Lesson 8 · Running it · 2 min read
Rolling out a runtime sensor: from one cluster to the estate
Cloud Security Compare editors · Matchups reviewed September 2026 · Editorial assessment
The short version
Roll out a runtime sensor in stages: one non-production cluster or host group first, then a representative production slice, then the rest. Measure overhead with your own monitoring at each stage, tune detections before anyone is paged, and switch on blocking only where the team has agreed who owns a blocked process. Agentless coverage keeps the rest of the estate visible while you do it.
Why stage the rollout?
A sensor runs inside your workloads, so it touches production in a way agentless scanning does not. Most sensors in this category are built on eBPF, which lets approved programs observe kernel events without changing the kernel, but each sensor still uses CPU and memory and still needs a change process. The Wiz Sensor, the Orca Sensor and Upwind's sensors are eBPF-based. Sysdig's detection is built on Falco. Aqua Security uses kernel-layer enforcement. Microsoft Defender for Cloud protects servers through Defender for Endpoint, and CrowdStrike uses the same Falcon sensor it runs on endpoints.
What is the first stage?
Pick one non-production cluster or host group that looks like production: the same operating systems, the same container runtime and a similar load. Install with the method you will use at scale, for example a Helm chart or DaemonSet for Kubernetes or a package for hosts, and record how long it took and which approvals it needed. Check operating system coverage early; Orca, for example, lists Linux, Kubernetes and Windows for its sensor.
What should you measure?
- CPU and memory use per node, measured with your own monitoring, at normal and peak load.
- Startup time and any effect on application latency.
- Which detections fire in the first week, and how many of them are expected behavior.
- How updates are delivered, and how quickly one can be rolled back.
When should blocking be switched on?
Detection and blocking are separate decisions. Several sensors can stop a process or an attack: Orca says its sensor can be configured to terminate processes, Wiz says its sensor blocks threats, and Aqua says its enforcement blocks attacks without killing the container. Start in detect-only mode, tune the rules until alerts are ones the team would act on, then enable blocking for the workloads and behaviors where a false positive costs less than a missed attack. Name the owner who decides when a blocked process is released.
How does agentless coverage fit in?
A staged rollout leaves parts of the estate without a sensor for weeks or months, and some resources, such as managed services and many serverless functions, cannot run one at all. Agentless scanning covers those areas for vulnerabilities, misconfigurations and exposure in the meantime. That is why every platform we compare offers both methods. The agentless vs agent-based comparison sets out what each method can see.
Related pages
- Runtime protection in CNAPPsHow nine vendors detect and block
- Agentless vs agent-basedWhat each method sees
- Sysdig vs AquaTwo runtime-heavy platforms head to head
Next lesson: Measuring a CNAPP after rollout: coverage, fix time and noise