I was recently interviewed by GaProgMan for his show “The .NET Core Podcast”!
Microsoft Orleans-Dashboard Update-CPU/Memory Stats
Quick update to a post I did a while back regarding Orleans Dashboard — additional reporting metrics for your cluster!
Microsoft Orleans - Observables
As we continue exploring Microsoft Orleans — the virtual actor model framework — we happen upon Observers. Observers can be used to “observe” events, in the form of notifications, as an example.
Microsoft Orleans-Easily switching between "development" and "production" configurations.
There are some differences in how one would host an Orleans server locally vs deployed in a production scenario. In this post, we’ll use some of the skills we’ve built on previously, to help us in our journey to hosting a production ready Orleans cluster.
Microsoft Orleans-Reminders and Grains Calling Grains
Orleans is an actor model framework — a framework used for easily creating distributed systems across a cluster of machines. In this post we’ll explore the “Reminders” feature of Orleans.
Microsoft Orleans-Dependency Injection
Dependency Injection is an important part of writing loosely coupled, easily tested code. I’ve written a bit about it before, but not in the context of Microsoft Orleans.
Microsoft Orleans-Code Generation issue?
Microsoft Orleans — Code Generation issue?
While working on the post “Microsoft Orleans — Reporting Dashboard”, I ran into an issue where code generation seemingly stopped “generating”.
Microsoft Orleans — Reporting Dashboard
Orleans is an easy to use actor framework, but how can you monitor your deployment? Luckily, there’s something simple to use — Orleans Dashboard!
Using polymorphism to update Orleans Project to be ready for new Orleans Examples!
Note this is not an Orleans post, not exactly — it’s just something I wanted to enhance on my Orleans Project, prior to moving on to demonstrating even more Orleans features!
Microsoft Orleans — Reusing Grains and Grain State
We’ve explored Orleans for distributing application logic across a cluster. Next, we’ll be looking at grain reuse and grain state…
