Chaos engineering, the practice of proactively injecting failure to test system resilience, has evolved. For enterprises today, the focus has shifted from chaos to reliability testing at scale. “Chaos testing, chaos engineering is a little bit of misnomer,” Kolton Andrus, founder and CEO of Gremlin , told SD Times about the term with which he launched the company. “It was cool and hot for a little while, but a lot of companies aren’t really interested in chaos. They’re interested in reliability.” For large enterprises, disaster recovery testing—such as a data center evacuation or testing the failure of a cloud region—is a massive undertaking. Customers have spent hundreds of engineering man-months to put these exercises together, resulting in infrequent tests. This leaves organizations vulnerable to risks that only appear under load. The new focus is on building scaffolding to make this testing repeatable and easy to run across a whole company by clicking a few buttons. Andrus...
Opsera is releasing several new agents as a part of its Agentic DevOps offering that proactively manage DevOps workflows in an attempt to address some of the bottlenecks introduced by AI-assisted coding. According to a recent report from the company, AI-assisted coding can speed up metrics like Time-to-Pull Request or test pass rate, but it is also subject to bottlenecks that slow delivery down, such as longer PR review times. For example, the company found that AI-assisted workflows had a 48-58% faster average Time-to-Pull Request, but that AI-generated pull requests wait 4.6x as long to be reviewed compared to human-written ones. Opera also found that AI-generated code suffered from issues like increased code duplication (13.5% vs 10.5%) and security vulnerabilities (15-18% more) compared to human-written code. “Enterprises require a new approach to govern and manage the velocity of AI-driven development. Agentic DevOps addresses this challenge by introducing autonomous agents th...