The Signal
Cloud observability just tripled in 60 days. It is now the single fastest-emerging buying category across the DoGood network.
In the 30-day window through April 16, 8.8% of substantive member priority submissions specifically target observability, monitoring, APM, or tools rationalization in that category. In the prior 30-day window (January 23 to February 22), the same theme registered at 2.7%. In Q1 overall it was 3.3%. The Q2 run-rate so far is 12.2%. Call it 3x against the nearest comparison, nearly 4x against Q1.
The submissions are unusually consistent. Leaders are not comparing features. They are describing a breaking point: multi-cloud complexity, AI workload sprawl, log volumes the incumbent tool cannot price, and war rooms where engineers manually correlate data across five dashboards. The common trigger is the same sentence, repeated across industries: we cannot see across the stack in real time.
From the Network
"My team keeps hitting delays in war rooms because they're manually correlating logs across our multi-cloud setup. I need an AI-powered observability tool that automatically identifies root causes so we can shift to proactive automation."
"I am the enterprise domain architect for observability and the enterprise is trying to conduct a tools rationalization assessment under my domain."
"Looking to reduce time spent diagnosing issues and improve overall system reliability. Interested in how Datadog brings together logs, metrics and traces for faster root cause analysis."
Three industries. Three different infrastructures. The same admission: the monitoring stack no longer answers the question.
The Context
The headlines are catching up. On April 16, Microsoft published its 2026 AI steering committee checklist and added Observability as a new core pillar of its AI framework, putting it on equal footing with security and governance. The stated reason: Accenture stalled 75 AI use cases at pilot stage because fragmented monitoring tools blocked the path to production. A centralized observability platform cut AI app build time in half.
One week earlier, Cisco announced its intent to acquire Galileo Technologies, an AI agent observability platform, to bolt real-time agent monitoring into Splunk. The platform vendors are betting where the network is already spending.
Bottom Line: When Microsoft treats observability as AI readiness and Cisco buys its way into agent monitoring, the category has graduated from SRE tooling to executive infrastructure.
What to Do About It
Map every monitoring, APM, log, and trace platform active in your environment this week. Name a single owner for each, and write one honest sentence per tool about what it sees and what it misses when the signal crosses clouds or enters an AI workload. If more than two tools claim the same answer, the rationalization case is already made.
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