StackScopesCompany information
StackScopes is operated by Stack Scopes Technology LTD. CO. Our company address is Eski Mudanya Caddesi, No:40, Mudanya, Bursa 16940. Telephone: +90 5320661965. General inquiries may be sent to hello@stackscopes.com.
Why StackScopes exists
Modern cloud environments change too quickly for static diagrams and isolated dashboards to explain how a system behaves. Teams need a current model of resources, dependencies, identities, data, customers, and change.
Our mission
StackScopes exists to help engineering teams understand operational consequence before failure, change, or recovery pressure makes that understanding urgent.
A living-system view
Cloud resources are not operationally meaningful in isolation. StackScopes models the relationships among infrastructure, workloads, identities, data stores, changes, incidents, owners, tenants, and recovery constraints so a team can reason about the environment as a changing system.
AWS-first product focus
The initial StackScopes product scope centers on AWS accounts, resources, configuration, identity, telemetry context, infrastructure as code, and the operational workflows that connect them.
Who the platform is for
StackScopes is designed for platform engineering, site reliability engineering, DevOps, cloud security, engineering leadership, FinOps, SaaS, and enterprise cloud teams that need shared operational context across complex environments.
Product category
StackScopes is a cloud infrastructure digital twin, failure simulation, and operational intelligence platform. The product combines a dependency graph, temporal state, simulation engine, AI-assisted investigation, and controlled recovery.
Long-term vision
The long-term product direction is to make cloud-operational decisions more explainable: connect infrastructure evidence, system behavior, change, customer impact, and recovery without asking teams to surrender review or production authority.
Product philosophy
Evidence should remain visible. Uncertainty should not be hidden. Read-only discovery should remain separate from restricted execution. Production-impacting automation should remain human controlled, policy-bound, auditable, and reversible where the workflow supports rollback.
Security-first design
Access boundaries, tenant context, data minimization, encryption, auditability, evidence provenance, and safe offboarding are part of the product model rather than material added only after analysis is complete.