unlock Your IBM Z&i INSIGHTS
With GoodLabs Real-Time IBM Z&i Modernization.
IBM Z&i Trap
IBM Z&i, while robust for transaction processing, pose huge challenges for modern analytics due to ultra-high costs, constrained technology, and a significant shortage of skilled professionals.
GoodLabs, with deep IBM Z&i modernization expertise, unlocks your data in near real-time using Precisely CDC and Confluent, unveiling critical intel accurately through cloud-native analytics and advanced AI.
IBM Z&I 3.0
The GoodLabs IBM Z & i Modernization Architecture provides a robust approach to transforming existing Z and i systems into a modern, analytics-ready ecosystem.
The architecture begins with Precisely CDC Connect, which captures changes from Z and i data sources, including DB2, VSAM, and IMS, and converts them into real-time CDC streams. These streams are then secured using the GoodLabs Encryption Extension, encrypting CDC payloads before delivery to Confluent for high-throughput, low-latency CDC processing.
A.I. Enabled IBM Z&I
Within Confluent, time-sensitive analytics on IBM Z & i CDC data can be performed using Kafka Streams (KStreams) or Apache Flink, enabling immediate, real-time insights.
Confluent Tableflow then reconstructs the full Z & i datasets in Apache Iceberg, establishing a durable foundation for modern analytics platforms—including Databricks, Snowflake, Amazon Athena, and Google BigQuery—to perform advanced analytical workloads. Databricks further enables AI engineering pipelines, supporting large-scale model training, inference, and AI-driven analytics across the enterprise.
SPEAK TO OUR PRECISELY ARCHITECT
For your IBM Z & i modernization, across data integration, real-time analytics, and AI readiness, look no further.
Our engineering team designs, deploys, and optimizes production-grade architectures that transform mainframe and midrange systems into modern, analytics-ready and AI-enabled platforms.