Delivering energy consumptions using Azure messaging
Holopainen, Miro (2021)
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:amk-2021120824321
https://urn.fi/URN:NBN:fi:amk-2021120824321
Tiivistelmä
This thesis was an assignment from a company called EG EnerKey. EnerKey had a dated energy consumption delivery and storing system that needed a replacement. The old system could no longer fulfil all the requirements EnerKey has today. To solve the problem a code-based solution, which can deliver energy consumptions from their source to the final database, was created. It can be used by other components all while utilizing Microsoft Azure cloud offerings and Influx time series database. One of the desired outcomes was also to generally just create something with different Azure offering, so that EnerKey will have more knowledge on them.
Thesis provided a background of what needed to be done and also a study on different Azure messaging offerings and how good would they fit for EnerKey and the replacement product. Technical implementation was done utilizing three different messaging products and creating a couple C# based libraries utilizing those products, and an Azure function, that can handle the energy consumption data delivery to the database.
Thesis resulted in a solution that can be used to replace the EnerKey’s current system while achieving most of the requirements set for the solution. Thesis also provided recommendation on the single Azure messaging product. Solution was not fully completed as the time run out, but it serves as an excellent basis to continue replacing the old system. Thesis result can be used to deliver other kinds of data using Azure too, though few adjustments for the end product must be made on that case.
Thesis provided a background of what needed to be done and also a study on different Azure messaging offerings and how good would they fit for EnerKey and the replacement product. Technical implementation was done utilizing three different messaging products and creating a couple C# based libraries utilizing those products, and an Azure function, that can handle the energy consumption data delivery to the database.
Thesis resulted in a solution that can be used to replace the EnerKey’s current system while achieving most of the requirements set for the solution. Thesis also provided recommendation on the single Azure messaging product. Solution was not fully completed as the time run out, but it serves as an excellent basis to continue replacing the old system. Thesis result can be used to deliver other kinds of data using Azure too, though few adjustments for the end product must be made on that case.