Production-grade operations for ERPNext
ERPNext is powerful. Most production pain comes from operating it without visibility, control, safe upgrades, and proven recovery. This platform is the missing operational layer that makes ERPNext survivable at scale.
If downtime is acceptable or logs are “good enough,” this platform is not designed for you.
The operational layers ERPNext needs at scale
Each pillar addresses a class of failure that shows up once ERPNext becomes business-critical.
Observability & Control
See what’s happening inside ERPNext - queues, workers, retries, and scheduler health - and take safe actions.
- Background jobs fail quietly; the business notices hours later.
- Queue backlogs and worker starvation cause slowdowns and timeouts.
- Operators need evidence and control, not SSH and guesswork.
- Queue health overview (depth, throughput, worker health).
- Failure hotspots grouped by method, recurrence, and time window.
- Safe actions: retry, requeue, cancel - with guardrails and audit trails.
- Operational alerts tied to runbooks, not noise.
A control plane for RQ queues: failures, retries, stuck jobs, worker health, and evidence trails.
ERPNext-aware signals: CPU, memory, disk, load, plus correlation to queue stress and scheduler health.
Upgrade Safety
Stop treating upgrades like gambling. Quantify risk, generate fix lists, and upgrade with discipline.
- Customization drift breaks after version bumps.
- Third-party apps pin dependencies and silently block upgrades.
- Teams delay upgrades until security or downtime forces action.
- Risk scoring with evidence: what will break and why.
- Compatibility checks: apps, APIs, patches, environment readiness.
- Generated upgrade runbook: verification steps + rollback plan.
Preflight checks + risk scoring across scripts, reports, apps, dependencies, and environment constraints.
Structured upgrade runbooks: steps, verification, known pitfalls, ownership, and rollback readiness.
Data Protection & Recovery
Backups are not safety. Restores are. Prove recovery readiness before incidents happen.
- Teams have backups but don’t test restores.
- Retention is inconsistent, and evidence is missing during incidents.
- Recovery becomes guesswork under pressure.
- Automated backups with retention and audit trails.
- Restore verification as routine, not crisis activity.
- Operator UI to browse, download, restore, and prove readiness.
Scheduled backups, retention controls, restore workflows, and restore verification evidence.
Operational Knowledge
Treat documentation as infrastructure: owned, searchable, current, and tied to operations.
- Knowledge lives in one person’s head and disappears when they leave.
- Docs become stale because nobody owns them.
- Incidents are chaotic without runbooks and shared procedures.
- Runbooks and SOPs designed for incident response and operations.
- Search-first knowledge that stays close to the system.
- Ownership, review cadence, and change history.
Operational documentation: runbooks, SOPs, technical references, and searchable operational truth.
Explore each capability in depth
Technical details, workflows, and operator outcomes for each platform component.
Queue depth, worker health, failure grouping, safe retries, audits.
Preflight checks, risk scoring, fix lists, runbooks, rollback planning.
Automated backups, retention, restore workflows, restore verification.
Want fewer mysteries and more predictable operations?
We’ll assess your environment (queues, upgrades, backups, performance, and integrations), then propose a practical plan to improve reliability and operational control.