Microsoft has made an important announcement today. The company is set to integrate the Truffle toolset on its Azure platform. Truffle is a blockchain startup and Azure is the cloud computing service provided by Microsoft, so they are a clear match.
According to the announcement made by the company, the users of the platform that is focused on helping developers to create and manage apps are able to use the Truffle tools ever since May 2.
Marc Mercuri, the principal program manager at Azure Blockchain Engineering, has affirmed that the company strongly believes in the power of the blockchain technology and that they not only investing because the customers are pressing them or something like that. They really believe in the potential all the potential that can be brought forward by this technology.
Truffle was one of the first projects that was backed by ConsenSys, the famous Ethereum incubator. The company first started to create tools that could be used by developers in order to create blockchain apps in a time in which it was very hard to do it.
The CEO of Truffle, a man named Tim Coulter, has affirmed that they wanted to make their program more accessible to other people, so this is a great part of why they are so focused on this new partnership.
At the moment, Truffle is integrated with AxCore and Quorum, an open source project created by JPMorgan, which has also created JPMCoin, a cryptocurrency-like token that will be used in internal transactions within the company.
The company affirms that its set of development tools have been downloaded over 2.7 million times. Now, by being integrated with Microsoft, the number is bound to increase. Coulter, who has described the partnership as “very exciting”, affirmed that this will open up the company’s services to a lot more people than now.
Truffle has several solutions which are being integrated right now into Microsoft Azure. One of them is the new Microsoft Visual Studio Code, which was created in order to enable smart contract creators to be able to test them before they actually deploy them for the first time, which helps to monitor their efficiency.