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AI-native companies can now deploy the first observability platform designed for LLM scale directly to their Google Cloud environments

Agent Mode Now Powered by Google Vertex AI, Bringing In-Cloud, AI-Powered Production Analysis Natively to GCP Environments

AI is reshaping platform engineering. At KubeCon EU 2026, vendors showcased autonomous troubleshooting, observability-driven agents and tools to manage shadow AI.

Discover how groundcover is revolutionizing observability for the AI era with EBPF technology and autonomous AI agents that bridge the gap between production monitoring and development workflows.

There’s a problem with modern observability that almost nobody talks about openly: your monitoring stack might be hurting the systems it’s supposed to protect.

groundcover announced the general availability of groundcover AI Mode, a native AI capability designed to help engineering teams investigate production incidents and analyze infrastructure behavior directly inside their own cloud environments.

SAN FRANCISCO — groundcover, the observability platform for modern architectures, today announced the general availability of groundcover AI Mode, a native AI capability designed to help engineering teams investigate production incidents and analyze infrastructure behavior directly inside their own cloud environments.

Devops teams must implement observability standards now to avoid the coming wave of AI technical debt.

eBPF captures everything. The AI Mode can actually use it.

For years, observability was supposed to be the great equalizer. The way every team could understand their systems, debug faster, and ship with confidence. But somewhere along the way, it became the opposite: Complex, expensive, and increasingly constrained.

NTT Data execs and security researchers at MWC warn that AI is reshaping telecom and software development faster than teams can adapt, with new risks at every layer.