Dette er CodeArts blog. Vi deler thought-leadership og tekniske tips og tricks - men som regel på engelsk.
As Google Analytics have gotten harder and harder to use due to GDPR, legal and privacy concerns I have turned more and more to Matomo. I recently completed v.1 of a new open source tracking integration.
WebLoadBreaker is a new, open source, browser based tool to help you do quick and easy load tests.
Over the years I have been involved in quite a lot(!) of Episerver addons and integration projects. A key to a successful add-on is to get the entire project and environment correctly setup and working from the start. This is my recipe.
We just launched a new version of the online tool Profile Manager - a tool that makes it easier for developers and content analysts to work with Episervers Profile Store. The new version lets you easily try out different KQL queries and build Filter Definitions with them.
Profile Store, Insight, Tracker, Advance - Episerver offers a myriad of different (but connected) REST services for managing and tracking your visitors and prospects. It can be slightly confusing at first - and some of the documentation might be a tad misleading - but once you get the hang of it, they are really powerful tools. I've recently had a chance to explore them in depth. Here is what I've learned so far.
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!
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.
In this second post of my performance series looking at Azure storage we're going to take a good look at Read speeds for the various storage types.
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.
Azure Storage has a new cool feature in preview - Static Website. But what exactly does it do - and how can I connect my Episerver installation to it? I decided to find out.
