Run cloud service containers instead of cloud-native services

• Running containers means that your microservices are not "cooked" into a cloud provider's architecture.
• Moving from one cloud to the next means that you simply spin up new instances of your containers in the new cloud using that cloud's container service.
• Start redirecting your traffic to the new resources.
• Turn off the containers in the cloud you migrated from.

When adding a new feature to Checkly rearchitecting some older piece, I tend to pick Heroku for rolling it out. But not always, because sometimes I pick AWS Lambda . The short story:

• Developer Experience trumps everything.
• AWS Lambda is cheap. Up to a limit though. This impact not only your wallet.
• If you need geographic spread, AWS is lonely at the top.

Recently, I was doing a brainstorm at a startup here in Berlin on the future of their infrastructure. They were ready to move on from their initial, almost 100% Ec2 + Chef based setup. Everything was on the table. But we crossed out a lot quite quickly:

• Pure, uncut, self hosted Kubernetes — way too much complexity
• Managed Kubernetes in various flavors — still too much complexity
• Zeit — Maybe, but no Docker support
• Elastic Beanstalk — Maybe, bit old but does the job
• Heroku
• Lambda

It became clear a mix of PaaS and FaaS was the way to go. What a surprise! That is exactly what I use for Checkly! But when do you pick which model?

I chopped that question up into the following categories:

• Developer Experience / DX 🤓
• Ops Experience / OX 🐂 (?)
• Cost 💵
• Lock in 🔐

Read the full post linked below for all details