Project Name

How Ksolves Cuts Telecom Costs with Confluent to Kafka Migration

How Ksolves Cuts Telecom Costs with Confluent to Kafka Migration
Industry
Telecommunication
Technology
Confluent Kafka, Apache Kafka, Apache Kafka MirrorMaker 2

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How Ksolves Cuts Telecom Costs with Confluent to Kafka Migration
Client Overview

A leading telecom analytics firm aimed to modernize its infrastructure by migrating from Confluent Kafka to a fully open-source Apache Kafka environment. The client’s vision was to reduce high licensing costs, eliminate vendor lock-in, and establish a scalable, cloud-hosted solution without compromising system performance or risking downtime.

Key Challenges

The client’s Confluent Kafka environment was deeply integrated with multiple mission-critical applications operating 24x7. Key challenges included:

  • High Licensing Costs: The recurring cost of Confluent’s enterprise licensing was significantly impacting the client’s budget. Migrating to an open-source Kafka solution offered a clear path to substantial cost savings.
  • Zero Downtime Requirement: The Kafka cluster supported several mission-critical, 24x7 applications. Even minimal downtime could severely disrupt real-time analytics and downstream data pipelines.
  • No Data Loss Tolerance: The Kafka topics handled high-throughput telemetry data where the integrity and continuity of event streams were critical, with zero tolerance for data loss.
  • Application Compatibility: The client’s applications were tightly integrated with the Confluent Kafka ecosystem. A seamless migration without requiring code-level changes was essential to ensure business continuity.
  • Infrastructure Migration: Shifting from a Confluent-managed environment to an open-source Kafka deployment demanded meticulous planning for resource provisioning, scaling, and monitoring integration.
Our Solution

Our experts collaborated closely with the client to design a migration approach tailored to their complex Kafka environment. Each step was carefully planned to address critical business, operational, and technical requirements.

  • Initial Assessment: We successfully identified all active Kafka topics, producers, consumers, and their interdependencies, and thoroughly reviewed Confluent-specific components such as the Schema Registry, access controls, and monitoring hooks to plan and design equivalent open-source replacements
  • Open-Source Kafka Cluster Setup: Our experts provisioned a high-availability, open-source Apache Kafka cluster, secured with TLS, SASL, and strict ACL policies. We engineered it for robust resilience and reliable message durability using optimal replication settings.
  • Real-Time Replication Using MirrorMaker 2: We configured MirrorMaker 2 to enable real-time replication of topics from the Confluent cluster to the open-source Kafka cluster. Throughout the process, we ensured the preservation of message order, partition structure, and replication factors.
  • Data Intergity Validation: We verified message integrity and order between the source and target Kafka clusters to ensure accurate data replication. We continuously monitored lag, throughput, and message consistency to maintain replication quality.
  • Phased Cutover Strategy: Migrated applications to the new Kafka cluster in carefully planned stages, beginning with low-risk services to minimize operational impact. Infrastructure-level redirection was implemented to avoid hardcoded broker address changes in the application configurations.
  • Backward Compatibility Assurance: We retained the original topic structure, schema compatibility modes, and message formats to maintain system integrity. With this, we ensured that no code-level changes were required for existing producer or consumer applications.
  • Post-Migration Testing & Monitoring: Validated the system’s performance and stability under real load conditions after the migration. During the transition, we ensured that all data pipelines and user-facing services remained fully operational and unaffected.
  • Decommissioning Legacy Setup: After successfully verifying all services on the new Kafka cluster, we safely decommissioned the legacy Confluent environment.
Impact
  • Cost Savings: Eliminated Confluent licensing fees by transitioning to a fully open-source Kafka environment.
  • Zero Downtime: Ensured uninterrupted service for all mission-critical applications throughout the migration.
  • Data Integrity: Maintained 100% data consistency and message order without losses.
  • Operational Flexibility: Empowered the client with a scalable, cloud-hosted, open-source solution free from vendor lock-in.
  • Seamless Migration: Delivered a smooth, application-transparent transition without code-level changes.
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Ksolves successfully migrated the client’s Kafka infrastructure from a licensed Confluent setup to a fully open-source Apache Kafka environment, achieving zero downtime, no data loss, and complete application compatibility. This migration not only reduced operational costs and eliminated vendor lock-in but also provided greater flexibility, control, and scalability for the client’s future growth. To ensure long-term reliability, Ksolves offered dedicated 24×7 support during and after the migration, proactively monitoring system health and performance to maintain operational continuity and deliver a seamless, future-ready streaming solution.

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