cloud architecture Archives

This article is aimed at people who are traditionally used to running production environments Bare Metal, or using a single VPS to host their sites/platforms. People who now need to understand the practical considerations of hosting their application in a more scalable way.

For the purpose of this article I am going to assume the application in question is Laravel based, realistically this isn’t particularly relevant (save for the fact that you need to be able to control your configurations across all servers).

I will soon be writing some case studies about the work I have done at various assignments, but for now this is all based on experience, but strictly hypothetical.

Additionally, to keep things simple for the purposes of this article, I am going to talk about Digital Ocean, and assume we are using their services. Whilst we all know that essentially AWS is the monarch of cloud scalability, at an entry level Digital Ocean is easier to cost and manage.

This article is not a deep dive! It just outlines, at a very high level, the things one would need to consider before moving to this kind of setup.

Our considerations

A brief list of the things that we need to be thinking about

Serving web traffic
Running the Laravel Schedule (cron)
Running Queue Workers
MySQL
Queue Driver (I tend to use Redis)
Cache Driver (again, I tend to use Redis – but the File driver will not work in this instance)
Log Files
Sessions (I tend to use either database or Redis, depending on the application, but as always, the File driver will not work in this instance)
User-uploaded files, and their distribution
Backups
Security / Firewalling

Digital Ocean Implementation Overview

For the purpose of this article we’re going to spin up a number of resources with Digital Ocean to facilitate our application. In the real world you will need to decide what resources you need.

3x Web Servers
1x Processing Server
1x Data Server
1x Load Balancer
1x Space

Annotations on the above

Something that is worth taking note of, early doors, is that your servers are expendable at any given time. If you kill a web server, your application should survive.

In the real world, I would suggest that you use a managed MySQL and Redis (or Cache + Queue driver) service, to mitigate your risk on those droplets, making all of them expendable.

Notes on other tools

I personally would always recommend, in this environment, using Continuous Integration to test your application, and using Merge requests to ensure that anything which finds its way into a deployable branch (or a branch from which versions will be tagged) is as safe as it can be.

I would also advise Test Driven Development (TDD) because this is probably the only way you really know that you have 100% test coverage.

I am going to come onto deploying to your environment at the bottom of this article.

Part 1: Building Your Servers

It makes good sense to build the base requirements of your server into an image/snapshot/etc (depending on your provider), and then your redistribution process is much easier, because you can spin up your servers/droplets/instances based on that image.

Whilst the Data Server does not need to have any application knowledge, the others will all need to have your chosen version of PHP and any required extensions that your application needs to run.

Once you’ve built the first server, take a snapshot of it, with SSL certificates and such.

I would advise running supervisor on this server, to ensure that Apache / nginx (or your chosen web server) stays running all the time, to minimise and mitigate downtime.

Part 2: Serving Web Traffic

Whether you are using Digital Ocean, Amazon Web Services, or any other provider; they all offer Load Balancers. The purpose of a Load Balancer is to balance the load, by distributing your web traffic to the servers available. This means that in times of peak traffic you can add more web servers to handle the traffic (this is known as horizontal scaling – the opposite of vertical scaling which is where you upsize your servers).

So, build the servers that you need, and make them capable of serving web traffic. Then fire up a Load Balancer, and you can assign these droplets to your load balancer.

Once you have done this, point your DNS to point to the Load Balancer, so that it can distribute the traffic for that domain.

If you are using CloudFlare, make sure you forward port 443 (SSL) to port 443, and set the SSL to parse-through, so that the handshake between destination server, load balancer, and browser can succeed.

Now that you have web servers, you need to make sure that you have the backing to fulfil this.

Part 3: Running the Laravel Schedule (cron tasks) and Queue Processors

You do not want to run the cron on your web servers. Unless, of course, your desired effect is to have the job running X amount of times per interval (where X is the amount of web servers you are running).

For this kind of background processing, you want another server, which is where the processing server comes in. This is the server which is going to do all of your background processing for you.

This server needs to be able to do all the same things that your web servers can do, except it just won’t be serving web traffic (port 80 for HTTP and port 443 for HTTPS).

This is the server on which you will run either artisan queue:work or artisan horizon, it’s the same server which you’re going to be running your schedule on too. Of course, this could be separated out to different servers if that works better for your use case.

Part 4: Data Server (MySQL and Redis)

As I say, I personally would be looking for managed solutions for this part of my architecture. If I was using AWS then, of course, they have Elasticache and RDS to handle these problems for you. If you’re using Google Cloud, they also have a Relational Database service.

Or, you build a droplet to host this stuff on. If you host on a droplet, ensure you have arranged adequate backups! Digital Ocean will do a weekly backup for a percentage of the droplet’s cost. If you need to backup more frequently, I’ll cover this off later on,

This server needs to have MySQL (make sure to remove the Bind Address) and Redis (take it out of protective mode, and make any modifications as required). Install these, get them running, and if necessary set up how Redis will persist and the resource limits/supervision for MySQL.

Part 5: Log Files

If, as they should be, log files are an important part of your application, you want to get them off your servers as soon as possible. Cloud servers are like cattle, you must be prepared to kill them at a moment’s notice. If you’re going to do that then you need the logs (which may contain useful information about why the server died) to not be there when you nuke them into oblivion.

There are loads of services about to manage this. Though what I will say is that it is just as easy to run an Artisan command to migrate them to Digital Ocean Spaces periodically. Space start at $5/month. AWS S3 Buckets are also exceptionally cost effective.

The key point here is, don’t leave your log files on the web or processing servers for any longer than you need to.

Part 6: Interconnectivity

Quick side note here, when you are dealing with Droplet-to-Droplet communications, use their private IPs, which are routed differently, thus faster and don’t count towards your bandwidth limits.

Part 7: Sessions

I am only going to touch on this really quickly. You need to be using a centralised store for your session (Redis or MySQL work perfectly well), otherwise (unless you are using sticky sessions*) your authentication and any other session/state dependant functionality will break.

Sticky sessions are great, but be careful if you are storing session information on the local web server (the one the client is stuck to) and that web server goes down, because the assumption on any web server is that anything stored on it is ephemeral.

Part 8: User Uploaded Files

Your application may well have user uploaded files, which need to be distributed. We know by now that they cannot be stored on any of the web servers due to their ephemerality.

On this one I would advise use whatever stack you’re using, in this example we’re using Digital Ocean, so use Spaces (which is essentially file storage + CDN). If you’re using Amazon Web Services use AWS S3 bucket(s), with CloudFront for the CDN aspect.

Configure your driver(s) as appropriate to use Digital Ocean Spaces, which is S3 compatible. Your user uploaded files still work as they always did, except they will no longer be stored in storage/* for reasons I’ve probably reiterated half a dozen times in this article.

Also make sure than any public linking you’re doing, to article or profile images, for example, is respecting the appropriate CDN location.

Part 9: Backups

It is almost impossible for me to describe how your backups should work, as I don’t know your environment. However, Spaces and S3 are both cost effective, and are where I would advise you store your backups.

Depending on how you want to backup, there are 101 ways to take those backups. But nothing (logs don’t count) from your web servers should be backed up, they should only contain the necessary configurations to serve traffic.

Your files, theoretically, are unlikely to need backing up either, because they are sitting within a managed service, and if you have used manage MySQL / Redis / etc services then you don’t need to back them up either!

Part 10: Kill enemies with fire (firewalling)

If you’re using Digital Ocean, Firewalls are just included, but whatever solution you are using your security policies need to reflect the work your servers are doing, roughly outlined below.

Web servers need to accept port 80 (HTTP) and port 443 (HTTPS) traffic, but only from your Load Balancer
Your Data Server (assuming MySQL and Redis) need to accept port 3306 (MySQL) and port 6379 (Redis) traffic, but only from the processing and web servers
Your Processing Server should not accept any traffic from anywhere
You may wish to put exceptions in for your deployment tool, and potentially your own IP address so that you can shell into your servers, view MySQL and such

Part 11: Deployments

Personally, I love Envoyer, I think it’s brilliant. But the key point to take away with deployments in this scenario is that it can no longer be done manually.

If you have 3x web servers + 1x processing server, you cannot shell into all 4 and do git pull and git checkout and all that stuff, you need to manage that process for you properly.

If you use Envoyer, there are loads of resources out there on how to get it set up just right for your application, but the key point is you cannot just do it by hand.

Your deployment process should be capable of running without you (Continuous Deployment) following successful Continuous Integration, for example when a merge request is successfully merged into Master, you may wish to deploy straight to your production servers.

Deployments will need to cover NPM/Yarn dependencies, composer dependencies, and anything else your application needs to worry about, perhaps migrations, or clearing views, caches, and configs.

You will also need to know how you are going to deploy environment changes (a change of MySQL host address, for example) to your servers instantaneously.

Part 12: Manual Stuff

If, for any reason, you need to run anything manually, like Artisan commands, then you would log into your processing server and run them there.

Ideally you would never need to do this, of course. But it is worth noting how you would go about doing this.

Links

Good afternoon everyone

Today I am going to give a super-quick recipe to get your first EC2 up and running; if you’ve worked with virtual or dedicated servers before the cloud architecture thing can feel a bit overwhelming, or if you’ve not had to manage your own environments before. In any case, as you don’t get to install your own OS it can feel disorientating as you’r

This guide does not encourage best practices, it’s simply enough to get you running.

I am assuming you already have a rough understanding of what an EC2 is, and have signed up for your AWS account.

Go to the AWS EC2 dashboard
Click “Launch Instance”
Click the “Select” button for the top row (Amazon Linux 2 AMI (HVM), SSD Volume Type)
You now have some options to configure your instance, for the purposes of this article, I’m simply selecting t2.micro which is a free-tier general purpose EC2 – when you are setting up production environments, make sure you actually read through these options and select the appropriate decisions
Click “Configure Instance Details” in the bottom right corner
There are a whole bunch of options here which, of course, are really important for production EC2, however explaining these options are outside of the scope of this quick-start guide
Click “Add Storage Details” in the bottom right corner
Here you can configure the details of the storage you want your EC2 to have, for the purposes of this guide I’m going to keep the default 8gb (as I’m not going to need anything more than that)
Click “Add Tags”, here you can add some tags to your instance for management and administrative purposes, again, this is out of scope for this tutorial
Click “Configure Security Group”, from here you can configure the security policies around your EC2
You will see a single rule configured for port 22 (SSH) connections, which allows all inbound traffic. I would advise changing the source. You can either do “My IP” which will detect and utilise your current IP, or you may wish to add further rules for multiple IPs/nets
I am making the assumption you want to allow HTTP traffic to connect to your EC2 – click “Add Rule” in the bottom left, and select HTTP (this will allow inbound connections on port 80), if you want to allow HTTPS traffic (let’s be honest, all traffic should be HTTPS, it’s 2018) then you’ll need to add that rule, too, as it will allow traffic on port 443
Continue adding rules as appropriate to allow connections to your instance
Now you can “Review and Launch” – confirm your details and hit “launch”
When you hit launch you will be prompted to either create a new key/value pair, or to utilise an existing one. Select new (which you will need to do unless you’ve set up one with AWS previously)
Wait for your instance to be launched

Okay, so you now have an instance, and you’re going to want to do some stuff with it, presumably. All we’re going to do is shell into the server, and install Apache; then we’re going to point a DNS record so that web traffic hits that EC2.

Check the box next to your corresponding EC2 and you’ll get some details in the bottom panel
Click connect in the top bar and you’ll see some details, something like
```
ssh -i "the-name-of-your.pem" ec2-user@ec2-xx-xx-xxx-xxx.eu-west-2.compute.amazonaws.com
```
Making sure that the .pem file is pointing to the location you’ve stored your file from point 15 above. Now you will be shelled into your server.
You will be prompted to fire a yum update
```
sudo yum update
```
I find the following steps get annoying unless I su to root
```
sudo su root
```
Install your web server
```
yum install httpd
```
Throw in a very simple virtual host declaration, just to accept web traffic (as I say – this is not best practice, it’s just to get you with a web-facing EC2!)
```
nano /etc/httpd/conf/httpd.conf
```

At the bottom of this file add something that looks roughly like this

<VirtualHost *:80>
    ServerName your.domain.or.the.ec2.provided
    DocumentRoot /var/www/html
</VirtualHost>

Now you have a vhost to accept some web traffic, come out of nano and start httpd
```
service httpd start
```
Make sure the appropriate DNS records are set to point to either the IP address or CNAME set to the AWS subdomain (or you’re host file hacked)
Visit the domain name you set in point 7 above

Voila! Very simple, not production ready, but you do now have an EC2 running and accepting web traffic, on the domain/subdomain of your choosing.

Until next time
JTC out