How is this any different from portainer, komodo blah blah..

[kundeng]

I don’t see any real differentiators here, and that’s a problem.

Our small team of business analysts and a couple of developers needs a streamlined platform to deploy and manage services without wrestling with Kubernetes’ steep learning curve. We require:

• Backup and restore

  • Example: We run a Redis cluster with docker service create --name redis redis:6. There’s no swarm orchestrator backup. We end up with scripts like:

    docker exec $(docker ps -qf "name=redis") \
      sh -c 'redis-cli SAVE && tar czf /backup/redis-$(date +%F).tar.gz /data'

  • Issue: Restoring a single dataset forces us to rebuild the entire stack and manually reapply updates.

• User-friendly secret management

  • Example: Credentials live in .env files:

    DB_PASSWORD=TopSecret!
    API_TOKEN=xyz-123

  • Issue: No central audit. Swarm orchestrator secrets mount files, but most images expect env vars. We wrap commands to fetch from Vault, export variables, then docker-compose up.

• True templating

  • Example: We store app.conf.j2:

    server {
      listen {{ port }};
      server_name {{ domain }};
      location / {
        proxy_pass http://{{ backend_host }}:{{ backend_port }};
      }
    }

    We run j2 app.conf.j2 > app.conf before deployment.
  • Issue: No native support in the Swarm orchestrator or Compose. Every environment needs custom scripts, and CI pipelines grow complex.

• GitOps workflows

  • Example: We want PR-driven deploys. A change to stack.yml in Git should auto-deploy via Flux or ArgoCD. Instead, we run:

    docker stack deploy -c stack.yml mystack

  • Issue: No audit trail of who deployed what. Rollbacks are manual and often skipped.

• Seamless monitoring integration

  • Example: We use docker stats for real-time metrics, then push JSON to Splunk:

    docker stats --no-stream --format '{{json .}}' | \
      curl -X POST https://splunk.example.com/collector -d @-

  • Issue: The Swarm orchestrator’s built-in CPU/memory view in the web GUI is a nice-to-have but irrelevant. What matters is exporting metrics to external tools like Nagios, SiteScope or Splunk for alerts, dashboards, and long-term analytics. Custom collectors and extra agents create inconsistency and noise.

Docker’s Swarm orchestrator gets us running in minutes but becomes unmanageable as services grow. Secrets don’t work with most containers. Metrics are basic and stuck in the UI. Failures force full rebuilds—no partial restore. Kubernetes solves these but demands a dedicated DevOps team we don’t have. We need one tool that covers all these needs out of the box.