Build an AI-augmented data lake using Iceberg, Glue, and Bedrock to turn static metadata into searchable intelligence with semantic tags and AI summaries.
Agentic AI addresses API testing issues through test creation and maintenance, intelligent test coverage, and more. Here's how to prepare development workflows for AI.
True resilience means multi-cloud architecture, spreading critical workloads across AWS, Azure, or GCP with shared data, global load balancing, and unified monitoring.
Static IAM users, login roles were killing our security posture and slowing everyone down. So we wired Okta and AWS with SAML and Okta Workflows for JIT access.
Dynamic AWS environments require both reactive and proactive monitoring approaches for secure and reliable operations. Learn about their differences and best practices.
Deploy, manage, and scale DocumentDB on Kubernetes with the new open-source DocumentDB Operator — cloud-native, PostgreSQL-based, and MongoDB-compatible.
With Stream API, developers could only customize terminal operations using Collector. Stream Gatherers allow developers to define custom intermediate operations.
Ready to use regression analysis for time series data? Explore how this method works in practice to effectively predict future outcomes and drive growth.
Learn how we replaced our traditional RDS serving layer with direct lakehouse querying to improve performance, reduce cost, and achieve real-time data freshness.
This article will explore the performance-related complexities that teams commonly face with write-heavy workloads and discuss your options for tackling them.
Tactical DDD transforms business understanding into code through seven core patterns — from entities to domain events — building software that truly reflects the domain.