This article describes the run-time characteristics of a typical Prisma Cloud deployment. This information is provided for planning and estimation purposes.
System performance depends on many factors outside of our control. For example, heavily loaded hosts have fewer available resources than hosts with balanced workloads.
Prisma Cloud has been tested and optimized to support up to 5,000 Defenders per Console. If you have an environment that requires more than 5,000 Defenders, deploy a scale project.
This section describes the resources consumed by Prisma Cloud Defender during a scan. Measurements were taken on a test system with 1GB RAM, 8GB storage, and 1 CPU core.
Host scans consume the following resources:
Time to complete a host scan
Container scans consume the following resources:
Time to complete a container scan
1-5 seconds per container
When an image is first scanned, Prisma Cloud caches its contents so that subsequent scans run more quickly. The first image scan, when there is no cache, consumes the following resources:
Time to complete an image scan.
1-10 seconds per image. (Images are estimated to be 400-800 MB in size.)
Scans of cached images consume the following resources:
Time to complete an image scan
1-5 seconds per image. (Images are estimated to be 400-800 MB in size.)
Real-world system performance
Each release, Prisma Cloud tests performance in a scale out environment that replicates a real-world workload and configuration. The test environment is built on a Kubernetes cluster with the following properties:
- Hosts:≥ 900
- Hardware:1 vCPU, 3.75 GB memory
- Operating system:Container-Optimized OS
- Containers:6000 (density of 6.7 containers per host)
The results are collected over the course of a day. The default vulnerability policy (alert on everything) and compliance policy (alert on critical and high issues) are left in place. CNNF is enabled.
The following table shows normal resource consumption.
CPU (single core)
The following table shows scan performance.
Recommended For You
Recommended videos not found.