Managed IT Services

Traditional MSPs react to incidents. SRE as a service is proactive — error budgets, SLOs, blameless post-mortems, and continuous reliability improvement. We instrument everything, predict failures before they happen with AIOps, and treat reliability as an engineering discipline — not a helpdesk function.

AIOps uses ML models to analyse your metrics, logs, and traces and surface anomalies before they become incidents. In practice: noise-reduced alerting, automated root cause suggestions, and predictive capacity alerts. Your on-call engineer gets a notification with a probable cause and suggested runbook — not a pager blast at 3am with no context.

We commit to 99.95% uptime SLA (4.3 hours downtime per year) as standard, with 99.99% available for Tier 1 production systems with active-active multi-region architecture. SLAs are backed by financial credits and measured against your actual user-facing availability.

All incidents follow a defined playbook: detect → classify → acknowledge (within 5 minutes for P1) → diagnose → mitigate → resolve → post-mortem. Escalation paths are pre-agreed per client. You always know who is handling what and when.

Yes — and we do this regularly. We start with a 2-week discovery phase: inventory, instrumentation audit, runbook documentation, and risk assessment. By week 3 we're monitoring live. By week 8 we've closed the highest-risk gaps and are operating to full SRE standards.