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We currently have 4 full time devs, a QA, a DBA consultant, and a Designer on the team. Honestly, none of that took very long to set up at all. The application in this case is a Ruby on Rails backend, PostgreSQL database, Angular front end, with file storage and a few other smaller services. Step one: We have a lot of tests and we believe in a good test suite. Are we perfect? Absolutely not. But it is important to be able to "know" the application works. Define what helps us to know it works, and automate tests to do that. Things like "Can you log in?", "Can you select a record of type X, Y, Z, A, B, and C and do those records have the data you would expect in the right places?" You can have a human do this, or you can automate it. Automate it. Step two: Automate your deployment. The rails application is bundled into a docker container. We use ECS (Elastic Container Service) to maintain our environments. CI/CD first runs tests, second, builds the latest docker container, third, places the docker container into a repo, fourth , deploy out the container to the correct ECS environment, five, profit! This is all automated and works the same every time with checks and balances along the way. Our Angular application runs out of S3 buckets with cloudfront caching. This was a matter of using webpack to compile the angular application down to production deployable artifacts and than a simple bash script to move those artifacts to the S3 bucket. The database is an RDS instance so we get some fun things built in there. Note: All of the AWS setup is also automated with scripts. Create VPC, create autoscaling group, create targets, create rds instances, create s3 buckets, create cloudfront, and delete all of the above (and more, aws is complex), are all just scripts. Step three: Because we have a test suite and deployment scripts the rest of the process is easy. Just use the scripts to create whatever environment we need, stick it on a schedule, record the results in CI/CD, alert the WHOLE FREAKING WORLD if something doesn't work. Now you might say, easy to say in a Rails environment, with so few moving parts, with such a new project, etc etc etc (I have heard every excuse in the book). I have done this for many other companies. The last I did it at had about 50 engineers, ran a large Java mixed bag of applications on Tomcat servers, ran Oracle for their data, and had no tests and a ton of legacy code. We got to the same point as I have already explained by simply breaking it into chunks. First, automate the tests that were done manually. Second, automate the deployment steps that were done manually. Third, automate the environment things that were done manually. Finally, schedule everything and monitor. I learned to do this at HP Labs where we used the same process with a very large API fronting a C based image processing system with Petabytes of storage, thousands of servers, and a huge number of moving parts. I promise, it can work anywhere. |