There is no doubt that the cloud has changed the way we run our software. Startups, for instance, can get started without buying expensive hardware and scale flexibly. Also, the cloud has enabled novel solutions such as serverless, managed Kubernetes and Docker, or edge functions. For a time, cloud-native applications seemed to be the way forward for most teams, big or small. But in exchange for all this power, we pay a cost. And it can be a steep one. — the company behind and — has calculated that by buying a few servers and moving from the cloud to on-premise, they can save . 37signals HEY.com Basecamp.com 7 million dollars over 5 years And it is not an isolated case. Recently, Amazon Prime — the poster child of serverless architectures — moved part of its infrastructure from and cut costs by 90%. serverless into a monolith Does this mean that we should go back to bare metal servers like in the old days? Not quite. We can still enjoy many of the benefits of the cloud, like horizontal scalability and no-outage upgrades using containers in combination with an orchestration platform. On that note, 37signals recently released , a tool that allowed them to , saving them money and improving performance for their users. MRSK completely leave the cloud What is MRSK? MRSK is a deployment tool for containerized applications. It uses Docker containers to run the software and Traefik, a reverse proxy and load manager, to perform rolling updates. The application container runs behind an instance of Traefik running as a reverse proxy. User requests are routed to the active application container. MRSK keeps things simple by: Using standard Docker images. Connecting to the servers via SSH. Giving each server a single role. The last point gives us the first clue about how MRSK works. It assumes a multi-server setup, where every machine fulfills only one role. In other words, if your application requires a database, MRSK expects to have at least two servers: one for the application and one for the database. Deploying the application and database with a single MRSK command. MRSK cares about your servers and little else. Load balancing is limited to the server level. MRSK uses Traefik to forward HTTP traffic to every container running on a machine. If you want to do horizontal scaling, you'll need to put a separate load balancer in front of everything. MRSK does not manage multi-server load balancing. You need to add your own. Because MRSK doesn't care where the application runs, you can use a cloud server, on-premise machines, or even run VMs on your laptop to test drive the tool. Getting started with MRSK You'll need the following to build and deploy an application with MRSK: Docker. A Docker Hub account or similar. A software project with its Dockerfile. Two servers with SSH access. : we will need at least one server for each role. A deployment will typically need at least two machines: one for the application and one for the database. Note You cannot host the database on the same machine as the application. Ensure you have SSH access. Before starting, ensure that you have SSH access to the deployment server. It can be any cloud, bare metal server, or even a VM on your laptop. What matters is that it already has your SSH key authorized for root access. $ ssh root@SERVER_IP_ADDRESS If that doesn't work, but you know the root's password, you can add your key with the following command: $ ssh-copy-id root@SERVER_IP_ADDRESS Installing MRSK So, now that we have our server, we can install MRSK on your local machine. Either as a Ruby Gem: $ gem install mrsk -v 0.13.2 Or, you can try the ready-made official Docker image by aliasing the command in your shell like this: $ alias mrsk='docker run --rm -it -v $HOME/.ssh:/root/.ssh -v /var/run/docker.sock:/var/run/docker.sock -v ${PWD}/:/workdir ghcr.io/mrsked/mrsk:v0.13.2' Since MRSK is in active development and quite new, I suggest picking a version and sticking with it to prevent updates from breaking your deployments. Configuring MRSK For this next step, we will need a project to deploy. MRSK works with any codebase as long as it includes a Dockerfile. For this tutorial, I will be using the following demo project, which exposes an API-based address book with PostgreSQL for persistence: TomFern/dockerizing-nodejs In the project's root folder, run: $ mrsk init This will create three files: : the main configuration file. It declares how to deploy the application to all your servers. config/deploy.yml : for sensitive environment variables, including passwords and tokens. It should be added to so it's never checked in the repository. .env .gitignore : contains Git-like hooks. We won't be using any of these features in this tutorial. .mrsk/hooks The building block of MRSK deployments is called , which are containers running in one or more servers. They are connected to the Internet via , a reverse proxy. applications Traefik Let's configure our deployment. To do that, open deploy.yml and edit the following values near the top of the file. Uncomment the lines as needed. You will, at the very least, need to define the following: A name for the application. The server IP address. This will be your application server. The Docker image name without the tag. Your Docker Hub username (you can also use a different registry). In the registry.password add "DOCKER_PASSWORD". This is a reference to a variable defined in .env. Environment variables for the application. The values under clear are stored in plaintext. Passwords should be stored in .env, and their variable name should be listed under secret in the config file. I'm configuring an "addressbook" application in the example below. Its image name is TomFern/addressbook (notice the lack of tags, which are handled by MRSK). My application uses a PostgreSQL database, for which I set to the IP address of the db and reference the variable containing the password in . DB_HOST .env service: addressbook
image: tomfern/addressbook

# Deploy to these servers.
servers:
 - 216.238.101.228

# Credentials for your image host.
registry:
 username: tomfern
 password:
 - DOCKER_PASSWORD

# Environment variables
env:
 clear:
 DB_HOST: 216.238.113.141
 secret:
 - DB_PASSWORD MRSK can handle containerized dependencies like databases, caches, or search services. MRSK calls them . If you need to define an accessory, scroll down the config file until you find the section. Then, set the following values: accessories accessories The db engine image name with its tag, e.g. . postgres:14 The db server IP address and the database port. Any secrets or environment variables needed for database initialization. One or more volume mappings for data persistence — so data is not wiped out when the container stops. You can also define startup scripts to run during database initialization. The following snippet shows how to configure a PostgreSQL database accessory for our demo app: accessories:
 db:
 image: postgres:14
 host: 216.238.113.141
 port: 5432
 env:
 secret:
 - POSTGRES_PASSWORD
 volumes:
 - /var/lib/postgresql/data:/var/lib/postgresql/data Now, open the file. Fill in the password of your Docker Hub account and for the "Postgres" user in your PostgreSQL server. The value of every secret environment variable defined in must be set here. .env deploy.yml DOCKER_PASSWORD=YOUR_DOCKER_HUB_PASSWORD
POSTGRES_PASSWORD=THE_POSTGRES_ADMIN_PASSWORD
DB_PASSWORD=THE_ADDRESSBOOK_APP_PASSWORD You may use the same password for and or create a dedicated user for the app in the database. If you do so, you'll also need to define in the config file like this: POSTGRES_PASSWORD DB_PASSWORD DB_USER service: addressbook
image: tomfern/addressbook

# ...

env:
 clear:
 DB_HOST: 216.238.113.141
 DB_USER: my_app_username
 secret:
 - DB_PASSWORD Add a healthcheck route By default, MRSK checks that the application container is up by running curl on the route. You can change the healthcheck endpoint in the config file. /up Since the demo does not have a healthcheck route, let's add one. In , add the following lines: app.js // app.js

// ....

const healthRouter = require('./routes/health');
app.use('/up', healthRouter);

// ... And create a new file called with the following content, which checks if the app can connect with the database: routes/health.js // routes/health.js


const express = require('express');
const router = express.Router();
const db = require('../database');

router.get("/", function(req, res) {
 db.sequelize.authenticate()
 .then(() => res.status(200).send(JSON.stringify({ ok: true })))
 .catch( err => res.status(500).send(JSON.stringify(err)));
});

module.exports = router; MRSK uses curl inside the container to perform the healthcheck, so ensure that your Dockerfile installs the tool. For example: FROM node:18.16.0-alpine3.17
RUN apk update && apk add curl

... Prepare servers and deploy We're set to begin with the deployment. MRSK can do everything with a single command: $ mrsk setup

Acquiring the deploy lock
Ensure curl and Docker are installed...
Log into image registry...
Build and push app image...
Ensure Traefik is running...
Start container with version c439617 using a 7s readiness delay (or reboot if already running)...
Releasing the deploy lock This command does the following: Installs Docker on all machines. Starts Traefik in the app server. Starts the PostgreSQL container in the database server. Builds the Docker image for your application on your laptop and uploads it to Docker Hub. Pulls the image and starts the application on the server. Routes inbound traffic into the application container. MRSK runs a health check to verify that the application is ready to work before being exposed to the Internet. Once the check passes, Traefik routes traffic into the app's container. By default, the health check is a GET request to the route (expecting status code 200), but you can change that in . /up deploy.yml MRSK deployment mechanism. The image is built into the developer's machine, uploaded to Docker Hub, and pulled into the server. Then, a health check ensures it starts correctly. Once verified, Traefik routes traffic into the application container. We can check what containers are running with the following: $ mrsk details

Traefik Host: 216.238.101.228
CONTAINER ID IMAGE COMMAND CREATED STATUS PORTS NAMES
5d08d56b760b traefik:v2.9 "/entrypoint.sh --pr…" 2 minutes ago Up 2 minutes 0.0.0.0:80->80/tcp, :::80->80/tcp traefik

App Host: 216.238.101.228
CONTAINER ID IMAGE COMMAND CREATED STATUS PORTS NAMES
28acfd2cda02 tomfern/addressbook:3ecd87430ab7ab6cc30a1542784ddb75fbfd8e74 "docker-entrypoint.s…" 2 minutes ago Up 2 minutes 3000/tcp addressbook-web-3ecd87430ab7ab6cc30a1542784ddb75fbfd8e74


CONTAINER ID IMAGE COMMAND CREATED STATUS PORTS NAMES
a843852686b6 postgres:14 "docker-entrypoint.s…" 2 minutes ago Up 2 minutes 0.0.0.0:5432->5432/tcp, :::5432->5432/tcp addressbook-db As you can see, MRSK tags every built image with a unique identifier, allowing us to track changes, rolling back and forwards as needed. Before testing the application, we should run any database migration/setup scripts to initialize its contents. MRSK allows us to run commands in running containers with the following: $ mrsk app exec "npm run migrate" Finally, we can test the application, which should be ready to receive user requests. $ curl -X PUT http://216.238.101.228/persons -H 'Content-Type: application/json' -d '{
"id": 1,
"firstName": "David",
"lastName": "Bowie"
}'

$ curl 216.238.101.228/persons/all
{
 "firstName": "David",
 "lastName": "Bowie",
 "id": 1,
 "updatedAt": "2023-04-30T22:44:29.115Z",
 "createdAt": "2023-04-30T22:44:29.115Z"
} Deploying updates with MRSK Let's make a change to the application so we can see how MRSK handles updates. In the demo code, we have a API endpoint; it would be a good idea to version it. So let's change this line in : /persons app.js app.use('/persons', personsRouter); Change the line so the base endpoint route is . /persons/v1/ app.use('/persons/v1', personsRouter); The fastest way to update the container is with , which does away with a few tasks like checking whether Docker is installed in all servers. mrsk redeploy $ mrsk redeploy

Acquiring the deploy lock
Running docker buildx build
Running docker image rm --force tomfern/addressbook:7db892 on 216.238.101.228
Running docker pull tomfern/addressbook:latest on 216.238.101.228
Health check against /up succeeded with 200 OK!
Finished all in 35.8 seconds
Releasing the deploy lock The redeploy command will rebuild the image, upload it to Docker Hub and start it on the application server. As soon as the health check passes, the traffic is routed to the new version, and the old container shuts down. MRSK redeploy mechanism. A new instance of the application is built and deployed. Once its health check passes, traffic is routed to the new instance, and the old one is shut down. After deployment, we can check that the new route is working: $ curl 216.238.101.228/persons/v1/all

[
 {
 "id": 1,
 "firstName": "David",
 "lastName": "Bowie",
 "createdAt": "2023-05-07T17:41:45.580Z",
 "updatedAt": "2023-05-07T17:41:45.580Z"
 }
] Rolling back updates with MRSK MRSK gives us a safe path for rolling back updates. If the new version is causing trouble, we can return to the last working version with a single command. To rollback, first, we need to find which images are available on the server with the following: $ mrsk app containers

App Host: 216.238.101.228

CONTAINER ID   IMAGE                                                          COMMAND                  CREATED         STATUS                     PORTS      NAMES

f648fec5f604   tomfern/addressbook:66347a86f8a123e35492dd43463540c23f7db892   "docker-entrypoint.s…"   4 minutes ago   Up 4 minutes               3000/tcp   addressbook-web-66347a86f8a123e35492dd43463540c23f7db892

b3b1d13b8a1c   9500e07b6387                                                   "docker-entrypoint.s…"   9 minutes ago   Exited (1) 4 minutes ago              addressbook-web-66347a86f8a123e35492dd43463540c23f7db892_05d41f3ba39d2b1b

ce4a5c31e6fc   tomfern/addressbook:f043325e3984ec245a94b21bd236afcc537a9739   "docker-entrypoint.s…"   3 hours ago     Exited (1) 9 minutes ago              addressbook-web-f043325e3984ec245a94b21bd236afcc537a9739 We can see that the previous version was tagged as "f043325e3984ec245a94b21bd236afcc537a9739". We can run to go back to it. For example: mrsk rollback $ mrsk rollback f043325e3984ec245a94b21bd236afcc537a9739 If the container does not exist on the server — MRSK routinely prunes older images — you can always look up the last good version in Docker Hub or by checking the logs in your CI/CD platform. MRSK rollback mechanism. The old version is restarted and health-checked. Once working, traffic is switched over to the old version, and the new container stops. Once you're done with your application, you can remove everything, including the database, with mrsk remove. This will destroy the database, remove Docker and stop all applications. MRSK’s limitations MRSK development is ongoing, so we may expect behavior changes and new breaking features in the future. But do not mistake its newness for immaturity; 37signals has reportedly begun using it to move away from the cloud with great success already. That being said, there are a few things MRSK cannot do, and that makes it a bad fit for some use cases: The default behavior is to expose the application's HTTP port without SSL. You are supposed to set up an SSL terminator, a load balancer, or a CDN in front of the whole deployment. Containers cannot communicate between themselves within the same server. This is . You can always configure Docker networks server-side manually. But it's better to stick to one server per role, so putting the application and the database on the same machine is a bad idea. by design You will need to configure a firewall in front of your whole setup to ensure users can only access the web application. If you want to distribute the load among many servers, you should set up a load balancer in front of your servers. MRSK does not provide this feature. MRSK is designed for each server to have one role and does not provide load balancing or SSL termination. You need to handle it by yourself. At the end of the day, MRSK offers a simplified workflow — especially when compared with beasts like Kubernetes — by not trying to handle every aspect of the system. Troubleshooting If you experience issues with deployment, try the following: If the healthcheck fails, ensure that curl is installed in the application container image. If it still fails after ensuring curl is installed, check that connectivity works between the application and the database. You may need to configure a VPS or set firewall rules. You can try starting the images manually by running the docker exec commands in the machines to see the output of the logs. These will help you find the root cause of the problem. If you get an error message stating that there is a lock, run mrsk lock release. This can happen when MRSK fails during deployment, and the admin lock is not released. Conclusion MRSK is minimalistic to the point of elegance. By combining traditional servers with the flexibility of containers, it allows us to run our containerized services with ease on any server. MRSK presents a compelling solution if you're seeking to optimize your software deployments, reduce vendor lock-in, and maintain flexibility in choosing deployment environments while enjoying the benefits of cloud-native architectures. Also published . here

Hot off the press! This story contains factual information about a recent event.

Word Embeddings: The Secret Sauce to Giving Your ChatBot Context For Better Answers

Read My Stories

Too Long; Didn't Read

Make resilience your competitive advantage

Unlocking Freedom from the Cloud: Empower Your Apps with MRSK's Optimal Orchestration

About Author

Comments

TOPICS

THIS ARTICLE WAS FEATURED IN

Related Stories

Untitled Story

Using Function Calling to Integrate Your GPT Chatbot With Anything

105 Stories To Learn About K8s

10 Ways to Future-Proof Your Business With Cloud

10 Ways to Reduce Data Loss and Potential Downtime Of Your Database

10 Upcoming DevOps Conferences for 2018

Using Function Calling to Integrate Your GPT Chatbot With Anything

105 Stories To Learn About K8s

10 Ways to Future-Proof Your Business With Cloud

10 Ways to Reduce Data Loss and Potential Downtime Of Your Database

10 Upcoming DevOps Conferences for 2018

Light-Mode

Classic

Newspaper

Dark-Mode

Neon Noir

Minty

HN StartUps