I’ve published an article titled “Serverless load balancing with Terraform: The
hard way” on the Google Cloud blog that details building an HTTPS load balancer
with automatic TLS certs for a Cloud Run service. In doing so, I’ve realized
this experience is fairly complicated, and started preparing a new Terraform
module to make this easier.
Two years ago I have developed
grpc_health_probe out of
a real necessity: there was no way to health check gRPC applications in an
idiomatic and standardized way on Kubernetes. Fast forward two years, the tool
has been downloaded over 1.8 million times and used internally at Google as well
as externally in many companies. It has raised awareness around gRPC’s builtin
health protocol. I wrote about it on Google Cloud blog.
I’ve published an article on the Google Cloud blog detailing how to write and
deploy custom middleware (such as
serverless-registry-proxy)
to customize the behavior of gcr.io for tasks like serving a public Docker
Registry on a custom domain name.
I’ve published a deep dive article on Google Cloud Blog about a new Cloud
Run feature we’ve been working that adds “graceful
termination” support to the serverless containers using the
SIGTERM
signal —just like Kubernetes does.
I’ve posted an announcement on Google Cloud Blog about a new Cloud
Run feature we’ve been working that adds server-side
streaming support for serverless containers.
In an earlier article, I have explained that Cloud Run implements the Knative API. In this post I’ll show you how to use Cloud Run’s client libraries in Go to make API calls to Knative clusters (on Google or not) with code samples. (I’m guessing only like 10 people will ever need this, 9 of them probably at Google, but here we go). Read More →
WARNING
I have now moved this guide to the Cloud Run official documentation. Follow that page for the most up-to-date instructions.
You can now route your users to the nearest Google datacenter to them that has
your Cloud Run application deployed. In this article, I list the commands to
setup a load balancer and deploy an application as “multi-region” with Cloud Run
using gcloud.
Read More →
Today we’ve launched the most anticipated Cloud Run feature to beta: You can now access VPC networks from Cloud Run. As you can imagine, this is great news for scenarios like running your frontend on Cloud Run, and calling other backend microservices running on Kubernetes1 over their private IPs.
In this article, we will connect to a Kubernetes service running on a private GKE cluster from Cloud Run. To visualize this, we’ll be configuring the following architecture: Read More →