dt-alerting
End-to-end Dynatrace alerting lifecycle — anomaly detector setup and model selection (static threshold, adaptive baseline,…
Network flow analysis in Dynatrace across three sources: OneAgent flows (host/process/pod-to-peer connections in the `default_network_flows` Grail bucket), NetFlow/IPFIX/sFlow (via an OpenTelemetry Collector), and cloud flow logs (AWS VPC / Transit Gateway; Azure and GCP
$ npx -y skills add Dynatrace/dynatrace-for-ai --skill dt-obs-network-flows --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/dt-obs-network-flowsContext preview
The summary Claude sees to decide when to auto-load this skill.
Network flow analysis in Dynatrace across three sources: OneAgent flows (host/process/pod-to-peer connections in the `default_network_flows` Grail bucket), NetFlow/IPFIX/sFlow (via an OpenTelemetry Collector), and cloud flow logs (AWS VPC / Transit Gateway; Azure and GCP
name: dt-obs-network-flows description: >- Network flow analysis in Dynatrace across three sources: OneAgent flows (host/process/pod-to-peer connections in the `default_network_flows` Grail bucket), NetFlow/IPFIX/sFlow (via an OpenTelemetry Collector), and cloud flow logs (AWS VPC / Transit Gateway; Azure and GCP planned). Use to analyze traffic between entities, find top talkers by bandwidth, map communication dependencies, investigate connection health (resets, timeouts, retransmissions, RTT), and resolve peers to monitored entities. Routes each question to the right source; source-specific DQL lives in the reference files. Trigger: "network flows", "top talkers", "traffic between hosts", "connection resets", "TCP retransmissions", "RTT", "pod connections", "network dependencies", "NetFlow", "IPFIX", "sFlow", "VPC flow logs", "cloud network traffic". Do NOT use for host NIC throughput or packet drops (use dt-obs-hosts), service request rate or latency (use dt-obs-services), or synthetic/uptime monitoring (use dt-obs-ext-monitors). license: Apache-2.0
Analyze network traffic in Dynatrace across three flow data sources. This skill covers the **use cases** network flows enable and routes each question to the right source and reference file. The detailed, source-specific DQL lives in the reference files.
Network flow data answers questions that metrics and traces cannot:
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Choose the source based on **where the traffic is** and **what is capturing it**. When more than one applies, prefer the source with the richest entity context (usually OneAgent).
| Source | Captured by | Data location | Entity context | Use when | |---|---|---|---|---| | **OneAgent flows** | OneAgent network agent on the host | **events** in the `default_network_flows` Grail bucket | Rich — the capturing entity (client or server) resolved to host / process / pod smartscape IDs; the remote peer as IP:port | Traffic to/from OneAgent-monitored hosts, processes, or Kubernetes pods. **The default and most detailed source.** | | **NetFlow / IPFIX / sFlow** | Network devices (switches, routers), ingested via an OpenTelemetry Collector | **logs** (`otel.scope.name == "otelcol/netflowreceiver"`; recommend routing to a dedicated bucket) | Device/interface level — raw IPs, exporter, interfaces; no smartscape entities | Traffic seen by network hardware. Covers east-west and north-south flows at the network layer. | | **Cloud flow logs** | Cloud provider (AWS VPC / TGW; Azure, GCP not yet documented) | **logs** (`log.type == "aws.vpc"` / `"aws.tgw"`; recommend routing to a dedicated bucket) | Cloud resource level — VPC / subnet / AZ / ENI, TGW attachment; raw IPs, no smartscape entities | Traffic within/across cloud networks, including managed services and resources without an agent. |
1. **Is the traffic to/from a OneAgent-monitored host, process, or pod?** → OneAgent flows. See [references/oneagent-flows/oneagent-flows.md](references/oneagent-flows/oneagent-flows.md). 2. **Is it device-level or from unmonitored hosts?** → NetFlow. See [references/netflow/netflow.md](references/netflow/netflow.md). 3. **Is it cloud-network / managed-service traffic?** → Cloud flow logs (per provider). AWS: [references/cloud-flows/aws/aws.md](references/cloud-flows/aws/aws.md).
> The three sources overlap. A pod-to-pod flow may appear in both OneAgent flows (with full pod context) and cloud flow logs (as ENI-to-ENI). Lead with the source that carries the entity context the user needs, and mention the alternative only if the primary source has no data.
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Network flows are one part of Dynatrace's network observability. Route to these when the question is not about flows:
| The user wants… | Use | |---|---| | Host NIC throughput, link utilization, packet drops/errors | [dt-obs-hosts](../dt-obs-hosts/SKILL.md) → `references/host-metrics.md` (Network Monitoring section) | | Process-level network I/O and TCP connection quality metrics | [dt-obs-hosts](../dt-obs-hosts/SKILL.md) → `references/process-monitoring.md` | | Kubernetes pod connections and cluster network topology | [dt-obs-kubernetes](../dt-obs-kubernetes/SKILL.md) | | Service request rate, latency, error rate | [dt-obs-services](../dt-obs-services/SKILL.md) | | External / synthetic uptime and network-availability monitors | [dt-obs-ext-monitors](../dt-obs-ext-monitors/SKILL.md) | | Network devices — switches, routers, firewalls (SNMP/monitoring) | `dt-obs-network-devices` *(planned — not yet available)* |
> A future macro **`dt-obs-network`** skill may connect all network concepts (devices, hosts/process/pod metrics, flows, availability monitors, cloud network monitoring). Until it exists, this skill carries the flow-specific cross-links above.
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Everything AI agents need to work with Dynatrace, starting with skills. Skills are portable knowledge packages following the Agent Skills open format. They give AI coding agents the domain-specific context to query, analyze, and interpret Dynatrace data.
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