Early Warning along Servicechains

This approach enables you to track the resilience of your infrastructure in real time, recognise potential risks at an early stage and take immediate action through automated notifications. This not only ensures maximum availability, but also seamless, efficient control of your IT environment.

Target

Early detection and alerting of deviations along a supply or service chain that cover a critical business process. Applicable for both provider and classic supply chain problems

Output

Evidence for audits according to ISO 28000 (supply chains), ISO 31000 (risk management), NIS 2 Cases etc.

Setup of Showcase

MaxResi AG (showcase company) operates a highly available infrastructure with multiple redundant RDBMS and application servers.

Performance and availability are regularly tracked in time series data. An individual ETL route is created and stored as a template, which is mapped to various relevant data pools and recorded and automated in a time series via a scheduler.

For triggering and visualisation, the functionality of functionally powerful but cost-effective standard tools is used in a targeted manner

This multi-layer architecture ensures task-compliant integration and a proactive response to relevant changes or critical situations

See chart - in the following section

Early Warning Data Stack:

Example stack for setting up operational and data-driven early warnings.

Aimed at companies with heterogeneous data sources, limited operating budgets and a limited degree of operational maturity in the data-driven early warning system between Zero to 1.5 of 5 possible maturity levels

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