
Commissioning
Detailed inventory of RAM, CPU, disks,
NICs, specific models, serial numbers, and
accelerators like GPUs itemised and usable as
constraints for machine selection. It is possible
to run your own scripts for site-specific tasks
such as firmware updates.
Ready
A machine that is successfully commissioned
is considered “Ready”. It will have configured
BMC credentials (on IPMI based BMCs) for
ongoing power control, ensuring that MAAS
can start or stop the machine and allocate or
(re)deploy it with a fresh operating system.
Allocated
Ready machines can be allocated to users,
who can configure network interface bonding
and addressing, and disks, such as LVM, RAID,
bcache or partitioning.
Deploying
Users then can ask MAAS to turn the machine
on and install a complete server operating
system from scratch without any manual
intervention, configuring network interfaces,
disk partitions and more.
Releasing
When a user has finished with the machine,
they can release it back to the shared pool
of capacity. You can ask MAAS to ensure that
there is a full disk-wipe of the machine when
that happens.

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Systems must be configured to ensure maximum
throughput and service delivery. Because each
application has different demands and resource
utilisation,manyOrganisationstendtoover-build
to compensate for peak-load, or they will over-
provision VMs to ensure enough capacity years
out. With MAAS, today’s IT Pros no longer have
to perform capacity planning five-years out.
Instead,theycandevelopstrategiesforcreating
differently configured hardware and cloud
archetypes to cover all classes of applications
within their current environment and existing
IT investments.
MAAS makes it possible for Organisations to
make the most of their hardware by enabling
hardware to reprovision systems for the needs
of the data centre. For example, a server used
Making hardware investments work
for transcoding video 20 minutes ago is now a
Kubernetes worker node, later a Hadoop Map-
Reduce node, and tomorrow something else
entirely.
One of the often overlooked components
to scale-out are the tools and techniques
for leveraging bare metal servers within the
environment. What happens in the next 3-5
years will determine how end-to-end solutions
are architected for the next several decades.
OpenStack has provided an alternative to
public cloud. Containers have brought new
efficiencies and functionality over traditional
VM models, and service modeling brings new
flexibility and agility to both enterprises and
service providers, while leveraging existing
hardware infrastructure investments to deliver
application functionality more effectively.
Further, by complementing MAAS with Juju, IT
Organisations can leverage bundles of Charms
(sets of encapsulated code for deploying and
managing services) to automatically deploy
and configure various server software stacks
and applications functionality. Juju integrates
seamlessly with MAAS, making it possible to
centrally deploy software to the hardware nodes
in a server cluster. Using MAAS and Juju together
can significantly reduce the difficulty deploying
an OpenStack private cloud, thereby increasing
time to market.

The industry is at a pivotal period, transitioning
from traditional scale-up models of the past
to scale-out architecture of the future where
solutions are delivered on disparate clouds,
machines, and environments simultaneously.
IT customers need to have the flexibility of not
ripping and replacing their entire infrastructure
to take advantage of the opportunities the cloud
offers.Thisiswhynewarchitecturesandbusiness
models are emerging. Canonical’s MAAS is a
mature solution to help Organisations to take
full advantage of their cloud and legacy
hardware investments.
Conclusion
To download and install MAAS for free please visit
ubuntu.com/download/server/provisioning
Or to talk to one of our scale-out experts about
deploying MAAS in your datacenter contact us at
ubuntu.com/about/contact-us/form
Get started with MAAS
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At Canonical, we are passionate about
the potential of open source software to
transform business. For over a decade, we
have supported the development of Ubuntu
and promoted its adoption in the enterprise.
By providing custom engineering, support
contracts and training, we help clients in the
telecoms and IT services industries to cut
costs, improve efficiency and tighten security
with Ubuntu and OpenStack. We work with
hardware manufacturers like HP, Dell and
Intel, to ensure the software we create can be
delivered on the world’s most popular devices.
And we contribute thousands of man-hours
every year to projects like OpenStack, to
ensure that the world’s best open source
software continues to fulfil its potential.
About Canonical

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