#6162 - how to build and operate your private cloud with ...€¦ · first commercial linux to...
TRANSCRIPT
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#6162 - How to Build and Operate Your Private Cloud with Ubuntu on IBM Power Systems and OpenPOWER
Ivan Doboš, Solutions Architect, IHV teamCanonical
Think ConferenceMarch 2018
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Delivering the economics and agility of hyperscale innovators to enterprises globally
Developer productivity | Infrastructure economics
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● 14.04 LTS first release (April 2014)
● First commercial Linux to support:■ POWER8 LE■ CAPI■ KVM, PowerKVM■ Docker, LXC, LXD■ Cloud Foundry
● Canonical is Platinum OpenPower Member○ Robbie Williamson - Chairman of the Board)○ Ivan Doboš - Technical Steering Committee
● Ubuntu Open Source ecosystem available for Power; IBM software charms available now
IBM / Canonical Power Relationship
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Why cloud?
● (Hyper)scale
● Flexibility
● Efficiency ==> better economics
● Successful cloud
– Hosting applications
– Growing (scaling out)
– Providing new features (Regular upgrades)
– minimizing operational costs by Automation
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From bare metal to containers ...
● Hardware (compute, network, storage)
● Operating system
● Applications
● Containers● Applications● Containers *
● Applications
● Hypervisor● Virtual Machines
● Operating System● Applications● Containers
● Application
* nested containers, Docker under LXD example
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Ubuntu Server
Cloud Solution Stack: Enabling Operations at Scale
Containers (LXD)
Juju
MAAS
OpenStack
VMs - KVM
Lan
dsc
ape
Enterprise-class, hyperscale server operating system
Landscape: Systems management & patching
Ubuntu OpenStack:Canonical-produced optimized and interop tested openstack packages
Juju: Cloud deployment, integration, scaling, upgrading
LXD: Pure-containerhypervisor
MAAS: Metal-as-a-Service for bare-metal provisioning
DockerKubernetes: Container coordination
Containers (Docker)
6
Kubernetes
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Cloud
Elastic hybrid cloud
Public Clouds
Public Clouds
Bulk compute data center
Edge
Transactional Edge ( IoT )
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First things first – Bare metal
maas.ioKey to Private DC Economics is Automation
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MAAS Feature MatrixUser Interfaces
● Web● REST API● CLI● Python
Operating Systems
● CentOS 6, 7● RHEL 6,7● Ubuntu● Windows 2003, 2010● Custom
BMC protocols
● IPMI● AMT● Redfish*
Chassis support
● Cisco UCS● Microsoft OCS● Seamicro 15K● HP Moonshot
VM Controllers
● KVM Virsh● PowerKVM● vSphere
Disk layout
● Partitioned● Raw● RAID● LVM● bcache
Host NIC config
● Raw● Tagged VLAN● Bonded● Bridged*
SDDC
● IPAM, DNS and DHCP● Dynamic allocation● Availability Zones
● SSH & BMC credential setup● Auto-enlistment via PXE● Hardware inventory● Auto-tagging ● Custom commissioning● Post-install configuration
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Time from request to VM
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Cloud
>>> from boto import ec2>>> c = ec2.connect('us-west-2')>>> r = c.run_instances(
min_count=3,aws_image_id, instance_type='c1.xlarge')
Metal
RequestProcure
RackFirmwareConfigureInstall OS
LaunchCredentialsAutomation
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The devil in the details
NodeDiscoveryHW inventoryBMCBIOS & firmwareBoot processOS DeploymentDiskless / EphemeralStorage & NetworkingDecommissioning
NetworkDNS, NTP & moreTopology & addressingL2 & L3 config
InfrastructurePDUsSwitches & routersStorage appliances
PXE & TFTPlshwfreeipmifwupdBIOS & UEFIcurtiniSCSIcloud-initNIST-wipe
bind, ntpdIPAMDHCP
DCIMOpenFlowSNMP MIBsVendor stuf
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MAASThe bare metal API
Inventory. Commission. Deploy.
IP, DHCP, DNS, PXE, IPMIready to roll
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4 Web interface and REST API
1 Automated physical provisioning
2 Dynamic allocation to workloads
3 IP Address Management (IPAM)
5 Windows, Linux OS install
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Windows
Custom images
Ubuntu, RHEL, SUSE
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MAASMachine configuration
Applicationmodeling
Operator setup
“Please give me up a machine of ppc64el
architecture, with 24 GB RAM, a root disk of 300GB
and at least 6 more 3TB disks, with an nVidia
GPGPU running Ubuntu.”
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MAAS 2.0Changes the provisioning game
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HA Region Controller(1-3 servers)
- highly available- users and groups- resource allocation- central postgres db- machine inventory
Single view of server status, API endpoint, web UI.
Rack Controller
* ideally on switch* typically in-rack* cache of images* backup for adjacent racks
Provides PXE boot and local OS image delivery for installation.
Rack Controller
100k servers in a Region
Server
Server
Server
Server
Server
Server
Server
Server
Server
Server
Server
Server
Server
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High Availability forRegion & Rack services
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Region
Rack 1 Rack 2 Rack 3
Region○ Region HA
○ Rack HA
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ubuntu.com/lxd
github.com/lxc
linuxcontainers.org
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LXC 2.0 addsthe LXD container hypervisor
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LXD provides machine containers
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Physical Machines
Virtual Machines
Linux Containers
Machine containers
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➢ Ultra fast “vm-lite” guests (bare metal speed)➢ Any distribution of Linux - e.g. Ubuntu, CentOS➢ Starts in less than 1 second➢ 15x density of KVM or ESX for idle workloads
LXD is Canonical’s container hypervisor
host A
nova-lxd lxc cli
lxdkernel
other restful apps
lxc machine
LXD REST API
host B
lxc machine
lxdkernel
host C host D host ...
lxc machine
lxc machine
lxc machine
lxdkernel lxdkernel lxdkernel
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● Lift and shift for existing applications
● Collocation of different workloads on the same node
– Hyper-converged architecture as a default for Canonical OpenStack
● More efficient way of using instances in cloud
– typically an instance in Cloud = VM– Run containers inside an instance
● Instances in cloud implemented as LXC containers
– LXD as a supported hypervisor for OpenStack– 14x greater density with LXD than with VMs (tested on x86), lower latency
LXD – benefits for Cloud
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jujucharms.com
Operate big software at scale on any cloud
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the phase change of modern software
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scarcity has shifted from code to ops
(Are you ready to operate a SW you don’t understand?)
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● Imagine ‘open source operations’– Free, downloadable, driven by the community and/or SW vendors– Reflecting the release changes of the applications to operate– Providing functions like:
● installation/uninstallation● upgrades● configuration management● scale● integration between applications● ‘must to have’ generic and also application specific actions: backup,
restore, pause/restart, ...– ?– reuse operations code in completely different architectures
How to fix it?
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your app
Reuse across clouds
vmware
test and dev vm’s
developer laptop(lxd containers)
gce / azure / oracle
aws
openstackbare metal
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Ubuntu OpenStack
65% of large production OpenStack deployments run Ubuntu
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Canonical OpenStack
14
Nova Horizon
KeystoneCeilometer /Telemetry
Neutron
Ubuntu 16.04 LTS
MAAS
Management & Automation
Infrastructure Services
CinderSwift Glance
Landscape
Juju
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OpenStack Architecture example
Ceph
Swift
Baremetal
Virtual Machine
Linux Container (LXC)
MySQL/1
keystone/1
horizon/1
juju 1
LDS1
Neutron/1
rabbit/1
cinder/1
glance/1
Ceilo/1
MongoDB1
pgsql/1
juju3
LDS2
Neutron/2
keystone/2
MySQL/2
rabbit/2
cinder/2
horizon2
Ceilo/2
MongoDB2
glance/2
pgsql/2
MySQL/0
rabbit/0
keystone/0
horizon/0
juju 0MAAS 1
Neutron/0
cinder/0
glance/0
Ceilo/0
MongoDB0
LDS0
pgsql/0
Nova-KVM Nova-LXD
Ceph
Swift
Ceph
Swift
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Ocata
Kilo
OpenStack Archive Upgrade Guarantee 14.04 14.10 15.04 15.10 16.04 16.10 17.04 17.10 18.04 18.10 19.04
Ubuntu 14.04 LTS
Mitaka LTS
Ubuntu 16.04 LTS 5 years
Juno
Liberty
Icehouse LTS
Mitaka LTS
Newton
5 years
5 years
5 years
5 years
18 months
18 months
18 months
18 months
18 months extra 18 months for customers
extra 18 months for customers
Pike 18 months
Queens LTS
Ubuntu 18.04 LTS 5 years
Queens LTS
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KubernetesCanonical’s distribution of
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easy, stable, latest release of upstream
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any CPU architecture
x86s390x
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extensible by design
NFS
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rich accessory ecosystem
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Why Canonical?
Most popular cloud andcontainer operating system
Launch partner as a KCSP
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Pure upstream, latest & greatest versions
Operates on AWS, Azure, GCE, OpenStack, VMWare
Bare metal operations with MAAS
100% compatible with Google’s Kubernetes
Secured. TLS, Kernel Live patching, confinement
Upgradable between each Kubernetes Release
Cost efective at scale
Why Canonical Kubernetes?
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Support for GPUs
● Automated GPU Discovery
● Live GPU adjustments
● Automated configuration of applications
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*
LXD, Kubernetes & GPUs
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ConclusionCloud Hardware
Single Host Bare Metal Cluster Cloud Cluster Single Host Cloud Cluster
Juju + helm, sudo give me Artificial Intelligence: check!
ARM64
*coming soon to IBM Power
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*
In Summary
➢ Ubuntu #1 Linux for Cloud, ScaleOut, Dev Ops
– >65% Production OpenStack clouds are Ubuntu
– Juju and related cloud tooling supports DevOps speed
➢ Operating on premise with the efficiency and flexibility of a public cloud
– Combine maas, LXD, Juju and OpenStack as needed
➢ Ubuntu on IBM Systems: great Ubuntu experience on IBM Power and IBM Z/LinuxONE
– Global Partnership with IBM
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Canonical & Open Source
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