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2 Commits
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be0277432b | ||
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a3006f3b9f |
8
.github/workflows/docker.yml
vendored
8
.github/workflows/docker.yml
vendored
@@ -42,7 +42,7 @@ jobs:
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- name: Run Buildx with output
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run: docker buildx build --platform linux/$(echo ${{matrix.architecture}} | tr - /) -t $REPO-arch:arch-$(echo ${{matrix.architecture}} | tr / -)-${{steps.short-sha.outputs.sha}} --output type=tar,dest=output-${{matrix.architecture}}.tar .
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- name: Strip binary
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run: mkdir -p output/ && tar -xf output-${{matrix.architecture}}.tar -C output && rm output-${{matrix.architecture}}.tar && cd output/ && tar -cf ../output-${{matrix.architecture}}.tar -C home/agent . && rm -rf output
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run: mkdir -p output/ && tar -xf output-${{matrix.architecture}}.tar -C output && rm output-${{matrix.architecture}}.tar && cd output/ && tar -cf ../agent-${{matrix.architecture}}.tar -C home/agent . && rm -rf output
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- uses: rickstaa/action-create-tag@v1
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with:
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tag: ${{ steps.short-sha.outputs.sha }}
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@@ -53,7 +53,7 @@ jobs:
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latest: true
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name: ${{ steps.short-sha.outputs.sha }}
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tag: ${{ steps.short-sha.outputs.sha }}
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artifacts: "output-${{matrix.architecture}}.tar"
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artifacts: "agent-${{matrix.architecture}}.tar"
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build-other:
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runs-on: ubuntu-latest
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permissions:
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@@ -89,7 +89,7 @@ jobs:
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- name: Run Buildx with output
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run: docker buildx build --platform linux/$(echo ${{matrix.architecture}} | tr - /) -t $REPO-arch:arch-$(echo ${{matrix.architecture}} | tr / -)-${{steps.short-sha.outputs.sha}} --output type=tar,dest=output-${{matrix.architecture}}.tar .
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- name: Strip binary
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run: mkdir -p output/ && tar -xf output-${{matrix.architecture}}.tar -C output && rm output-${{matrix.architecture}}.tar && cd output/ && tar -cf ../output-${{matrix.architecture}}.tar -C home/agent . && rm -rf output
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run: mkdir -p output/ && tar -xf output-${{matrix.architecture}}.tar -C output && rm output-${{matrix.architecture}}.tar && cd output/ && tar -cf ../agent-${{matrix.architecture}}.tar -C home/agent . && rm -rf output
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- name: Create a release
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uses: ncipollo/release-action@v1
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with:
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@@ -97,5 +97,5 @@ jobs:
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allowUpdates: true
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name: ${{ steps.short-sha.outputs.sha }}
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tag: ${{ steps.short-sha.outputs.sha }}
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artifacts: "output-${{matrix.architecture}}.tar"
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artifacts: "agent-${{matrix.architecture}}.tar"
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@@ -110,6 +110,7 @@ As described before a Kerberos Agent is a container, which can be deployed throu
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We have documented the different deployment models [in the `deployments` directory](https://github.com/kerberos-io/agent/tree/master/deployments) of this repository. There you'll learn and find how to deploy using:
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- [Static binary](https://github.com/kerberos-io/agent/tree/master/deployments#0-static-binary)
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- [Docker](https://github.com/kerberos-io/agent/tree/master/deployments#1-docker)
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- [Docker Compose](https://github.com/kerberos-io/agent/tree/master/deployments#2-docker-compose)
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- [Kubernetes](https://github.com/kerberos-io/agent/tree/master/deployments#3-kubernetes)
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@@ -6,6 +6,7 @@ Due to it's nature, of acting as a micro service, there are many different ways
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We will discuss following deployment models.
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- [0. Static binary](#0-static-binary)
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- [1. Docker](#1-docker)
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- [2. Docker Compose](#2-docker-compose)
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- [3. Kubernetes](#3-kubernetes)
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@@ -14,6 +15,19 @@ We will discuss following deployment models.
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- [6. Terraform](#6-terraform)
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- [7. Salt](#7-salt)
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## 0. Static binary
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Kerberos Agents are now also shipped as static binaries. Within the Docker image build, we are extracting the Kerberos Agent binary and are [uploading them to the releases page](https://github.com/kerberos-io/agent/releases) in the repository. By opening a release you'll find a `.tar` with the relevant files.
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- `main`: this is the Kerberos Agent binary.
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- `data`: the folder containing the recorded video, configuration, etc.
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- `mp4fragment`: a binary to transform MP4s to Fragmented MP4s.
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- `www`: the Kerberos Agent ui (compiled React app).
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You can run the binary as following on port `8080`:
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main run cameraname 8080
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## 1. Docker
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Leveraging `docker` is probably one of the easiest way to run and test the Kerberos Agent. Thanks to it's multi-architecture images you could run it on almost every machine. The `docker` approach is perfect for running one or two cameras in a (single machine) home deployment, a POC to verify its capabilities, or testing if your old/new IP camera is operational with our Kerberos Agent.
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