Built from decades of building and operating distributed systems.
Seismo was created around a persistent operational problem: monitoring can identify a degradation, but determining the responsible layer still requires manual correlation.
Why Seismo exists
The hardest part often begins after the alert.
An endpoint degrades. The alert arrives. Operators still need to determine what changed, which systems are involved, and where the investigation should begin.
The space between knowing something broke and understanding why is the Diagnostic Gap. Seismo turns the search across operational signals into a correlated diagnosis with a most likely cause, supporting evidence, and recommended next steps.
The question behind every incident
Which layer is responsible?
A customer-facing endpoint can be affected by several layers at once. The investigation must separate recent change, internal behavior, and external dependency health.
A recent change
A deployment or configuration change may have introduced a regression.
An internal system
An application, service, database, or infrastructure component is degraded inside your environment.
An external dependency
A declared cloud or SaaS service is experiencing degradation.
The founder
Veda Hegde
Founder and Principal Engineer
More than 20 years across networks, cloud platforms, and reliability operations.
Veda's experience spans telecom networks, IPTV, streaming media, cloud infrastructure, platform engineering, and reliability operations. She has worked on systems where a configuration error, provider degradation, or network event can affect millions of customer interactions.
Across Time Warner Cable and SiriusXM, she led work that crossed engineering, operations, architecture, vendors, product, and senior leadership. That experience reinforced a consistent lesson: distributed-system failures rarely respect team or technology boundaries.
Seismo applies that operating perspective to the Diagnostic Gap. It is designed to help teams distinguish the layer responsible for an endpoint degradation and begin the investigation with correlated context.
How we build
Correlation should make the next question clearer.
Seismo checks available operational signals for configured endpoints and declared dependencies, then brings relevant context together when an endpoint degrades. The goal is a diagnosis that operators can inspect, confirm, and use to guide the next investigation step.
We publish only capabilities that have been verified in the production diagnosis path. Claims about additional signals or learning behavior remain gated until that verification is complete.
Start with your first endpoint
See how Seismo fits your incident workflow.
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