Why Datadog Broke Your Heart (and How groundcover Helps You Move On)

Engineering teams often start using Datadog, a popular observability tool, during their early growth stages due to its recognition and effectiveness in monitoring metrics, traces, and alerts. However, as companies scale, they encounter high costs associated with Datadog's volume-based pricing model, leading to limited visibility and expensive bills. In response, some teams consider switching to open-source solutions but face challenges in maintaining these complex systems. The text suggests that the real problem lies in the SaaS observability model, which isn't suited for rapidly growing companies. It proposes using Bring Your Own Cloud (BYOC) and eBPF technology as alternatives, offering flat costs and full visibility without the drawbacks of traditional SaaS tools, thus advocating for a shift to more scalable observability solutions that align with company growth.

Use this post, company, and trend context to find content marketing opportunities, perform competitive analysis, or address product feature gaps via the Plushcap MCP server or the Plushcap API.