Sanity testing is often overlooked, yet it can catch script errors in minutes and prevent days of troubleshooting. Read this blog to learn how it is done right.
Our serverless system crashed from traffic surges. With chaos engineering, we purposely broke Lambda, tested failures with AWS FIS, and achieved 99% uptime, 30s MTTR!
Prevents the appearance of escaped defects using left-shift testing, test prioritization, test optimization, exploratory testing, and knowledge transfer.
Doris SQL Cache can intelligently remember query results and make repetitive queries as smooth as silk, thus significantly improving query performance.
Learn how AI-driven observability transforms monitoring with proactive issue detection, smarter analysis, and seamless integration into modern IT systems.
Event-driven architecture enables scalable, real-time systems by decoupling components. Strategies for design, challenges, and maintenance are explored here.
Learn SRE best practices for Java applications to ensure high availability, performance, and scalability, covering monitoring, logging, security, and more.
LLMs simplify time series forecasting by handling messy data and context. Combined with stats, they cut errors by 31%, delivering better, easier forecasts.
This article discusses how to optimize Snowflake on AWS with advanced storage, compute, and query efficiency techniques with best practices and SQL examples.
Scalability ensures systems handle growth in traffic or data while maintaining performance. This can be achieved via vertical scaling or horizontal scaling.
Learn to optimize React apps by diagnosing re-renders, using React.memo, lazy loading, and advanced strategies like context splitting and list virtualization.