dt-obs-network-flows — Claude Code skill: network flow analysis
A Dynatrace skill that reads network flows from three sources and answers who talks to whom and where connections break.
npx skills add Dynatrace/dynatrace-for-ai --skill dt-obs-network-flows -a claude-codeWhat dt-obs-network-flows does
This skill handles questions metrics and traces cannot: who talks to whom, which entities push the most traffic, which connections reset, and what the round-trip time looks like. It sits on top of three Dynatrace flow sources. OneAgent flows capture host, process and pod connections to peers as events in the default_network_flows Grail bucket. NetFlow, IPFIX and sFlow come from network hardware and land in logs through an OpenTelemetry Collector. Cloud flow logs cover AWS VPC and Transit Gateway; Azure and GCP are planned.
Routing is the point. The skill decides which source a question belongs to and pulls the reference file with the matching DQL. When a flow shows up in two sources at once, the one with richer entity context wins, and that is usually OneAgent. For cloud logs the author recommends a dedicated bucket instead of mixing them into a shared one.
The boundaries are explicit. Host NIC throughput and packet drops belong to dt-obs-hosts, service request rate and latency to dt-obs-services, synthetic uptime monitoring to dt-obs-ext-monitors. This one is about flows, and it will not stand in for the rest. Resolving a raw IP back to a monitored entity lives in a shared reference file used by both OneAgent flows and NetFlow.
What it helps with
- find the hosts generating the most traffic
- map dependencies between pods and external endpoints
- work out why a connection resets or times out
- measure retransmission share and RTT for one conversation
- resolve a raw IP:port to a monitored host, process or service
Example prompts for the agent
- show me the top talkers by bandwidth for the last hour
- which pods talk to external endpoints, and on which ports
- dig into the connection resets between these two hosts
How to install dt-obs-network-flows
1Skills CLI (Vercel)
npx skills add Dynatrace/dynatrace-for-ai --skill dt-obs-network-flows -a claude-code2Manually: put the files in place
~/.claude/skills/dt-obs-network-flows/SKILL.mdCopy the whole skill folder; for one project use .claude/skills/dt-obs-network-flows/
1Skills CLI (Vercel)
npx skills add Dynatrace/dynatrace-for-ai --skill dt-obs-network-flows -a codex2Manually: put the files in place
.agents/skills/dt-obs-network-flows/SKILL.mdFor all projects use ~/.agents/skills/
1Skills CLI (Vercel)
npx skills add Dynatrace/dynatrace-for-ai --skill dt-obs-network-flows -a cursor2Manually: put the files in place
.cursor/skills/dt-obs-network-flows/SKILL.mdCursor also reads .agents/skills/ and .claude/skills/
1GitHub CLI
gh skill install Dynatrace/dynatrace-for-ai dt-obs-network-flows2Manually: put the files in place
.github/skills/dt-obs-network-flows/SKILL.md1Skills CLI (Vercel)
npx skills add Dynatrace/dynatrace-for-ai --skill dt-obs-network-flows -a gemini-cli2Platform CLI
gemini skills install https://github.com/Dynatrace/dynatrace-for-ai --path skills/dt-obs-network-flowsManually: put the files in place
.devin/skills/dt-obs-network-flows/SKILL.mdThe legacy .windsurf/skills/ path still works
Skills CLI (Vercel)
npx skills add Dynatrace/dynatrace-for-ai --skill dt-obs-network-flows -a opencodeClaude.ai
Zip the folder and upload it in Settings → Capabilities → Skills
Step by step, with commands for each platform: How to install skills in Claude Code: five ways
Questions about dt-obs-network-flows
How do I install dt-obs-network-flows in Claude?
Run npx skills add Dynatrace/dynatrace-for-ai --skill dt-obs-network-flows -a claude-code. The skill file then lands at ~/.claude/skills/dt-obs-network-flows/SKILL.md.
What does dt-obs-network-flows do?
It analyzes Dynatrace network flows across three sources and answers questions about entity-to-entity traffic, top talkers, connection health, and peer resolution to monitored entities.
How is it different from dt-obs-hosts?
Flows are its scope. Host NIC throughput and packet drops stay with dt-obs-hosts, while service request rate and latency stay with dt-obs-services.
Source text
SKILL.md · Apache-2.0
--- 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 --- # Network Flows Skill 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. ## What Network Flows Tell You Network flow data answers questions that metrics and traces cannot: - **Who talks to whom** — communication dependencies between hosts, processes, pods, services, and external endpoints - **Top talkers** — which entities generate the most traffic, by bytes or connection count - **Connection health** — resets, timeouts, retransmissions, and round-trip time (RTT) per conversation - **Traffic composition** — protocol (TCP/UDP), destination ports, direction (client vs server) - **Peer resolution** — mapping raw IP:port peers back to monitored entities (host, process, pod, service) or flagging them as external --- ## The Three Flow Sources 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. | ### Routing logic 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. --- ## Related Network Data in Dynatrace 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. --- ## Reference Files - [references/oneagent-flows/oneagent-flows.md](references/oneagent-flows/oneagent-flows.md) — **Validated.** Data model, field reference, and DQL for the `default_network_flows` bucket: top talkers, traffic maps, protocol/port breakdowns, connection health (resets/timeouts/retransmissions/RTT), bandwidth in bps, and which side of a flow is the peer. - [references/peer-resolution/peer-resolution.md](references/peer-resolution/peer-resolution.md) — **Validated.** Shared Smartscape lookups that resolve a raw flow IP (and optional port) to a monitored host, process, Kubernetes pod, or service (host → pod → service → external). Used by both OneAgent flows and NetFlow. - [references/oneagent-flows/configuration.md](references/oneagent-flows/configuration.md) — Enabling and tuning `builtin:network-connection-monitoring` (the setting that produces OneAgent flow data). - [references/netflow/netflow.md](references/netflow/netflow.md) — **Validated.** NetFlow/IPFIX/sFlow ingested via an OpenTelemetry Collector into `logs`: data model, direction semantics (unidirectional, no client/server role), and DQL for top conversations/talkers/ports, protocol breakdowns, traffic-over-time, and per-exporter/per-interface views. - [references/netflow/configuration.md](references/netflow/configuration.md) — OTel Collector `netflow`-receiver ingestion path and the dedicated-bucket routing recommendation for netflow logs. - [references/cloud-flows/aws/aws.md](references/cloud-flows/aws/aws.md) — **Validated (AWS).** AWS VPC Flow Logs and Transit Gateway flow logs ingested into `logs`: `aws.vpc`/`aws.tgw` field model (incl. `pkt_srcaddr` vs `srcaddr`, `log_status` filtering), and DQL for top conversations/talkers/ports, rejected-traffic (security), egress `traffic_path`, per-VPC/subnet/AZ, inter-VPC, traffic-over-time, and TGW packet-loss. Also AWS entity resolution — ENI/instance by id or IP-in-`aws.object` — for agentless resources the shared peer lookups miss. - [references/cloud-flows/aws/configuration.md](references/cloud-flows/aws/configuration.md) — Amazon Data Firehose ingestion path for AWS flow logs and the dedicated-bucket routing recommendation. *(Azure NSG/VNet and GCP VPC flow logs are not yet documented; add them as sibling `cloud-flows/<provider>/` folders when tenant data is available.)*
© Dynatrace · Apache-2.0 · Dynatrace/dynatrace-for-ai