Hyperledger Sawtooth 1.0 Released

 

The Hyperledger team just released Sawtooth 1.0 that is available to use for production now. Sawtooth is a project by the Hyperledger organization, which has five major products – Burrow, Fabric, Iroha, Sawtooth, and Indy.

From the announcement by Dan Middleton, Hyperledger Sawtooth Project Maintainer:

Today, we are pleased to announce Hyperledger Sawtooth 1.0 is now available! This is a major milestone for the Hyperledger community, as it marks the second blockchain framework that has reached production ready status. This Hyperledger Sawtooth 1.0 release is the culmination of work from several companies intent on creating a distributed ledger designed for the enterprise.

We would not have the rich features or deployment maturity today without the collaboration and contributions from these organizations (alphabetically): Active Ticketing, Amazon Web Services, Bitwise.io, Cloudsoft, Context Labs, Dot BC Media, Ericsson, Hacera, Huawei, IBM, Intel, Microsoft Azure, Monax, Open Music Initiative, PokitDok, R3, T-Mobile, Wind River, and several independent engineers.

With the launch of Sawtooth 1.0 we introduce several new enterprise features:

 

  • On-chain governance – Utilize smart contracts to vote on blockchain configuration settings such as the allowed participants and smart contracts.
  • Advanced transaction execution engine – Process transactions in parallel to accelerate block creation and validation.
  • Support for Ethereum – Run solidity smart contracts and integrate with Ethereum tooling.
  • Dynamic consensus – Upgrade or swap the blockchain consensus protocol on the fly as your network grows, enabling the integration of more scalable algorithms as they are available.

 

Going forward for 2018, Dan writes:

We are already in motion on more work in performance and new work in privacy. To the former, we are looking at both consensus and core implementation. We’d like to add another consensus option for those planning to run small networks. Within the core, we are looking at replacing targeted python modules with optimized components in languages like Rust. On the privacy front, we have contributors investigating both trusted execution and zero-knowledge cryptographic approaches. We look forward to our enterprise users contributing back pilot implementations in these spaces as well.

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