Project Name
How a Telecom Giant Automated NiFi CDR Flow Deployments with Data Flow Manager
The client is a national telecom provider with over 15 million mobile and VoIP users, handling millions of Call Detail Records (CDRs) daily for billing, analytics, and fraud detection. They use Apache NiFi to build real-time data pipelines that ingest CDRs from network switches, normalize and validate them, enrich them with customer data, and route them to billing systems and BI dashboards. While NiFi streamlined processing, the client relied on the manual deployment of data flows across clusters – exporting/importing templates, editing environment-specific variables, and coordinating with DevOps for every change. This led to delays, configuration errors, and limited agility.
The manual deployment of CDR flows significantly impacted the client’s business – it slowed down the release of critical updates. Here are some other major challenges:
- Environment-Specific Configuration Errors: Each environment had different server endpoints, authentication keys, and schema references, all of which had to be manually modified during deployment. The manual deployment led to frequent misconfigurations, which resulted in failed CDR ingestion or routing issues, leading to inaccurate billing and incomplete analytics.
- No Version Control or NiFi Flow Deployment History: The client’s team lacked visibility into which version of a flow was deployed, who made the changes, or when it was last updated. As a result, debugging failed deployments or data discrepancies took hours, affecting operational efficiency and SLA compliance.
- Heavy Dependence on DevOps for NiFi Flow Deployment: Data engineers had to rely on DevOps teams for every flow promotion, even for minor updates. This created bottlenecks, reduced team autonomy, and delayed time-to-market for fraud detection enhancements and compliance reporting.
- No Safe Rollback Mechanism: In case of a faulty deployment, restoring a previous working version was entirely manual and unreliable. This affected real-time processing and triggered potential penalties.
We implemented Data Flow Manager, a centralized, code-free platform to design and deploy NiFi flows, to overcome the client’s above challenges. Here’s how our solution helped the client:
- Code-Free Flow Deployment Automation: Our solution enabled seamless deployment of NiFi flows across clusters without writing any code. The client considerably reduced deployment time from hours to minutes, accelerating release cycles and operational agility.
- Environment-Specific Flow Configurations: Data Flow Manager simplified the fine-tuning of environment-specific variables like server URLs, API keys, and credentials without manual edits. This automation eliminated human error, ensuring consistent and reliable flow behavior across all environments.
- Built-In Versioning & Audit Logs: Every flow change was tracked with version history, user metadata, and deployment logs.
- Freed up the IT Operations Team: Data Flow Manager allowed existing developers and platform engineers to independently manage and deploy flows without relying on DevOps. This resulted in boosted team productivity, reduced deployment backlog, and increased responsiveness to business needs.
- Easy Rollbacks: Our solution enabled quick reversion to prior stable versions in case of faulty deployments.
- 70% Reduction in Deployment Time: NiFi flow deployments that earlier took hours were reduced to just minutes, accelerating the rollout of billing updates and fraud detection improvements.
- 60% Reduction in the Workload of the IT Ops Team: With self-serve deployment for data teams, the IT Ops team was freed from repetitive flow promotion tasks and could focus on infrastructure optimization
- Improved Revenue Accuracy & Fraud Detection: Timely and error-free CDR processing ensured accurate billing and real-time flagging of anomalies, enhancing both revenue assurance and customer satisfaction.
- Reduced Downtime & Operational Risk: One-click rollback and version control significantly lowered recovery time during faulty deployments, ensuring business continuity and regulatory compliance.
By adopting Data Flow Manager, the telecom provider transformed their CDR processing pipeline into a fully automated, scalable, and reliable system. What was once a bottleneck-laden, error-prone deployment process is now a seamless experience, empowering data teams, accelerating time-to-market, and ensuring uninterrupted, real-time call record processing. The result is not just operational efficiency but also improved billing accuracy, faster fraud detection, and enhanced customer trust – critical outcomes for a business operating in a high-volume, high-stakes industry.
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