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Why Observability Tools Tend to Fail at Scale | Akamai

Akamai·Jul 21, 2025 Swati Kumar·about 1 month ago
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Observability is no longer just about catching errors or checking if a server is up. In modern distributed systems, it’s about understanding behavior across dozens, if not thousands, of services, all running in different environments and generating massive amounts of data. That level of complexity is exactly why choosing the right observability tool matters so much. The wrong decision doesn’t just slow you down. It can drain your budget, impact your performance at scale, and lock you into a system that no longer fits once your product takes off. Any good architect will tell you that building great observability into a product requires ease-of-onboarding, high performance (even at scale), and a system that keeps it independent of the application itself. Switching observability tools later is painful and expensive. It’s best to avoid vendor lock-in from the beginning and choose something that can grow with you. The Stage 3 Scaling Problem But that’s easier said than done.…

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