This week, the Azure Blockchain team will be in Cancun for DevCon3. As we partner with customers on more mature scenarios and applications, our product roadmap continues to evolve, but the fundamental tenets of the strategy outlined at DevCon2 have remained unchanged:
- Build an open blockchain cloud platform that enables developers to rapidly and consistently deploy blockchain network infrastructure for all major protocols. From Ethereum, the first and still most popular offering in our Marketplace, to R3 Corda, Chain, Quorum and Hyperledger Fabric, Azure strives to be the best and most welcoming place for the blockchain ecosystem.
- Advance the enterprise capabilities of blockchain to improve the security, privacy, performance and operational governance of what we now call consortium, or private blockchain networks. Together with partners like R3 Corda, Intel, J.P. Morgan Chase and Consensys, we are collaborating to achieve this goal through the Coco Framework and through our participation in consortiums like the Enterprise Ethereum Alliance.
- Introduce an enterprise grade, 3-tiered application platform that delivers the security, productivity, code re-use, and performance required for enterprise production deployments. Enterprise Smart Contracts is inspired by existing 3-tiered enterprise architectures, but designed from the ground up to be blockchain native featuring secure multi-party serverless compute.
- Deliver tools to empower customers get started on their own and experiment rapidly. The Azure Marketplace has become an open hub for developers to not only to access tools and resources to accelerate the blockchain revolution, but also to contribute by publishing their own templates. Read about the most recent additions to the Marketplace on the Azure blog.
- Design for extensibility by integrating a diverse set of non-blockchain capabilities to enable the development of an enterprise application including hosting and exposing scalable APIs, the ability to ingest data from apps, systems, and devices at scale. Utilize machine learning and big data technologies for data analysis to next generation services like cognitive services and bots.
Read more about it in the Azure blog.