Industry solution · SaaS

Scale without your DevOps team growing linearly.

Obsyd automates operations, incident response and autoscaling of your SaaS platform — so growth doesn't mean new hires every time.

DORANIS-2EU AI ActCRA

SaaS: typical stack & where it breaks

SaaS platforms grow in complexity faster than in headcount. Multi-tenant operations, constant deployments and autoscaling tie up senior engineers in routine and on-call duty — time that's missing for product and architecture.

Obsyd takes over the recurring operations load: it detects deploy regressions, catches broken releases, keeps an eye on cross-tenant uptime and remediates routine incidents automatically. So the infrastructure scales without headcount growing linearly.

The SaaS stack — and where Obsyd sits

Obsyd sits as an autonomous watcher over your existing stack. You keep your tools — Obsyd observes, fixes and documents across every layer.

App & Hosting

Multi-tenant application, containerized and scalable.

KubernetesAWSVercel

Data

Primary data and caching — consistency across all tenants.

PostgreSQLRedis

CI/CD & IaC

Versioned, reproducible releases and infrastructure.

GitHubGitLab CITerraform

Obsyd (AI-Ops)

Observation, triage and rollback across the whole stack.

WatcherAuto-remediationRCA report

What Obsyd catches here

Real incident patterns from practice — detected, fixed and documented as a root-cause report automatically.

Release breaks for individual tenants

A deploy goes through, but features break for certain tenants. Obsyd detects the regression in telemetry, rolls back precisely and delivers the root-cause report.

Autoscaling reacts too late

Load spikes hit the platform faster than manual scaling can react. Obsyd steers against it proactively, before customers feel latency.

Login errors pile up in the logs

23 failed logins to one service — a human won't see that after hours. Obsyd reads the logs, connects the knowledge and resolves it via restart or rotation.

What measurably lands

−45%MTTR (time to recovery)
0linear headcount growth
24/7triage & rollback

Ideal for SaaS providers in the sweet spot of 30–70 employees: enough operational complexity, but not (yet) a fully staffed DevOps team.

Automate SaaS operations?

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