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feat(rosetta): Local cluster setup for Rosetta (#3485)
This PR introduces a script that manages a local kubernetes set up that runs Rosetta (icp and icrc) with prod images as well as locally built images. The cluster also provides a Grafana instance connected to the rosetta nodes that allows us to easily track system utilization (CPU, Memory, IO) as well as other custom metrics. The intent is to have a quick way to investigate issues and visualize the impact of local changes against the prod versions. See the README.md file for more details.
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# Patterns to ignore when building packages. | ||
# This supports shell glob matching, relative path matching, and | ||
# negation (prefixed with !). Only one pattern per line. | ||
.DS_Store | ||
# Common VCS dirs | ||
.git/ | ||
.gitignore | ||
.bzr/ | ||
.bzrignore | ||
.hg/ | ||
.hgignore | ||
.svn/ | ||
# Common backup files | ||
*.swp | ||
*.bak | ||
*.tmp | ||
*.orig | ||
*~ | ||
# Various IDEs | ||
.project | ||
.idea/ | ||
*.tmproj | ||
.vscode/ |
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apiVersion: v2 | ||
name: cluster | ||
description: A Helm chart for Kubernetes | ||
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# A chart can be either an 'application' or a 'library' chart. | ||
# | ||
# Application charts are a collection of templates that can be packaged into versioned archives | ||
# to be deployed. | ||
# | ||
# Library charts provide useful utilities or functions for the chart developer. They're included as | ||
# a dependency of application charts to inject those utilities and functions into the rendering | ||
# pipeline. Library charts do not define any templates and therefore cannot be deployed. | ||
type: application | ||
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# This is the chart version. This version number should be incremented each time you make changes | ||
# to the chart and its templates, including the app version. | ||
# Versions are expected to follow Semantic Versioning (https://semver.org/) | ||
version: 0.1.0 | ||
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# This is the version number of the application being deployed. This version number should be | ||
# incremented each time you make changes to the application. Versions are not expected to | ||
# follow Semantic Versioning. They should reflect the version the application is using. | ||
# It is recommended to use it with quotes. | ||
appVersion: "1.31.0" |
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# Local Rosetta API Cluster | ||
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This directory contains scripts and configurations for setting up a local Kubernetes cluster using Minikube to deploy the Rosetta API services. The cluster includes monitoring tools such as Prometheus, cAdvisor, and Grafana. | ||
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## Purpose | ||
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The purpose of this cluster is to provide a local development and testing environment for the Rosetta API services. It allows developers to deploy and test their services in a controlled environment with monitoring capabilities. | ||
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## What It Does | ||
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- Sets up a Minikube cluster with a specified profile. | ||
- Installs Prometheus, cAdvisor, and Grafana for monitoring. | ||
- Deploys the Rosetta API services using Helm charts. | ||
- Optionally loads local Docker images for the services. | ||
- Forwards ports for Prometheus, Grafana, and the Rosetta API services. | ||
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## Tools | ||
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### Minikube | ||
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Minikube is a tool that runs a single-node Kubernetes cluster on your local machine. It is useful for development and testing purposes. | ||
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### Prometheus | ||
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Prometheus is an open-source monitoring and alerting toolkit. It is used to collect and store metrics from various sources, including applications and infrastructure. | ||
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### cAdvisor | ||
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cAdvisor (Container Advisor) is an open-source container resource usage and performance analysis agent. It provides insights into the resource usage and performance characteristics of running containers. | ||
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### Grafana | ||
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Grafana is an open-source platform for monitoring and observability. It provides a web-based interface for visualizing and analyzing metrics collected by Prometheus and other data sources. | ||
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## Usage | ||
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### Prerequisites | ||
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The `deploy.sh` script eventually uses Docker, Minikube, Kubectl and Helm, but fear not, it will assist you in installing those if it detects they are absent. | ||
It was only tested on Ubuntu servers. | ||
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WARNING: The script *doesn't* work when run from this repository's dev container (at `./ci/container/`). | ||
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## Deploying Prod Images | ||
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To create and set-up the local cluster and install the production containers for ICP-Rosetta and ICRC1-Rosetta pointing at DFINITY's test ledgers, simply do: | ||
```bash | ||
./deploy.sh [options] | ||
``` | ||
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You can make the rosetta nodes point to other ledgers by using these flags: | ||
- `--icp-ledger <ledger_id>`: Set the ICP Ledger ID (default: `xafvr-biaaa-aaaai-aql5q-cai`). If `prod`, will point to the official ICP ledger. | ||
- `--icp-symbol <symbol>`: Set the ICP token symbol (default: `TESTICP`). | ||
- `--icrc1-ledger <ledger_id>`: Set the ICRC1 Ledger ID (default: `3jkp5-oyaaa-aaaaj-azwqa-cai`). | ||
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ATTENTION: The first run might take a few minutes to finish as it'll create the cluster and install the necessary charts in it. After that, all the script will do is re-deploy the rosetta images with different configuration if needed. | ||
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## Deploying Local Images | ||
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### Build the local containers | ||
In order to build rosetta containers with local changes, you need to do it from inside the dev container: | ||
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```bash | ||
$ ./ci/container/container-run.sh | ||
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# Build the TAR file target | ||
$ bazel build //rs/rosetta-api/icp:rosetta_image.tar | ||
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# Move the resulting TAR file to a place that can be accessed outside the dev container | ||
$ mv bazel-bin/rs/rosetta-api/icp/rosetta_image.tar /tmp | ||
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# Same for ICRC1 | ||
$ bazel build //rs/rosetta-api/icrc1:icrc_rosetta_image.tar | ||
$ mv bazel-bin/rs/rosetta-api/icrc1/icrc_rosetta_image.tar /tmp | ||
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# Exit the dev container | ||
$ exit | ||
``` | ||
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### Deploy the local containers | ||
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You can use the following flags to deploy additional containers with the TAR files generated above: | ||
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- `--local-icp-image-tar <path>`: Path to local ICP image tar file. | ||
- `--local-icrc1-image-tar <path>`: Path to local ICRC1 image tar file. | ||
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Example that deploys local versions for both: | ||
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```bash | ||
./deploy.sh --local-icp-image-tar /tmp/rosetta_image.tar --local-icrc1-image-tar /tmp/icrc_rosetta_image.tar | ||
``` | ||
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The services and pods deployed with those images will have a `-local` in their names. | ||
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### Cleaning up | ||
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You can add the `--clean` flag to any usage of `./deploy.sh`. That will wipe out the current cluster and install it from scratch. | ||
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For example, the following command installs all prod and local images in a clean cluster: | ||
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```bash | ||
./deploy.sh --local-icp-image-tar /tmp/rosetta_image.tar --local-icrc1-image-tar /tmp/icrc_rosetta_image.tar --clean | ||
``` | ||
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## Monitoring with Grafana | ||
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Grafana will run on port 3000. If you're running this in a remote devenv, you'll need to forward your local machine port to your devenv's one in order to access the service from your browser. | ||
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The first time you open `http://localhost:3000`, you'll be asked for login credentials. Use `admin` for both username and password. You'll be asked to change the password, you can either do so or just skip, it doesn't matter. | ||
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Once in Grafana, import a new dashboard. As an option to import, you'll see a text box to input a json file. Copy and paste the contents of the `rosetta_load_dashboard.json` file in this directory. | ||
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Services and pods with suffix `-latest` represent jobs running with the prod images while the ones with suffix `-local` are the ones running with the locally built ones. | ||
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## Notes | ||
- The script will automatically install Minikube if they are not found. | ||
- The script uses a dedicated Minikube profile (`local-rosetta`) to avoid conflicts with other Minikube clusters. |
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