Causely Brings Causal Intelligence to IBM Instana

#causely #instana #causality

Are you tired of chasing alerts? Are you drowning in endless traces, metrics, and dashboards? You don’t have a telemetry problem—you have a triage problem. Your observability tool fills your screen with alerts, anomalies, and dashboards; bridges spin up; people pile into war rooms. The job becomes hunting for the signal instead of fixing the system. Your observability tools turned your operations into a big data problem. It is time to stop this journey to nowhere. There must be a different way.

Causely already mediates to OpenTelemetry, Datadog, and Dynatrace to consume traces, metrics, alerts and logs. Today we’re adding IBM Instana Observability to that list.

This is yet another step in our journey to autonomous service reliability: Our Causal Reasoning Engine (CRE) takes the flood of data you already collect and turns it into action by automatically inferring and pinpointing the causes of service degradations, reliability issues, and emerging risks. Furthermore, Causely provides context-rich explanations and remediation guidance—so responders move faster and with confidence.

Why This Matters

Causely eliminates the need for war rooms. Causely’s reasoning engine analyzes telemetry, traces, logs and alerts from your observability stack—including IBM Instana Observability—minimizing MTTR, protecting SLOs, turning dashboards into decisions, and enabling reliability.

“Our goal is to collapse the war room—use the Instana data you already have to identify true causes and risks, then deliver clear, guided remediation,” says Ben Yemini, Head of Product at Causely.

Causely’s users stop chasing alerts and act on clear, context-rich explanations and guided remediation. Causely maintains a continuously updated topology graph of your services, data flows and infrastructure and a causality graph that maps causes to symptoms. Using probabilistic inference, CRE pinpoints causes, evaluates blast radius, and prioritizes remediation—so teams converge faster with fewer escalations. Because the engine runs continuously, it also highlights emerging risks before they become incidents.

As one customer put it:

“We don’t have a shortage of telemetry—we’ve been using Instana for years. We’re overwhelmed by data and dashboards. Dealing with performance issues is labor-intensive, and it’s been nearly impossible to prevent them.”

This integration is designed to change that.

Key Features of the IBM Instana Observability Integration

Automatic root cause analysis pinpointing cause and risk in real time. Causely’s CRE contiguously ingests Instana signals and pinpoints the causes of service degradations and failures and surfacing emerging risks before they become incidents.
Automatic impact analysis and blast radius mapping. Causely’s CRE continuously infers the impacted services, endpoints, databases, and SLOs to drive the right prioritization.
Automatic remediation. Causely provides context-rich explanation of the root causes, but more importantly can automatically remediate the cause by providing the specific fix at runtime, configuration, or code level.
Fast, low-lift enablement. Connect Instana via API and start diagnosing in minutes without changes to your services.

The result: