Author: Bijoy Choudhury

Learn how real-time decisioning and autonomous data systems enable organizations to act on data instantly using streaming, automation, and AI.

Learn how to safely break off your first microservice from a monolith using a low-risk, incremental migration approach.

Master MongoDB Atlas Connectors on Confluent Cloud. Go beyond basic setup with architectural best practices for Source and Sink. Learn to ensure idempotency, handle CDC events, tune performance, and configure precision filtering for resilient, high-velocity data pipelines.

Manual Apache Kafka® monitoring and tool sprawl drive hidden costs in time, complexity, and cloud spend. Learn how Confluent lowers total cost of ownership for Kafka with integrated monitoring.

Discover the real cost of building a data streaming platform in-house. Learn what drives expenses, compare to managed solutions, and see how to optimize total cost of ownership for platforms powered by Apache Kafka®.

Explore the hidden costs of real-time streaming—compare infrastructure, ops, and ROI between Confluent Cloud and self-managed Apache Kafka®. Learn how auto-scaling and governance lower TCO.

Learn how to scale Kafka Streams applications to handle massive throughput with partitioning, scaling strategies, tuning, and monitoring.

Learn how to handle data transformation, schema evolution, and security in Kafka Connect with best practices for consistency, enrichment, and format conversions.

Learn best practices for running Kafka Connect in production—covering scaling, security, error handling, and monitoring to build resilient data integration pipelines.

Learn how to automate BI with real-time streaming. Explore event-driven workflows that deliver instant insights and close the gap between data and action.

Discover why microservices architectures thrive with event-driven design and how streaming powers applications that are agile, resilient, and responsive in real time.