This helm chart installs the Scalyr Agent monitor into a Kubernetes cluster. It supports installing the agent with all features required to support a Kubernetes cluster monitoring. Additionally, it can deploy Scalyr agents which monitor other parts of the infrastructure (for example a hosted database service etc.).
This chart is not affiliated with Scalyr, Inc. in any way. For support, please open an issue in this project's issue tracker.
Use
helm install <name of release> scalyr-agent --repo https://dodevops.io/helm-scalyr
to install this chart.
Two basic configuration keys have to be set up to allow logging to Scalyr cloud:
- scalyr.server: The name of the Scalyr api server (defaults to scalyr.com)
- scalyr.apiKey: The api key used to authenticate to the Scalyr api server
- scalyr.config: The Scalyr configuration
The scalyr configuration is done using the configuration map approach. This is basically a key/value hash. The keys refer to the configuration file name for grouping monitors. The value is the Scalyr json configuration for each monitor.
This chart's default values are set to support the monitoring of a Kubernetes cluster. The only value you have to set manually is:
- config.k8s.clusterName: name of the Kubernetes cluster to monitor (will be visible in the Scalyr UI)
If you want to monitor additional things outside of Kubernetes (e.g. Databases), you can set the following values:
- controllerType: For other monitors, it is usually best to set this to "deployment" instead of "daemonset"
- scalyr.k8s.enableLogs and scalyr.k8s.enableEvents: Set this to false to remove the serviceaccount, clusterroles and additional mounts to the Scalyr agent pods
By default, this chart creates a daemonset which is the recommended deployment pattern for Kubernetes monitoring.
If you'd like to create a different Scalyr agent, you can set controllerType to "deployment" and set
scalyr.k8s.enableLogs and scalyr.k8s.enableEvents to false.
Homepage: https://github.com/dodevops/helm-scalyr
| Name | Url | |
|---|---|---|
| dploeger | [email protected] | https://github.com/dploeger |
| Key | Type | Default | Description |
|---|---|---|---|
| affinity | object | {} |
optional affinity rules |
| controllerType | string | "daemonset" |
Wether to setup a daemonset or a deployment for the Scalyr agent A daemonset should be used for Kubernetes monitoring while a deployment should be used for single resource monitorings (e.g. hosted databases, etc.) Valid values: "daemonset" or "deployment" |
| deployment.replicaCount | int | 1 |
The count of replicas to use when using the deployment controller setup |
| fullnameOverride | string | "" |
Override the default full name that helm calculates |
| image.pullPolicy | string | "IfNotPresent" |
|
| image.repository | string | "scalyr/scalyr-k8s-agent" |
Image to use. Defaults to the official scalyr agent image |
| image.tag | string | "" |
Tag to use. Defaults to appVersion from the chart metadata |
| imagePullSecrets | list | [] |
Image pull secrets to use if the image is in a private repository |
| nameOverride | string | "" |
Override the default name that helm calculates |
| nodeSelector | object | {} |
optional node selectors |
| podAnnotations | object | {} |
optional pod annotations |
| podSecurityContext | object | {} |
|
| resources | object | {"limits":{"cpu":"500m","memory":"500Mi"},"requests":{"cpu":"500m","memory":"500Mi"}} |
Pod resources. Defaults to the values documented in the official Installation guide |
| scalyr.apiKey | string | "" |
The Scalyr API key to use |
| scalyr.base64Config | bool | true |
As Helm is currently unable to correctly pass JSON strings, this can be set to true so all values of scalyr.config are expected to be base64 encoded and will be decoded in the chart |
| scalyr.config | object | {} |
A hash of configuration files and their content as documented in the Scalyr agent configmap configuration documentation |
| scalyr.k8s.caCert | string | "" |
The path to the CA certificate to use to verify TLS-connection to the kubelet |
| scalyr.k8s.clusterName | string | "" |
The kubernetes cluster name (when using the kubernetes monitoring) |
| scalyr.k8s.enableEvents | bool | true |
Enable fetching Kubernetes events |
| scalyr.k8s.enableLogs | bool | true |
Enable fetching Pod/Container logs from Kubernetes |
| scalyr.k8s.enableMetrics | bool | true |
Enable fetching Kubernetes metrics. This requires scalyr.k8s.enableLogs to be true |
| scalyr.k8s.verifyKubeletQueries | string | "false" |
Set this to true and set up scalyr.k8s.caCert to activate TLS validation of queries to the k8s kubelet |
| scalyr.server | string | "scalyr.com" |
The Scalyr server to send logs to |
| securityContext | object | {} |
optional security context entries |
| tolerations | list | [{"effect":"NoSchedule","key":"node-role.kubernetes.io/master","operator":"Exists"}] |
Pod tolerations. Defaults to the values documented in the official Installation guide |
| volumeMounts | object | {} |
Additional volume mounts to set up |
| volumes | object | {} |
Additional volumes to mount |
On each push to master and other branches Github Actions workflow runs which performs basic helm lint and helm install sanity checks against the changes.
chart-testing wrapper is used for running helm lint and helm install.
To run those checks locally, you need the following tools installed:
- helm 3
- chart-testing
- minikube (or kind cluster against which helm install can run)
- Python 3 with the following 3 libraries installed - yamllint, yamale
# 1. Install helm
curl https://raw.githubusercontent.com/helm/helm/main/scripts/get-helm-3 | bash
# 2. Install minikube
curl -LO https://storage.googleapis.com/minikube/releases/latest/minikube-linux-amd64
sudo install minikube-linux-amd64 /usr/local/bin/minikube
# 3. Install chart-testing
wget https://github.com/helm/chart-testing/releases/download/v3.4.0/chart-testing_3.4.0_linux_amd64.tar.gz
tar -xzvf chart-testing_3.4.0_linux_amd64.tar.gz
sudo mv ct /usr/local/bin
sudo mv etc ~/.ct
# 4. Create Python virtualenv and install libraries needed by chart testing
python3 -m venv .venv
source .venv/bin/activate
pip install yamale yamllint
# 5. Start minikube Kubernetes cluster
minikube start
# 6. Run actual lint and install task
ct lint --debug --charts . --chart-dirs "$(pwd)"
# To use valid API key
mkdir -p ci/
echo -e 'scalyr:\n apiKey: "SCALYR_TEST_WRITE_API_KEY"' > ci/test-values.yaml
ct install --debug --charts . --chart-dirs "$(pwd)"As an alternative to manually installing those tools and setting up the environment, you can also use act tool which allows you to run GHA workflow locally inside Docker containers as shown below.
act lint_test
actKeep in mind that it may take a while since it needs to pull down a large Docker image during the first run. This tool also may not work correctly on some operating systems since it relies on Docker inside Docker functionality for creating kind Kubernetes cluster.