I am deploying my application which contains three services by using Docker Swarm. As what i’ve read so far, Docker Swarm has a load-balancer to distribute container over Worker nodes automatically based on some internal factors. That is cool! but what i really need is a load-balancer which uses a set of parameters provided by me to distribute containers. Is it possible or it is too ambitious?
A set of parameters i mentioned here is obtained by running a script or code which calculate cpu usage, bandwidth, etc. Then its results will be passed to the load-balancer for distributing decision.
Thanks everyone for reading my post.
Yes, this is perfectly possible but you will end up setting whole system on your own. You can also use Nginx for proxy, fetch metrics from docker swarm or prometheus and pass the info to script to generate the upstream in nginx and reload nginx.
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I just started learning swarm recently. And I have some questions about the swarm usage scenario.
If I have a simple webserver which response to some restful HTTP requests，swarm seems to be a good choice because if I need to expand my webserver horizontally, I just need to use docker service scale and the swarm will do load balancing for me.
But what about services that have their own clustering mechanism(Redis, elastic search?)? I cannot simply expand the capacity through the docker service scale`.
For instance, I have a Redis service, if I docker service scale redis=2, two separate Redis services are generated. This is obviously not what I need.
Are these services fit for swarm mode？If so, how to config these services in swarm mode? And how to expand it?
Stateful services (e.g. Redis, RabbitMQ, etc...) fit swarm mode.
It's your responsibility though to configure the cluster manually, by some predeploy/postdeploy script or in images entrypoint.
Such reconfiguration should run also after each replica restart regardless the reason: single replica failures and subsequent restarts, restart of all service replicas, scaling of new replicas.
Content of such script/steps may vary between clustering solutions and one should refer to the relevant documentation of each solution. It maybe as simple as putting replicas virtual ips to configuration file or complex ordered steps.
General use cases that fit all solutions are: configure cluster inside service replicas for the first time, connect single replica back to cluster after failure, restart all replicas after failure/valid restart.
Some github projects try to automate the process. For example mariadb-cluster
Scenario:
There is a container running with image version 1.0 and exposed port 8080 on localhost 80. The new version of the image is available, and there is a need to switch those versions. No, any orchestration tool is running ( Kubernetes, OpenShift etc...).
Is it possible to start a container with version 1.1 make it run without a problem
Please, keep in mind that I don't want to keep it simple, no replication, etc.
Simply docker container with the binded port to localhost.
Questions:
1. Is it possible to switch exposing of port between containers without downtime?
2. If not, is there is any mechanism implemented with docker (free edition) to do such switch?
Without downtime, you'd need a second replica of the service up an running, and a proxy in front of that service that's listening to user requests and routing from one to the other. Both Swarm Mode and Kubernetes provide this capability with similar tools, the port being exposed is indirectly connected to the app via either an application reverse proxy, or some iptables rules and ipvs entries in the kernel.
Out of the box, recent versions of docker include support for Swarm Mode with nothing additional to install. You can run a simple docker swarm init to start a single node swarm cluster in less than a second. And then instead of docker-compose up you switch to docker stack deploy -c docker-compose.yml $stack_name to manage your projects with almost the same compose file. For swarm mode, you'll want to be on version 3 of the compose file syntax.
For a v3 syntax compose file in swarm mode that has no outage on an update, you'll want healthcheck's defined in your image to monitor the application and report back when it's ready to receive requests. Then you'll want a deploy section of the compose file to either have multiple replicas for HA, or at least configure a single replica to have a "start-first" policy to ensure the new service is up before stopping the old one. See the compose docs for settings to adjust: https://docs.docker.com/compose/compose-file/#update_config
For an application based reverse proxy in docker, I really do like traefik, but more to allow me to run multiple http based container services with a single port opened. This allows me to mapping requests based off the hostname/path/http header to the right container, while at the same time giving features to migrate between different versions with weighting of which backend to use so you can do more than a simple round-robin load balancing during an upgrade.
There is no mechanism native to Docker that would allow you replace one container with another with no interruption. On the other hand, the duration of the interruption can probably be measured in milliseconds; whether or not this is really an issue for you depends entirely on your application.
You can get the behavior you want by introducing a dynamic reverse proxy such as Traefik into your configuration. The proxy binds to host ports and handles requests from remote systems, then distributes those requests to one or more backend containers.
You can create and remove backend containers as you please, and as long as at least one is running your application will be available. For your specific use case, this means that you can start the new version of your application first, then retire the old one, all without any interruption in service.
I have a couple of Docker swarm questions (Sorry for not splitting them up but they are all closely related):
Do all instances in a swarm have to run on different machines or can they all run on the same? (if having limited amount of hardware and just wanting to try swarm mode)
Do I have to run swarm mode to be able to communicate between instances?
What is the key difference between swarm mode and just running a number of containers as regular?
What are the options of communication between instances of containers? (in swarm and in regular mode) http? named pipes? other?
If using http communication between containers on same machine, will it be roughly similarly as fast as named pipes?
Is there any built in support for a message bus or similar in Docker?
Is there support for any consensus protocol in Docker?
Are there any GUI's for designing, managing, testing and/or debugging Docker swarms?
Can a container list other containers, stop/restart some and start new ones? (to be able to function as a manager for other containers)
Can a container be given access to OS-features (Linux in my case) to configure for instance a reverse proxy or port forwarding on the WAN?
Background: What I'm trying to figure out is how I should go about and build a micro service mesh using Docker. The containers will be running .NET Core. I'm not too keen on relying too much on specifically Docker since it may not be the preferred tech in a couple of years. What can/should I do with Docker and what can/should I do inside the containers. That's what I'm trying to figure out.
I've copied your questions and tried to answer them.
Do all instances in a swarm have to run on different machines or can they all run on the same? (if having limited amount of hardware and just wanting to try swarm mode)
You can have only one machine in a swarm and run multiple tasks of the same service or in other words your scale of a service can be more than the number of actual machines. I have a testing swarm with a single machine and one with three and it works the same way.
Do I have to run swarm mode to be able to communicate between instances?
You have to run your docker in swarm mode in order to create a service, please see this link
What is the key difference between swarm mode and just running a number of containers as regular?
The key difference afaik is, that when a task goes down, docker puts another task up automatically. And you can easily scale your services, which means you can easily have multiple tasks just by scaling your service (up or down). As of running a container - when it goes down you have to manually start another.
What are the options of communication between instances of containers? (in swarm and in regular mode) http? named pipes? other?
I've currently only tested with a couple of wildfly servers in a swarm, which are on the same network. I'm not sure about others, but would love to find out. I've only read about RabbitMQ, but can't seem to find the link atm.
If using http communication between containers on same machine, will it be roughly similarly as fast as named pipes?
I can't say.
Is there any built in support for a message bus or similar in Docker?
I can't say.
Are there any GUI's for designing, managing, testing and/or debugging Docker swarms?
I've tested rancher and portainer.io, for a list of them I found this link
Can a container list other containers, stop/restart some and start new ones?
I'm not sure why would you want to do that? And I guess it's possible, see this link
Can a container be given access to OS-features (Linux in my case) to configure for instance a reverse proxy or port forwarding on the WAN?
I can't say.
#namokarm did a great job, and I'm filling in the gaps:
Benefits of Swarm over docker run or docker-compose.
All communications between containers has to be TCP/UDP etc. You could force two containers to only run on a single machine, then bind-mount their socket so they skip the network, but that would be a bit of an anti-pattern. Swarm is designed for everything to be distributed and TCP/UDP.
In a few cases, such as PHP-FPM + Nginx, I recommend bundling both in the same container (against docker best practices, but trust me it's easier than separate containers). This will ensure they scale together (1-to-1 relationship) and stay fast since they use local sockets to communicate). I only recommend this for a few setups like this, the other being ColdFusion + Nginx because they are two parts of the same tool that provide a HTTP response... I don't recommend bundling images together in nearly all other cases, but I'm open to ideas :).
Rancher is no longer supporting Swarm. Portainer and SwarmPit are GUI options.
Yes a container running something like Portainer/SwarmPit or controlling the Docker socket through a bind-mount or TCP can control the whole Swarm. This is how all docker management works :)
For reverse proxy, you would run a container-based proxy like Traefik or Docker Flow Proxy, which sets up HAProxy for Docker and Swarm.
Many of these topics are discussed in my DockerCon talks: https://www.bretfisher.com/dockercon18/
I'm trying to figure out whether Docker Swarm or Kubernetes are a good choice for my use case.
Basically, I want to build a small cluster of forward proxies (via squid, nginx or a custom nodejs script), and be able to deploy/start/stop/purge them all together.
I should be able to access the proxy cluster via a single IP address, manager should be able to load-balance the request to a node, and each proxy node must use a unique outgoing IP address.
I'm wondering:
Are Docker Swarm and/or Kubernetes the right way to go about it?
If so, should I set-up Docker Swarm and/or Kubernetes and its worker nodes (running the proxy) on a single dedicated server or separate virtual servers?
Is it also possible for all the cluster nodes to share a file system storage for caching, common config etc.
Any other tips to get this working.
Thanks!
Docker running in swarm mode should work well for this
Run docker on a single dedicated server; I see no need for virtual servers. You could also run the swarm across multiple dedicated servers.
https://docs.docker.com/engine/swarm/secrets/ work well for some settings and configurations. If you require significant storage, simply add a database service to your cluster
Docker swarm mode fits your requirements quite well; requests are automatically balanced across your swarm and each service instance can be configured to have a unique address. You should check out the swarm mode tutorial: https://docs.docker.com/engine/swarm/swarm-tutorial/
I have a small service that is split into 3 docker containers. One backend, one frontend and a small logging part. I now want to start them using coreOS and fleet.
I want to try and start 3 redundant backend containers, so the frontend can switch between them, if one of them fails.
How do i link them? If i only use one, it's easy, i just give it a name, e.g. 'back' and link it like this
docker run --name front --link back:back --link graphite:graphite -p 8080:8080 blurio/hystrixfront
Is it possible to link multiple ones?
The method you us will be somewhat dependent on the type of backend service you are running. If the backend service is http then there are a few good proxy / load balancers to choose from.
nginx
haproxy
The general idea behind these is that your frontend service need only be introduced to a single entry point which nginx or haproxy presents. The tricky part with this, or any cloud service, is that you need to be able to introduce backend services, or remove them, and have them available to the proxy service. There are some good writeups for nginx and haproxy to do this. Here is one:
haproxy tutorial
The real problem here is that it isn't automatic. There may be some techniques that automatically introduce/remove backends for these proxy servers.
Kubernetes (which can be run on top of coreos) has a concept called 'Services'. Using this deployment method you can create a 'service' and another thing called 'replication controller' which provides the 'backend' docker process for the service you describe. Then the replication controller can be instructed to increase/decrease the number of backend processes. You frontend accesses the 'service'. I have been using this recently and it works quite well.
I realize this isn't really a cut and paste answer. I think the question you ask is really the heart of cloud deployment.
As Michael stated, you can get this done automatically by adding a discovery service and bind it to the backend container. The discovery service will add the IP address (usually you'll want to bind this to be the IP address of your private network to avoid unnecessary bandwidth usage) and port in the etcd key-value store and can be read from the load balancer container to automatically update the load balancer to add the available nodes.
There is a good tutorial by Digital Ocean on this:
https://www.digitalocean.com/community/tutorials/how-to-use-confd-and-etcd-to-dynamically-reconfigure-services-in-coreos