XcellHost AIOps applies machine learning to your metrics, logs, traces and events — correlating alert storms into a handful of real incidents, spotting anomalies before thresholds fire, pointing at the root cause and running approved fixes. Operated 24×7 by our NOC in Mumbai.
AIOps — artificial intelligence for IT operations — applies big data and machine learning to operations data such as metrics, logs, traces and events. It automates event correlation, anomaly detection and root-cause analysis, so engineers work on a few real incidents instead of thousands of alerts.
Monitoring collects signals and fires alerts on thresholds. AIOps sits on top: it learns normal behaviour, groups related alerts, ranks the likely cause and can run approved fixes. Your existing monitoring usually stays and becomes a data source.
No. We work with leading observability platforms, cloud-native monitoring on AWS, Azure and Google Cloud, Prometheus and Grafana, and OpenTelemetry*. Where there are gaps, we recommend the lightest tool that closes them.
No. Every runbook is written and tested with you and sits behind an approval gate. You decide which low-risk actions, such as clearing a temp folder, may run automatically and which need a named approver. Every action is logged in the ticket.
It depends on how many duplicate and related alerts you have today. We measure your baseline during onboarding and report noise and MTTR every month. We do not promise a fixed percentage before we have seen your data.
Operational telemetry — metrics, logs, traces and events — not business records. We can keep it in Indian data centres, mask sensitive fields at ingestion and agree retention with you, including the 180-day option for CERT-In.
It drafts plain-English summaries, timelines and post-incident reviews from the incident's own alerts, changes and notes. An engineer reviews every summary before it is shared; it does not take actions on its own.
Leading ITSM platforms* with two-way updates: incidents open with context, update as the NOC works them and close with resolution notes. If you have no ITSM tool, tickets run in XcellHost's.
One host or VM, container cluster, database instance, network device or service endpoint. Essential includes 100 and Professional 300; extra entities are ₹199* each per month. Enterprise is sized after an assessment.
Faster detection and correlated timelines help you meet CERT-In's 6-hour reporting window and DPDP breach intimation, centralised retention supports the 180-day log requirement, and monthly reports give RBI and SEBI CSCRF evidence on monitoring and capacity. Compliance remains your responsibility.
About six weeks for 100–300 entities: discover, connect, learn, tune and go live. Onboarding and transition is ₹24,999* one-time, excl. GST.
Your data and integrations stay yours. On exit we hand over runbooks, correlation rules, topology maps and open tickets, export retained logs on request and remove our access.
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