Beyond x86: Managing Multi-platform Environments with OpenStack

Platinum Member of OpenStack Foundation Open by Design

Accelerating Enterprise OpenStack

© 2014 IBM Corporation

Beyond x86: Multi-platform management with OpenStack Phil Estes \ STSM & Lead Architect, IBM Cloud Performance Shaun Murakami \ Senior Architect, IBM Cloud Performance

[email protected] @estesp

[email protected] @stmuraka

© 2014 IBM Corporation 2

Open by Design Platinum Member of OpenStack Foundation

Where are you on the OpenStack continuum?

Single-nodeMulti-node

Distributed




Distributed

Single-node deployment All-in-oneDevstack, commonlyPersonal development system



Multi-node deployment Single service instances (no HA)Multiple compute nodesMultiple compute types


Distributed



Distributed deployment Failover service instances (HA)Multiple compute typesHopefully automated/repeatable

Single-node

Distributed

Multi-node



What concepts does OpenStack provide to manage distributed, distributed cloud

deployments?What are cells, regions, and availability zones, and how do I use them?



A cell comprises a single API endpoint for compute, allowing for more fine-grained scheduling across a group of compute nodes

OpenStack Segregation ConstructsCell Region Availability Zone Host Aggregate

Discrete regions contain fully separate API endpoints and provides no coordination between regions. Regions can be used to segregate specific physical geographies or datacenters

Availability zones are used to handle logical separation within your nova deployment for physical isolation or redundancy. Zones are useful for implementing HA patterns at the application level

Host aggregates allow for segregated scheduling given a group of compute hosts with common physical features (e.g. storage backend, specific hardware capability)



OpenStack Segregation Example

Cell

Region 1

Availability Zone 1

Host Aggregate 1

Rack

Controller

Compute

Compute

Compute

Compute

Compute

Compute

Rack

Controller

Compute

Compute

Compute

Compute

Compute

Compute

Availability Zone 2

API VIP

Host Aggregate 2

Region 2

Cell

Availability Zone 1

Host Aggregate 1

Rack

Controller

Compute

Compute

Compute

Compute

Compute

Compute

Rack

Controller

Compute

Compute

Compute

Compute

Compute

Compute

Availability Zone 2

API VIP

Host Aggregate 2



Distributed deployment Multiple platforms ?

Single-node

Distributed

Multi-node



More than 50% of all traditional x86 server workloads virtualized - 451 Research, Gartner

KVMXenHyper-VVMWareDocker

x86_64Architecture Hypervisors



Why do we need other platform architectures in the cloud?

Can’t we finish the migration to cloud on commodity x86 hardware?



Optimization

Systems of Record

Innovation

Systems of Engagement



Customer requirements demand other platform architectures in the cloud.

IBM System z POWER Systems ARM Microservers



Canonical adds ARM 64-bit server support and OpenStack Icehouse in Ubuntu 14.04LTS

KVM64-bit ARMArchitecture Hypervisors

Microservers, while fairly new on the scene, hold promise for significant data center size reduction and energy efficiency. Pooling and shared resource for media serving, among

other uses, have a predicted 62% CAGR over the next four years.



POWER8 LE support added to Canonical’s Ubuntu 14.04LTS; PowerVM supports RHEL and SLES

PowerVMKVM – available 04/14Docker

POWERArchitecture Hypervisors

POWER CPU and memory architecture perfect fit for big data and analytics processing. IBM Watson runs on the POWER architecture; traditional install base in ERP and CRM.



Traditional z workloads transact a large percentage of global financial and enterprise data today

zVM (LPAR) – since 1987zKVMDocker

System zArchitecture Hypervisors

Visa relies on System z for global transaction processing. Holiday season workloads at Visa—handled by System z—reach upwards of 11,000 transactions per second.



IBM System z Performance

Availability

Security

Performance and availability needs require co-locating new zLinux cloud workloads with existing

extreme-throughput transactional systems.

•  Designed for extreme scalability: sharing of high-speed network, CPU, and memory•  Core consolidation rates on average of 30-to-1•  Multi-system clustering; ability to assign 32 physical IFLs per LPAR

•  System z designed from day one with high availability and failover implemented•  System z has highest SLA compliance rate of any platform in existence•  Availability components exposed in all higher “layers” – e.g. Linux networking

•  LPAR design of hypervisor has complete isolation from all other LPARs•  Significant capabilities for logging, monitoring, auditing built into the system



An example: Colocation benefits from zEnterprise architecture"

4 CPUs POWER

Separate Physical Servers

Separate LPARs "Same server

3,650 tps 4,300 tps

WAS Linux DB2 zOS 2 CPUs System z

4 CPUs System z

WAS Linux DB2 zOS 2 CPUs System z

An 18% performance increase!



Challenge: •  Hundreds of standalone servers; constantly increasing IT costs •  Growing system complexity and incompatibility, maintenance and

licensing issues •  Customer service and time to deploy suffering as a result Solution: Consolidate distributed servers and migrated mission-critical SAP and DB2-based applications to an IBM System z running zLinux, zOS & zVM

Consolidation cut energy costs from 40%-80% Baldor: reduced data center floor space from 6,000 to 1,000 sq. ft.

Both experienced significant reduction in system administration and maintenance costs

Customers: Consolidation on z yields significant IT benefits



Incorporating multi-platform compute with OpenStack[ zLinux on OpenStack ] Today Future

OpenStack Controller

x86 Compute (Proxy)

Other x86 Compute

{{Z Regionx86 Region

zLPAR

xCAT

zHCP

zLinux zLinux

- OpenStack region per LPAR - Proxy through an x86 node - Communicates with xCAT to ZHCP - Scheduler and CP provision image


Nova Compute

zLPAR+KVM

zLinux zLinux

Standard nova à libvirt à KVM



Incorporating multi-platform compute with OpenStack[ POWER on OpenStack ] PowerVM POWER KVM


IVM

Linux AIX

Nova Compute

compute_driver=nova.virt.powervm.PowerVMDriver powervm_mgr_type=ivm


PowerKVM

Linux Ubuntu

Nova Compute

Standard nova à libvirt à KVM

-  No HMC Support -  No IVM -  No AIX/i OS images



What next?Where can I find out more about OpenStack on POWER and z?

I (or my customers) already have POWER and/or z hardware? What’s required?

Check out RunAbove, providing OpenStack-accessible POWER8

KVM compute nodes: http://labs.runabove.com/power8/

•  Come talk to us at the IBM booth and check out a POWER8 server •  Check out our OpenStack offerings that fully support managing z and POWER

compute: Cloud Manager with OpenStack and IBM Cloud Orchestrator •  IBM Hosted Orchestrator beta and RunAbove clouds have accessible z and

POWER compute today (SoftLayer will also be offering POWER compute)

•  z10, zEnterprise EC12 and BC12, zEnterprise 114 and 196 hardware all supported, zVM V6.3 or greater •  PowerVM requires POWER7 or POWER8 systems, with IVM •  PowerKVM requires S812L or S822L POWER8 servers only; guests supported: RHEL7 (BE), SLES12 (LE),

Ubuntu 14.04, 14.10 (LE); no support for HMC •  Lots of detailed help and configuration guides available online: https://ibm.biz/BdEqev



IBM Technical Sessions IBM Sessions on Monday, November 3rd 15:20

R.251 When Disaster Strikes the Cloud: Who, What, When, Where and How to recover Ronen Kat, Michael Factor, and Red Hat

11:40 A.Blue IPv6 Features in OpenStack Juno Xu Han Peng, Comcast, and Cisco

15:20 R252 Why is my Volume in 'ERROR' State!?! An Introduction to Troubleshooting Your Cinder Configuration Jay Bryant

16:20 A.Blue Group Based Policy Extension for Networking Mohammad Banikazemi, Cisco, Midokura, and

One Convergence IBM Sessions on Tuesday. November 4th 11:15

R252 The perfect match: Apache Spark meets Swift. Gil Vernik, Michael Factor, and Databricks

15:40 R242 Docker Meets Swift: A Broadcaster's Experience Eran Rom, and RAI

16:40

Maillot User Group Panel: India, Japan, China Ying Chun Guo, Guang Ya Liu, Qiang Guo Tong

14:50 Passe A Practical Approach to Dockerizing OpenStack High Availability Manuel Silveyra, Shaun Murakami, Kalonji

Bankole, Daniel Krook IBM Sessions on Wednesday, November 5th 09:00

R241 Monasca DeepDive: Monitoring at scale Tong Li , Rob Basham, HP and Rackspace

09:00 R242 Beyond 86: Managing multi-platform environments with OpenStack Shaun Murakami, Philip Estes

09:50 R253 Troubleshooting Problems in Heat Deployments Fabio Oliveira,Ton Ngo,Priya Nagpurkar,

Winnie Tsang 11:50

R251 Keystone to Keystone Federation Enhancements for Hybrid Cloud Enablement Steve Martinelli, Brad Topol, CERN, and Rackspace

17:50 R253 Practical advice on deployment and management of enterprise workloads Jarek Miszczyk, Venkata Jagana



IBM Sponsored Sessions on Wednesday, November 5th 9:50 in Room 243

Step on the Gas: See how Open Technologies are driving the future of the enterprise Todd Moore, Director, Open Technologies and Partnerships David Lindquist, Chief Technology Officer / Vice President Strategy and Architecture

11:50 Room 212/213

IBM and OpenStack: Collaborations beyond the code Manuel Silveyra, Daniel Krook

13:50 Room 212/213

A Use Case Driven view of IBM’s OpenStack based Offerings Moe Abdula, Vice President of Cloud Strategy

14:40 Room 212/213

IBM OpenStack Offerings in Action Moe Abdula, Vice President of Cloud Strategy



Learn more at these IBM sponsored sessions on Wednesday: 9:50 Room 243 Step on the Gas: See how Open Technologies are driving the

future of the enterprise 11:50 Room 212/213 IBM and OpenStack: Collaborations beyond the code 1:50 Room 212/213 A Use Case Driven view of IBM’s OpenStack based Offerings 2:40 Room 212/213 IBM OpenStack Offerings in Action

Stop by the IBM Booth (B4) Demos, games and FREE tee

shirt.

Beyond x86: Managing Multi-platform Environments with OpenStack

Software

Transcript of Beyond x86: Managing Multi-platform Environments with OpenStack