There is a big (justified) hype around containers and microservices. Indeed, many people speak about the subject but few have implemented a real project. There is also a lot of excellent resources on the web, so there is no need for my additional contribution there.
I just want to offer my few readers another proof that a great solution exists for containers networking, and it works well. Its name is Contiv and you will find evidence in this post and pointers to resources and tutorials.
I will explain it in very basic terms, as I did for Cisco ACI, here and here, because I’m not talking to network specialists (you know I’m not either) but to software developers and designers. Most of the content here is reused from my sessions at Codemotion 2017 in Rome and Amsterdam.
In this first part, we are looking to introduce the concept and what challenges it addresses and in a post soon-to-come, we will take a deeper dive.
When the world moved from bare metal servers to Virtual Machines (VMs), virtual networks were also created and added great value (plus some need for management).
Initially networking was simple
Of course virtual networks make the life of developers and servers managers easier, but they also add complexity for network managers: now there are two distinct networks that need to be managed and integrated. A physical and a virtual one.
Virtual Machines connected to an overlay network
With the advent of containers, their virtual networking layered on top of the VM virtual network (the majority of containers run inside VM for a number of reasons), though there are good examples of container runtime on physical hosts.
So now you have 3 network layers stacked on top of each other, and the need to manage the network end-to-end makes it even more complex.
Containers inside VM: many layers of overlay networks
This increased abstraction creates some issues when you try to leverage the value of resources in the physical environment:
– connectivity: it’s difficult to insert network services, like load balancers and firewalls, in the data path of microservices (regardless the virtual or physical nature of the appliances).
– performances: every overlay tier brings its own encapsulation (e.g. vxlan). Encapsulation over encapsulation over encapsulation starts penalizing the performances… just a little 😉
– hardware integration: some advanced features of your network (performances optimization, security) cannot be leveraged
Do not despair: we will see that a solution exists for this mess.
This short paragraph describes the existing implementation of the networking layer inside the containers runtime.
Generally it is based on a pluggable architecture, so that you can use a plugin that is delegated by the container engine to manage the container’s traffic. You can choose among a number of good solutions from the open source community, including the default implementation from Docker.
At minimal, the networking layer provides:
– IP Connectivity in Container’s Network Namespace
– IPAM, and Network Device Creation (eth0)
– Route Advertisement or Host NAT for external connectivity
There are two main architectures that allow to plug an external implementation for networking: CNM and CNI. Let’s have a look at them.
1. The Container Network Model (CNM)
Proposed by Docker to provide networking abstractions/API for container networking, it is based on the concept of a Sandbox that contains configuration of a container’s network stack (Linux network namespace).
- An endpoint is a container’s interface into a network (a couple of virtual Ethernet interfaces).
- A network is collection of arbitrary endpoints that can communicate.
- A container can belong to multiple endpoints (and therefore multiple networks).
CNM allows for co-existence of multiple drivers, with a network managed by one driver
Provides Driver APIs for IPAM and for Endpoint creation/deletion.
– IPAM Driver APIs: Create/Delete Pool, Allocate/Free IP Address Network
– Driver APIs: Network Create/Delete, Endpoint Create/Delete/Join/Leave
This approach is used by docker engine, docker swarm, and docker compose. It also works with other schedulers that runs standard containers e.g. Nomad or Mesos.
The Container Network Model
2. The Container Network Interface (CNI)
Proposed by CoreOS as part of the APPC specification, used also by Kubernetes.
- Common interface between container run time and network plugin.
- Gives driver freedom to manipulate network namespace.
- Network described by JSON configuration.
Plugins support two commands:
– Add Container to Network
– Remove Container from Network
The Container Network Interface
Many good implementations of the models above are available on the web and you can pick one to complement the default implementation with a more sophisticated solution and benefit from better features.
It looks so easy on my laptop. Why is it complex?
When a developer sets up the environment on its laptop, everything is simple. You test your code and the infrastructure just works (you can also enjoy managing… the infrastructure as code). No issues with performances, security, bandwidth, logs, conflicts on resources (ip address, vlan, names…). But when you move to an integration test environment, or to a production environment, it’s no longer that easy…
IT administrators and the operations team are well aware of the need for stability, security, multi tenancy and other enterprise grade features. So not all solutions are equal, especially for networking.
Let’s discuss their impact on Sally and Mike:
Sally (software developer) – she expects:
- Develop and test fast
- Agility and Elasticity
- Does not care about other users
Mike (IT Manager) – he cares for:
- Manage infrastructure
- Stability and Security
- Isolation and Compliance
These conflicting goals and priorities challenge the collaboration and the possibility to easily adopt a DevOps approach. A possible solution is a Policy-based Container Networking.
Policy based management is simpler thanks to Declarative Tags (used instead of complex commands syntax), and it is faster because you manage Groups of resources instead of single objects (think of the cattle vs pets example).
What is Contiv
Contiv unifies containers, VMs and bare-metal servers with a single networking fabric, allowing container networks to be addressable from VM and bare-metal network endpoints. Contiv combines strong network performance, support for industry-leading hardware, and an application-oriented policy that can move across networks together with the application.
Contiv’s goal is to manage the “operational intent” of your deployment in a declarative way, as you generally do for the “application intent” of your microservices. This allows for a true infrastructure as code management and easy implementation of DevOps practices.
High-level Overview of Contiv
Contiv provides an IP address per container and eliminates the need for host-based port NAT. It works with different kinds of networks like pure layer 3 networks, overlay networks, and layer 2 networks, and provides the same virtual network view to containers regardless of the underlying technology.
It works with all major schedulers like Kubernetes, Docker Swarm, Mesos and Nomad. These schedulers provide compute resources to your containers and Contiv provides networking to them. Contiv supports both CNM (Docker networking Architecture) and CNI (CoreOS and Kubernetes networking architecture).
Contiv has L2, L3 (BGP), Overlay (VXLAN) and ACI modes. It has built in east-west service load balancing. Contiv also provides traffic isolation through control and data traffic.
It can also manage global resources: IPAM, VLAN/VXLAN pools.
Features that make Contiv the best solution for Microservices networking
- Support for grouping applications or applications’ components.
- Easy scale-out: instances of containerized applications are grouped together and managed consistently.
- Policies are specified on a micro-service tier, rather than on individual container workloads.
- Efficient forwarding between microservice tiers.
- Contiv allows for a fixed VIP (DNS published) for a micro-service
- Containers within the micro-services can come and go fast, as resource managers auto-scale them, but policies are already there… waiting for them.
- Containers’ IP addresses are immediately mapped to the service IP for east-west traffic.
- Contiv eliminates the single point of forwarding (proxy) between micro-service tiers.
- Application visibility is provided at the services level (across the cluster).
- Performances are great (see references below).
- It mirrors the policy model that made Cisco ACI an easy and efficient solution for SDN, regardless the availability of an ACI fabric (Contiv also works with other hw and even with all-virtual networks).
I encourage you to have a look and test it yourself using the tutorial.
It’s easy and not invasive at all, seeing is believing 🙂
In the next post we will take a deeper dive at the architecture with some examples.
- Contiv download – github.com/contiv/install/releases
- Contiv documentation – contiv.github.io
- Contiv tutorial – http://contiv.github.io/documents/tutorials/index.html
- Contiv Blogs – blogs.cisco.com/tag/contiv
- Recorded demo – https://www.youtube.com/watch?v=55s4wAVbTM4
- Cisco DevNet community – https://developer.cisco.com/site/contiv/videos/index.gsp
- Join Contiv Slack to get support – contiv.herokuapp.com
- Contiv on Docker Store – https://store.docker.com/plugins/803eecee-0780-401a-a454-e9523ccf86b3?tab=description
- My Contiv session at Codemotion Rome 2017:
- Video on youtube: https://www.youtube.com/watch?v=Ngjff3pu93w
- Slides: https://t.co/v3D18AoSBk
- Great performances with Contiv – http://contiv.github.io/articles/2016/03/06/scaling-microservices.html
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