Configuring Internal Load Balancer with Deployment Manager

It’s interesting how some tools that try to look simpler and be more user friendly, actually make the things way more complex. Back in a day it was like this with the git, when I had to read ‘Pro GIT’ book and switch to command line, so GUI clients finally started to make sense. It was then with Kubernetes, when it took switching to kubectl apply and YAML configurations in order to make sense of kubectl run and kubectl expose.

And the same thing is now with GCP’s load balancers. Putting aside the question why there are so many of them, it’s really hard to see what they are made of. All these wizards and checkboxes completely hide the picture of what exactly those load balancers will be made of and why so. Continue reading “Configuring Internal Load Balancer with Deployment Manager”

Extending Deployment Manager with Type Providers

It’s been just s few weeks since I complained that Google’s Deployment Manager (DM) doesn’t support its own latest Cloud Functions API, when I accidentally found an alternative way to use it. Thing is that if you have a RESTful CRUD-like API and OpenAPI specification for it, you can register it as DM’s type provider and use it almost like any other type from inside of a YAML configuration. Cloud Functions API v1 does have such specification, so in fact I could use it with DM.

Continue reading “Extending Deployment Manager with Type Providers”

Few bugs (or features?) I managed to find in Google Cloud Platform so far

bugs google cloud platformWorking closely with GCP’s Deployment Manager recently, it was really hard not to notice that Google sometimes… makes bugs. Seriously. Not that many, I definitely introduced more, but it’s still enough to stumble across them now and then. I think within a month I found like 4 of the most obvious ones, but so did the other members of my team, so bugs in GCP is not something uncommon. So, let’s have a look at few?

Continue reading “Few bugs (or features?) I managed to find in Google Cloud Platform so far”

Python templates in GCP Deployment Manager

Imagine we have Deployment Manager’s config file that creates a virtual machine from certain image and assigns an ephemeral public IP address to it. Something like this:

If I decided to create 5 other VMs, similar to this one, I’d probably have to copy-paste the config, changing just the tiny pieces: the name and probably the zone with the image.

However, Deployment manager supports Jinja and Python templates, so we can move a repetitive blocks into those, leaving only customizable parts on the surface. Let’s see is how it works for Python. Continue reading “Python templates in GCP Deployment Manager”

Automating GCP Infrastructure with Deployment Manager

Deployment Manager

I don’t know how and why, but even though for the last couple of years I was spending at least few hours a week doing something with Google Cloud Platform, I never managed to notice that they have their own tool for automating infrastructure creation. You know, creating VMs, networks, storage, accounts and other resources. But it’s there, right in the main menu.

The tool is called Deployment Manager and it can build and provision virtually everything that Google Cloud Platform can provide. All in one command. As any other tool from Google it has slightly mind bending learning curve and not always up to date documentation, but it works and gets the job done. Most of the time I was automating everything starting from the host and up, using Vagrant, Ansible, docker-compose or kubectl. But automating everything from the host and down – actual infrastructure – that’s going to be interesting. Continue reading “Automating GCP Infrastructure with Deployment Manager”