Hyperledger > Case Studies > Splunk correlates data across all datasets— including Hyperledger Fabric

Splunk correlates data across all datasets— including Hyperledger Fabric

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Company Size
1,000+
Country
  • United States
Product
  • Splunk
  • Hyperledger Fabric
Tech Stack
  • Blockchain
  • Distributed Ledger Technology
  • Cloud Computing
Implementation Scale
  • Enterprise-wide Deployment
Impact Metrics
  • Customer Satisfaction
  • Digital Expertise
  • Productivity Improvements
Technology Category
  • Analytics & Modeling - Big Data Analytics
  • Application Infrastructure & Middleware - Data Exchange & Integration
  • Platform as a Service (PaaS) - Data Management Platforms
Applicable Industries
  • Finance & Insurance
Applicable Functions
  • Discrete Manufacturing
  • Logistics & Transportation
Use Cases
  • Cybersecurity
  • Predictive Maintenance
  • Supply Chain Visibility
Services
  • Cloud Planning, Design & Implementation Services
  • Data Science Services
About The Customer
Splunk is a company focused on removing barriers between data and action, has enabled customers to have complete monitoring and observability into their own data by bringing it all into one place, regardless of format. Splunk’s customers include 92 Fortune 100 companies. Before choosing a blockchain platform, it wanted to know what its customers were already using. And many of them used Hyperledger Fabric. S&P Global delivers data, research, and credit ratings, among other things, to governments, companies, and individuals. Its Ratings division provides independent data and insight to the marketplace. In 2019 it was entering a new region. S&P took this opportunity to explore modern technologies and new ways of doing business. It decided to build a content management solution from scratch with innovative technology and security.
The Challenge
Large organizations have always struggled to get visibility into their data. Frequently, data comes in many sources and formats while also being siloed across the organization. DLTs add ledger data and metadata to the mix. Similarly, consortiums need to interoperate with each other. Yet organizations often use disparate tools for logs, metrics and tracing. All these are deployed on different clouds or on-prem. Then they build their own tools to take data from the ledgers and put it into a SQL database. Consortiums may include competitors who don’t trust one another, so they don’t want to share data. But, if no one shares data, it can be challenging to determine if an organization has a problem or if it lies in the network.
The Solution
Splunk is now offering open source solutions allowing the ingestion of ledger data and corresponding metadata while correlating with other data sources. Not only the blocks and transactions but also chaincode events. In a nutshell, Splunk has created a solution that allows any organization to answer any question, from security to observability. This is the launch of a new era in Fabric networks, where silos between organizations, infrastructure providers, and data sources are eliminated. Splunk already ingests data without caring about structure, schema, or format. This feature saved the company the trouble of formatting Hyperledger Fabric data before ingestion. That flexibility allowed developers to send data to Splunk and then figure out what to do with it.
Operational Impact
  • Splunk has enabled customers to have complete monitoring and observability into their own data by bringing it all into one place, regardless of format.
  • Splunk is now offering open source solutions allowing the ingestion of ledger data and corresponding metadata while correlating with other data sources.
  • Splunk has created a solution that allows any organization to answer any question, from security to observability.
  • Splunk already ingests data without caring about structure, schema, or format. This feature saved the company the trouble of formatting Hyperledger Fabric data before ingestion.

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