DigitalOcean AI employee

A Superkind AI employee that checks deployments, investigates alerts, monitors resources, and explains errors in DigitalOcean. Message it in Teams or Outlook, Superkind works in DigitalOcean and reports back with the result. Sensitive actions such as deployments or changes to production resources wait for your approval.

  • Hosted in the EU
  • GDPR data processing agreement
  • Ready to start today
  • Works in Teams, Slack and more

What is a DigitalOcean AI employee?

A DigitalOcean AI employee connects to your DigitalOcean account and completes concrete tasks there. It checks Droplets, Apps, Kubernetes clusters, Databases, and alerts and takes the appropriate actions. Superkind builds it with your company knowledge, operating rules, and responsibilities.

Unlike Zapier or Make, there is nothing to configure. You describe the outcome you need, Superkind picks the right DigitalOcean actions, chains them with Teams, Jira, or other systems, and asks for your approval before sensitive changes.

About DigitalOcean

DigitalOcean is a cloud platform for Droplets, App Platform, Kubernetes, Managed Databases, storage, networking, and monitoring.

  1. You ask in Teams

    Describe which system or event you want to check in plain English.

  2. Superkind picks the actions

    Selects the right DigitalOcean actions and connects them to your process.

  3. DigitalOcean

    Superkind works in DigitalOcean

    Checks deployments, alerts, and resources using your real operating data.

  4. Superkind reports back

    Delivers the cause, status, and next steps in Teams or Outlook.

Try asking

What can you ask Superkind to do in DigitalOcean?

Messages you would actually send. Copy one, swap in your specifics, and Superkind takes it from there.

Check the latest deployment of the kundenportal app in DigitalOcean and summarise its status and errors.

you, to @Superkind

Please explain the likely cause of the CPU alert on the Droplet api-prod-1.

you, to @Superkind

Create a Jira ticket for the failed DigitalOcean deployment, including logs and a recommended priority.

you, to @Superkind

Let me know here as soon as DigitalOcean detects a new incident, with the affected resource and initial cause.

you, to @Superkind
How it works

How does Superkind work with DigitalOcean?

  1. Native integrations and connectors for 1,000+ tools

    1Connect your systems

    Connect DigitalOcean with a secure API token and limited permissions. Add Teams, Outlook, Jira, and the systems your operations team already uses. Superkind checks the connection. Everything is then ready for your tasks.

  2. Lena Hoffmann9:12 AM

    @Superkind please check the failed deployment of the DigitalOcean app kundenportal and create a Jira ticket.

    @SuperkindApp9:13 AM

    On it. I am checking the DigitalOcean deployment and documenting the cause in the Jira ticket.

    2Tell Superkind what you need

    Message Superkind in Teams like a colleague. Ask for the status of a DigitalOcean deployment or the cause of an alert. Superkind understands the goal and pulls the relevant operating data. Follow-up questions arrive directly in Teams.

  3. @SuperkindApp9:14 AM
    • App kundenportal: deployment failed
    • Build log: ENV variable missing
    • Jira ticket OPS-184 created
    DigitalOcean
    Jira ticket OPS-184High priority · 3 logs
    Waiting for your approvalRestart the deployment?

    3Superkind operates, you approve

    Superkind checks DigitalOcean, summarises logs and metrics, and reports the result in Teams. A deployment or change to production resources starts only after your approval. Every step is logged.

Actions

What can Superkind do in DigitalOcean?

Ask in plain English from Teams or Outlook. Superkind picks the right DigitalOcean actions, runs the work, and reports back. No workflows to build.

  • Droplets

    List Droplets

    Lists Droplets with region, size, image, status, and IP addresses.

  • Droplets

    Inspect Droplet

    Reads the configuration, status, tags, and network details of a Droplet.

  • Droplets

    Analyse metrics

    Analyses CPU, memory, disk, and bandwidth metrics for a Droplet.

  • DropletsNeeds approval

    Create Droplet

    Creates a Droplet from a size, region, image, SSH keys, and tags.

  • App Platform

    List Apps

    Lists App Platform Apps with region, active deployment ID, and tier.

  • App Platform

    Inspect deployment

    Checks the phase, cause, progress, and components of an App Platform deployment.

  • App Platform

    Read build logs

    Reads build logs from an App Platform component for troubleshooting.

  • App Platform

    Read app logs

    Reads runtime logs from services, workers, and jobs in an App Platform App.

  • App PlatformNeeds approval

    Redeploy App

    Starts a new deployment for an App Platform App.

  • Kubernetes

    List clusters

    Lists Kubernetes clusters with region, version, status, and node pools.

  • Kubernetes

    Check cluster status

    Checks the health, endpoint, version, and maintenance window of a Kubernetes cluster.

  • Kubernetes

    Inspect node pools

    Lists node pools with size, count, tags, and autoscaling settings.

  • KubernetesNeeds approval

    Scale node pool

    Changes the count or autoscaling limits of a Kubernetes node pool.

  • Databases

    List clusters

    Lists Managed Database clusters with engine, version, region, size, and status.

  • Databases

    Check database status

    Checks the health, maintenance window, replicas, and connection details of a Database cluster.

  • Databases

    List backups

    Lists available backups for a Managed Database cluster with creation times.

  • DatabasesNeeds approval

    Scale Database cluster

    Changes the size or node count of a Managed Database cluster.

  • Networking

    Inspect Load Balancer

    Checks the status, forwarding rules, health checks, and Droplet assignments of a Load Balancer.

  • Networking

    List Firewalls

    Lists Cloud Firewalls with rules, Droplets, and tags.

  • NetworkingNeeds approval

    Change Firewall rules

    Adds inbound rules or outbound rules to a Cloud Firewall.

  • Networking

    Inspect Domains

    Lists Domains and DNS records with type, name, value, and TTL.

  • Other

    List alerts

    Lists Monitoring Alert Policies with threshold, window, and notifications.

  • Other

    Inspect Uptime Checks

    Checks Uptime Checks, targets, regions, latency, and current state.

  • Other

    List Projects

    Lists Projects with description, environment, purpose, and assigned resources.

  • Other

    Analyse billing

    Reads balance, invoices, and usage based costs for the DigitalOcean account.

  • OtherNeeds approval

    Create Project

    Creates a Project with a name, purpose, environment, and description.

Works with your stack

Superkind uses DigitalOcean together with your other systems

Ask for outcomes across tools. The AI employee checks DigitalOcean, compares the finding with GitHub or Jira, and reports the finished result in Teams or Outlook.

Matching AI employees

Superkind AI employees that work with DigitalOcean

Every role brings its expertise and uses DigitalOcean as one of its tools.

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FAQ

Frequently asked questions

Everything you need to know about your AI employee for DigitalOcean.

Yes. Superkind connects DigitalOcean through a managed connector. Your team can then put the AI employee to work in DigitalOcean from Microsoft Teams or Outlook. It reads status, deployments, logs, metrics, and resources and performs agreed actions. It only receives the permissions required for the specific use case.

An admin creates a DigitalOcean API token with the smallest practical scopes and stores it securely in the managed connector. Together, we select the Projects and resources Superkind may access. We then test one read action and one approval in Teams. The connection is now ready for the agreed tasks.

The AI employee can inspect Droplets, App Platform deployments, Kubernetes clusters, Managed Databases, Load Balancers, Firewalls, Domains, alerts, and billing data. It reads logs and metrics, explains likely causes of errors, and documents results in Jira or Teams. After approval, it can also create resources, redeploy Apps, or adjust capacity.

No. With Zapier or Make, you build triggers, steps, and error paths and maintain them later. With the AI employee, you describe your goal in plain English. Superkind picks the right DigitalOcean actions itself, connects them to Jira, GitHub, or Teams when needed, and asks questions when details are missing for safe execution.

Only with your approval. Superkind can independently read and summarise status, logs, metrics, and configurations. A new deployment, a scaling change, updated Firewall rules, or a new billable resource waits for a responsible person to approve it in Teams. Your team decides which additional DigitalOcean actions count as sensitive.

Superkind is hosted in the EU and we sign a GDPR data processing agreement. The API token receives minimal permissions and can be limited to the necessary resources. Your DigitalOcean data is not used for training. Every action and approval is logged so your team can trace access and changes.

DigitalOcean charges for infrastructure based on usage. Droplets start at about 4 US dollars per month, App Platform at about 5 US dollars per month, while larger production environments can quickly reach the low hundreds of euros. Zapier starts at about 20 euros a month and Make at about 10 euros, both plus setup time. Superkind is priced per use case, a fraction of a full-time hire.

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