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Named on-call engineers, SLA-backed monitoring, and proactive health checks for Sybase ASE and SAP ASA — escalation paths defined before incidents happen, not during them.
From the moment an alert fires through post-incident review and capacity planning — everything your Sybase ASE and SAP ASA estate needs to stay stable and observable.
Named on-call engineer with agreed SLA tiers for P1, P2, and P3 incidents. When production breaks, a person picks up — not a ticket queue waiting for Monday morning.
Sybase MDA tables, monProcessActivity, and monDeadlock monitoring with custom alerting thresholds mapped to your OLTP peaks and batch windows — not off-the-shelf defaults that fire false alarms.
Weekly ASE health reports covering disk space, lock contention, tempdb usage, and slow query identification — catching problems before they escalate into incidents.
Every P1 and P2 incident gets a written root cause report covering the symptom, the underlying cause, the fix applied, and steps taken to prevent recurrence — not just a ticket closure note.
Backup job monitoring with alerting on missed or failed runs, weekly restore tests to confirm recovery integrity, and DR run-throughs on an agreed schedule — so you know backups actually work.
Monthly trend reports on data growth, tempdb pressure, and cache hit ratios — so storage and compute are provisioned ahead of demand, not scrambled for after the fact.
Every ticket enters at L1 and escalates only as far as needed — keeping Sybase expert time focused on genuine complexity, not routine triage.
First point of contact. Ticket intake, priority classification, and resolution of known issues using documented Sybase runbooks.
Senior Sybase engineers who diagnose root causes using MDA tables, develop fixes, and manage change-controlled deployments.
Principal Sybase architects for P1 critical incidents, Replication Server failures, and issues requiring engine-level or architectural changes.
Agreed response and resolution targets by priority — so you always know what to expect when something goes wrong with your Sybase environment.
| Priority | Criteria / Impact | Sybase Examples | Response Time | Resolution Target | Owner |
|---|---|---|---|---|---|
| P1 — Critical | Production ASE/ASA instance down. Business operations fully halted. | Instance crash, login failure, Backup Server down, Replication break | ≤ 15 minutes | ≤ 4 hours | L2 + L3 |
| P2 — High | Major functionality impaired. Significant business impact. | Severe lock contention, tempdb exhaustion, key stored procedure failures | ≤ 1 hour | ≤ 8 hours | L2 |
| P3 — Medium | Partial functionality impacted. Workaround available. | Slow query performance, non-critical job failures, cache hit degradation | ≤ 4 hours | ≤ 2 business days | L1 / L2 |
| P4 — Low | Minor issue or advisory. No immediate business impact. | Capacity advisory, configuration improvement requests, scheduled maintenance | ≤ 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 all plans.
Every Sybase incident follows a structured lifecycle — from the moment it's raised to the moment it's closed with a written root cause on file.
Sybase ASE's Management Detail Architecture (MDA) tables give deep, real-time visibility into engine behaviour — we build alerting around them mapped to your actual load profile.
Continuous polling of active sessions, wait states, and CPU consumption. Alerts fire when sessions exceed threshold or when a query exceeds agreed runtime limits.
monProcessActivityDeadlock detection and lock wait chain analysis to identify blocking sessions before they cascade. Threshold-based alerting triggers before a user notices degradation.
monDeadlock monLocksReal-time tempdb space utilisation monitoring with alerts at configurable watermarks — 70%, 85%, and 95% — so tempdb exhaustion never reaches a production incident.
monTempdbActivityData and procedure cache hit ratio tracked over time. Degradation below agreed baselines triggers an investigation before query response times deteriorate.
monDataCacheEvery backup job monitored for completion and failure. Missed or errored runs trigger immediate alert. Weekly restore tests confirm actual recoverability — not just backup log confirmation.
Sybase Backup ServerReplication Server latency and queue depth monitored continuously. Latency drift above threshold raises a warning; queue backlog triggers immediate L2 investigation.
rs_status admin who,rsSLAs agreed in writing before go-live. Response times, escalation contacts, and out-of-hours cover are confirmed upfront — no "best effort" clauses, no vague paths defined at 2am.
A named engineer who knows your environment. They attend onboarding, review your MDA baselines, and are the person paged when a P1 fires — not whoever is on duty that night.
Alerting tuned to your actual workload. Thresholds reflect your OLTP peaks, batch windows, and month-end cycles — suppressing noise during expected load and amplifying genuine anomalies.
A structured engagement so monitoring is tuned and SLAs are confirmed before the first incident — not configured reactively afterwards.
Connect to your ASE or ASA environment, capture baseline MDA metrics across your typical load profile, and agree SLAs and escalation contacts in writing before going live.
Deploy custom MDA-based alerting tuned to your OLTP peaks, batch windows, and month-end cycles — not default thresholds that produce noise and missed alerts in equal measure.
Named on-call cover begins. Incidents are triaged within SLA, root cause documented during resolution, fix applied and verified in the environment before ticket closure.
Monthly review of incident trends, capacity reports, and proactive recommendations — so the environment gets more stable over time, not just stabilised after each event.
Monitoring and tooling chosen for Sybase — not adapted from an Oracle or SQL Server stack. Every tool below is one our engineers use day-to-day on live Sybase environments.
Two recent Sybase production support engagements — from ending a healthcare network's monthly P1 firefighting to putting a written SLA behind a 24/7 dispatch operation.
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