datauitval

Datauitval refers to situations where data or data services are unavailable or inaccessible due to failures or disruptions in information technology systems. It can range from brief outages to permanent data loss and can affect single components or entire IT ecosystems. The term is commonly used in Dutch-speaking IT environments.

Causes include hardware failures (disk crashes, power supply), software faults (bugs, misconfigurations), network outages (ISP, routing), human error (misconfiguration, accidental deletion), cyber incidents (ransomware, attacks), and external events (power loss, natural disasters).

Impacts span service disruption, business downtime, financial costs, customer impact, regulatory reporting challenges, and potential data integrity risks. Types include service outages (unavailability of applications), data loss (irretrievable data), and data corruption (altered data).

Detection and response involve monitoring systems, incident management, alerting, and root-cause analysis post-incident. Mitigation strategies emphasize redundancy, backups, disaster recovery plans, failover systems, data replication, and geographic distribution to reduce single points of failure. Regular testing of backups and recovery procedures is essential.

Prevention and planning involve defining recovery objectives (RTO and RPO), implementing high availability architectures, change control, and employee training. Organizations often maintain playbooks, run drills, and establish service-level agreements to manage expectations. See also data loss, disaster recovery, high availability.