Skip to content

Sponsor: Do you build complex software systems? See how NServiceBus makes it easier to design, build, and manage software systems that use message queues to achieve loose coupling. Get started for free.

Learn more about Software Architecture & Design.
Join thousands of developers getting weekly updates to increase your understanding of software architecture and design concepts.


Follow @CodeOpinion

Derek Comartin

EventStore for Orleans Grain Persistence

In my previous post, I used the JournaledGrain to create an Event Sourced grain.  This enabled us to raise events from within our grain which would be applied to our grain state.  Next up, which I’m covering in this post is how to use EventStore for Orleans Grain Persistence. This means when we raise events, they will also be persisted to EventStore.  When our grain is activated, we can re-hydrate it by retrieving prior events from an EventStore stream and re-running them in our Grain to get back to current state. Blog Post Series: Part 1 – Practical Orleans Part… Read More »EventStore for Orleans Grain Persistence

Event Sourced Orleans Grain

I always thought a Event Sourced Orleans Grain would fit a really well as a stateful Aggregate Root.  Take it a step further and have your Grain be event sourced and also encapsulate a projection of current state.  This post is going to setup the basics of how to Raise events and apply them in our Grain state.  I will be covering persisting the events in the next post. Blog Post Series: Part 1 – Practical Orleans Part 2 – Grains and Silos Part 3 – Smart Cache Pattern Part 4 – Event Sourced Grain Part 5 – EventStore for… Read More »Event Sourced Orleans Grain

Orleans Smart Cache Pattern

I discovered the Orleans Smart Cache Pattern by listening to a talk by John Azariah and Sergey Bykov.  The idea is that you can use Orleans as a distributed cache in front of (permanent) storage.  This is really ideal if you have a read heavy system, which most are.  You could optionally also choose to buffer your writes when you make state changes.  Ultimately you will reduce load on your storage by accessing data/state from memory. Blog Post Series: Part 1 – Practical Orleans Part 2 – Grains and Silos Part 3 – Smart Cache Pattern Part 4 – Event Sourced… Read More »Orleans Smart Cache Pattern