Blockchain in the enterprise
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The document discusses key considerations for enterprise blockchain implementations, including selecting a blockchain platform, runtime, and complementary technology stacks. It analyzes popular permissioned blockchain platforms like Hyperledger Fabric, Sawtooth, and Corda and cloud services from Azure, AWS, IBM and others. It also reviews relevant technology stacks for integration, testing, data storage, access and security. The conclusion recommends starting small and iterating when establishing a blockchain strategy to address challenges of real-world solutions.
Blockchain in the enterprise
- 1. Blockchain in the Enterprise: Lessons from the Trenches Invector Labs
- 2. About Invector Labs • Bringing deep-tech to the enterprise • Focused on groundbreaking technology trends: • Artificial intelligence • Blockchain technologies • Internet of things • Cybersecurity • Advanced cloud computing • …. • http://invectorlabs.com
- 3. Agenda • Blockchain in the enterprise: Challenges • Permissioned blockchain platforms • Permissioned blockchain runtimes • Permissioned blockchain stacks
- 4. Key Challenges of Real World Blockchain Solutions…
- 6. Key Decisions Selecting a Blockchain Platform Selecting a Blockchain Runtime Selecting a Complementary Technology Stack
- 7. Selecting a Blockchain Platform…
- 8. Permissioned Blockchains Hyperledger Fabric Sawtooth Ethereum Quorum Parity Pantheon R3 Corda Dfinity EOS
- 9. Selecting a Blockchain Platform…
- 10. Hyperledger Fabric Key Capabilities • Based on the open source Hyperledger implementation • Supports smart contracts via chaincode and containers(Java, Go, NodeJS) • Identity and privacy based protocols • Networks can be segmented in channels • Advanced toolset with products like Composer Strengths • Integration with external systems • Solutions portfolio • Partner community Weaknesses • Smart contract model • Toolset for app lifecyle management • Lack of support for public blockchain topologies
- 11. Hyperledger Sawtooth Key Capabilities • Based on the open source Hyperledger implementation • Supports for EVM smart contracts • Native supply-chain like tracking capabilities • PoET consensus model • Native support for Docker containers Strengths • Simple programming model • Interoperability with Ethereum • Flexible network topology using validators Weaknesses • Lack of developer community • Limited toolset • Integration with external systems
- 12. Quorum Key Capabilities • Permissioned version of the Ethereum blockchain • Various consensus mechanisms(Raft and Istanbul BFT implementations) • Privacy protocols based on zk-SNARKs • Support for private smart contracts • Access control policies Strengths • Ethereum interoperability • Privacy • Deployment and configuration Weaknesses • Small core development team and community • Integration with external systems • Management toolset
- 13. Parity Key Capabilities • Integration with both permissioned and public versions of Ethereum • Support for side chains • IPFS supports • Messaging capabilities • Privacy using secret stores Strengths • Ethereum interoperability • Developer friendliness • Tollset Weaknesses • Small core development team and community • Integration with external systems • Management toolset
- 14. Pantheon Key Capabilities • Integration with both permissioned and public versions of Ethereum • Support for various consensus protocols • Java-based extensibility • Messaging and RPC interfaces • Deployment via Docker containers Strengths • Ethereum interoperability • Proof-Of-Authority consensus • Whitelist-based access control Weaknesses • Small core development team and community • Integration with external systems • Management toolset
- 15. Corda Key Capabilities • Identity and access control via certificates • Support for transaction workflows via the flow framework • Integration with external systems via Oracles • Application encapsulation via CorDApps • Private node databases using Vaults Strengths • Privacy and access control • Network topologies • Workflow automation Weaknesses • Limited smart contract support • Integration with external systems • Small developer community
- 16. Selecting a Blockchain Runtime…
- 18. Azure Blockchain as a Service Key Capabilities • Support for different blockchains • Integration with popular development frameworks • Deployment and app lifecycle management • Integration with Azure services • Identity and access control Strengths • Tooling • DApp lifecycle management Weaknesses • Limited smart contract support • Integration with external systems • Small developer community
- 19. AWS Blockchain as a Service Key Capabilities • Integration with AWS Services • Identity and access control • Integration with Quantum ledger • Rapid provisioning • Support for Hyperledger Fabric and Ethereum Strengths • AWS developer and partner communities • Integration with external services • Identity and access control Weaknesses • Small number of supported blockchain runtimes • Limited tooling • Basic integration with blockchain development tools and frameworks
- 20. IBM Blockchain Cloud Key Capabilities • Robust support for Hyperledger Fabric • Integration with Bluemix services • DevOps and automation processes • Identity and access control • Monitoring Strengths • Scalable Hyperledger Fabric topologies • Privacy and security • Fabric development workflow Weaknesses • No support for other blockchain runtimes • Limited developer community • Lack of support for open source blockchain development frameworks and tools
- 21. Kaleido Key Capabilities • Support for different variations of Ethereum blockchains • Integration with open source enterprise systems and services • Blockchain first capabilities like wallets or block explorers • Integration with IPFS • Native support for AWS Strengths • Native blockchain components • Development tools and interfaces • Rapid provisioning and deployment Weaknesses • Lack of support for non-Ethereum blockchains • Small developer and partner communities
- 22. BlockApps Key Capabilities • Rapid Dapp development process • Messaging interfaces via Kafka • Compatibility with the EVM • Monitoring tools • Simple REST APIs Strengths • Simple Dapp lifecycle • Docker support • Toolset Weaknesses • Lack of support for non-EVM runtimes • Limited developer and partner communities • Very limited integration with external systems, security and other enterprise critical features
- 23. Selecting a Development Stack…
- 24. Relevant Blockchain Stacks Integration ChainLink Oraclize Testing Truffle Corda Testing Tools Ganache Hyperledger Composer Storage IPFS BigChainDB Swarm Data Access TheGraph Security & Privacy Ursa AZTEC Monitoring Hyperledger Caliper
- 25. Integration • Connecting to mainstream line of business systems • On-demand and scheduled execution • Integration with data storage systems • Bidirectional communication
- 26. Technology Blockchain Support Implementing Custom Line of Business Integration IPFS/Swarm Integration On-Demand and Scheduled Activation ChainLink 6 8 6 8 8 Oraclize 4 5 4 6 5 Azure Enterprise Smart Contracts 6 5 6 6 5 Aetirnity 4 4 5 4 4
- 27. Testing • Run and execute tests for smart contracts • Smart contract logging and instrumentation • Block exploration
- 28. Technology Test Creation Automated Test Execution Smart Contract Instrumentation Block Explorer Hyperledger Composer 5 4 2 2 Corda Testing 6 7 6 4 Ganache 8 8 7 7 Ether Tester 8 8 5 4
- 29. Data Access • Querying blockchain data on- demand • Interact with blockchains via APIs • Map blockchain data to queryable attributes
- 30. Technology Querying Smart Contract Data Execute Complex Queries Interact with Blockchain Data via APIs Add Semantic Info to Smart Contracts The Graph 8 6 7 6
- 31. Security and Privacy • Ability to perform computations over encrypted data • Hide specific aspects of blockchain transactions • Use different privacy and encryption models in blockchain data
- 32. Technologies Support zk_SNARKs Different Cryptographic Methods Integration with Different Blockchains Hyperledger Ursa 7 8 2 AZTEC 8 5 4
- 33. Data Storage • Associate large datasets with blockchain transactions • Querying blockchain data on-demand • Backup, restore and replicate large datasets in a blockchain network
- 34. Technologies Unstructured Data Storage Semi-structured Data Storage Immutability Data Querying Scalability IPFS 9 8 9 5 8 Swarm 7 7 9 5 7 BigChainDB 8 8 8 8 7 Quentum Ledger 7 8 9 8 6
- 35. Summary • The permissioned blockchain ecosystem is really crowded • When establishing a blockchain strategies organizations should consider the following steps: • Select a blockchain platform • Select a blockchain runtime • Select complementary technology stacks • Start small…iterate
- 36. Thanks!