EC2 CPU hog
Stress a configurable number of CPU cores inside a target EC2 instance via AWS Systems Manager so you can test how the workload behaves when the host is starved of CPU.
EC2 CPU hog is an AWS chaos fault that drives a configurable number of CPU cores to a configurable load percentage inside a target EC2 instance for a configurable duration. The fault dispatches the stress workload via AWS Systems Manager Run Command, so the target instance must have the SSM Agent installed and an IAM role that permits SSM messages.
Use this fault to test how a workload reacts when its host is CPU-starved: does autoscaling react, do latency-sensitive paths break SLO, does the load balancer detach the instance because of failing health checks?
Use cases
Run this fault when you want to answer concrete questions like:
Latency under CPU pressure: When all cores are saturated, does p99 latency stay within SLO?
Autoscaling triggers: Do CloudWatch CPU alarms fire and does the ASG add capacity in the expected window?
Health-check correctness: Does the target group detach the saturated instance, and does it reattach when the fault ends?
Co-tenant workloads: When one workload monopolizes CPU, do neighbouring workloads still meet their SLOs?
Burst-credit exhaustion (T-family): For burstable instance types (
t3,t4g), does sustained 100% CPU exhaust burst credits and degrade further?
Prerequisites
Kubernetes version: 1.21 or later for the chaos infrastructure cluster.
Target instance is reachable via SSM: The instance has the SSM Agent running and an instance profile with
AmazonSSMManagedInstanceCore(or equivalent). Confirm withaws ssm describe-instance-information --filters "Key=InstanceIds,Values=<id>".Selector provided: Either
EC2_INSTANCE_IDorEC2_INSTANCE_TAGis set.AWS credentials available: Either an AWS credentials file uploaded as a File Secret in Harness Secret Manager (see Authentication below) or IRSA on the chaos infrastructure service account.
IAM permissions granted: The credentials or role include the SSM and EC2 permissions listed below.
Supported environments
Amazon EC2 (Linux instances with SSM Agent)
Supported
Amazon EKS managed worker nodes
Supported (if SSM Agent is installed)
Amazon EKS self-managed worker nodes
Supported (if SSM Agent is installed)
Targeting by tag
Supported via EC2_INSTANCE_TAG
Targeting by ID
Supported via EC2_INSTANCE_ID
Burstable instance types (T family)
Supported (be aware of credit exhaustion; see Limitations)
Windows instances
Not supported (Linux-only stress payload)
Permissions required
Go to common policy for all AWS faults to use a single superset IAM policy.
Authentication
The fault supports three credential delivery models. Pick one based on how your chaos infrastructure is deployed.
Harness Secret Manager file secret
Chaos infrastructure runs outside EKS, or you want explicit static credentials
Upload the AWS credentials file as a File Secret in Harness Secret Manager and reference its identifier via AWS_AUTHENTICATION_SECRET
IAM Roles for Service Accounts (IRSA)
Chaos infrastructure runs in EKS and uses an OIDC-bound service account
No tunable changes; the chaos pod inherits the role automatically. Go to AWS IAM integration to set it up
Assume role
The fault needs to act in a different account or with elevated permissions
Set ASSUME_ROLE_ARN to the role ARN; the chaos pod assumes the role on top of its base credentials
When using the Harness Secret Manager method, the File Secret should contain an AWS credentials file in the standard ~/.aws/credentials format:
Upload this file as a File Secret in Harness Secret Manager (Project Setup → Secrets → New File Secret), and pass the secret identifier in AWS_AUTHENTICATION_SECRET.
Fault tunables
Required parameters
REGION
AWS region that hosts the target instance.
(required)
EC2_INSTANCE_ID or EC2_INSTANCE_TAG
One of these must be set to select the target instance(s).
""
Chaos parameters
CPU_CORES
Number of CPU cores to hog. 0 hogs all available cores.
0
CPU_LOAD
Percentage of CPU load to generate per core (0-100).
100
TOTAL_CHAOS_DURATION
Duration of the fault in seconds.
60
INSTANCE_AFFECTED_PERC
Percentage of matching instances to target (only with EC2_INSTANCE_TAG). 0 targets one instance.
0
INSTALL_DEPENDENCIES
Install the in-instance stress tool if missing. Set to False to skip.
True
PROXY
HTTP/HTTPS proxy used by the in-instance installer (for example https_proxy=http://proxy.server:3128).
""
SEQUENCE
Order in which multiple instances are processed: parallel or serial.
parallel
RAMP_TIME
Wait period in seconds before and after the fault. Go to ramp time to read how it is applied.
0
Authentication
ASSUME_ROLE_ARN
ARN of an IAM role to assume on top of the base credentials.
""
AWS_AUTHENTICATION_SECRET
Identifier of the File Secret in Harness Secret Manager that contains the AWS credentials file. Not required when using IRSA.
""
Tunables that apply to every fault are documented in common tunables for all faults.
Fault execution in brief
Sends an SSM Run Command to the selected instance(s) in REGION that spawns a CPU-stress workload pinned to CPU_CORES cores at CPU_LOAD percent each for TOTAL_CHAOS_DURATION seconds.
Expected behavior during fault execution
Per-core CPU utilization on the target instance climbs to
CPU_LOADpercent acrossCPU_COREScores.CloudWatch
CPUUtilizationrises to the corresponding fraction of overall capacity.Latency-sensitive workloads typically see p99 latency spike; CPU-bound throughput drops.
For burstable instance types, CPU credits drain rapidly; once exhausted, baseline performance degrades further.
Load balancer health checks may begin to fail if they share CPU with the workload.
Signals to watch
CPU utilization: Use a Prometheus probe on
aws_ec2_cpuutilization_average(CloudWatch exporter) to confirm the spike.Application latency: Use an HTTP probe to detect latency regression.
Burst credits: For T-family instances, watch
aws_ec2_cpucredit_balance_minimumto confirm credit exhaustion.
Verify the fault execution effect
While the experiment is running:
Check CPU on the instance via SSM.
Confirm CloudWatch metric spike.
Recovery and cleanup
End of duration: The chaos pod terminates the stress workload.
Abort the experiment: Stopping the experiment from Chaos Studio cancels the in-flight SSM command.
Manual recovery: If the stress workload outlives the experiment (rare), kill it via SSM:
pkill -f stressorpkill -f <stress-binary>.
Limitations
Linux-only payload: This fault stresses Linux instances. For Windows hosts, use
windows-ec2-cpu-hog.SSM Agent required: Instances without the SSM Agent online cannot be targeted.
Burst-credit consumption: On T-family instances, credits are consumed by the fault and may not be fully replenished by the time the next experiment runs. Allow recovery time between runs.
Workload eviction: On EKS nodes, severe CPU pressure may cause kubelet to evict pods. Use
INSTANCE_AFFECTED_PERCandCPU_COREScarefully on production-like clusters.
Troubleshooting
Related faults
EC2 memory hog: Stress memory instead of CPU.
EC2 IO stress: Stress filesystem IO instead of CPU.
EC2 process kill: Kill a specific process instead of saturating CPU.
Windows EC2 CPU hog: CPU stress for Windows instances.
Common AWS fault tunables: Shared environment variables for AWS faults.
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