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Incident response, AWR-based monitoring, and proactive health checks tied to SLOs you define — escalation paths clear before issues occur, not during them. Named engineers, not a support queue.
From 24/7 on-call through root cause analysis to proactive capacity planning — support that keeps your Oracle estate observable and stable.
Named on-call engineers with defined SLAs. When production breaks, the right person is paged immediately — not a generic support queue.
AWR and ASH-based analysis, custom dashboards, and alerting thresholds that match your business hours and batch windows — not off-the-shelf defaults.
Post-incident reviews that identify the true cause — not just the symptom — and produce a remediation plan that prevents recurrence.
Scheduled reviews of space, segment health, invalid objects, and redo log status — catching issues before they become incidents.
Trend analysis and growth forecasting so storage, tablespace, and compute resources are provisioned ahead of demand, not scrambled for after the fact.
All monitoring setup and incident playbooks documented and handed off — no opaque black-box support dependency on OptiSol.
Every ticket enters at L1 and escalates only as far as needed — keeping expert time focused on genuine complexity.
First point of contact. Ticket intake, priority classification, and resolution of known issues using documented runbooks.
Senior Oracle engineers who diagnose, develop fixes, and manage change-controlled deployments for complex incidents.
Principal Oracle architects for P1 critical incidents, RAC/Data Guard failures, and issues requiring architectural-level changes.
Agreed response and resolution targets by priority — so you always know what to expect when something goes wrong.
| Priority | Criteria / Impact | Examples | Response Time | Resolution Target | Owner |
|---|---|---|---|---|---|
| P1 — Critical | Production system down. Business operations fully halted. | DB connection failure, instance crash, login impossible | ≤ 30 minutes | ≤ 4 hours | L2 + L3 |
| P2 — High | Major functionality impaired. Significant business impact. | Key query failures, DataWindow errors, report generation broken | ≤ 2 hours | ≤ 8 hours | L2 |
| P3 — Medium | Partial functionality impacted. Workaround available. | Slow performance, non-critical errors, print issues | ≤ 4 hours | ≤ 2 business days | L1 / L2 |
| P4 — Low | Minor issue or cosmetic defect. No business impact. | UI formatting issues, label text errors, minor field alignment | ≤ 1 business day | ≤ 5 business days | L1 |
* Response times are measured from ticket receipt during agreed support hours. SLAs are customised per engagement. 24×7 coverage available for P1/P2 on request.
Every ticket follows a structured lifecycle — from the moment it's raised to the moment it's closed and documented.
We match our support posture to your business hours, on-call windows, and compliance requirements — not the other way around. SLAs are agreed up front, response roles are named, and escalation paths are written down before anything goes wrong.
Monitoring is built around your actual workload patterns — OLTP peaks, batch windows, month-end reporting cycles — so alerting fires on meaningful deviations, not noise. Every incident produces a post-incident review with a genuine root cause, not just a symptom description.
Real outcomes from Oracle production support engagements — incident reduction, SLA recovery, and stable operations restored.
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