Foam

Foam gives engineering teams a conversational way to check what applications, AI agents, and infrastructure are doing in production. It opens the pull requests needed to install instrumentation, then collects traces, logs, and metrics without making the team build dashboards first. Engineers can ask about a release, investigate clustered and deduplicated errors or anomalies, and follow a problem across services. Foam also watches error rate, latency, spend, and product-specific signals. When behavior changes, it can notify the responsible engineer with a likely cause and a suggested response. It works alongside Datadog, Sentry, and other observability tools, so adoption does not require an immediate migration. The listed plan costs $2,000 per month and includes 250 investigations, ingestion, indexing, clustering, alerting, and unlimited seats. There are no host, metric, span, or event fees, and billing stops at the plan limit. Data retention is separate at $25.30 per TB per month. The tradeoffs are straightforward: a predictable bill and broad data collection, but a high starting price, a fixed investigation allowance, and some monitoring features still labeled Alpha or Beta.