#Conduit Posts

Stale Data

Stale Data is Killing Your AI Models: Why Real Time Data is the Best Path Forward

In today’s fast-paced AI landscape, relying on outdated, static datasets can lead to inaccurate models, costly retraining cycles, and delayed time-to-market for AI features. Real-time data pipelines offer a game-changing solution, enabling AI systems to stay accurate, scalable, and cost-effective by continuously learning from current conditions. With benefits like a 40% reduction in model hallucinations, faster deployment, and lower infrastructure costs, real-time data is essential for building reliable applications such as fraud detection, recommendation engines, and Customer 360 profiles. Discover how Meroxa’s platform empowers organizations to implement real-time data pipelines and unlock the full potential of their AI initiatives.

By  DeVaris Brown

 25 Nov 2024

THN hero

Case Study: Streamlining Data Flow for The Hotels Network with Meroxa

The Hotels Network (THN) partnered with Meroxa to streamline data flow between their sales and support teams, overcoming siloed data and complex architecture challenges. Using Meroxa’s Conduit Platform, THN achieved a unified, real-time pipeline from Salesforce to Redpanda, reducing operational costs by 30% and enhancing customer support capabilities. The solution’s scalability ensures THN can continue to grow and optimize operations seamlessly.

By  Dion Keeton

 13 Nov 2024

conduit hero

Conduit Operator v0.02 with Schema Registry Support!

We’re excited to introduce the latest update to the **Conduit Operator**, now with built-in **schema registry support**. This new feature allows seamless data encoding and decoding, improving data compatibility across your pipelines. Whether you're managing multiple Conduit instances or scaling your data operations, schema registry integration ensures a smoother, more reliable experience for handling complex data flows.

By  Lyubo Kamenov

 25 Oct 2024

Pipeline Recovery

Unlocking Resilience: Conduit v0.12.0 Introduces Pipeline Recovery

The Conduit team has just released Conduit v0.12, and we're gearing up for the launch of Conduit v1 with a focus on making pipelines more resilient. One key feature of this release is pipeline recovery, designed to automatically restart pipelines that experience temporary errors like network interruptions or service downtime. With configurable backoff settings, Conduit can efficiently handle retries, reducing the impact of transient issues. Learn more about this feature and how it ensures your pipelines are always up and running.

By  Haris Osmanagić

 11 Oct 2024

Conduit Platform

Announcing the New Conduit Platform by Meroxa

We are thrilled to introduce our latest offering, the Conduit Platform, which brings a host of new features and improvements designed to enhance your real-time data streaming experience, now powered by our robust Conduit open-source core. This transformation brings enhanced performance, scalability, and usability, coupled with access to over 100 connectors maintained by our dedicated open-source community. Here’s a closer look at what’s new and how it can benefit your data operations.

By  Dion Keeton

 18 Jun 2024

conduit

Conduit 0.10 comes with Multiple collections support

Explore the new features and enhancements in Conduit version 0.10, designed to streamline your data integration processes. Discover how our latest update can help improve efficiency, security, and performance for your data operations. Upgrade today and transform how you manage data with Conduit 0.10

By  Haris Osmanagić

 29 Apr 2024

Conduit 0.7

Conduit 0.7 gets us one step closer to being a full functioning, feature rich alternative to Kafka Connect.

By  Rimas Silkaitis

 19 Jul 2023

Conduit 0.5 is Now Available

Conduit 0.5: We made an easy-to-configure Dead Letter Queues (DLQ) through HTTP & gRPC, extending health checking, & adding capabilities with Debezium records.

By  Uchenna Anyanwu

 28 Feb 2023

Conduit 0.4

Conduit is a tool to help developers build streaming data pipelines between production data stores and messaging systems.

By  Rimas Silkaitis

 15 Dec 2022