In this series I'll describe a few patterns that enabled me to process 2 billions items per day using Azure Functions. Yes 2 billions items per day. The aim of this trial was not to check whether you can do it with Azure Functions. You can do it easily. The goal was to do it … Continue reading Azure Functions: processing 2 billions items per day (1)
Recently I've been playing with Azure Functions. Probably, I should use a bigger word than "playing", because I implemented a full working app using only functions. 4$ , that was all that I needed to pay for the whole month after running some synthetic load through the app. I spent a few additional hours just … Continue reading Heavy cloud but no rain
TL;DR When calculating the space needed for your Service Fabric cluster, especially in Azure, one can hit machine limits. After all, a D2 instance has only 100 GiB of local disk and this is the disk used by Service Fabric to store data onto. 100 GiB might be not that small, but if you use … Continue reading Hot or not? Data inside of Service Fabric
There are multiple articles describing the performance of Azure Table Storage. You probably read the entry of Troy Hunt, Working with 154 million records on Azure Table Storage.... You may have invested your time in reading How to get most out of Windows Azure Tables as well. My question is have you really considered the … Continue reading The cost of scan queries in Azure Table Storage
I've just finished the Azure workshop. In two days course you cannot get everything, but as far as I know, the discussed topics can show what Azure is all about. I won't rewrite plenty of blog entries and articles. What I want is to write that the cloud is the future. By the cloud I … Continue reading It’s getting cloudy, isn’t it?