Event description

This three-day course provides a highly practical training on Hyperledger Fabric with 75% lab exercises and 25% theory lectures. Every student gets personal attention and works with a trainer experienced in developing blockchain applications on Fabric.


By the end of the course, you will design an application and learn how to integrate it with external file storages. You will become proficient in blockchain and fully armed to build real-life applications of any complexity on your own.




Course duration:


3 days (8 hrs per day).




Course deliverables




  • Architecture of the production-grade apps built on the native Hyperledger Fabric




  • Network administration and performance monitoring




  • Chaincode patterns used in popular business functions




  • Integration¬†with external data sources and services




  • UI/UX development







Who should attend




  • DevOps engineers setting up and running Hyperledger networks




  • Chaincode developers writing in Golang/Java/Node.js




  • UI/UX developers






Prerequisites and skills


All attendees work on their laptops with:




  • Local installation of Ubuntu 16 (dual boot or virtual)




  • Docker, Docker-compose, Golang v1.8 or higher




  • An IDE with Golang support: Eclipse, VSCode, JetBrains




  • The t2.medium EC2 instance on AWS for a multi-host deployment




Basic knowledge of Golang, Java, or JavaScript (syntax, control flow)


Basic understanding of PKI and Docker




Training program


Day 1. 


Architecture of the production-grade Apps




  • Ordering mechanism:





    • Kafka-Orderer: how it works (theory)




    • Multi-host network setup with the Kafka-Orderer (practice)





  • Database choice: LevelDB vs. CouchDB (pros and cons, practical considerations)




  • MSP/CA integration with local credential store:





    • MSP/CA user authentication vs. API-managed user authentication




    • LDAP





Network administration




  • Adding new orgs to a running network






  • Hyperledger Fabric version upgrade




  • Network productivity metrics, performance benchmarking and tuning




  • Parameters tuning by Kafka cluster design




  • Managing of Hyperledger containers




  • Security assurance




  • Troubleshooting








Day 2. 


Chaincode patterns used in popular business functions




  • Automotive supply chain: spare parts provenance and tracking chaincode (Golang)




  • National depository: bonds issuance and P2P transfer (Golang)




  • (Re)insurance: integration with external systems (Java)




  • Over-the-counter trading: implementation of ‚Äúprivate collections‚ÄĚ introduced in the HLF v1.2 (Golang)




  • License management platform: chaincode integration with the notification system (Golang)




  • Useful techniques:





    • Interaction between chaincodes: read-only queries within a channel and between two channels, use case examples




    • Hyperledger Fabric events usage: events mechanism, use case examples





  • Difference between implementing chaincode in Golang and Node.js and best practices




  • Algorithmics: how to write efficient chaincode and avoid typical mistakes






Chaincode interaction with various types of data sources (including ERP and CRM systems)




  • On-chain / off-chain data




  • Push vs. pull scenarios for reading the external data by the chaincode




Chaincode version upgrade on a running network






Day 3. 


Integration of Hyperledger Fabric with external apps




  • Data feeds from oracles




  • Interaction with payments systems, e-commerce platforms




  • IoT and blockchain




Web and mobile interface as an integral part of blockchain app




  • Integration of the UI with the blockchain layer: best practices




Q&A session






About the Trainer:





Greg Skerry Blockchain Solutions Architect, Trainer



Greg joined Altoros as a supporting Trainer on Blockchain and Hyperledger Fabric.
Previous to this position, Greg worked as Project Manager at Thomson Reuters where he was involved in systems integration and product management of an industry-first cloud-based tax analytics and reporting platform, advising implementations for Fortune 500 and Fortune 100 clients.
Greg also previously worked in Senior Analyst and Senior Consultant positions at BDO LLP, and at Ernst & Young, LLP. Greg graduated from the Software Engineering Immersive at Fullstack Academy of Code in New York City, centered on full-stack JavaScript programming, including Node.js, Angular, React.js as well as SQL and NoSQL data architectures, and has developed distributed applications using the Ethereum framework. He holds a B.A. in International Economics from University of Virginia.



FAQs:


Am I a good fit? You need some knowledge of Golang or Java: know syntax, control flow. Blockchain experience is nice to have, but not required.


Can I pay by invoice?¬†Please send details at¬†training@altoros.com: full name, number of tickets, your address or your company’s address (if the invoice is paid by the company).


If you have questions about the program or doubts whether this course is a good fit for you, please get in touch with us at¬†training@altoros.com¬†and¬†we’ll connect you with the trainer!


!¬†Please note the training is contingent upon having 7 attendees. If we don’t have enough tickets sold, we will cancel the training and refund your money one week prior to the training.Thanks for the understanding.



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About the Organizer:


Altoros is a digital transformation consultancy that has built a reputation in blockchain space. We are an active member of Hyperledger project, contributing expertise of our engineers.


We have built a number of blockchain application prototypes for insurance and financial services clients and conducted technical training on Hyperledger Fabric 0.6 for a large financial services corporation, as well as a number of blockchain workshops for executives in (Re)Insurance, Lending & Securitization field.


Read blockchain news and insights on our blog


Watch free recorded webinars on Hyperledger-related topics (choose tag HYPERLEDGER)




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