Instana · Turbonomic · Concert
See the stack. Right-size it. Find the actual cause.
IBM Instana maps the application. Turbonomic matches resources to demand. Causal AI — Instana’s Root Cause Identification, documented with IBM Research — is how the platform tells an SRE the root cause instead of a correlated symptom. We implement that closed loop.
From reactive monitoring to a closed loop
Point tools give you silos. Instana automatically discovers topology — Kubernetes, microservices, databases, queues — and runs AI-powered root cause analysis. Turbonomic uses that demand signal to right-size workloads and cut cloud waste. Together they are the observability and FinOps backbone we deploy on hybrid IBM estates.
Causal AI, not another alert storm
Instana’s Root Cause Identification algorithm is built on causation rather than correlation. The 2025 research-to-practice paper with IBM Research, and the accompanying IBM Developer article, are the public record of that work. We implement RCI in production estates so SREs spend less time chasing symptoms.
Where it lands by sector
Typical cloud-cost reductions on Turbonomic programs come from eliminating persistent over-provisioning, not from a one-time rightsizing workshop.
- Financial services — trading latency, core-banking hybrid availability, DORA / operational-risk reporting
- Healthcare — EHR uptime, medical-device data pipelines, cloud cost for imaging and genomics
- Retail — peak-traffic capacity, order-management microservices, POS plus digital commerce
Put Instana and Turbonomic on the same picture of your estate.
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