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Category: Streaming

Black banner with Treehouse Software and meshIQ logos, announcing mainframe data migration to Snowflake and AWS through Apache Kafka in bold green text.

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Moving Mainframe Data to Snowflake and AWS Through Apache Kafka®: Treehouse Software and meshIQ

Treehouse Dataflow Toolkit moves mainframe data from Db2, VSAM, and IMS through Apache Kafka® pipelines into Snowflake and AWS targets. meshIQ keeps the streaming layer visible and stable. Together they give data science teams continuously updated enterprise data for AI and ML.

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Moving Mainframe Data to Snowflake and AWS Through Apache Kafka®: Treehouse Software and meshIQ
A promotional graphic with the meshIQ logo and the text: "The AI Bottleneck: Why Your Modern Models Are Choking on Legacy and Streaming Data Architecture."

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The AI Bottleneck: Why Your Modern Models Are Choking on Legacy and Streaming Data Architecture

Enterprise AI struggles not from inadequate models, but from fragmented data architecture. Critical business data remains trapped in legacy systems or lost in streaming complexity. Success requires bridging the gap between modern intelligence layers and underlying systems of record.

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The AI Bottleneck: Why Your Modern Models Are Choking on Legacy and Streaming Data Architecture
A graphic with the meshIQ logo and the text: The Art of Scaling: How to Determine the Right Number of Kafka Partitions on a black background with green and white lettering.

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The Art of Scaling: How to Determine the Right Number of Apache Kafka® Partitions

Apache Kafka® partition count isn't just a number—it defines parallelism, ordering, and operational complexity. Learn the formula to balance throughput requirements with maintenance costs, avoid common anti-patterns, and find your 'Goldilocks' number for production-ready performance.

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The Art of Scaling: How to Determine the Right Number of Apache Kafka® Partitions
A promotional graphic with the meshIQ logo and text: Beyond the Queue: Modernizing Legacy Middleware with Apache Kafka 4.x on a dark background with abstract shapes.

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Beyond the Queue: Modernizing Legacy Middleware with Apache Kafka® 4.x

Apache Kafka® 4.x eliminates the final barriers to legacy middleware modernization. With KRaft mode removing ZooKeeper dependency and native queue semantics bridging the gap, enterprises can finally transition from point-to-point messaging to event-driven architectures.

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Beyond the Queue: Modernizing Legacy Middleware with Apache Kafka® 4.x
A black background with the meshIQ logo and text: Modernizing Middleware for the AI Era in green and white letters.

Blog

Modernizing Middleware for the AI Era

As AI adoption accelerates, middleware complexity intensifies. In this discussion with meshIQ CEO Navdeep Sidhu, discover why governance—not speed—has become the defining factor for enterprise success, and why fragmented middleware environments can no longer be ignored in the AI era.

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Modernizing Middleware for the AI Era
A graphic with the meshIQ logo and text: Apache Kafka® vs. Apache ActiveMQ® – Deciding the Right Open-Source Platform for Your Use Case on a black background.

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Apache Kafka® vs. Apache ActiveMQ®: Deciding the Right Open-Source Platform for Your Use Case

Learn the key differences between Apache Kafka® and Apache ActiveMQ® — from messaging models to performance, scalability and use cases — and see how meshIQ improves observability across both platforms.

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Apache Kafka® vs. Apache ActiveMQ®: Deciding the Right Open-Source Platform for Your Use Case
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