Blockchain technology currently receives a lot of public attention with its disruptive potential to rebuild a currently state of economy. While blockchain technology is treated potentially disruptive in socio-economic environment, there is a lack of understanding where and how blockchain technology is effectively applicable and where it has mentionable practical effects. The use of this technology inside many businesses caused a need to create a system of tools and methods allow properly description to generate valuable information for governments, management, customers etc. Due to a lack of information related to blockchain technology it is a must to explore potential of blockchain in the context of risk. This paper examinees a problem of implementation blockchain technology within finance industry. The main aim of the article was to outline how important is to understand potential of blockchain technology and its limitations, therefore the author prepared a model which can be used to classify blockchain technology implementations in finance industry. This study describes existing issues in the financial aspect.

The Distributed Ledger Technology (DLT) is a peer-to-peer model of sharing data among collaborating parties in a decentralized manner. An example of DLT is a blockchain where data form blocks in an append-only chain. Software architecture description usually comprises multiple views. The paper concentrates on the Deployment view of the DLT solution within the 1+5 architectural views model. The authors have proposed Unified Modeling Language (UML) extensibility mechanisms to describe the needed additional semantic notation to model deployment details. The paper covers both the network and node levels. The proposed stereotypes and tagged values have enriched UML Deployment diagram. We have gathered those modeling elements in dedicated UML Profile for Distributed Ledger Deployment. We have applied the profile to model Deployment view of a renewable energy management system that uses R3 Corda framework. The system records information about inbound and outbound energy to/from renewable energy grid.