DevOps teams are drowning in repetitive tasks, complex troubleshooting, and endless ticket queues. What if AI could act—not just suggest—and handle those tasks securely within your infrastructure?
DevOps teams, SREs, and tech leadership face a relentless stream of tickets, troubleshooting, and manual tasks. DuploCloud, known for its focus on drastically simplifying DevOps for fast-moving teams, created the novel AI DevOps Help Desk with real-time, secure, action-oriented AI agents that diagnose, remediate, and automate—while keeping you in control. Here’s how our agentic framework transforms DevOps workflows while maintaining auditability, compliance, and security, starting with the creation of agents.
Why This Is More Than Just LLMs
Many AI solutions are simply wrappers around large language models (LLMs). But running commands isn’t the hard part—the orchestration around it that marks the difference between secure is.
Our AI Suite solves the real challenges of production automation:
- Injecting system context into prompts
- Selecting the right tool for the task
- Enforcing permission boundaries
- Managing workflows across agents and humans
- Logging and auditing every action
Think of this as a middleware layer between user intent and your infrastructure—where agents act intelligently, safely, and transparently.
How the AI Helpdesk Works
The Agentic Helpdesk is a real-time interface where users file support tickets that get routed to the right AI agent—just like assigning issues to a teammate.
Here’s what the flow looks like:
- User creates a ticket, such as “Why is my cart service crashing?”
- The agent enriches the request (e.g., “Cart service runs in the prod Kubernetes cluster”) using context from the infrastructure in the DuploCloud portal and the vector database
- The LLM returns a plan of action (e.g., check pod restarts and logs)
- The agent requests approval before executing commands
- Once approved, the agent runs the action and updates the user
- The user can stay involved, reject actions, add context, or take over directly
This turns helpdesk interactions into intelligent, secure workflows—without human toil or delay.
Automation Studio
The Automation Studio is the control center for creating and managing agents and the Python scripts they utilize (known as tools). Instead of writing custom orchestration logic from scratch,
DevOps teams use this low-code environment to define agent roles, attach Python tools for infrastructure tasks, connect vector databases for contextual knowledge, customize workflows, and enforce guardrails with RBAC and approval flows.
The Automation Studio abstracts the complexity of agent orchestration and gives you full control over what agents can do, where they run, and how they interact with humans.
Access Control & Security
Every action an agent takes is scoped by your internal controls. Specifically:
- Agents inherit the permissions of the user assigned to the ticket
- Admins define which tools each agent can access
- Approvals can be required for sensitive actions
- All actions are logged with full audit trails
- RBAC allows for further limiting of agent permissions
- SSO integrate natively with your identity provider
This ensures that agents operate predictably and securely—whether you're in a startup or a regulated enterprise.
You can run the AI Suite and Agentic Helpdesk inside your existing cloud infrastructure.Agents run entirely within your environment. No workloads need to be moved, and no sensitive data leaves your infrastructure.
Use Cases: What Teams Are Building
We’ve seen early customers use DuploCloud agents for a range of tasks:
Kubernetes troubleshooting with real-time diagnostics
Observability agents using OpenTelemetry to pinpoint performance issues
And much more, including:
ECS to EKS migrations with configuration translation
Docker Compose to Helm conversion workflows
Cost optimization agents that analyze usage and suggest savings
You can also define custom agents tailored to your internal workflows, tooling, and compliance standards. The Automation Studio gives you everything you need to test, version, and deploy these agents safely.
Why the Help Desk Interface Works
The ticketing model is familiar to every IT team: users describe a problem, and it gets routed to a specialist. We didn’t reinvent the workflow—we just made it intelligent, real-time, and autonomous.
Agents can:
- Pick up tickets and act immediately
- Request approvals for critical tasks
- Escalate or reassign issues
- Collaborate with users through terminal interfaces or screen shares
- Pause and resume workflows when needed
This makes the Helpdesk a collaborative interface between humans and agents—not a replacement.
What’s Next
We’re building toward a future where agent-powered workflows are the norm across every corner of infrastructure. Here’s what’s coming:
- Support for more LLM providers (GCP Vertex AI, Azure OpenAI)
- Expanded SDK and no-code tools for agent creation
- New out-of-the-box agents for compliance, SRE, migration, and onboarding
- White Label Helpdesk interfaces for ISVs and internal tools
Right now, we’re partnering closely with DevOps teams to co-develop agents and tune the platform. Eventually, teams will own the full agent lifecycle—just like they own infrastructure today.
Ready to try it?
