Transcript Cloud Workload

Architecting Your Cloud: Lessons Learned
from 100 CloudStack Deployments
Speaker:
Shannon Williams
Vice President Market Development, Cloud Platforms
EMEA contact:
Olivier Maes
Sr Dir Market Development EMEA, Cloud Platforms
[email protected], twitter: @omaes72
Cloud computing in 10 years
• Computing clouds will have
standardized
• Servers/Storage/Networking will be
commodities available on demand.
• Applications will be designed to
leverage distributed computing
resources
• Key questions won’t have changed
ᵒ
ᵒ
ᵒ
ᵒ
Application Performance
Application Reliability
Infrastructure Security/Compliance
Operational Costs
Goal: Deliver applications
quicker with more reliably
at a fraction of the
current cost.
Cloud computing today
• Start-ups and Web Companies are
achieving the 10-year vision today
ᵒ Standardizing on big public clouds (Amazon,
Softlayer, BT, Terremark, etc.)
ᵒ Designing applications that can leverage
distributed availability zones for reliability
• Enterprises are generally not leveraging
cloud computing
ᵒ Most apps aren’t written for distribution
ᵒ Security/Compliance concerns over
leveraging shared resources
ᵒ Proven mechanism for delivering apps
remains standard.
Goal: Provide improved
access for developers
and operators.
Today’s goal: provide a basic understanding of
different cloud architectures
• Outline a process for defining a cloud
• Describe the building blocks used to
deploy a computing cloud
• Look at traditional workloads and cloud
workloads
• Consider architectures that meet a
broad set of requirements
Since 2008 CloudStack has powered hundreds
of clouds
• Secure, multi-tenant cloud
orchestration platform
– Turnkey platform for delivering IaaS clouds
– Hypervisor agnostic
– Highly scalable, secure and open
– Complete Self-service portal
– Open source, open standards
– Deploys on premise or as a hosted solution
Since becoming part of Apache CS has exploded
“It's just amazing! In just 3 months,
CloudStack has gone directly to the
same level as OpenStack is. This is
much steeper community growth
than I could have predicted (if
anyone had asked me for
predictions, that is...).
Source: Cloudstack has proof: Foundations is the way
to create a FOSS community
http://openlife.cc/blogs/2012/july/cloudstack-hasproof-foundations-way-create-foss-community
WINDOWS
ON-DEMAND
DEV
& TEST
DISASTER
RECOVERY
BRIDGE &
GATEWAY
BYO
PLATFORM
INFRASTRUCTURE
YOUR
SERVICE
CloudPortal
NetScaler
CloudPlatform
CloudBridge
Powered by Apache CloudStack
ESX Hyper-V
XenServer
KVM OVM
VIRTUALIZATION
Compute
Network
Storage
CloudPortal Delivers Cloud Apps & the Business Logic
Account
Management
Pricing &
Billing
Self Service
Cloud Apps
Customer
Relationship
Dashboard
Authentication
Account S elf Service
Product Definition
Sales CRM
Usage Reporting
Account Provisioning
Delegated Account
Management
Catalog Management
Ticketing /
HelpDesk
Messaging
Customer
Management
Usage Tracking
Community
Forums
Alerts
Account Management
Cloud Management
User Roles
Portal Administration
Billing
Flexible and
Extensible SDK
Service Status
Service Status
Payment Processing
CloudPortal
Plugins
Content Management
Customer Relationship
Billing
Authentication
Liferay
Salesforce.com
Zuora
CAS (LDAP/AD)
Drupal
Each cloud drives unique requirements
Service Providers
9
Web 2.0
Enterprise
Architecture definition is a process
IaaS Cloud
Define target workloads
Determine how that workload will be delivered reliably
Determine the necessary functionality and performance
Develop your technical architecture
Implement your environment
Workload categories give us a starting point
Traditional
Enterprise
Applications
Disaster
Recovery
Software
Development,
Testing and
Maintenance
Social Media
Applications
Managed IT
Services
Batch processing
11
High Performance
Computing
Possible to categorize workloads into two sets
Cloud Workloads
Traditional Workload
Reliable hardware, backup entire
cloud, and restore for users when
failure happens
Cloud Workload
Tell users to expect failure.
Users to build apps that can
withstand infrastructure failure
Both types of workloads must run reliably in the cloud
RPO (Recovery Point Objective)
Reliability & DR are Workload Specific
$
$$
2
• Recovery Point Objective (RPO) and
1
Regular
Recovery Time Objective (RTO) should be
determined based on workloads
• Deployment and DR plan should be
designed per RPO, RTO requirements
$$
3
Critical
Mission
Critical
RTO (Recover Time Objective)
• Different types of workloads will achieve
workload reliability in different ways
Workload reliability drives unique requirements
Traditional Workload
Cloud Workload
Link Aggregation
VM Backup/Snapshots
Storage Multi-pathing
Ephemeral Resources
VM HA, Fault Tolerance
Chaos Monkey
VM Live Migration
Multi-site Redundancy
Expect reliability. Back-up entire cloud.
Admin controlled failure handling
Think Server Virtualization 1.0
Expect failure. Design app for failure.
Self-service failure handling
Think Amazon Web Services
Other functionality will impact design as well
VM Features
• Resizing
• High Availabity
• Cloning
• Monitoring
• Windows
Support
• Linux Support
• Naming
• Grouping
• Security
Networking
Features
Storage
Features
Template
Management
Management
Features
• Dedicated user
networks
• Integrated
Firewall
• Integrated
Load Balancing
• IP Address
Management
• Multiple Guest
Networks
• VPN
Termination
• Intrusion
Prevention
• Persistent
Storage
• Ephemeral
Disk
• Automated
Disk Snapshots
• Cloud Storage
access
• Disk
Monitoring
• Encryption
• Master
Template
Library
• User Template
upload
• User ISO
upload
• Blank VM
creation
• Private
templates
• Template
migration
• Delegated
Administration
• Live Migration
of VMs
• Live Migration
of Storage
• Usage
Metering
• User Interface
• Console Access
• MultiHypervisor
• Open-Source
• MultiDatacenter
Every cloud starts with basic building blocks
Servers
Storage
Networking
Networking
Server
Clusters
Server
Clusters
Server
Clusters
Storage
Hypervisor
Resources
Availability Zones
Clouds
Two sample zone architectures
-
Traditional server virtualization zone
Amazon-Style availability zone
Designing a zone for a traditional workload
Hypervisor
Feature Rich– vSphere, vCenter
vCenter
Storage
Enterprise Networking (e.g., VLAN)
ESXi
Cluster
ESXi
Cluster
ESXi
Cluster
Enterprise Storage (e.g., SAN)
SAN
Networking
L2 VLANs
Network Services
Load Balancing
PV-LANs
Multi-tier Apps
Multi-tier VLANs
OVF
Designing a zone for a traditional workload
• Can achieve significant reliability for
applications running in one zone.
vCenter
Enterprise Networking (e.g., VLAN)
ESXi
Cluster
ESXi
Cluster
ESXi
Cluster
Enterprise Storage (e.g., SAN)
• Reliability of individual nodes is very high.
• All zone storage is replicated to a second
storage platform (synchronous or
asynchronous)
• In event of failure, images are recovered
from second storage array.
• Existing workloads will run reliably.
• Little cost benefit over existing approaches
Designing a zone for an Amazon-style workload
Amazon-Style Availability Zone
Software Defined Networks
(e.g., Security Groups, EIP, ELB,...)
Server
Racks
Server
Racks
Server
Racks
Server
Racks
Hypervisor
Simple - XenServer
Storage
Local
Server
Racks
Server
Racks
Server
Racks
Server
Racks
Server
Racks
Server
Racks
Server
Racks
SDN based L2
Elastic IP
Network Services
Security Groups
Elastic Block Storage
Object store
Networking
L3
Server
Racks
EBS
ELB
GSLB
Multi-tier Apps
L3
SDN based VPC
CloudFormation
Object store is critical for Amazon-style cloud
Amazon-Style Cloud
Amazon-Style Availability Zone
CloudStack
Mgmt. Server
Availability
Zone
Availability
Zone
Object Storage
Software Defined Networks
(e.g., Security Groups, EIP, ELB,...)
Availability
Zone
Server
Racks
Server
Racks
Server
Racks
Server
Racks
Server
Racks
Server
Racks
Server
Racks
Server
Racks
Server
Racks
Server
Racks
Server
Racks
Server
Racks
Elastic Block Storage
Object store is critical for Amazon-style cloud
Amazon-Style Cloud
CloudStack
Mgmt. Server
• Workloads are distributed across
availability zones
• No guarantee on zone reliability
Availability
Zone
Availability
Zone
Object Storage
Availability
Zone
• Applications designed to handle node
level failue
• DBs and Templates snapped to
object store.
• In event of failure, images are
recreated on new availability zone.
• Dramatically less expensive
Cloud Transition – General to Workload specific
Past
General
Architecture
• General architecture for any
workload
• Limited definitive failure/disaster
recovery strategy
• Focused on legacy or cloud app
architectures
Today
Traditional-Style
Amazon-Style
• Workload-centric architecture
• Workload-specific failure/disaster
recovery
• Separate legacy and cloud app
architectures with interoperability
Support for different styles is required
CloudStack
Mgmt. Server
Server Virtualization Availability Zone
vCenter
Enterprise Networking (e.g., VLAN)
Availability
Zone
Availability
Zone
Availability
Zone
ESXi
Cluster
Object Storage
ESXi
Cluster
ESXi
Cluster
Enterprise Storage (e.g., SAN)
Availability zones will be distributed globally
CloudStack Management Cluster
San Jose
London
Hosted Dehli
Miami
Hosted Rio
Tokyo
Availability zones are becoming on-demand
Hosted
On Premise
Private Cloud
Managed
Private Cloud
Enterprise
Data Center
Hosted Private Cloud
Enterprise
Data Center
Dedicated resource
Total control/security
Internal network
Multi-tenant Users
Enterprise
Public
Cloud Services
Multi-tenant Users
3rd party hosted &
operated
3rd party
operated
•
•
•
Federated/Hybrid
Cloud Services
•
•
•
•
3rd party owned and
operated
SLA bound
Security
Dedicated resource
•
•
•
Mix of shared and
dedicated resources
Shared facility and
staff
VPN access
•
•
•
•
Shared resources
Elastic scaling
Pay as you go
Public internet
Key takeaways
1. Understand your workload and the type of cloud you
want to build.
2. Consider the services you will be delivering from the
cloud in the future.
3. Choose a platform and architecture that is flexible
enough to support you today and in the future.
Work better. Live better.