The Autonomous Cloud Infrastructure Operating System
Designed from first principles to decouple cloud management from physical vendor primitives, delivering multi-cloud resilience, Google gVisor kernel virtualization, and deterministic closed-loop healing.
1. OBSERVE: Unified Telemetry
Lightweight eBPF probes intercept Linux network sockets and syscalls directly at the kernel boundary without agent overhead. Aggregates microservice traces, connection pool states, and P99 latency scorecards across AWS, GCP, and Azure into a single real-time pane.
- • Real-time eBPF byte-level socket tracing
- • Single-pane telemetry across heterogeneous cloud providers
- • 72% reduction in Mean Time to Resolution (MTTR)
2. PREDICT: Machine AIOps
Continuous time-series machine learning models forecast resource trajectories, predicting container Out-Of-Memory (OOM) events and SLO error budget exhaustion hours before users encounter degradations.
- • Linear regression memory drift alarms
- • Multi-window SLO error budget burn velocity tracking
- • 89% of potential outages intercepted pre-emptively
3. HEAL: Closed-Loop Remediation
Deterministic state machines isolate degraded pods, drain inbound traffic through Envoy proxies, spawn verified replacements in userspace sandboxes, and execute 5-point verification checks with cryptographic audit signatures.
- • Autonomous Recovery Time Objective (RTO) < 12.0 seconds
- • 5-point synthetic probe validation before traffic restoration
- • Cryptographic SHA-256 audit ledger for compliance transparency
4. SCALE: Elastic Multi-Cloud Mesh
BGP Anycast routing and portable OCI container digests decouple application workloads from underlying hypervisors, enabling seamless active-active distribution between AWS Mumbai, GCP Delhi, and Azure Pune with zero cloud vendor lock-in.
- • Sub-second RPO multi-region block replication
- • Second-by-second spot tier arbitrage saving 38% on compute
- • 100% sovereign Indian in-country data residency
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