Autonomous AI agents transform cloud ecosystems by automating data workflows, enhancing scalability, governance, and real-time analytics for resilient operations.
Apache Iceberg + AWS Glue + S3 bring ACID, schema evolution, and time travel to data lakes—fixing schema drift, small files, and cost sprawl at enterprise scale.
The default settings in AWS Aurora Global may not work for everyone. This article explains various settings and their implications in availability and consistency.
Automate document analysis with YOLOv9, Apache Spark, and AWS. Boost speed, accuracy, and fraud detection across finance, healthcare, insurance, and more.
Learn in this article how to fix distributed monoliths with Domain-Driven Composable Architecture and build independent, composable microservices on AWS.
In the current modern distributed architecture, this article will explain how to execute a Kubernetes Job with optimized and multiple parallel worker processes.
Yes for most ETL scenarios, ADF handles data movement, basic transformations, and scheduling well, just don't expect it to replace custom code for complex business logic.
A modern search approach unlocks deeper insights, more relevant results, and boosts productivity across organizations; here's how AWS OpenSearch fits into this landscape.
Enterprise apps demand reliable navigation. Learn to implement deep linking using Hilt, ViewModel, and UseCases, with real-world flows and built-in security.
In this article, learn how to set up centralized configuration in Spring Boot using HashiCorp Consul for dynamic, environment-specific settings management.
Learn how to build resilient microservices with Kubernetes, gRPC, and the Circuit Breaker pattern to prevent cascading failures and improve reliability.