Full, searchable session recording of every Datadog interaction lets you replay exactly what an autonomous agent did, when it did it, and why.
In many organizations, monitoring bots, auto‑scalers, and remediation scripts reach the Datadog API with a long‑lived API key that is baked into CI pipelines or stored in a shared vault. The key grants blanket read and write permissions, and the calls bypass any human review. When an unexpected alert triggers a cascade of metric updates, there is no reliable way to determine which agent issued which request, what data it saw, or whether the request complied with internal policies.
Moving to short‑lived OIDC tokens or service‑account identities improves credential hygiene, but the agents still connect directly to Datadog. The request travels straight from the runtime to Datadog’s HTTP endpoint, leaving the organization without a central point to enforce guardrails, capture request‑response payloads, or provide an immutable audit trail.
Why session recording matters for Datadog agents
Session recording fills the visibility gap. By capturing the full request and response stream for each interaction, you gain:
- Evidence of which identity performed a change, supporting investigations and audit reviews.
- The ability to replay a sequence of API calls to reproduce an incident or verify a remediation.
- Context for downstream alerts, so that downstream teams can see the exact data that triggered a rule.
These outcomes are only possible when the recording component sits in the data path between the agent and Datadog.
Introducing hoop.dev as the data‑path gateway
hoop.dev is a Layer 7 gateway that proxies connections to infrastructure services, including Datadog’s HTTP API. The gateway runs a network‑resident agent inside the same environment as Datadog endpoints. When an autonomous agent wants to interact with Datadog, it authenticates to hoop.dev using an OIDC or SAML token. hoop.dev validates the token, extracts group or role information, and then forwards the request to Datadog on behalf of the agent.
Because every request passes through hoop.dev, the platform can apply policy before the call reaches Datadog and record the entire session after the response returns. hoop.dev records each session, stores the audit trail securely, and makes the recordings searchable for later replay.
How the flow works for Datadog
1. Deploy the hoop.dev gateway using the quick‑start Docker Compose or your preferred Kubernetes manifest. The deployment includes the network‑resident agent that will talk to Datadog.
2. Register Datadog as a connection in hoop.dev, supplying the Datadog API endpoint and a service credential that hoop.dev will use. The credential never leaves the gateway.
3. Configure your autonomous agents to use the hoop.dev client (or set the HTTP proxy environment variable) so that all Datadog API calls are routed through the gateway.
4. When an agent initiates a request, hoop.dev checks the identity, applies any just‑in‑time approval policies, and forwards the request. The response is captured, optionally masked, and the full exchange is recorded.
Policy knobs you can enable
- Just‑in‑time access: Require a human approver for high‑risk write operations before the request is sent.
- Inline masking: Redact sensitive fields such as API keys or personally identifiable information from responses before they reach the agent.
- Command blocking: Prevent destructive actions (e.g., deleting monitors) unless the request matches an approved pattern.
All of these controls are enforced at the gateway, ensuring that the autonomous agent cannot bypass them by contacting Datadog directly.
Getting started
To implement session recording for your Datadog agents, follow the high‑level steps in the getting‑started guide. The documentation walks you through deploying the gateway, registering a Datadog connection, and configuring your agents to route traffic through hoop.dev. For deeper insights into the feature set, explore the learn section, which covers policy design, replay workflows, and integration patterns.
FAQ
Do I need to change my existing Datadog API keys?
No. hoop.dev stores the service credential internally and presents it to Datadog on behalf of the agent. Your existing keys can be rotated into the gateway without exposing them to the agents.
Can I replay a recorded session to a test environment?
Yes. Recorded sessions are stored in a format that can be replayed against a sandboxed Datadog instance, allowing you to verify the impact of a change without affecting production.
Does session recording meet audit requirements?
hoop.dev records each session and stores the audit trail securely for every Datadog interaction, providing the evidence needed for most internal and external audit frameworks.
Explore the source code, contribute improvements, or file issues on the GitHub repository.
