ITRS - Model Obcerv -A Data Storage and Analytics Platform

Intelligent correlation of data from disparate sources, powerful meta-tagging and best-of breed centralized dashboarding allows you to store, collate, contextualise and view your data.

Data compression ensures that storage costs are affordable, without compromising on reliability.

Correlated and contextualised alerts ensure they are as useful as possible to the operator, and log aggregation accelerates root cause analysis.

Our unique and sophisticated APIs mean that Obcerv can be fully interoperable with a range of applications.

ITRS Obcerv provides context and meaning to alerts from multiple platforms, and correlates alerts to ensure they remain meaningful to the operator.

Logs are often kept in independent storage systems that are not referenceable outside a specific location, and the tremendous volume of logs produced by applications make them even more difficult to analyse.

ITRS Obcerv provides log investigation that enables operators to see logs in context, and also accelerates root cause analysis, all without complex indexes.

Modern data monitoring often requires huge capabilities to manage the volume, variety and velocity of data. Tools that do not help normalise are just flat storage systems. All of these factors create a complex data monitoring environment that can cause the cost of data storage to skyrocket.

ITRS Obcerv intelligently correlates data from multiple data feeds and streams, provides dimensionality to stored data via meta-tagging, and maintains data fidelity while compressing the data to ensure that storage costs remain affordable.

Best of breed centralized dashboarding incorporates data from multiple monitoring sources, and powerful tagging allows visualisation of data that would otherwise be siloed – giving large monitoring teams a single pane of glass view on several monitoring tools.

A rich set of forecasting algorithms help your dashboards come to life and predict business levels.