on Container Networking

Over lay
Under lay 

The

Lee Calcote
March 2nd, 2017

Lee Calcote

clouds, containers, infrastructure, applications  and their management

Show of Hands

Container Networking

 

...it's complicated.

Preset Expectations

Reliability & Performance

  • same demands and measurements
  • developer-friendly and application-driven

  • simple to use and deploy for developers and operators

better or on par with  existing

virtual data center networking

Experience & Management

Intent-based networking

Preset Expectations

 

 

 

 

 

 

 

 

 

 

 

 


 

Container Networking Specifications

Very interesting

but no need to actually know these

...is a specification proposed by Docker, adopted by projects such as libnetwork


 

Plugins built by projects such as Weave, Contiv, Calico, Plumgrid  and Kuryr.

 

...is a specification proposed by CoreOS and adopted by projects such as rkt, Kurma, Kubernetes, Cloud Foundry, and Apache Mesos.

 

Plugins created by projects such as Weave, Project Calico, Plumgrid, Midokura and Contiv.

Container Networking Specifications

Container Network Model
Specification

Local Drivers

Docker Runtime

Bridge

Container Network Model (libnetwork)

Remote Drivers

None

Overlay

Third-party

Container Network Model
Topology

Network Sandbox

Endpoint

Network

Container

Network Sandbox

Endpoint

Container

Network Sandbox

Endpoint

Container

Endpoint

Network

Docker Engine

Network Driver

Network Driver

IPAM Driver

Microsegmentation - traffic is not relayed

Container Network Interface
Specification

Container Runtime

Container Network Interface
(CNI)

Loopback
Plugin

Bridge
Plugin

PTP
Plugin

MACvlan
Plugin

IPvlan
Plugin

Third-party
Plugin

Container Network Interface
Flow

 

  1. Container runtime needs to:

    1. allocate a network namespace to the container and assign a container ID

    2. pass along a number of parameters (CNI config) to network driver.
       

  2. Network driver needs to:

    1. attach container to a network

    2. then, report the assigned IP address back to the container runtime (via JSON schema)

CNI Network

                                
                                    {
                                        "name": "mynet",
                                        "type": "bridge",
                                        "bridge": "cni0",
                                        "isGateway": true,
                                        "ipMasq": true,
                                        "ipam": {
                                            "type": "host-local",
                                            "subnet": "10.22.0.0/16",
                                            "routes": [
                                                { "dst": "0.0.0.0/0" }
                                            ]
                                        }
                                
                            

(JSON)

CNI and CNM

Similar in that each...

  • ...are driver-based ( pluggable ), and therefore
    • democratize the selection of which type of container networking 
  • ...allow multiple network drivers to be active and used concurrently

    • each provide a one-to-one mapping of network to that network’s driver

  • ...allow containers to join one or more networks.

  • ...allow the container runtime to launch the network in its own namespace

    •  segregate the application/business logic of connecting the container to the network to the network driver.

       

CNI and CNM

Different in that...

 

 

  • CNI supports any container runtime
    • CNM only support Docker runtime
  • CNI is simpler, has adoption beyond its creator
  • ​CNM acts as a broker for conflict resolution
    • ​CNI is still considering its approach to arbitration

Types of Container Networking

  • None
  • Links and Ambassadors
  • Container-mapped
  • Bridge
  • Host
  • Overlay

 

  • Underlay
    • MACvlan
    • IPvlan
    • Direct Routing
    • Point-to-Point
    • Fan Networking

 

bridge

eth0

eth1

container

container

container

Host

None

good ol' l0
 

container receives a network stack, but lacks an external network interface.

 

it does, however, receive a loopback interface.

Links

  • facilitate single host connectivity
    • "discovery" via /etc/hosts or env vars

Ambassadors

  • facilitate multi-host connectivity
    • uses a tcp port forwarder (socat)

Web Host

MySQL
Ambassador

PHP

DB Host

PHP
Ambassador

MySQL

link

link

Bridge

Ah, yes, docker0
 

  • default networking for Docker
  • uses a host-internal network
  • leverages iptables for network address translation (NAT) and port-mapping

Container-Mapped

one container reuses (maps to) the networking namespace of another container.

may only be invoked when running a docker container (cannot be defined in Dockerfile):

 

--net=container=some_container_name_or_id

 

Host

container created shares its network namespace with the host

 

suffers port conflicts

 

secure?

better performance
 

easy to understand and troubleshoot
 

default Mesos networking mode

Overlay

use networking tunnels to delivery communication across hosts

 

  • Most useful in hybrid cloud scenarios
    • or when shadow IT is needed
  • Many tunneling technologies exist
    • VXLAN being the most commonly used
  • ​Requires distributed key-value store

K/V Store for Overlays

BYOKV?

  • Docker -

    • 1.11 requires K/V store

    • built-in as of 1.12

      • uses raft implementation from etcd

      • uses gomemdb and Serf from HashiCorp

  • WeaveNet - limited to single network; does not require K/V store

  • WeaveMesh - does not require separate K/V store

  • Flannel -  requires K/V store

  • Plumgrid - requires K/V store; built-in and not pluggable

  • Midokura - requires K/V store; built-in and not pluggable

  • Calico - requires K/V store
  • NSX - requires K/V store
  • Romana - requires K/V store
  • Cilium - requires K/V store

Underlays

expose host interface(s) directly to container(s)

 (e.g. the physical network interface at eth0)

  • Point-to-Point
  • MACvlan
  • IPvlan
  • Direct Routing
  • Fan Networking

not necessarily public cloud friendly

Point-to-Point

default rkt networking mode

  • Uses NAT (IPMASQ) by default
  • Creates a virtual ethernet pair
    • placing one on the host and the other into the container pod
  • leverages iptables to provide port-forwarding for inbound traffic to the pod
  • internal communication between other containers in the pod over the loopback interface

Internet

MACvlan

  • allows creation of multiple virtual network interfaces behind the host’s physical interface

  • Each virtual interface has unique MAC and IP addresses assigned

    • with restriction: the assigned IP address needs to be in the same broadcast domain as the physical interface

  • eliminates the need for the Linux bridge, NAT and port-mapping

    • allowing you to connect directly to physical interface

       

                                
                                    switchport port-security mac-address sticky ​
                                
                            

IPvlan

  • allows creation of multiple virtual network interfaces behind a host’s physical interface​

  • Each virtual interface has unique IP addresses assigned​

    • Same MAC address used for all containers

  • L2-mode containers must be on same network as host (similar to MACvlan)

  • L3-mode containers must be on different network than host

    • Network advertisement and redistribution into the network still needs to be done.

MACvlan and IPvlan

  • While multiple modes of networking are supported on a given host, MACvlan and IPvlan can’t be used on the same physical interface concurrently.

  • ARP and broadcast traffic, the L2 modes of these underlay drivers operate just as a server connected to a switch does by flooding and learning using 802.1d packets

  • IPvlan L3-mode - No multicast or broadcast traffic is allowed in.

  • In short, if you’re used to running trunks down to hosts, L2 mode is for you.

  • If scale is a primary concern, L3 has the potential for massive scale.

Direct Routing

  • Benefits of pushing past L2 to L3

  • resonates with network engineers

  • leverage existing network infrastructure

  • use routing protocols for connectivity; easier to interoperate with existing data center across VMs and bare metal servers

  • Better scaling

  • More granular control over filtering and isolating network traffic

    • Easier traffic engineering for quality of service

  • Easier to diagnose network issues

Fan Networking

a way of gaining access to many more IP addresses, expanding from one assigned IP address to 250 more IP addresses

  •  “address expansion” - multiplies the number of available IP addresses on the host, providing an extra 253 usable addresses for each host IP

  • Fan addresses are assigned as subnets on a virtual bridge on the host,

    • IP addresses are mathematically mapped between networks

  • uses IP-in-IP tunneling; high performance

  • particularly useful when running containers in a public cloud

    • where a single IP address is assigned to a host and spinning up additional networks is prohibitive or running another load-balancer instance is costly

Fan Networking

Network Capabilities and Services

 

IPAM, multicast, broadcast, IPv6, load-balancing, service discovery, policy, quality of service, advanced filtering and performance are all additional considerations to account for when selecting container networking that fits your needs. ​

 

IPv6 and IPAM

IPv6

  • lack of support for IPv6 in the top public clouds

    • reinforces the need for other networking types (overlays and fan networking)

    • some tier 2 public cloud providers offer support for IPv6

IPAM

  • most container runtime engines default to host-local for assigning addresses to containers as they are connected to networks.

  • Host-local IPAM involves defining a fixed block of IP addresses to be selected.

  • DCHP is universally supported across the container networking projects.

  • CNM and CNI both have IPAM built-in and plugin frameworks for integration with IPAM systems

Docker 1.12 (Load-balancing)

  • Swarm and multi-host networking are simpatico

    • user-defined overlay networks that are micro-segmentable

    • uses Hashicorp's Serf gossip protocol for quick convergence of neighbor tables between hosts

    • facilitates container name resolution via embedded DNS server (previously via etc/hosts)
       

  • Load-balancing based on IPVS

    • expose Service's port externally; L4 load-balancer
       

  • ​Mesh routing​

    • ​send a request to any one of the nodes and it will be routed automatically

    • send a request to any one of the nodes and it will be internally load balanced

a massive leap forward

with a small step back - a cluster-wide namespace for port publishing

Docker Overlay - VXLAN overlay


Calico - L3 w/optional encapsulation


Flannel - VXLAN or UDP Overlay


Weave Net - VXLAN or UDP Overlay


Canal - VXLAN or UDP Overlay


Romana - L3


Cilium - L3 w/optional encapsulation


Trireme - L3 w/TLS


Contiv - L2, L3 (BGP), VXLAN Overlay


Open vSwitch -


VMware NSX - VXLAN UDP Overlay


SolarWinds - All


Big Switch -


Midokura -


Nuage -


PLUMgrid -


OpenContrail -

Container Networking Solutions

See additional research.

  • Nearly all are open source

  • Use a variety of technologies

    • VXLAN

    • UDP Overlay

    • L2

    • L3

      • with or w/o TLS

      • BGP

    • IP routed

Project

Container Network Performance Tool

Contact for early access. Learn more -

https://github.com/solarwinds/containers​

Preview

Project

Container Network Performance Tool

Cluster visibility -

See container network flows (current bandwidth and direction) across Kubernetes and Docker Swarm nodes.

Bandwidth test -

Test throughput (performance) of each type of container network (compare network drivers).

Choose wisely -

Be aware of the cost of overlay convenience.

Avoid MAC address overload in underlays.

Preview

Lee Calcote

Thank you. Questions?

clouds, containers, functions,

applications and their management