SolarWinds’ 2026 State of Monitoring & Observability Report, surveying over 750 IT professionals managing distributed systems, identifies profound misalignment between hybrid IT architectures and monitoring tools, with 77% of teams lacking full visibility across on-premises and cloud environments. Compounding this, 75% cite poor cross-team coordination—spanning network, infrastructure, applications and databases—as a barrier to effective observability, while 55% grapple with tool sprawl from excessive monitoring solutions.
For enterprise IT leaders, these gaps translate to heightened operational risks: prolonged outages, reactive firefighting and suboptimal performance in business-critical systems, where legacy and cloud-native elements coexist without unified oversight. Cullen Childress, SolarWinds Chief Product Officer, frames unified observability as foundational for proactive resilience, enabling risk reduction and continuous operations amid growing distribution.
AI Confidence High but Barriers Persist in Observability Integration
Despite challenges, 90% of respondents express strong confidence in AI’s potential to enhance monitoring, with 64% deeming stack-wide visibility “very important” for team success. IT teams are already deploying AI for incident prioritisation (47%), root cause analysis (45%), capacity prediction (45%) and alert noise reduction (45%), yielding faster MTTR and cost efficiencies in fragmented environments.
However, adoption hurdles loom large: security concerns (47%), skills shortages (42%), technological complexity (41%), employee resistance (37%) and budgets (33%) impede scaling. Strategically, this necessitates targeted governance, upskilling and phased integration, positioning AI not as a quick fix but as an orchestrator for autonomous resilience once foundational visibility is secured.
Strategic Roadmap to Unified Observability and AI Enablement
The report advocates platforms unifying data layers for end-to-end oversight, automating insights and prioritising AI where it delivers immediate workflow gains like noise reduction and prediction. Abigail Norman, SolarWinds Sr. Director of Product Marketing, emphasises moving beyond dashboards to strategic focus, with strict AI access protocols and staff training essential for overcoming barriers.
For risk managers in hybrid-heavy sectors like finance and manufacturing, addressing these blind spots averts downtime costs—potentially millions per hour—and aligns with demands for resilient operations amid tool proliferation. SolarWinds positions observability evolution as a shift to intelligent platforms that foster proactivity, recommending clear use cases, governance and human-AI fusion to capitalise on 90% AI optimism while mitigating adoption risks.
