Accelerate Cloud Native with FD.io
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1 Accelerate Cloud Native with FDio Naoyuki Mori, Ping Yu, Kinsella Ray, Hongjun Ni Intel
2 Agenda FDio*: Cloud native acceleration framework Acceleration of Envoy with FDio* TCP and QAT Acceleration of Load Balancing with FDio* LB Summary
3 Orchestration & Controller Ligato Data Plane Services Dataplane Management Agent Data-plane Management Honeycom Networking-VPP b Contiv-VPP Analytics trex Packet Processing Packet Processing NSH_SFC DMM PMA Tools P4VPP Sandbox GoVPP Testing /Support CSIT VPP trex Network IO Operating Systems deb_dpdk OSV Packaging rpm_dpdk 3
4 FDio* VPP Overview Universal data plane Layer 2 4 Network Stack CP, TM, Overlays and more Linux (and FreeBSD) support Kernel Interfaces (Netmap, FastTap) Container and Virtualization support Appliance, Infrastructure, VNF & CNF Fast, Scalable and Deterministic L2XC Mpps per core Deterministic 0 packet drops, ~15µs latency Continuous & extensive latency testing Scalability Linear scaling with core/thread count Supporting millions of concurrent L[2,3] tables entries Extensible Modular Design Architecture Pluggable, easy to understand & extend Mature graph node architecture Plugins Full control to reorganize the pipeline Fast, plugins are equal citizens Developer friendly Runtime counters for everything ( throughput, ipc, errors etc ) Full pipeline tracing facilities Multi-language API bindings VPP command line introspection SDN Integration Netconf/Yang REST BGP Management Agent Packet Processing: VPP Graph Nodes
5 FDio VPP The Magic of Vectors Compute Optimized SW Network Platform 1 Packet processing is decomposed into a directed graph of nodes vhost-userinput af-packetinput dpdk-input 2 packets move through graph nodes in vector Packet 0 Packet 1 3 graph nodes are optimized to fit inside the instruction cache Microprocessor arp-input cdp-input lldp-input mpls-input l2-input ip4-lookup* ip4-lookupmulitcast ethernetinput ip4-input -nochecksum ip6-input Packet 2 Packet 3 Packet 4 Packet 5 Packet 6 Packet Instruction Cache Data Cache interfaceoutput ip4-loadbalance mpls-policyencap ip4-rewritetransit ip4- midchain * Each graph node implements a micro-nf, a micro-networkfunction processing packets Packet 8 Packet 9 Packet 10 4 packets are pre-fetched into the data cache Vector on Vector for amplified performance (?) Makes use of modern Intel Xeon Processor micro-architectures Instruction cache & data cache always hot Minimized memory latency and usage
6 Applications Network Function are Virtualization changing to Cloud
7 FDio Cloud Native Strategic Engagements Cloud Native Computing Foundation Envoy - Infrastructure - TCP/TLS Integration Lab Envoy - TCP/TLS Integration Commercial Product - Cisco Container Platform - More Cloud Native Technologies Contiv-VPP LIGATO Production-Grade Container Orchestration Performance-Centric Container Networking Cloud-native NF Orchestration Cloud-native NF Agent platform Containerized Fast Data Input/ Output Enabling Production-Grade Native Cloud Network Services at Scale
8 FDio Cloud Architecture: Contiv Can deliver complete container networking solution entirely from userspace Replace all eth/kernel interfaces with memif/userspace interfaces Apps can add VCL library for Higher Performance (bypass Kernel host stack and use VPP TCP stack) Legacy apps can still use the kernel host stack in the same architecture K8s Master High Performance Apps Legacy Apps Cloud-Native VNFs Contiv-VPP Netmaster Cloud-Native VNFs Legacy Apps High Performance Apps Envoy Sidecar Ap p Ap p V NF Kubelet Contiv-VPP Etcd Kubelet V NF Ap p Ap p Envoy Sidecar VPP TCP Stack Kernel Host stack tapv2/veth memif CNI CRI K8s policy & state distribution CNI CRI memif Kernel Host stack tapv2/veth VPP TCP Stack VPP Contiv-VPP vswitch Agent Agent VPP Contiv-VPP vswitch IPv4/IPv6/SRv6 Network
9 FDio Cloud Architecture: Ligato Kubernetes does not provide a way to stitch micro-services together today Ligato allows you to wire the data plane together into a service topology All services (apps and network functions) run in the same L2 domain Network functions can now become part of the service topology Define Services K8s Master Define Topology SFC Controller High Performance Apps Legacy Apps Cloud-Native VNFs Contiv-VPP Netmaster Envoy Sidecar Ap p Ap p Agent V NF Kubelet Contiv-VPP Etcd Ligato Etcd VPP TCP Stack Kernel Host stack tapv2/vet h memif CNI CRI VPP Agent Contiv-VPP vswitch IPv4/IPv6/SRv6 Network
10 FDio Cloud Architecture: TCP Acceleration VPP TCP Host Stack VPP Hoststack is a high performance L4 implementation in SW VCL Library, directs the TCP bit stream to FDio VPP TCP Streams are aggregated in FDio VPP Best-in class TCP/UDP Performance in Software; applying DPDK SW optimization techniques Features: TCP in client & server (active/passive) modes Common TCP options; MSS, timestamp, wnd scaling, s/ack Common TCP features; ddos protection, delayed ack, congestion Support for Cut-Through, Namespaces, Session Tables and TLS Also support for other Layer 4 protocols such as UDP, SCTP New novel approaches to accelerating TCP!
11 Istio/Envoy for cloud native Industry is moving toward a highly distributed microservices architecture Network should be transparent to applications Services are decoupled from each other and communicate with a common service language Data plane is composed of a set of intelligent proxies (Envoy) deployed as sidecars These proxies mediate and control all network communication between microservices, a generalpurpose policy and telemetry hub The control plane manages and configures the proxies to route traffic *Other names and brands may be claimed as as the property of of others
12 Re-architect Envoy network stack with Intel ingredient Envoy Envoy RX FIFO TX FIFO boringssl Session interface Session interface Socket and POSIX C library Kernel space TCP IP User space Kernel space Openssl TLS User space TCP/IP DPDK input VPP Openssl TLS User space TCP/IP DPDK output User space
13 Transparent TLS TLS engine between App session and transport layer TLS is transparent to application just like one of session protocol such as TCP, UDP or SCTP TLS application registers key and certification via API and requests TLS as session transport Besides that, every goes like TCP
14 Building a Scalable Crypto Engine Vector Packet Processing makes TLS transparent to the application QAT Accelerates the Crypto Algorithm Quick Assist Technology QAT Intel hardware acceleration engine to offload crypto Asynchronous enabling to maximize HW performance QAT QAT
15 Network Functions with FDio VPP * Discrete Appliances, VNFs & CNFs Universal CPE Data Plane L2 Switch VLAN / Q-in-Q L3 Router Control Plane Netconf/Yang BGP TR-069 Broadband Network Gateway Data Plane L2 Switch L3 Router Classification Control Plane Netconf/Yang BGP NAT IKEv2 hqos ACL (mac, ip, port) ACL IPSEC TM (Policing, Metering) Cloud Load Balancer Data Plane Bonding VLAN / Q-in-Q NAT ACL (backlist) Control Plane OpenStack LBaaS K8s Kube-Proxy Intrusion Prevention System Data Plane L2 Switch L3 Router Classification NAT Control Plane Netconf/Yang BGP TM (Policing, Metering) ACL (mac, ip, port) L4 Load Balancer
16 External Load Balancer Router, Load Balancer and Service Proxy are supported on VPP On Router, will enable ECMP feature VPP Load Balancer distributes traffic and encapsulates packets via GRE tunnel On K8s node, it removes GRE tunnel and goes through Service Proxy to distribute traffic to chosen pod
17 Multithread Support: Ingress traffic VPP-based Service Proxy ETH IP Worker 0 - N N I C [packets] Queue 0 DPDK Input Eth Input ACL Load Balancing DNAT IP-Lookup IP- Rewrite Vhost Memif [packets] Queue 1 Queue 2 RSS [packets] DPDK Input DPDK Input Eth Input Eth Input ACL ACL Load Balancing DNAT IP-Lookup Load Balancing DNAT IP-Lookup IP- Rewrite IP- Rewrite Vhost Memif Vhost Memif RSS enables traffic associated with one connection to a given thread Load balancing and connection track redirects traffic to a chosen pod Check out Yahoo! JAPAN* VPP LB use case session!
18 Summary FDio* is robust and commercially deployed networking stack for cloud native acceleration Intel IA platform is devoted to contribute and accelerate FDio*
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