Agentic engineering gets really interesting when it moves beyond dashboards and alerts and starts taking action. just to answer basic questions, I can build a system that understands what broke, who owns it, what changed recently, what the dependencies are, and whether the problem can be healed automatically.
Agentic engineering gets really interesting when it moves beyond dashboards and alerts and starts taking action.
That is exactly what I set up with Port as the context layer and Datadog as the monitoring and tracing layer.
just to answer basic questions, I can build a system that understands what broke, who owns it, what changed recently, what the dependencies are, and whether the problem can be healed automatically.
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Agentic engineering gets really interesting when it moves beyond dashboards and alerts and starts taking action. just to answer basic questions, I can build a system that understands what broke, who owns it, what changed recently, what the dependencies are, and whether the problem can be healed automatically. That is exactly what I set up with Port as the context layer and Datadog as the monitoring and tracing layer.
One of the clearest places to apply it is incident response. Port tells me what that thing means inside the organization. Once those two are wired together with automation, I get a practical example of agentic engineering in action: incidents can be investigated, enriched with context, auto-resolved when possible, or escalated to the right team with the right details.
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