Serverless Patcher
Overview
Patching a CloudFormation template means performing the following changes to its TaskDefinition
:
- Adding a sidecar container that exposes a volume to provide the Sysdig Workload Agent to the workload containers
- Making each workload container mount a data volume from the sidecar container
- Modifying the original entrypoint of each workload container to run the Sysdig instrumentation into it
- Adding the Linux capability
SYS_PTRACE
to each workload container - Adding the Sysdig environment variables to each workload container
Instrument your CloudFormation Templates
Download the latest version of serverless-patcher:
docker pull quay.io/sysdig/serverless-patcher:latest
Instrument your workload template:
docker run -e KILT_MODE="local" -e KILT_SRC_TEMPLATE="/path/to/src/template" -e KILT_OUT_TEMPLATE="/path/to/out/template" [OPTIONS] -v /host/path/template:/path/template quay.io/sysdig/serverless-patcher:latest
The above command runs serverless-patcher locally and instruments your CloudFormation template.
You need to replace:
/path/to/src/template
with the path to your original CloudFormation template/path/to/out/template
with the path to the output instrumented template./host/path/template
with the path to the folder containing the original template on your local machine.
Additionally, you can pass the following environment variables to the command to configure serverless-patcher:
SYSDIG_ORCHESTRATOR_HOST:
The Orchestrator Agent Host.SYSDIG_ORCHESTRATOR_PORT:
The Orchestrator Agent’s port. The default value is 6667.SYSDIG_WORKLOAD_AGENT_IMAGE
: The Workload Agent image to instrument workload containers. Each release defines the proper version.SYSDIG_LOGGING
: The Sysdig Instrumentation login level. The supported values are silent, fatal, critical, error, warning, info, debug, trace.
Once the command finishes executing, you should have a new CloudFormation template with the same name as the original but with
_instrumented
appended to it. You can use this instrumented template to deploy your workload to AWS.You can use this to instrument your CloudFormation templates as part of your CI/CD pipeline.
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