On January 10th of 2017 I gave two talks at the Webscale Architecture NL meetup group in Utrecht.
Here are the slides for the people who were there and want to revisit the covered topics.
In my previous post about Event Store read complexity I described how the growth of reads from the event database might be quadratic in respect to amount of events per aggregate.
Here’s a programming puzzle. Given 2D matrix of 0’s and 1’s, find the number of islands. A group of connected 1’s forms an island. For example, the below matrix contains 5 islands
Azure Functions are the Function-as-a-Service offering from Microsoft Azure cloud. Basically, an Azure Function is a piece of code which gets executed by Azure every time an event of some kind happens.
So you are a C# developer. And you need to read the code and understand its structure. Maybe you’ve just joined the project, or it’s your own code you wrote 1 year ago.
On May 8th 2017 I gave a talk at the .NET Development Nederland group in Amsterdam.
Here are the slides for the people who were there and want to revisit the covered topics.
Azure Event Hubs is a log-based messaging system-as-a-service in Azure cloud. It’s designed to be able to handle huge amount of data, and naturally supports multiple consumers.
Starting today, this blog has switched to HTTPS secure protocol:
While there’s not that much to secure on my blog, HTTPS is still considered to be a good practice for any site in 2017.
One of the ways we use Azure Application Insights is tracking custom application-specific events. For instance, every time a data point from an IoT device comes in, we log an AppInsights event.
Azure Service Bus client supports sending messages in batches. However, the size of a single batch must stay below 256k bytes, otherwise the whole batch will get rejected.
Updated results are available at Azure Functions Get More Scalable and Elastic.
Automatic elastic scaling is a built-in feature of Serverless computing paradigm. One doesn’t have to provision servers anymore, they just need to write code that will be provisioned on as many servers as needed based on the actual load.
Are there any known patterns / tools / frameworks to provide scalable, stateful, effectively-once, end-to-end processing of messages, to be hosted in Azure?
Update: I missed the elephant in the room. There actually exists a specialized trigger for Event Grid binding. In the portal, just select Experimental in Scenario drop down while creating the function.
On November 8th 2017 I gave a talk about developing Azure Functions in F# at FSharping meetup in Prague.
I really enjoyed giving this talk: the audience was great and asked awesome questions.
This post is giving a start to F# Advent Calendar in English 2017. Please follow the calendar for all the great posts to come.
Azure Functions is a “serverless” cloud offering from Microsoft.
Back in August this year, I’ve posted Azure Functions: Are They Really Infinitely Scalable and Elastic? with two experiments about Azure Function App auto scaling. I ran a simple CPU-bound function based on Bcrypt hashing, and measured how well Azure was running my Function under load.
