Data as of Aug 16, 2026 · Based on 3,131,739 AI responses across 10,525 prompts · See how Parse measures this
Groundcover is a full-stack observability platform for engineers and agents that monitors infrastructure, applications, logs, traces, metrics, and real user sessions, deployed inside your cloud with BYOC to keep data private and cost predictable. It uses an adaptive eBPF sensor and OpenTelemetry support, plus Agent Mode—an AI-enabled 'engineer' that decides what signals to pull and what queries to run, with Skills to align its behavior to your team's conventions. The platform provides a single MCP to investigate issues, observe AI workloads, automate migrations from legacy stacks, and watch the user experience, delivering automated incident response and scalable observability for teams from startups to Fortune 5 enterprises.
Words AI uses
AI reaches for excellent · cost-effective · efficient when it describes groundcover.
Sources
groundcover.com shapes more of what AI says about groundcover than any other source, at 79% of its citations.
reddit.com · blog.dreamfactory.com · docs.groundcover.com · hashila-abeywardana1.medium.com
The market map
Log Management & Observability Platforms →Excerpts where groundcover appeared in the AI's answer

groundcover is unusually close to exactly what you're describing. Its Enterprise plan is currently $35 per host/month, rather than charging based on log volume, and it explicitly includes unlimited data retention.

groundcover is probably the first one I'd investigate. Its current documentation explicitly says log management is offered at a fixed cost, with any volume of logs for the same flat price, and that retention has no limitations.