When an upstream API slows down or quietly rate-limits requests, your customers feel the pain long before your team finds the cause. Error rates spike, retries pile up, queues fill, and internal services appear unreliable. The hard part is proving it isn’t you. Traditional observability tools only show symptoms inside your stack — latency, 5xx errors, and timeouts across services — making it nearly impossible to tell whether the real problem is internal or hiding in an external provider.
Causely changes that. With eBPF auto-instrumentation, Causely sees client communication with external services and maps those dependencies directly into your topology and causal reasoning engine. When a provider slows down, Causely shows exactly how the impact ripples across your services and identifies the external API as the root cause. That means your team can stop chasing internal alerts and start taking action — escalating with proof in hand or triggering fallback strategies.
Watch the video to see how Causely helps you go from symptoms to root cause instantly, even when the root cause isn’t yours.
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