- Hybrid environments, tool proliferation and poor team coordination all reduce observability
- IT teams agree that observability is key, 90% believe AI can help them
- However, AI does not come without its usual challenges
New data from Solarwinds claims that around three-quarters (77%) of IT teams lack the visibility they need across hybrid environments, explaining the added complexity associated with a mix of on-prem and cloud.
Modern, evolving infrastructure appears to be outstripping monitoring and observability tools, and many have had to resort to buying into multiple solutions – however, 55% say tool proliferation is now also a problem.
And it’s not just the tools to blame – three out of four say poor coordination across teams also further limits observability.
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IT teams quickly lose observability
Despite the poor state of current affairs, two-thirds (64%) say full-stack visibility is important to success and there is a clear need for proactive protection rather than reactive ‘firefighting’.
But with systems and environments showing no signs of simplification anytime soon, artificial intelligence may be the key to success. AI already helps reduce noise and speed up operations, but 90% now believe AI can also help them improve observability.
Some of AI’s most relevant use cases include automating incident prioritization (47%), accelerating root cause analysis (45%), predicting capacity and performance issues (45%), and reducing alert fatigue (45%). The improved efficiency can also unlock significant cost savings.
“AI should do more than reduce alerts—it should sharpen prioritization, streamline workflows and give teams the space to focus on strategy instead of churning through dashboards,” wrote SolarWinds Product Marketing Senior Director Abigail Norman.
That said, companies still face major challenges when adopting artificial intelligence, with security issues coming out on top (47%). Skills gaps (42%), technology complexity (41%), employee reluctance or resistance (37%) and budget constraints (33%) are also restrictive.
Looking ahead, it’s clear that hybrid infrastructure and an increasing variety of tools will continue to make observability challenging, so the need for more powerful, unified tools is clear.
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