Below you will find pages that utilize the taxonomy term “Observability”
Dash0 Raises $35M to Build the First AI-Native Observability Platform
$35 million Series A funding positions Dash0 to scale the first AI-native observability platform built around Agent0, an SRE AI agent that acts as a copilot for developers and operators.
The funding round was co-led by existing investors Accel and Cherry Ventures, with participation from DIG Ventures, as Dash0 addresses the fundamental enterprise bottleneck of observability systems that are “too noisy, too expensive, and too complex.”
The Signal-to-Noise Crisis
Traditional observability generates alerts that wake developers at 3 AM with cryptic error messages and overwhelming data volumes. Enterprise teams spend more time parsing monitoring dashboards than actually solving problems, creating a massive operational bottleneck.
Rubrik Launches Agent Rewind for AI Mistake Recovery Infrastructure
Enterprise deployment of autonomous AI agents faces a new bottleneck: when agents make mistakes, how do organizations undo the damage? Rubrik’s new Agent Rewind, launched August 12th following their Predibase acquisition, becomes the first platform specifically designed to trace, audit, and reverse unwanted AI agent actions.
As AI agents gain autonomy to modify databases, delete files, and change configurations, the stakes of agent errors escalate beyond traditional software bugs. IDC Research Manager Johnny Yu frames this as the emergence of “non-human error” - a fundamentally new category requiring purpose-built recovery infrastructure.