Quick Start

This guide walks through installing Speedscale into a new environment. After completing these steps the Speedscale Operator will be installed in your cluster and you should continue on to the tutorial to record, replay and view results for a demo application.

Speedscale is tested with apps hosted on the local desktop all the way up to high scale enterprise Kubernetes clusters. If this is your first time working with Speedscale, it's easiest to just run on your local desktop and record traffic from a local process. Keep in mind that it is very common to record traffic in one environment (like a production Kubernetes cluster) and replay it somewhere else (like a local mock server).

This guide will walk you through the following steps:

Retrieve your API Key
Install CLI (recommended)
Install Operator (if required)
Verify Installation
Capture and replay traffic against a demo app

Retrieve your API Key

You will need to get your personal API key from your Profile Page. Copy the API key and paste when prompted.

Install CLI (optional)

If you are running Speedscale on a local desktop or in Docker Desktop, the CLI is required. For all other users it is highly recommended because it allows programmatic interaction with Speedscale cloud.

Mac/Linux
Windows

Start by installing the Speedscale CLI-based API (speedctl) via Homebrew:

brew install speedscale/tap/speedctl

Or via the install script:

sh -c "$(curl -Lfs https://downloads.speedscale.com/speedctl/install)"

tip

To install non interactively (like in CI/CD) set the SPEEDSCALE_API_KEY environment variable.

Install a specific version py passing it to the install script:

sh -c "$(curl -Lfs https://downloads.speedscale.com/speedctl/install)" -s v1.4.63

Optionally skip the install script and install manually:

# Download speedctl binary on your machine
curl "https://downloads.speedscale.com/speedctl/speedctl-$(case $(uname -s) in  Darwin)   echo 'darwin' ;; Linux) echo 'linux';; esac)-$(case $(uname -m) in x86_64) echo 'amd64';; arm | arm64 | aarch64) echo 'arm64';; esac)" -o speedctl

# Create speedscale directory and move the binary to the directory
mkdir ~/.speedscale
mv ./speedctl ~/.speedscale

# Give execute permission to the binary
chmod +x ~/.speedscale/speedctl

# Add the Speedscale path to your PATH, change bashrc based on your Shell
echo "export PATH=\$PATH:$HOME/.speedscale" >> ~/.bashrc

Open PowerShell and create a Speedscale directory.

mkdir -f $env:userprofile\.speedscale

Download speedctl into the Speedscale directory.

curl.exe -L "https://downloads.speedscale.com/speedctl/speedctl.exe" -o $env:userprofile\.speedscale\speedctl.exe

If this is your first time using speedctl you may need to add the Speedscale directory to your Path environment variable so it is accessible without knowing the full path.

To add the Speedscale directory to your path, right click on the Windows button and click System.

Click Advanced system settings on the right.

Click Environment Variables.

Under System variables select Path and click Edit.

Create a New entry in the list with the Speedscale directory. If you are unsure of the exact path run this command from PowerShell.

echo $env:userprofile\.speedscale

Click OK and restart PowerShell.

Install Speedscale Operator (optional)

If you are running Speedscale on your local desktop, you should continue directly to the tutorial. The rest of this document is focused on installing a Kubernetes-based demo.

If you are using a common Kubernetes distribution (EKS, GKE, minikube, etc) then you can install using these instructions. If you are not running in Kubernetes, or are running with a more specialized enterprise distribution please select environment-specific instructions in this section.

Helm
CLI (Mac/Linux)
CLI (Windows)
ArgoCD
GitOps

Make sure you have Helm 3 installed. Then,

helm repo add speedscale https://speedscale.github.io/operator-helm/
helm repo update
helm install speedscale-operator speedscale/speedscale-operator \
	-n speedscale \
	--create-namespace \
	--set apiKey=<YOUR-SPEEDSCALE-API-KEY> \
	--set clusterName=<YOUR-CLUSTER-NAME>

Navigate to the Helm repository for all configuration options available for the Helm chart.

Run speedctl install, choose "Kubernetes" and follow the prompts.

The install wizard will walk you through installing the Speedscale Kubernetes Operator and adding the Speedscale Sidecar to your deployment.

(Optional) Adding Image Pull Secrets

If you need custom image pull secrets (for example, if you're re-hosting Speedscale images in a dedicated registry), you may provide one or more secret names with the --imgpullsecrets argument, and the secrets will be attached to the service account.

speedctl install --imgpullsecrets my-secret1,my-secret2p

If using Kubernetes run speedctl install, choose "Kubernetes" and follow the prompts. The install wizard will walk you through installing the Speedscale Kubernetes Operator and adding the Speedscale Sidecar to your deployment.

Speedscale can also be used with Docker and locally.

Use the following ArgoCD manifest as an example. Make sure to use the latest targetRevision as shown on the Helm repository.

project: default
source:
  repoURL: 'https://speedscale.github.io/operator-helm/'
  targetRevision: <YOUR-VERSION>
  helm:
    parameters:
      - name: apiKeySecret
        value: speedscale-apikey
    values: |-
      apiKeySecret: speedscale-apikey
      clusterName: <YOUR-CLUSTER-NAME>
  chart: speedscale-operator
destination:
  namespace: speedscale
  name: in-cluster
syncPolicy:
  automated: {}
  syncOptions:
    - CreateNamespace=true

caution

Installing via helm install is preferred as different GitOps engines treat Helm charts differently and Helm guarantees an order of operations during the install.

You can generate manifests either via Helm or our CLI.

helm template speedscale-operator speedscale/speedscale-operator \
	-n speedscale \
	--create-namespace \
	--set apiKey=<YOUR-SPEEDSCALE-API-KEY> \
	--set clusterName=<YOUR-CLUSTER-NAME> > ./speedscale-operator.yaml

Then store speedscale-operator.yaml in git so it is deployed to your cluster.

Verify Installation

Make sure the operator pods are running properly:

kubectl -n speedscale get pods

Note: The Operator will start at least 2 pods (the operator itself and the Speedscale Forwarder) after it starts. On your cluster the ids of the pods will be different.

NAME                                    READY   STATUS    RESTARTS   AGE
speedscale-forwarder-xxxxxxxxxx-xxxxx   1/1     Running   0          5s
speedscale-operator-xxxxxxxxxx-xxxxx    1/1     Running   0          15s

tip

If you have any issues installing, check out the troubleshooting guide or contact support on slack

Next Steps

At this point Speedscale is present in your cluster and you are now ready to target workloads for record and playback. If this is your first installation please continue using our multi-platform tutorial for a full walkthrough.

If you're already an expert you can click the Add Service button in the UI to automatically add sidecars or install them manually.

Retrieve your API Key​

Install CLI (optional)​

Install Speedscale Operator (optional)​

(Optional) Adding Image Pull Secrets​

Verify Installation​