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Updated March 2026

Docker Integration

Last updated: March 18, 2026

Autonoly's Docker integration brings intelligent orchestration to every aspect of your container lifecycle. From the moment a developer merges code to the moment a containerized service is healthy in production, Autonoly can manage the entire chain without manual intervention. Image build automation starts with source control events: a merge to the main branch triggers a Docker build, the image is tagged with the commit SHA and semantic version, security scanning runs automatically, and the image is pushed to your registry only if all scans pass — with failure alerts sent to the team if they don't. Multi-container deployment coordination goes beyond what simple CI scripts can do: Autonoly can sequence container service restarts with health check verification between each step, implement blue-green or canary deployment patterns, and roll back automatically if health checks fail after a configurable window. Registry maintenance workflows keep your registries clean and compliant: old image versions are pruned on a schedule, critical base image updates trigger rebuild pipelines across all dependent service images, and audit logs of all image pushes and pulls are forwarded to your security tooling. Container fleet health monitoring enables proactive responses — when a container's health check fails repeatedly, Autonoly can restart it, notify the on-call engineer, create a Jira incident ticket, and update your status page, all as part of a single coordinated response workflow.

Setup time

10 minutes

Complexity

Advanced

Category

development

Features

Key Features

Everything you need to build powerful Docker automations

Automate Docker image building and testing on source control events

Orchestrate multi-container deployments with health check sequencing

Manage container registries: push, pull, tag, and prune automatically

Monitor container health and trigger automated remediation workflows

Run security scanning on built images before registry push

Coordinate complex multi-service container workflows end-to-end

Process

How It Works

Get up and running with Docker automation in minutes

1

Source control event triggers the pipeline

A merge to your main branch (in GitHub, GitLab, or Bitbucket) fires a webhook to Autonoly, which begins the container pipeline workflow for the affected service.

2

Image build is triggered

Autonoly calls your Docker build system — Docker Hub Automated Builds, a CI runner, or a direct Docker API call — passing the correct build context, build args, and tag parameters.

3

Security scan runs automatically

The newly built image is scanned for known CVEs using your configured scanner (Snyk, Trivy, or Docker Scout). Results are evaluated against your policy thresholds.

4

Image is promoted or build is failed

If the scan passes, the image is tagged and pushed to your production registry. If it fails, the team is notified with the CVE report and the deployment is blocked.

5

Deployment is orchestrated with health verification

Autonoly updates the deployment manifest, sequences the rollout across your container hosts, verifies health checks between each step, and rolls back automatically if a health check fails.

Use Cases

Who Uses This Integration

Discover how teams use Autonoly to automate Docker workflows

CI/CD Container Pipeline

On every code merge, automatically build the Docker image, run security scans, push to your registry if clean, update your deployment manifest, and deploy to staging — with Slack notifications at each stage.

Container Fleet Management

Monitor health across your running containers, auto-restart unhealthy instances, alert on persistent failures, and trigger incident workflows — keeping your fleet reliable without round-the-clock manual oversight.

Registry Maintenance

Automatically prune images older than a configurable retention window, rebuild service images when base images receive security patches, and enforce naming and tagging conventions across your registry.

Capabilities

Actions & Triggers

Everything Docker can do inside your automated workflows

Triggers

Events that start workflows

Image build completed successfully

Image build failed

Image pushed to registry

Container health check failed

New base image version published

Registry storage threshold exceeded

Operations

Actions the integration can perform

Trigger Docker image build

Tag and push image to registry

Pull and deploy specific image version

Run container security scan

Restart or stop specific container

Prune old images from registry

Update deployment manifest with new image tag

Setup

Setup Guide

Connect Docker to Autonoly in just a few steps

1

Connect your Docker registry

Provide credentials for Docker Hub, AWS ECR, Google Artifact Registry, or any other OCI-compliant registry you use. Multiple registries can be connected simultaneously.

2

Configure Docker host access

Connect Autonoly to your Docker hosts or Kubernetes cluster via the Docker API or kubectl context, enabling container management and health monitoring workflows.

3

Set up build triggers and deployment rules

Define which source control events trigger builds, configure security scan thresholds, set health check failure tolerances, and specify deployment sequencing rules.

FAQ

Frequently Asked Questions

Common questions about using Docker with Autonoly

Yes. Autonoly supports Docker Hub, AWS Elastic Container Registry (ECR), Google Artifact Registry, Azure Container Registry, GitHub Container Registry (ghcr.io), GitLab Container Registry, and any OCI-compliant private registry. You can connect multiple registries and route different services to different registries within the same workflow.

Yes. For Kubernetes environments, Autonoly interacts at the registry and deployment manifest level — updating image tags in Kubernetes manifests or Helm values files and triggering kubectl apply or Helm upgrade commands. Direct Docker API access is used for non-Kubernetes container hosts.

Autonoly has built-in integrations with Snyk Container, Trivy, Docker Scout, and AWS ECR image scanning. You can configure pass/fail thresholds based on CVSS severity scores, and the scan results are included in Slack notifications and Jira incident tickets.

Autonoly can trigger Docker Buildx builds targeting multiple platforms (linux/amd64, linux/arm64, etc.) and manage the resulting manifest list in your registry. Build arguments and platform targets are configurable per workflow.

Start automating Docker today

Connect your Docker account with Autonoly and build powerful AI-driven workflows in minutes — no coding required.

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