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Making AI-Generated Fashion Looks Shoppable at Scale

Learn how AI-generated fashion looks are converted into real, purchasable products using intelligent matching, enabling seamless outfit-to-cart shopping at scale.

Turning AI-generated outfits into real, purchasable products is one of the biggest challenges in modern fashion tech. This article explores how Glance bridges that gap—mapping AI-generated looks to real inventory at scale, enabling users to go from inspiration to “add to cart” in a seamless, intelligent shopping experience.

From AI Outfit to Add to Cart: Making AI-Generated Fashion Looks Shoppable at Scale

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Learn how Glance uses AI-powered knowledge graphs to connect news, uncover relationships, and deliver personalized, context-rich content experiences.

Learn how Glance uses AI-powered knowledge graphs to connect news, uncover relationships, and deliver personalized, context-rich content experiences.

Unlocking News Connections with AI-Powered Knowledge Graph

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Reducing Hidden Cloud Costs: Inter-Zone Optimization in GKE

In large-scale Kubernetes environments, hidden costs like inter-zone data transfer can quietly inflate cloud bills. This article explores how Glance identified this “silent drain” in GKE and re-architected workloads to reduce unnecessary cross-zone traffic—cutting infrastructure costs by 40% without compromising performance.

Taming the Silent Drain: How We Slashed Inter-Zone Costs in GKE by 40%

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Building Change Data Capture Pipeline

Learn how Glance built a real-time change data capture pipeline using Kafka, Debezium, and Hudi to enable scalable, low-latency data processing.

Learn how Glance built a real-time change data capture pipeline using Kafka, Debezium, and Hudi to enable scalable, low-latency data processing.

Building Change Data Capture Pipeline with Confluent Kafka, Debezium and Hudi on Kubernetes

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Resolving Redis Cluster Spikes at Glance

Learn how Glance diagnosed and resolved Redis cluster spikes by optimizing workload distribution and improving system performance.

Redis clusters can experience sudden performance spikes due to uneven load distribution, connection surges, or inefficient data patterns. This article explores how Glance diagnosed and resolved Redis cluster spikes by identifying bottlenecks, rebalancing workloads, and optimizing system behavior—resulting in more stable and reliable performance at scale.

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Handling your ugly ducklings

Explore the hidden challenge of enterprise engineering—maintaining quality across millions of lines of legacy code, hundreds of services, and large-scale systems beyond showcase projects.

Learn how Glance handles anomalies and edge cases (“ugly ducklings”) to improve system reliability, data quality, and performance at scale.