Solarwinds enhances software suite with AI

Observability and IT management software company SolarWinds has announced AI-powered enhancements to its product suite to help organisations deal with the growing challenges involved in pursuing their digital transformation efforts.

The new capabilities include enhancements designed to offer customers complete hybrid visibility across on-premises and cloud networks, as well as AI operations (AIOps)-enabled pattern recognition and anomaly detection capabilities.

SolarWinds SVP for Product Cullen Childress said the enhancements are designed to address challenges associated with cloud migration, the adoption of SD-WAN networks, persistently hybrid workforces and other digital transformation initiatives. Recent Gartner research found that by 2027, 50% of critical applications will reside outside of centralised public clouds, presenting new security concerns.

“The rapidly evolving technology landscape and organisations’ ongoing modernisation journeys drive the digital complexity they face. When operating in a hybrid, multi-cloud, containerised microservices world, there’s one thing we know for sure: this complexity isn’t magically going away,” Childress said. “At the same time, uptime and service level requirements continue to become more stringent while budgets remain stagnant.”

SolarWinds says the new capabilities in its observability solutions include further enhancements to its network and infrastructure observability, offering complete hybrid visibility across on-premises and cloud networks. This includes on-premises and cloud network devices, virtual machines, hypervisors, containers, Kubernetes and infrastructure-as-a-service resources. SolarWinds has also further extended its database observability capabilities by adding query explorer and visual explain plans. Additionally, AIOps-enabled pattern recognition and anomaly detection provide insights into correlated alerts and events to accelerate root cause analysis, allowing IT teams to be more productive as the organisation scales.