The blog post discusses the concept of incremental processing as an approach to efficiently handle new or changed data in workflows. It highlights the benefits of reducing compute costs and execution time, minimizing failures, and simplifying pipelines. The post focuses on Netflix's efforts to address workflow challenges by developing an Incremental Processing Solution (IPS) using Netflix Maestro and Apache Iceberg. It explains the design, advantages, and emerging patterns of incremental processing, showcasing how IPS improves data accuracy, freshness, and backfill support. The post also presents use cases comparing traditional lookback window patterns with the efficiency of IPS, demonstrating significant resource savings. Future plans include enhancing IPS capabilities for more complex scenarios and adding managed backfill support. The blog acknowledges the contributions of team members and leaders at Netflix in developing and refining the IPS solution.