Success Stories

Project Name

How a Leading Bank Service Provider Streamlined Real-Time Transaction Processing with Data Flow Manager

How a Leading Bank Service Provider Streamlined Real-Time Transaction Processing with Data Flow Manager
Industry
Banking
Technology
Apache NiFi

Loading

How a Leading Bank Service Provider Streamlined Real-Time Transaction Processing with Data Flow Manager
Overview

Our client is a leading digital bank handling millions of transactions daily across ATMs, POS terminals, mobile apps, and online platforms. They rely heavily on Apache NiFi to process and route transaction data in real time. NiFi played a pivotal role in ingesting data from multiple sources, transforming it into standardized formats, and routing it to core banking systems and fraud analytics engines, ensuring low-latency and high-availability processing. However, managing and deploying NiFi data flows across environments introduced significant operational bottlenecks and cost inefficiencies.

Challenges

The following are the challenges encountered by our client:

  • Manual NiFi Data Flow Deployment via Ansible Scripts:
    Our client relied on complex Ansible scripts to deploy NiFi data flows across environments. They created separate YAML configurations for each environment. This manual approach slowed down data processing and introduced potential for human error.
  • Inconsistent NiFi Data Flow Configurations Across Environments:
    Due to the manual process, the client experienced inconsistencies in NiFi data flow configurations across environments. This significantly impacted data accuracy and transaction routing reliability.
  • Heavy Dependence on NiFi Experts:
    Only a few team members possessed the deep NiFi and scripting expertise required for managing NiFi data flow deployments. This created bottlenecks and delays during critical updates.
  • Lack of Version Control:
    The client had no structured mechanism for tracking data flow changes, making it difficult to audit, troubleshoot, or revert to previous configurations in case of errors.
  • Difficulty in Rolling Back:
    In the event of a NiFi data flow deployment failure, restoring a previous stable version was a manual and time-consuming process. This risked extended downtime during high-volume transaction periods.
  • High Operational Costs:
    NiFi infrastructure costs were inflated due to a pricing model based on CPU usage, costing the client $2,500 per CPU. With nodes consuming multiple CPUs (anywhere between 2 to 16), these costs quickly escalated.
Our Solution

To resolve these challenges, the client implemented Data Flow Manager (DFM), a centralized, code-free platform for effortless NiFi flow management, from creation to deployment. It is designed to eliminate manual scripting and streamline environment-wide flow deployments. Here's how DFM transformed the process:

  • Code-Free NiFi Flow Deployment: DFM replaced the need for Ansible scripts with a user-friendly interface. This enabled the accelerated deployment of NiFi data flows across all environments.
  • Consistent Configuration Management: DFM eliminated the manual configuration of NiFi data flows. As a result, the client did not experience any configuration drift in NiFi data flows, ensuring accuracy in data processing.
  • No Deep NiFi Expertise Required: Team members without advanced NiFi or DevOps knowledge could now deploy and manage flows, reducing reliance on a small pool of experts.
  • Built-In Version Control: Every NiFi data flow deployment was automatically versioned, tracked, and logged. This enabled complete transparency and simplified audits for the client.
  • Instant Rollback Support: In the event of an issue or failure, DFM allowed quick rollbacks to previous stable versions of NiFi data flows. This minimized transaction disruptions and downtime.
  • Cost-Effective Pricing Model: DFM’s pay-per-node model replaced the costly CPU-based pricing structure. The client could now deploy unlimited NiFi data flows just by paying the cost for each node, and not CPU. This way, they saved 16X more cost.
Impact
  • Reduced NiFi Data Flow Deployment Time: What once took hours with scripts now takes minutes via DFM’s centralized interface.
  • Increased Team Agility and Independence: With no deep NiFi knowledge needed, more team members could manage flows, accelerating delivery and response time.
  • Improved Stability and Compliance: Version control and audit trails enhanced governance and simplified compliance reporting for financial regulations.
  • Zero-Downtime Rollbacks: Quick restoration of prior versions reduced risk during updates and ensured uninterrupted transaction processing.
  • Cost Savings Up to 70%: The switch to node-based pricing drastically cut infrastructure costs, improving ROI on NiFi investments.
Conclusion

By implementing Data Flow Manager, the digital bank not only eliminated operational inefficiencies in deploying NiFi data flows but also built a robust foundation for reliable, real-time transaction processing. DFM brought agility, transparency, and cost control to the forefront, empowering the institution to scale its operations with confidence while maintaining the integrity and speed customers expect from modern banking services.

Manage Your NiFi Flows Effortlessly with AI and Zero-Code and Save up to 70%!

Get a 15-Day Free Trial

What is 4 + 9 ? * icon