Introducing Eventarc in Pic-a-Daily Serverless Workshop

Pic-a-Daily Serverless Workshop As you might know, Guillaume Larforge and I have a Pic-a-Daily Serverless Workshop. In this workshop, we build a picture sharing application using Google Cloud serverless technologies such as Cloud Functions, App Engine, Cloud Run and more. We recently added a new service to the workshop. In this blog post, I want to talk about the new service. I also want to talk about Eventarc and how it helped us to get events to the new service. [Read More]

Knative v0.18.0 update

I got around to updating my Knative Tutorial from Knative v0.16.0 to the latest Knative Serving v0.18.0 release and Knative Eventing v0.18.1 release. In this short blog post, I want to outline a couple of minor issues I encountered during my upgrade. Note that I skipped v0.17 altogether, some of these changes might have happened in that release. Istio Installation The biggest change I encountered is how Istio is installed for Knative. [Read More]

Events for Cloud Run for Anthos >= Knative Eventing on Kubernetes

Introduction We recently announced a new feature, Events for Cloud Run for Anthos, to build event driven systems on Google Kubernetes Engine (GKE). In the announcement, we also stated that the solution is based on open-source Knative. In this blog post, I want to further explain the relationship between this new feature and Knative. I also want to convince you that our solution is an easier way to deploy Knative compliant event consuming services on Google Cloud. [Read More]

A first look at serverless orchestration with Workflows

Challenges in connecting services When I think about my recent projects, I probably spent half of my time coding new services and the other half in connecting services. Service A calling Service B, or Service C calling an external service and using the result to feed into another Service D. Connecting services is one of those things that ‘should be easy’ but in reality, it takes a lot of time and effort. [Read More]

Scheduled serverless dbt + BigQuery service

My colleague Felipe Hoffa recently published a blog post titled Get started with BigQuery and dbt, the easy way. More specifically, he showed how to install dbt in Google Cloud Shell, configure it and manually run it to create a temporary dataset in BigQuery. This is great for testing dbt + BigQuery but how do you run this kind of setup in production? dbt documentation states that Running dbt in production simply means setting up a system to run a dbt job on a schedule, rather than running dbt commands manually from the command line. [Read More]

Knative v0.16.0 update

I finally got around to updating my Knative Tutorial from Knative v0.14.0 to the latest Knative v0.16.0 release. Since I skipped v0.15.0, I’m not sure which changes are due to v0.15.0 vs. v0.16.0. Regardless, there have been some notable changes that I want to outline in this blog post. This is not meant to be an exhaustive list. Feel free to let me know in the comments if there are other notable changes that I should be aware of. [Read More]

Google Cloud Functions on .NET

.NET for Google Cloud Functions (Alpha) I spoke at many .NET conferences over the last 3-4 years and one of the top requests I always received was: When will .NET be supported on Cloud Functions? Unfortunately, I didn’t have a good answer for a while. That all changed last month with the following tweet from Jon Skeet from our C# team: I'm thrilled that .NET support is coming to Google Cloud Functions, along with the . [Read More]

.NET Core 3.1 updates in Cloud Shell and App Engine flexible environment

.NET Core 3.1 updates on Google Cloud .NET Core 3.1 was released on December 3rd, 2019 and is a LTS release, supported for three years. In Google Cloud, you could already deploy .NET Core 3.1 containers in Cloud Run (see cloud-run-dotnetcore-31) and also in App Engine flexible environment with a custom runtime. We recently extended .NET Core 3.1 support in a couple of ways: Cloud Shell now supports . [Read More]

Daily COVID-19 cases notification Pipeline with Knative Eventing, BigQuery, Matplotlib and SendGrid

Motivation When I started working from home in mid-March, I was totally obsessed with COVID-19 news. I was constantly checking number of cases and news from the UK (where I currently live) and from Cyprus (where I’m originally from). It took me a couple of weeks to realize how unproductive this was. I started limiting myself to check for news once a day. This definitely helped me to regain sanity and productivity but it was manual. [Read More]

Event-Driven Image Processing Pipeline with Knative Eventing

In this post, I want to talk about an event-driven image processing pipeline that I built recently using Knative Eventing. Along the way, I’ll tell you about event sources, custom events and other components provided by Knative that simply development of event-driven architectures. Requirements Let’s first talk about the basic requirements I had for the image processing pipeline: Users upload files to an input bucket and get processed images in an output bucket. [Read More]