Auto-completion for Workflows JSON and YAML on Visual Studio Code

If you’re like me, you probably use VS Code to author your Workflows JSON or YAML. You also probably expect some kind syntax validation or auto-completion as you work on your workflow. Unfortunately, there’s no VS Code extension for Workflows and Cloud Code for VS Code does not support Workflows. However, there’s a way to get partial auto-completion for Workflows in VS Code. VS Code and JSON Schema VS Code has the ability to display auto-complete suggestions for JSON and YAML files out of the box. Read More →

Introducing the new Eventarc UI, Cloud Run for Anthos destinations

December was a busy month for the Eventarc team, who landed a number of features at the end of the year. Let’s take a closer look at some of these new capabilities. Cloud Storage trigger is GA Back in September, we announced the public preview of Cloud Storage triggers as the preferred way of routing Cloud Storage events to Cloud Run targets. They are now generally available. For more details, see the documentation on how to create a Cloud Storage trigger and check out my previous blog post on Cloud Storage triggers. Read More ↗︎

Cross-region and cross-project event routing with Eventarc and Pub/Sub

With event-driven architectures, it’s quite common to read events from a source in one region or project and route them to a destination in another region or another project. Let’s take a look at how you can implement cross-region and cross-project event routing in Google Cloud. Cross-region event routing is straightforward in Google Cloud, whether you’re using Pub/Sub directly or Eventarc. Pub/Sub routes messages globally. When applications hosted in any region publish messages to a topic, subscribers from any region can pull from that topic. Read More ↗︎

A closer look at locations in Eventarc

New locations in Eventarc Back in August, we announced more Eventarc locations (17 new regions, as well as 6 new dual-region and multi-region locations to be precise). This takes the total number of locations in Eventarc to more than 30. You can see the full list in the Eventarc locations page or by running gcloud eventarc locations list . What does location mean in Eventarc? An Eventarc location usually refers to the single region that the Eventarc trigger gets created in. Read More ↗︎

Trying out source-based deployment in Cloud Run

Until recently, this is how you deployed code to Cloud Run: Define your container-based app with a Dockerfile. Build the container image and push it to the Container Registry (typically with Cloud Build). Deploy the container image to Cloud Run. Back in December, we announced the beta release of source-based deployments for Cloud Run. This combines steps 2 and 3 above into a single command. Perhaps more importantly, it also eliminates the need for a Dockerfile for supported language versions. Read More ↗︎

Analyzing Twitter sentiment with new Workflows processing capabilities

The Workflows team recently announced the general availability of iteration syntax and connectors! Iteration syntax supports easier creation and better readability of workflows that process many items. You can use a for loop to iterate through a collection of data in a list or map, and keep track of the current index. If you have a specific range of numeric values to iterate through, you can also use range-based iteration. Read More ↗︎

Introducing the new Cloud Storage trigger in Eventarc

Eventarc now supports a new Cloud Storage trigger to receive events from Cloud Storage buckets! Wait a minute. Didn’t Eventarc already support receiving Cloud Storage events? You’re absolutely right! Eventarc has long supported Cloud Storage events via the Cloud Audit Logs trigger. However, the new Cloud Storage trigger has a number of advantages and it’s now the preferred way of receiving Cloud Storage events. Let’s take a look at the details. Read More ↗︎

Get notified when an expensive BigQuery job executes using Eventarc and SendGrid

Events supported by Eventarc Last week, I put together a list of events supported by Eventarc in our eventarc-samples repo. Thanks to our docs team, this list is now part of our official docs under reference section. After looking at the full list, I started thinking about some use cases enabled by these events. I want to talk about one of those use cases today: How to get notified when an expensive BigQuery job executes? Read More →

Deploying multi-YAML Workflows definitions with Terraform

I’m a big fan of using Workflows to orchestrate and automate services running on Google Cloud and beyond. In Workflows, you can define a workflow in a YAML or JSON file and deploy it using gcloud or using Google Cloud Console. These approaches work but a more declarative and arguably better approach is to use Terraform. Let’s see how to use Terraform to define and deploy workflows and explore options for keeping Terraform configuration files more manageable. Read More ↗︎

Introducing new connectors for Workflows

Workflows is a service to orchestrate not only Google Cloud services, such as Cloud Functions, Cloud Run, or machine learning APIs, but also external services. As you might expect from an orchestrator, Workflows allows you to define the flow of your business logic, as steps, in a YAML or JSON definition language, and provides an execution API and UI to trigger workflow executions. You can read more about the benefits of Workflows in our previous article. Read More ↗︎