Products Built for Mission-Critical Infrastructure
Explore the five foundational engines powering ILN INDIA. Engineered for high-throughput multi-cloud synchronization, zero-trust container security, deterministic self-healing, and developer velocity.
Multi-Cloud Autonomous Fabric
Active-Active Cross-Cloud Orchestration (AWS, GCP, Azure & K8s)
Eliminate vendor lock-in with deterministic workload routing. ILN INDIA dynamically synchronizes state, storage, and ingress routes across AWS, Google Cloud, Microsoft Azure, and bare-metal Kubernetes clusters with sub-second RPO and automatic failover.
vVisor Workload Kernel Sandbox
Google runsc Userspace Linux Microkernel Virtualization
Run untrusted builds, container workloads, and third-party code without risking host root compromise. Every container execution is trapped and virtualized inside a Google gVisor userspace kernel with complete IMDS metadata protection.
Closed-Loop Deterministic Healing
Zero-Touch Automated Incident Remediation & Rollbacks
Detect, diagnose, and recover from production failures before customers notice. The closed-loop autonomous engine monitors live telemetry, isolates failing deployments, and triggers verified zero-touch rollbacks within 8 seconds.
7-Point SLO Matrix & Error Budgets
Multi-Window Burn Rate Monitoring with Automated Release Freezes
Replace raw dashboard noise with actionable error budget governance. ILN INDIA tracks seven contractual Service Level Objectives across multiple time windows, automatically freezing deployments when error budgets burn too rapidly.
Ephemeral PR Previews & Serverless DB
Instant Full-Stack Branching with Wildcard TLS & Neon PostgreSQL
Accelerate shipping velocity with automated preview environments for every pull request. ILN INDIA automatically provisions full-stack preview sandboxes with instant copy-on-write database branches and unique subdomains.
Ready to Deploy Sovereign Infrastructure?
Connect your AWS, GCP, Azure, or bare-metal Kubernetes cluster in less than 5 minutes. Zero disruption to existing live production workloads.
