AI coding tools boost commit metrics, but hide deeper issues. Learn how the SPACE framework reveals real developer productivity beyond traditional DevOps metrics.
DevOps speeds delivery and risk. Without built-in security, vulnerabilities reach production fast — DevSecOps embeds automated security into the pipeline.
QA is evolving for AI-driven business, focusing on data quality, model validation, and risk management to ensure reliable, trustworthy, well-governed systems.
No composition of feature stores, vector DBs, and stream processors can guarantee Decision Coherence. Here's the correctness gap in multi-agent systems.
By a technology correspondent who has sat through enough war rooms to know that the data you need is almost always in a system nobody thought to connect.
An analysis of 50,000+ repositories shows PR-detected vulnerabilities get fixed 9x faster. Here's what the data says about when and where you catch security issues.
Cosmos DB stores durable state; Redis acts as a coordination layer, enabling predictable, stateless scaling without sticky sessions, strong consistency, or high costs.
In this article, you will learn how to reliably implement post-commit actions in Spring Boot using a dedicated annotation, ensuring consistent behavior.
Treat cloud cost as a real-time system metric tied to deployments. With tagging, CI/CD estimates, and alerts to service owners, teams can catch spend spikes early.
Agent observability is often missing in the rush to build AI agents. NeMo adds observability to AI agents, helping trace, evaluate, and debug multi-agent workflows.
Learn how to automate CloudWatch alerts, Kubernetes remediation, and incident reporting using multi-agent AI workflows with the AWS Strands Agents SDK.
Pool names in Airflow can contain any characters, but the metrics system can't handle them. I traced the root cause and got a backwards-compatible fix and merged it.