Gartner defines event intelligence solutions (EIS) as tools that apply artificial intelligence (AI) and data analytics to augment, accelerate and automate responses to signals or events detected from digital services. The key characteristics of event intelligence solutions include cross-domain event ingestion, topology assembly, event correlation and enrichment, pattern recognition, and accelerated remediation. These solutions are designed to process event streams into actionable insights and enable proactive responses that reduce toil and improve performance and availability. They are delivered as software as a service or self-managed software.
Gartner defines observability platforms as products used to understand the health, performance and behavior of applications, services and infrastructure. They do this by ingesting telemetry (operational data) from a variety of sources including, but not limited to, logs, metrics, events and traces. Observability platforms enable analysis of the ingested telemetry, either via human operator or machine intelligence, to determine changes in system behavior that impact end-user experience, such as outages or performance degradation. This allows early, and even preemptive, problem remediation. Observability platforms are used by IT operations, site reliability engineers, cloud and platform teams, application developers and product owners. Modern businesses rely heavily on critical digital applications and services, which are revenue-generating, client-facing and important to the efficient operation of the business. Outages, performance degradation and unreliability directly impact top-line revenue, client sentiment and brand perception. Observability platforms are used by organizations to understand and improve the availability, performance and resilience of these critical applications and services. Investment in and successful deployment of observability platforms leads to revenue loss avoidance and enables faster product development cycles and improvements in brand perception.