Marc Duiker

I ❤️ Serverless, Dev Community, and Creative Coding

Durable Functions API - Writing Safe Orchestrations

Slide showing Writing Safe Orchestrations

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ServerlessDays Amsterdam, a personal post-mortem

My deskat the start of the conference.

It is now May 12th, four days after the ServerlessDays Amsterdam 2020 virtual conference. The conference was incredibly fun and slightly terrifying at the same time.

I had two roles during the conference; in the morning, I would do the hosting with Lian Li (who really has a talent for MC-ing), and during the entire day, I would be responsible for the technical part. In specific that means that I’d be calling in speakers & panelists into the Skype group call, and controlling the streaming software (OBS), switching scenes, configuring webcam sources, shared screens, names, and starting the prerecorded sessions.

Live streaming the meetups and conference for ServerlessDays Amsterdam - Part 1

Everyone is live streaming!

Well, ok, not everyone, but a lot of meetups & conferences which were previously only offline and IRL have an online presence these days. It really lowers the boundary of attending these events, and I think this is great!

ServerlessDays Amsterdam (which I’m co-organizing) is also moving online for both the meetups and the conference. In this post, I’m highlighting some details on how we’re setting this up.

Discovering the Durable Functions API - Human Interaction (DurableOrchestrationClient part 4)

Human Interaction Pattern

This is the fourth part of the Durable Functions series where I look into the DurableOrchestrationClient. In the video I’ll talk about the Human Interaction pattern, which deals with raising events from the client and waiting for events in the orchestrator.

Here’s the video, please give it a thumbs up if you like it and subscribe to my channel so you’ll be notified of new videos.


The source code that is used for this demo can be found on GitHub.

My learnings from running the Azure Functions Updates Twitterbot for half a year

Azure Functions Updates component diagram

Some quick facts about the Twitterbot

In my previous post, I wrote about why and how I created the Azure Functions Updates Twitterbot. This bot has been posting updates about Azure Functions related GitHub repositories (and Azure Service announcements) since February 2019, so that’s well over 6 months. It monitors 24 repositories, including itself, and the Azure Service Updates RSS feed, filtered for Azure Functions related updates. The full list of sources is listed on GitHub. The function app that runs the bot has captured 128 GitHub releases, 8 Azure Service Update posts and posted 154 messages to Twitter (the introductory tweets were posted manually).

In this post, I want to highlight some of the actions I took and the insights I’ve got after I put the Twitterbot live. I’m going to cover: failure & resiliency, monitoring & alerts, performance, and costs.

Marc Duiker profile

Marc Duiker

Lead Consultant @ Xpirit

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