Dette er CodeArts blog. Vi deler thought-leadership og tekniske tips og tricks - men som regel på engelsk.
Episerver Content Provider Resilience Strategies
Content Providers for Episerver is a powerful tool with huge potential for integrations. But how should you handle fault resilience when dealing with a real time connection to an external system? As part of the integration to Digizuite DAM I have helped build, I have given this a great deal of thought.
Sneak Peek - Digizuite DAM for Episerver
In this blog post I'm sharing a little sneak peek of the editor experience working with an enterprise DAM like Digizuite integrated into Episerver. Early February 2019, at the Episerver Partner Close-up in Stockholm, you can visit Digizuite stand to get an in-depth demo.
Digizuite: Keeping developers in mind when building the addon
I have worked on many different addon's for Episerver over the years - and used many more. One thing that often strikes me is that either an Addon is for editors or it is for developers, but rarely both. With the new Digizuite integration we are trying to give both groups the tools they need.
Digizuite DAM for Episerver
Digizuite is a pretty serious DAM player in the enterprise market - and I have been lucky enough to be part of their DAM adventure in Episerver land. In this blog (and most likely several future posts) I will share some of the thoughts and approaches we have taken to make a good integration.
Storage Performance Aftermath - ElasticSearch Joins the Fight
In 3 previous blog posts I compared various azure storage technologies with regards to performance and scalability in typical web usage scenarios. I was actually done with the series, but with all that interesting data, I decided to throw my current favorite search/storage/no-sql technology into the mix to get an idea about how it all compares. So - ElasticSearch enters the competition!
Azure Storage Performance Showdown (Post 3)
This is the 3rd post in my Azure Storage Performance comparison. So far we've examined the typical scenario of storing/retrieving data that most dynamic websites of today deal with. In this post, we'll take a closer look at Update and Delete - and finally review the financial aspects.
Azure Storage Performance Showdown (Post 1)
Almost every project has some data you want to persist, then read, search through, update and eventually delete. With Azure there are loads of great possibilities - for example Blob Storage, Table Storage, CosmosDb, SQL Azure. I've decided to do some simple and fairly naive tests to compare these for some typical usage scenarios and see how they perform.