Chronosphere, a New York-based observability startup valued at $1.6 billion, announced Monday it will launch AI-Guided Troubleshooting capabilities designed to help engineers diagnose and fix production software failures — a problem that has intensified as artificial intelligence tools accelerate code creation while making systems harder to debug.The new features combine AI-driven analysis with what Chronosphere calls a Temporal Knowledge Graph, a continuously updated map of an organization's services, infrastructure dependencies, and system changes over time. The technology aims to address a mounting challenge in enterprise software: developers are writing code faster than ever with AI assistance, but troubleshooting remains largely manual, creating bottlenecks when applications fa [...]
Managing and maintaining AI systems remains a challenge for many enterprises, particularly with the potential for agentic sprawl to expose businesses to risky entry points. Microsoft entered the obse [...]
Amazon Web Services on Wednesday introduced Kiro powers, a system that allows software developers to give their AI coding assistants instant, specialized expertise in specific tools and workflows — [...]
The software industry is racing to write code with artificial intelligence. It is struggling, badly, to make sure that code holds up once it ships.A survey of 200 senior site-reliability and DevOps le [...]
Google Cloud experienced outages today that led to disruptions for many online services. Reports of issues for Google products and others began around 2 PM ET. The company was able to restore function [...]
When OpenAI went down in December, one of TrueFoundry’s customers faced a crisis that had nothing to do with chatbots or content generation. The company uses large language models to help refill pre [...]
As software systems grow more complex and AI tools generate code faster than ever, a fundamental problem is getting worse: Engineers are drowning in debugging work, spending up to half their time hunt [...]