How To Build An Openstack Cloud System



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Transcription:

Open Cloud Networking Vision The state of OpenStack networking and a vision of things to come... Dan Sneddon Member Technical Staff Twitter: @dxs OCS 2.0 Public Cloud Benefits Private Cloud Control Open Cloud Economics Bay Area Network Virtualization Meetup Dec 2012 CCA - NoDerivs 3.0 Unported License - Usage OK, no modifications, full attribution 1

Our Journey Today 1. Cloudscaling Introduction 2. Elastic Clouds and Private Hybrid Clouds 3. Advanced Networking 4. Future Vision 5. Network-Based Service Resiliency 2

Elastic Clouds Bay Area Network Virtualization Meetup Dec 2012 CCA - NoDerivs 3.0 Unported License - Usage OK, no modifications, full attribution 3

Two Cloud Infrastructure Models 4

Two Cloud Infrastructure Models 1 Enterprise Virtualization Legacy Apps 4

Two Cloud Infrastructure Models 1 Enterprise Virtualization 2 Elastic Infrastructure Legacy Apps New Dynamic Apps 4

Elastic Cloud vs Enterprise Virtualization Enterprise Virtualization Elastic Cloud Applications Traditional & Legacy Dynamic Scaling Architecture Managed Silos Horizontal Technology Stack Heavy & Proprietary Distributed & Open Price/Performance Low High (4-7x better) Failure Domains Large Small Provisioning Slower & Manual Faster & 100% API Best For: Server consolidation and lower datacenter mgmt costs On-demand, scale-out infrastructure for new apps 5

Public Elastic Clouds Are Not Enough Why? Loss of control/governance Security concerns Integration w/ existing systems Data privacy/patriation issues Expensive at scale Limited performance options Geographic reach

Wanted: Private Elastic Clouds Dynamic Applications Public Benefits Private Control 7

Wanted: Private/Public Federation Private Public common architecture & behavior 8

Wanted: Open Economics/Choice No vendor lock-in Open source software Standard interfaces Commodity hardware Community/rapid innovation 9

Can I Build A Private Elastic Cloud Myself? Yes, but painfully Highly complex Costly to build and maintain Not where the value is No innovation path Not production-grade Requires special skills 10

Our Solution: Open Cloud System Bay Area Network Virtualization Meetup Dec 2012 CCA - NoDerivs 3.0 Unported License - Usage OK, no modifications, full attribution 11

Our Product Open Cloud System 2.0 Powered by The most reliable, scalable and production-grade solution for private elastic clouds powered by OpenStack technology. 12

OpenStack Elastic Cloud Compute Block Storage Object Storage Advanced Networking Nova Cinder Swift / Hadoop Quantum 13

Production-Grade Focus Performance Availability Security Maintainability Can the system guarantee quality of service, responsiveness, scalability, and economic performance? Does the system offer redundancy, resiliency, fault isolation, graceful degradation, and scale-out engineering? Are best practices of default deny, least privilege, a minimal attack surface, and encryption/data privacy followed? Does the system provide a reliable upgrade path for new enhancements & system updates, transparency & measurability of performance, comprehensive lifecycle management, and predictable behavior? 14

OCS is Production OpenStack OCS is more than just software... it s OpenStack release synchronicity, Cloudscaling innovations, a compelling roadmap, community involvement & production support from a team with deep operational experience. Virtual Machines (Nova) Object Storage (Swift) VM Image Management (Glance) OCS is open core software that tracks the OpenStack release cycle closely. Identity Service (Keystone) Hardware Lifecycle Mgmt Future Topology & Data Model Block-based Architecture Security Hardening Scale-Out Networking Service Redundancy Public Cloud Compatibility Essex Folsom OpenStack ecosystem contributions aws-compat, zeromq-rpc-driver, nova-gerrit-monitor, tarkin, cs-nova-simplescheduler, sheep 15

Advanced Networking Bay Area Network Virtualization Meetup Dec 2012 CCA - NoDerivs 3.0 Unported License - Usage OK, no modifications, full attribution 16

OCS Advanced Networking Layer 3 Networking Plugin Distributed NAT Service Network Definition API Tenant Isolation Distributed Load Balancing 17

Distributed NAT Service 18

Brokerless Messaging With ZeroMQ Avoiding RabbitMQ s Single Point Of Failure Nova-Compute Single Point Of Failure RabbitMQ Broker Nova-Scheduler RabbitMQ (Brokered) Nova-API 19

Brokerless Messaging With ZeroMQ Avoiding RabbitMQ s Single Point Of Failure Nova-Compute Nova-Compute Single Point Of Failure RabbitMQ Broker Nova-Scheduler RabbitMQ (Brokered) Nova-API Nova-Scheduler vs. Nova-API ZeroMQ (Peer To Peer) 20

Quantum Development Bay Area Network Virtualization Meetup Dec 2012 CCA - NoDerivs 3.0 Unported License - Usage OK, no modifications, full attribution 21

OpenStack Networking Nova Manages VMs, Quantum Manages Network 22

Quantum Architecture Unified Open APIs For Advanced Networking * Image From OpenStack Documentation 23

Quantum in Folsom (2012) Layer 3 plugin to Nova Networking DHCP service plugin Network Address Translation (NAT) No overlapping IP assignments Very limited multi-tenant security 24

Quantum in Grizzly (2013) Complete Rewrite of Quantum API (v3) Security Group Enhancements Distributed Firewall Configuration API Distributed Load Balancer Services API VPN Services API Better integration with OpenFlow Controllers 25

Quantum Compatibility Lots Of Choices For Virtual Network/SDN Providers Open vswitch. http://www.openvswitch.org/openstack/documentation Nicira NVP. quantum/plugins/nicira/nicira_nvp_plugin/readme and http:// www.nicira.com/support. Midokura. http://www.midokura.com/midonet/openstack/ BigSwitch. http://www.bigswitch.com/sites/default/files/sdn_resources/ openstack_aag.pdf Cisco. quantum/plugins/cisco/readme and http://wiki.openstack.org/ciscoquantum Linux Bridge. quantum/plugins/linuxbridge/readme and http:// wiki.openstack.org/quantum-linux-bridge-plugin Ryu. quantum/plugins/ryu/readme and http://www.osrg.net/ryu/ using_with_openstack.html NEC OpenFlow. http://wiki.openstack.org/quantum-nec-openflow-plugin 26

Network Virtualization Bay Area Network Virtualization Meetup Dec 2012 CCA - NoDerivs 3.0 Unported License - Usage OK, no modifications, full attribution 27

Network Virtualization Use Case Isolation and Network Tunnels in Multi-Tenant VM Host 28

Origin Of Virtual Networking It makes more sense if you know where it came from Despite the appearance of new technologies, virtual networking and SDN have been around a long time Prior to the latest protocols, virtual networking was achieved through creative use of VLANs, proxies, dynamic routing, GRE tunnels, and expect scripts. MPLS was an attempt by Cisco and the telcom providers to do managed virtual networking SDN isn t new either, e.g. Ciscoworks, NetConf, Opnet 29

Future Of Virtual Networking A few bold predictions Increased adoption of OpenFlow is an obvious inevitability The biggest change on the horizon: virtualized hardware OSS soon to be a viable option for elastic cloud networking Networking will be about programming, not configuring It is already easier to do virtual networking at scale, but soon it will also be cheaper, leading to massive disruption 30

The Path To The Future Virtualizing network hardware: VRFs, VM support on routers, VXLANs, virtual instances SDN needs to be a software and hardware approach, device configuration should be done through common APIs A dramatic shift away from HA and failover, and toward distributed services with smaller failure domains and expectation of failure 31

Service Resiliency Bay Area Network Virtualization Meetup Dec 2012 CCA - NoDerivs 3.0 Unported License - Usage OK, no modifications, full attribution 32

What Do We Mean By HA? We mean what most people mean... Two servers or network devices that look like one 33

HA HA? HA pairs come in a couple flavors Active / Passive 34

HA HA? People like this flavor best, but it s not always possible... Active / Active 35

HA HA HA HA HA?? Many people wish they could get it more like this... HA cluster aka massive operational nightmare 36

What is Scale-out? A B A B C D N A B Scale-up - Make boxes bigger (usually an HA pair) Scale-out - Make moar boxes 37

Scaling out is a mindset Scaling up is like treating your servers as pets bowzer.company.com web001.company.com Servers *are* cattle 38

HA Pairs Are an All-in Move They better not fail... 39

Risk Reduction Many small failure domains is usually better 40

Big failure domains vs. small Would you rather have the whole cloud down or just a small bit for a short period of time? Still a scale-up pattern... wouldn t you rather scale-out? 41

What s Usually an HA Pair in OpenStack? Everything... Service Endpoints (APIs) Messaging System (RPC) Worker Threads (e.g. Scheduler, Networking) Database (MySQL) 42

What needs to be an HA pair? Not much needs state synchronization Service Endpoints (APIs) Messaging System (RPC) Worker Threads (e.g. Scheduler, Networking) Database (MySQL) 43

Traditional HA Pair Failover 44

Traditional HA Pair Failover 45

Fault Tolerance Methodologies 46

Fault Tolerance in OCS 47

Service Distribution High Availability Without Compromise Resilient Stateless Scale-out 48

Service Distribution Combines Standard Networking Technologies OSPF /etc/quagga/ospfd.conf router ospf ospf router-id 10.1.1.1 network 10.1.255.1 area 0.0.0.0 Anycast /etc/quagga/zebra.conf interface lo:2 description Pound listening address ip address 10.1.255.1/32 Load- Balancing Proxy /etc/pound/pound.conf ListenHTTP Address 10.1.255.1 Port 8774 xhttp 1 Service BackEnd Address 10.1.1.1 Port 8774 End BackEnd Address 10.1.1.2 Port 8774 End End End 49

Resilient OpenStack Horizontally Scalable, No Single Point Of Failure Service Distribution ZeroMQ Service Endpoints (APIs) Messaging System (RPC) Service Distribution Worker Threads (e.g. Scheduler, Networking) MMR + HA Database (MySQL)

Service Distribution Advantages What Makes This a Superior Solution? True horizontal scalability with no centralized controller Services are always running, failover is nearly instant Reduced complexity, fewer idle resources No need for separate load balancers Server Server Server Server Server Server Server... Failover vs. Distributed Services 51

Site Failover and Global LB Service Distribution Works With Multiple Sites Traditional HA pairs do not support cross-site resiliency Service Distribution fail across sites without DNS redirections 52

Service Distribution in Action Example: Distributed Load Balancing 1) OSPF OSPF Router(s) OSPF advertisement OSPF advertisement V Quagga Quagga HTTP Proxy HTTP Proxy 53

Service Distribution in Action Example: Distributed Load Balancing 1) OSPF OSPF Router(s) 2) ECMP Per-flow Load Balancing 3) Load-balancing HTTP Proxy OSPF advertisement V Quagga Per-Flow Load Balancing OSPF advertisement Quagga HTTP Proxy HTTP Proxy 54

Service Distribution in Action Example: Distributed Load Balancing 1) OSPF OSPF Router(s) 2) ECMP Per-flow Load Balancing 3) Load-balancing HTTP Proxy OSPF advertisement V Quagga Per-Flow Load Balancing OSPF advertisement Quagga HTTP Proxy HTTP Proxy 4) Unlimited # of Back-End Servers Server Server Server Server 55

Failure Resiliency Client Client Client Client 1 2 3 4 1 2 3 4 Load Balancer/ Proxy Proxy Load Balancer/ Proxy Load Balancer/ Proxy Load Balancer/ Proxy Server Server Server Server Server Server Server Server Server Server 10% Load Each Server 56

Failure Resiliency Client Client Client Client 1 2 3 4 1 1 2 3 4 X Load Balancer/ Proxy Proxy Load Balancer/ Load Balancer/ Proxy Load Balancer/ Proxy Server Server Server Server Load Balancer/ Proxy Server Server Server Server Server Server 10% Load Each Server 57

Failure Resiliency Client Client Client Client 1 2 3 4 1 2 3 4 Load Balancer/ Proxy Proxy Load Balancer/ Proxy Load Balancer/ Proxy Load Balancer/ Proxy X Server Server Server Server Server Server Server Server Server Server 10% Increased Server Load 58

CCA - NoDerivs 3.0 Unported License - Usage OK, no modifications, full attribution 59