AWS, Azure, Google Cloud & OCI
AmrudAi’s cloud infrastructure scope connects accounts, regions, compute, storage and managed services with routes, security policies and provider changes. Cloud teams can evaluate resource dependencies while keeping API permissions, quotas and collection freshness explicit. This page focuses on provider infrastructure and network evidence; Kubernetes workload investigation has its own detailed workflow.
Choose the operational question
Compare the resource symptom with the latest successful API collection, permission scope, quota state and independent service observations. Then inspect the resource’s network and ownership context. AmrudAi’s documented cloud workflow keeps those questions together so a stale inventory, provider notice or changed route does not become an unsupported outage conclusion.
| Evidence | Useful check | What remains uncertain |
|---|---|---|
| Provider API | Last successful collection, denied permissions, quota and region scope. | Missing API evidence does not identify customer impact. |
| Resource and network | Instance health, route, security rule, NAT, load balancer and recent changes. | A plausible dependency still needs time-aligned observations. |
| Service observation | Authorized checks and supported workload evidence from the affected location. | A result applies to its source, target and measurement window. |
Continue with: Hybrid cloud observability overview · Kubernetes workload investigation .
The application experience
See the complete workspace. Enlarge any image to inspect its panels, navigation and evidence at actual size.
Bring the hybrid cloud investigation back together.
Correlate resource health and cloud API evidence with routes, security rules, NAT, load balancers, private circuits and VPNs. Account, subscription, project and region context stay connected to the service your team owns.
The capability in detail
Discover provider hierarchies across AWS, Azure, Google Cloud and OCI. Accounts, subscriptions or projects, regions and resources retain their provider identity while joining the same governed entity model used by the rest of the estate.
Reconcile resources as they appear, change and disappear so short-lived instances and workloads do not produce a disconnected trail. Keep lifecycle and time context available when reviewing an incident after the resource has changed.
Connect VPCs/VNets, subnets, route tables, routes, NICs and security policies with NAT gateways, transit or interconnect resources, private endpoints and cloud load balancers where applicable. Follow reachability through the dependencies that control the path.
Bring workload resource use together with relevant quota and autoscaling evidence. Distinguish saturation inside an instance from a scaling or provider-limit condition that prevents the service from adding capacity.
Relate cloud storage and database entities to their region, network and consuming service. Compare availability, performance and capacity signals with application symptoms to identify a shared dependency or localized resource problem.
Place provider health and incident information beside observed resource and synthetic evidence. A provider event helps focus the investigation while independent service checks show how your own environment is actually affected.
Bring material route, security, load-balancer, infrastructure and control-plane changes into the unified timeline. Link actor or service identity, affected resources and revision references where provided to test the most relevant change hypothesis.
Use supported provider flow logs when enabled in your environment to enrich network and service investigations. Preserve source, direction, coverage and collection quality, with volume, privacy and retention controls aligned to the provider and your policy.
Follow cloud load balancers into their targets, Kubernetes services and workloads, then on to databases, queues or external APIs where evidence exists. The same graph connects cloud resources to on-premises paths and business services.
Expose authentication failures, throttling, provider quotas, stale data and connector health separately from resource health. Controlled polling, rate budgets and bounded collection let operators assess the evidence without mistaking an API-access issue for an outage.
From information to action
Start with the affected business service and preserve the account, region and incident interval.
Inspect load-balancer targets, compute, network routes and security context, storage and managed database dependencies.
Place audit and deployment facts beside provider events, resource telemetry and permitted path or synthetic checks.
Validate reachable, healthy behavior through the relevant cloud and hybrid dependencies after the approved action.
Built around your operating environment
Connect cloud hierarchies and service evidence with scoped provider access, transparent collection quality and deployment-specific data controls.
Connect the workflow
No. The model includes cloud hierarchies, compute, storage, databases, load balancers, network routes and security context, quotas, provider health and Kubernetes relationships. These connect to the services that consume the resources.
Yes. Route, security-policy and other material control-plane changes are correlated with resource dependencies, path evidence and service checks. Timing and affected scope help test the change as a possible cause.
No. They contribute when supported and enabled, under your provider capability, policy and collection configuration. Resource and service monitoring retain their own evidence and quality status.
AmrudAi exposes rate-budget pressure, throttling, freshness and connector-health evidence. The resource's operational state is assessed from available trustworthy signals rather than treating missing API data as proof that the resource failed.
Explore the technology, service dependencies and operating requirements that matter to your team.
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