The "Why"

Modern infrastructure has outgrown human-scale operations. Servers, GPUs, firmware, OS, hypervisors et al evolve independently, across vendors and generations. Telemetry is fragmented, spread across tools and databases with no shared context. Monitoring & Alerting systems try to paper over this complexity with dashboards, thresholds, and scripts; but end up being noisy, brittle, and reactive.

Asama treats heterogeneity as a first-class constraint; normalizing data from different sources into a unified memory layer that understands vendor diversity, mixed SKUs, aging hardware, and constant drift.

Detection & RCA: Beyond Thresholds and Dashboards. Traditional monitoring depends on static thresholds, hand-tuned rules, and dashboards. When issues emerge, engineers must manually stitch together signals across layers. Correlation & RCA is ad hoc and non-methodical. Asama detects issues by correlating signals across the stack. Detection, correlation & RCA become continuous and contextual, not alert-driven.

Remediation Is the Harder Problem. Even when issues are understood, remediation is largely tribal knowledge driven: ad-hoc runbooks, one-off scripts, and fragile automations that age quickly as fleets evolve. Scaling remediation requires coordination, approvals, maintaining automations and often manual execution. Our focus is on Remediation as a system capability. Asama’s remediation workflows are agentic but controlled with human-in-the-loop where needed, autonomous where safe.

Future of Infrastructure Management. Asama turns into a flywheel. Faster root-cause discovery improves reliability. Reliable remediation reduces repeat incidents. Fewer incidents reduce operational load. Over time, buffers shrink, and senior engineers are free from ad hoc asks. Infrastructure becomes a stable, invisible foundation that evolves safely alongside the software it supports.