I have to deploy a Django API to Digital Ocean, a service that should scale a bit over the next year. I also need a database to save all the data from the users, and I will use Postgres. Recently I saw a lot of video tutorials, official guides from the digital ocean and so on that tell us to use the Postgres that you install on the Droplets "locally" as the database, so install Postgres locally and put all the data there.
It actually can make sense since the droplet I will pay for is about 25 GB that I will never really reach. So, my question was if this approach makes sense at all, or is it better to set up right now a different possibility, like a database on the digital ocean itself?
If I keep these settings, will I be able to easily migrate in the future? Or will it be painful if not impossible? Is there a very good cost-efficient way to do this, or this solution is good enough even for a platform that needs to scale (let's say 100,000 users and a really high amount of requests for each one of them at his prime, maybe in a couple of years)?
Any suggestion is useful.
Then, should I go with venv or Docker? Thank you a lot
Related
This is my first attempt at looking into cloud hosting and I'm feeling like a complete idiot. I have always had my own dedicated server with which I would would remote in and install/manage everything myself. So this cloud thing is completely new for me. I just can't seem to grasp basic things... like how I would get Tomcat and PostgreSQL installed in a way that they could talk to each other or get my domain and SSL cert on there, etc.
If I could just get a feel for where I should start, then I could probably calculate my costs and jump into the free trial where hopefully things will click for me.
Here are my basic, high-level requirements...
My web app running in Tomcat over HTTPS
Let's say approximately 1,000 page views per day
PostgreSQL supporting my web app.
Let's say approximately 10GB database storage
Throughout the day, a fairly steady stream of inbound SFTP data (~ 100MB per day)
The processing load on the app server side should be fairly light. The heaving lifting will be on the DB side sorting through and processing lots of data.
I'm having trouble figuring out which options I would install and calculating costs. If someone could help me get started by saying something like "You would start with a std-xyz-med server, install ABC located here at http://blahblah, then install XYZ located at http://XYZ.... etc.. etc. You can expect to pay somewhere around $100-$200 per month"....
Thoughts?
I would be eternally grateful. It seems like they should have some free sales support channel to ask someone at Google about this, but I don't see it.
Thank You!
I'll try to give you some tips where to start looking.
I will be referring to some products, here are the links
If you want to stick to your old ways, you can always spin up an instance on Compute Engine and set it up the same way you did before, these are just regular virtual machines. For some use cases this is completely valid.
You can split different components of your stack to different products:
For example, if your app is fine with postgresql, you can spin up a fully managed service in Cloud SQL, which might make it easier to manage backup or have several apps access the same db.
Alternatively, have a look at the different DB offerings to see if any of them matches your needed workload better. Perhaps have a look at BigQuery?
If you want to turn your app into a microservice, which is then easier to autoscale and is more fault tolerant, have a look at App Engine. That way you don't need to manage a virtual machine. The docs here will lead you through some easy to follow examples on how to set up SSL.
For the services to talk to each other, refer to docs of the individual components. It's usually very simple.
With pricing, try https://cloud.google.com/products/calculator/
Things like BigQuery have different pricing models - you don't pay for server uptime, but for amounts of data stored & processed with your queries.
Right now the website is running locally and I'm still working on it.
While doing this I also have to make it visible to a specific group of users as I need their feedback in order to add/change features, etc.
I've tried to find a free web hosting without any luck (see dependencies).
I was thinking to create a VPN but then I will have to use my PC as a host for a virtual machine which is by far not what I'm looking for.
Therefore, my questions are:
1. Which is the best way to achieve this (website visibility for TESTING) fast and easy?
2. If a dedicated web host is the best solution, please point me to an easy-to-use and cheap one. What I've tried so far: elastichosts, alwasydata, stackable, 1FreeHosting and probably others I don't remember right now. For a reason or another I couldn't use none of the above.
Another aspect to be considered: I want this only for simple testing and I don't need a lot of server resources. Also the traffic will be very low as there are only 5 testers. That's why I wouldn't pay too much for it. I will probably need this temporary web hosting for 2-3 months.
Dependencies:
- as the website uses mezzanine, for the moment I only need mezzanine's dependencies.
Thanks in advance!
You can always just setup port forwarding on your router. This would allow your testers direct access to your app. Though this might give your PC more exposure than you want.
Heroku has a free tier.
In your non free options, an instance at linode costs $20/month, but requires some setup. Rackspace has similar options in their cloud servers line. Both are no contract servers.
My blogpost covers gracefully deploying a Mezzanine site. The monthly hosting cost is nothing compared to the cost of a slow, painful deployment process.
An EC2 micro-instance right now costs as little as ~US$3.50/month. I create and destroy staging servers on EC2 servers for testing and sharing with others.
I m running my python base REST services on DJango free hosting site called "pythonanywhere".
So far each web service was ~100ms in response thus my frontend was super fast, but last few days response is drastically changed, now for same REST API I am getting 30 seconds.
With above performance I cannot schedule my demo, I am planning to setup new django/python/mysql base environment for myself.
What are the best ways to host/setup Django based application (with mysql), preferably free hosting but I dont mind spending few bucks for better service.
For production deployment setups the recommended deployment is with wsgi.
StackOverflow is not the right place to solicit blanket recommendations especially since you haven't given any idea of what your expected load/usage is.
If you just need something to run your application "online" quickly; a PaaS provider should provide the quickest ramp up time. I have used heroku before and its very simple to get started.
is there someone who has expirience in hosting django applications on ep.io?
Waht are the pros/cons on it?
I'm currently using ep.io, I'm still in development with my app but I have an app deployed and running.
When you use a service like this you go into it knowing that it isn't going to be the perfect solution for every case. Knowing the pros and cons before hand will help set your expectations so that you aren't disappointed later on.
ep.io is still very young and I believe still in beta, and isn't available to the general public. To be totally fair to them, it is still a work in progress and some of these pros and cons may change as they roll out new features. I will try and come back and update this post as the new versions become available, and my experience with the service continues.
So far I am really pleased with what they have, they took the most annoying part of developing an application and made it better. If you have a simple blog app, it should be a breeze to deploy it, and probably not cost that much to host.
Pros:
Server Management: You don't have to worry about your server setup at all, it handles everything for you. With a VPS, you would need to worry about making sure the server is up to date with security patches, and all that fun stuff, with this, you don't worry about anything, they take care of all that for you.
deployment: It makes deploying an app and having it up and running really quickly. deploying a new version of an app is a piece of cake, I just need to run one maybe two commands, and it handles everything for me.
Pricing: you are only charged for what you use, so if you have a very low traffic website, it might not cost you anything at all.
Scaling: They handle scaling and load balancing for you out of the box, no need for you to worry about that. You still need to write your application so that it can scale efficiently, but if you do, they will handle the rest.
Background tasks: They have support for cronjobs as well as background workers using celery.
Customer support: I had a few questions, sent them an email, and had an answer really fast, they have been great, so much better then I would have expected. If you run your own VPS, you really don't have anyone to talk to, so this is a major plus.
Cons:
DB access: You don't have direct access to the database, you can get to the psql shell, but you can't connect an external client gui. This makes doing somethings a little more difficult or slow. But you can still use the django admin or fixtures to do a lot of things.
Limited services available: It currently only supports Postgresql and redis, so if you want to use MySQL, memcached, mongodb,etc you are out of luck.
low level c libs: You can't install any dependencies that you want, similar to google app engine, they have some of the common c libs installed already, and if you want something different that isn't already installed you will need to contact them to get it added. http://www.ep.io/docs/runtime/#python-libraries
email: You can't send or recieve email, which means you will need to depend on a 3rd party for that, which is probably good practice anyway, but it just means more money.
file system: You have a more limited file system available to you, and because of the distributed nature of the system you will need to be very careful when working from files. You can't (unless i missed it) connect to your account via (s)ftp to upload files, you will need to connect via the ep.io command line tool and either do an rsync or a push of a repo to get files up there.
Update: for more info see my blog post on my experiences with ep.io : http://kencochrane.net/blog/2011/04/my-experiences-with-epio/
Update: Epio closed down on May 31st 2012
I'm slowly getting into the position where one of my Django sites needs some robustness behind it. I'd currently running on a single VPS on a SQLite database with memcached.. It's about as un-scaled as things can get.
If I bought another VPS account, what would I want to do?
Move to MySQL/PostgreSQL with replication? What's easiest? Does replication protect me from one server exploding? Are there concurrency downsides?
How do I load-balance between the two servers?
I'd put memcached on the new server too. If I put both IPs into the configuration, would that keep a copy of data on both servers? (I'm thinking of what happens to session data - currently stored in memcached)
I'm currently using Cherokee as the httpd - I'm sure this has its own set of issues. If you've any tips, let me know.
Am I going at this the wrong way? Is there an easier way to have faster, more robust django sites?
First step: switch from SQLite to a real production database (I like Postgres). This should happen long before you even think about a second VPS. SQLite essentially does not support concurrency at all. Personally, I wouldn't even consider deploying a live site on SQLite in the first place.
If your site is running on SQLite and is functioning, my guess is you are still quite a long ways from actually outgrowing your single VPS (unless it's already heavily loaded otherwise).
If/when you do need to add a second server, how you configure things depends on where you're actually seeing a bottleneck. Chances are it'll be the database, in which case a good step might be simply moving the database onto its own server (presuming you can guarantee low latency between the two VPSes) and loading the database server with as much RAM as you can afford. In general disk performance suffers most in a VPS, so another step to consider might be putting the DB onto raw metal.
I'd probably look at those steps before I'd think about DB replication or multiple web-tier servers, but it really depends on profiling your actual case (and how you value performance vs reliability).
Watching the Django Deployment Workshop by Jacob Kaplan-Moss should give you a good overview.
MySQL supports Master-Slave and Master-Master setups I don't use PostgreSQL.
You can use nginx as your loadbalancer, HAProxy is an option, too (SO use it).
Memcached distributes the objects over the servers, If one crashes the data is lost.
I don't know Cherokee, but nginx is great.