dt-obs-aws — Claude Code skill: what it does, how to install
Monitors AWS cloud resources using Dynatrace Smartscape and DQL queries, covering EC2, RDS, VPC networking, and cost optimization.
npx skills add Dynatrace/dynatrace-for-ai --skill dt-obs-aws -a claude-codeWhat dt-obs-aws does
The skill provides DQL query templates and context for analyzing AWS infrastructure within Dynatrace. It interacts with Smartscape graph nodes prefixed with AWS_*, including EC2 instances, RDS databases, Lambda functions, and VPC networking entities. It also tracks relationship types such as is_attached_to for storage volumes and balances for target groups.
For CloudWatch metric queries, the skill structures timeseries calls following the cloud.aws.<service>.<MetricName>.By.<DimensionName> convention. It also assists in identifying security and cost issues, such as publicly exposed databases or unattached EBS volumes.
This skill does not handle generic host CPU metrics, application tracing, or log analysis. Dynatrace routes those specific needs to dt-obs-hosts, dt-obs-tracing, and dt-obs-logs. Using this skill for standard server telemetry will yield wrong query patterns.
What it helps with
- find unattached EBS volumes to reduce AWS cloud spending
- list publicly accessible RDS instances or databases lacking Multi-AZ
- inspect all resources and subnet capacity across a specific VPC
- map load balancers to target groups and backend EC2 instances
Example prompts for the agent
- Find unattached EBS volumes for cost savings
- Show me all EC2 instances in us-east-1
- Find all resources in VPC vpc-0be61db7c5d2d1bd1
How to install dt-obs-aws
1Skills CLI (Vercel)
npx skills add Dynatrace/dynatrace-for-ai --skill dt-obs-aws -a claude-code2Manually: put the files in place
~/.claude/skills/dt-obs-aws/SKILL.mdCopy the whole skill folder; for one project use .claude/skills/dt-obs-aws/
1Skills CLI (Vercel)
npx skills add Dynatrace/dynatrace-for-ai --skill dt-obs-aws -a codex2Manually: put the files in place
.agents/skills/dt-obs-aws/SKILL.mdFor all projects use ~/.agents/skills/
1Skills CLI (Vercel)
npx skills add Dynatrace/dynatrace-for-ai --skill dt-obs-aws -a cursor2Manually: put the files in place
.cursor/skills/dt-obs-aws/SKILL.mdCursor also reads .agents/skills/ and .claude/skills/
1GitHub CLI
gh skill install Dynatrace/dynatrace-for-ai dt-obs-aws2Manually: put the files in place
.github/skills/dt-obs-aws/SKILL.md1Skills CLI (Vercel)
npx skills add Dynatrace/dynatrace-for-ai --skill dt-obs-aws -a gemini-cli2Platform CLI
gemini skills install https://github.com/Dynatrace/dynatrace-for-ai --path skills/dt-obs-awsManually: put the files in place
.devin/skills/dt-obs-aws/SKILL.mdThe legacy .windsurf/skills/ path still works
Skills CLI (Vercel)
npx skills add Dynatrace/dynatrace-for-ai --skill dt-obs-aws -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-aws
How to install dt-obs-aws in Claude Code?
Run npx skills add Dynatrace/dynatrace-for-ai --skill dt-obs-aws -a claude-code. The skill configuration is stored at ~/.claude/skills/dt-obs-aws/SKILL.md.
What does dt-obs-aws do?
It guides coding agents in querying AWS entities through Dynatrace Smartscape and DQL. It covers resource inventory, networking topologies, and cost-reduction audits.
When should dt-obs-aws be avoided?
Avoid it for host CPU metrics, app tracing, or log parsing. Those tasks require dt-obs-hosts, dt-obs-tracing, or dt-obs-logs instead.
Source text
SKILL.md · Apache-2.0
---
name: dt-obs-aws
description: >-
AWS cloud resource monitoring including EC2, RDS, Lambda, ECS/EKS, VPC networking, load balancers,
S3, DynamoDB, SQS/SNS, and cost optimization. Use when analyzing AWS infrastructure, resource
inventory, security compliance, capacity planning, or cost savings.
Trigger: "show EC2 instances", "find RDS databases", "VPC resources", "AWS cost optimization",
"Lambda functions", "ECS services", "security groups", "unattached EBS volumes",
"AWS load balancer topology", "publicly accessible databases", "AWS dashboards".
Do NOT use for explaining existing queries, product documentation questions,
generic host CPU/memory metrics (use dt-obs-hosts), application-level tracing
(use dt-obs-tracing), or log analysis (use dt-obs-logs).
license: Apache-2.0
---
# AWS Cloud Infrastructure
Monitor and analyze AWS resources using Dynatrace Smartscape and DQL. Query AWS services, optimize costs, manage security, and plan capacity across your AWS infrastructure.
## When to Use This Skill
Use this skill when the user needs to work with AWS resources in Dynatrace. Load the reference file for the task type:
- **Inventory:** "Show me all EC2 instances in us-east-1"
- **Network:** "Find all resources in VPC vpc-abc123"
- **Database:** "List all RDS instances with Multi-AZ enabled"
- **Serverless:** "Show Lambda functions with VPC access"
- **Cost:** "Find unattached EBS volumes for cost savings"
- **Security:** "Identify publicly accessible databases"
- **Compliance:** "Find resources missing Environment tags"
- **Capacity:** "Analyze subnet IP utilization"
- **Troubleshoot:** "Map load balancer to instances through target groups"
- **Problem Analysis:** "What changed before this AWS problem?" / "What events affected this resource?"
- **Workload Context:** "Is this instance behind a load balancer, in an EKS cluster, or managed by ECS?"
- **Events:** "Have there been any recent events in AWS affecting this resource?"
---
## Core Concepts
### Entity Types
AWS resources use the `AWS_*` prefix and can be queried using the `smartscapeNodes` function. All AWS entities are automatically discovered and modeled in Dynatrace Smartscape.
**Compute:** `AWS_EC2_INSTANCE`, `AWS_LAMBDA_FUNCTION`, `AWS_ECS_CLUSTER`, `AWS_ECS_SERVICE`, `AWS_EKS_CLUSTER`
**Networking:** `AWS_EC2_VPC`, `AWS_EC2_SUBNET`, `AWS_EC2_SECURITYGROUP`, `AWS_EC2_NATGATEWAY`, `AWS_EC2_VPCENDPOINT`
**Database:** `AWS_RDS_DBINSTANCE`, `AWS_RDS_DBCLUSTER`, `AWS_DYNAMODB_TABLE`, `AWS_ELASTICACHE_CACHECLUSTER`
**Storage:** `AWS_S3_BUCKET`, `AWS_EC2_VOLUME`, `AWS_EFS_FILESYSTEM`
**Load Balancing:** `AWS_ELASTICLOADBALANCINGV2_LOADBALANCER`, `AWS_ELASTICLOADBALANCINGV2_TARGETGROUP`
**Messaging:** `AWS_SQS_QUEUE`, `AWS_SNS_TOPIC`, `AWS_EVENTS_EVENTBUS`, `AWS_MSK_CLUSTER`
### Common AWS Fields
All AWS entities include:
- `aws.account.id` - AWS account identifier
- `aws.region` - AWS region (e.g., us-east-1)
- `aws.resource.id` - Unique resource identifier
- `aws.resource.name` - Resource name
- `aws.arn` - Amazon Resource Name
- `aws.vpc.id` - VPC identifier (for VPC-attached resources)
- `aws.subnet.id` - Subnet identifier
- `aws.availability_zone` - Availability zone
- `aws.security_group.id` - Security group IDs (array)
- `tags` - Resource tags (use `tags[TagName]`)
### AWS Fields on Logs and Bizevents
AWS-originated **logs** (`fetch logs`) carry these fields — no exploration needed:
- `aws.region`, `aws.account.id`, `aws.service`, `aws.log_group`, `aws.log_stream`
- Plus standard log fields: `content`, `loglevel`, `timestamp`, `k8s.*`, `dt.smartscape.*`
AWS-originated **bizevents** (`fetch bizevents`) carry:
- `aws.region`, `aws.account.id`, `event.type`, `event.provider`
Use `filter isNotNull(aws.region)` to scope to AWS-originated records.
### Relationship Types
AWS entities use these relationship types:
- `is_attached_to` - Exclusive attachment (e.g., volume to instance)
- `uses` - Dependency relationship (e.g., instance uses security group)
- `runs_on` - Vertical relationship (e.g., instance runs on AZ)
- `is_part_of` - Composition (e.g., instance in cluster)
- `belongs_to` - Aggregation (e.g., service belongs to cluster)
- `balances` - Load balancing (e.g., target group balances instances)
- `balanced_by` - Inverse load-balancing relationship (e.g., load balancer balanced by target group)
### AWS Metric Key Naming Convention
Dynatrace ingests AWS CloudWatch metrics using this pattern:
```
cloud.aws.<service>.<MetricName>.By.<DimensionName>
```
The `<service>` is the lowercase AWS service name, `<MetricName>` is the CloudWatch metric name (case-preserved), and `<DimensionName>` is the CloudWatch dimension.
Examples: `cloud.aws.ec2.CPUUtilization.By.InstanceId`, `cloud.aws.lambda.Invocations.By.FunctionName`, `cloud.aws.rds.CPUUtilization.By.DBInstanceIdentifier`
Use `timeseries`, not `fetch`, for these metrics. Group by `dt.smartscape_source.id` to split by entity.
→ See [references/metrics-performance.md](references/metrics-performance.md) for the complete metric catalog by service with DQL query templates.
---
## Key Workflows
### 1. AWS Resource Discovery
Get all AWS resources by type:
```dql
smartscapeNodes "AWS_*"
| summarize count = count(), by: {type}
| sort count desc
```
Filter by account and region:
```dql
smartscapeNodes "AWS_*"
| filter aws.account.id == "123456789012" and aws.region == "us-east-1"
| fields type, name, aws.resource.id
```
Using tags for filtering:
```dql
smartscapeNodes "AWS_*"
| filter tags[Environment] == "production"
| summarize count = count(), by: {type, aws.region}
```
→ For complete resource inventory patterns, see [references/resource-management.md](references/resource-management.md)
### 2. VPC Networking Analysis
List all VPCs:
```dql
smartscapeNodes "AWS_EC2_VPC"
| fields name, aws.account.id, aws.region, aws.vpc.id
```
Find resources in a VPC:
```dql
smartscapeNodes "AWS_*"
| filter aws.vpc.id == "vpc-0be61db7c5d2d1bd1"
| summarize resource_count = count(), by: {type, aws.subnet.id}
| sort resource_count desc
```
Analyze security group usage:
```dql
smartscapeNodes "AWS_EC2_INSTANCE"
| filter contains(aws.security_group.id, "sg-abc123")
| fields name, aws.resource.id, aws.vpc.id, aws.subnet.id
```
→ For VPC networking, see [references/vpc-networking-security.md](references/vpc-networking-security.md)
→ For security group patterns, see [references/security-compliance.md](references/security-compliance.md)
### 3. Database Monitoring
List all RDS instances:
```dql
smartscapeNodes "AWS_RDS_DBINSTANCE"
| fields name, aws.account.id, aws.region, aws.vpc.id, aws.availability_zone
```
Find Multi-AZ databases:
```dql
smartscapeNodes "AWS_RDS_DBINSTANCE"
| parse aws.object, "JSON:awsjson"
| fieldsAdd multiAZ = awsjson[configuration][multiAZ]
| filter multiAZ == true
| fields name, aws.resource.id, aws.region
```
Group by engine type:
```dql
smartscapeNodes "AWS_RDS_DBINSTANCE"
| parse aws.object, "JSON:awsjson"
| fieldsAdd engine = awsjson[configuration][engine]
| summarize db_count = count(), by: {engine, aws.region}
| sort db_count desc
```
→ For database monitoring, see [references/database-monitoring.md](references/database-monitoring.md)
### 4. Serverless and Container Workloads
List Lambda functions:
```dql
smartscapeNodes "AWS_LAMBDA_FUNCTION"
| fields name, aws.account.id, aws.region, aws.vpc.id
```
Find ECS services in a cluster:
```dql
smartscapeNodes "AWS_ECS_SERVICE"
| traverse "belongs_to", "AWS_ECS_CLUSTER"
| fields name, aws.resource.id, aws.region
```
List EKS clusters:
```dql
smartscapeNodes "AWS_EKS_CLUSTER"
| fields name, aws.account.id, aws.region, aws.vpc.id
```
→ For serverless, see [references/serverless-containers.md](references/serverless-containers.md)
→ For containers, see [references/serverless-containers.md](references/serverless-containers.md)
### 5. Load Balancer Topology
Complete load balancer to instance mapping:
```dql
smartscapeNodes "AWS_ELASTICLOADBALANCINGV2_LOADBALANCER"
| parse aws.object, "JSON:awsjson"
| fieldsAdd dnsName = awsjson[configuration][dnsName], scheme = awsjson[configuration][scheme]
| filter scheme == "internet-facing"
| traverse "balanced_by", "AWS_ELASTICLOADBALANCINGV2_TARGETGROUP", direction:backward, fieldsKeep:{dnsName, id}
| fieldsAdd targetGroupName = aws.resource.name
| traverse "balances", "AWS_EC2_INSTANCE", fieldsKeep: {targetGroupName, id}
| fieldsAdd loadBalancerDnsName = dt.traverse.history[-2][dnsName],
loadBalancerId = dt.traverse.history[-2][id],
targetGroupId = dt.traverse.history[-1][id]
```
→ For load balancing, see [references/load-balancing-api.md](references/load-balancing-api.md)
### 6. Cost Optimization
Find unattached EBS volumes:
```dql
smartscapeNodes "AWS_EC2_VOLUME"
| parse aws.object, "JSON:awsjson"
| fieldsAdd state = awsjson[configuration][state]
| filter state == "available"
| fields name, aws.resource.id, aws.availability_zone, aws.account.id
```
Analyze EBS costs by type:
```dql
smartscapeNodes "AWS_EC2_VOLUME"
| parse aws.object, "JSON:awsjson"
| fieldsAdd volumeType = awsjson[configuration][volumeType],
size = awsjson[configuration][size],
state = awsjson[configuration][state]
| summarize total_volumes = count(), total_size_gb = sum(size), by: {volumeType, state}
| sort total_size_gb desc
```
→ For cost optimization, see [references/cost-optimization.md](references/cost-optimization.md)
### 7. Security and Compliance
Find publicly accessible databases:
```dql
smartscapeNodes "AWS_RDS_DBINSTANCE"
| parse aws.object, "JSON:awsjson"
| fieldsAdd publiclyAccessible = awsjson[configuration][publiclyAccessible]
| filter publiclyAccessible == true
| fields name, aws.resource.id, aws.vpc.id, aws.account.id
```
Security group blast radius:
```dql
smartscapeNodes "AWS_EC2_INSTANCE"
| traverse "uses", "AWS_EC2_SECURITYGROUP"
| summarize instance_count = count(), by: {aws.resource.name, aws.vpc.id}
| sort instance_count desc
| limit 20
```
→ For security, see [references/security-compliance.md](references/security-compliance.md)
### 8. Resource Ownership and Tagging
Find untagged resources:
```dql
smartscapeNodes "AWS_*"
| filter isNull(tags)
| fields type, name, aws.resource.id, aws.account.id, aws.region
```
Cost allocation by cost center:
```dql
smartscapeNodes "AWS_*"
| filter isNotNull(tags[CostCenter])
| summarize resource_count = count(), by: {tags[CostCenter], type}
| sort resource_count desc
```
→ For resource ownership, see [references/resource-ownership.md](references/resource-ownership.md)
---
## Common Query Patterns
| Pattern | Template |
|---------|----------|
| **Discovery** | `smartscapeNodes "AWS_*" \| fieldsAdd <attrs> \| filter <cond> \| summarize <agg>` |
| **Config parsing** | `smartscapeNodes "AWS_<T>" \| parse aws.object, "JSON:awsjson" \| fieldsAdd f = awsjson[configuration][field]` |
| **Traversal** | `smartscapeNodes "AWS_<SRC>" \| traverse "<rel>", "AWS_<TGT>"` |
| **Multi-type** | `smartscapeNodes "AWS_T1", "AWS_T2" \| filter <cond> \| summarize count(), by: {type}` |
---
## Best Practices
### Query Optimization
1. Filter early by account and region
2. Use specific entity types (avoid `"AWS_*"` wildcards when possible)
3. Limit results with `| limit N` for exploration
4. Use `isNotNull()` checks before accessing nested fields
### Configuration Parsing
1. Always parse `aws.object` with JSON parser: `parse aws.object, "JSON:awsjson"`
2. Use consistent field naming: `fieldsAdd configField = awsjson[configuration][field]`
3. Check for null values after parsing
4. Use `toString()` for complex nested objects
### Security Fields
1. Security group IDs are arrays - use `contains()` or `expand`
2. Parse `aws.object` for detailed security context
3. Check `publiclyAccessible`, `storageEncrypted`, and similar flags
4. Validate IAM role assumptions
### Tagging Strategy
1. Use `tags[TagName]` for filtering by specific tag value
2. `tags` is a JSON object, not an array — use `isNull(tags)` for untagged resources, **never** `arraySize(tags)`
3. Use `isNull(tags[TagName])` to find resources missing a specific tag
4. Implement consistent tag naming conventions
5. Track tag coverage with summarize operations
---
## Limitations and Notes
### Smartscape Limitations
- AWS object configuration requires parsing with `parse aws.object, "JSON:awsjson"`
- AWS metrics are available as Dynatrace metrics using the `cloud.aws.*` naming convention (see [AWS Metric Naming Convention](#aws-metric-naming-convention))
- Resource discovery depends on AWS integration configuration
- Tag synchronization may have slight delays
### Relationship Traversal
- Use `direction:backward` for reverse relationships (e.g., target group → load balancer)
- Use `fieldsKeep` to maintain important fields through traversal
- Access traversal history with `dt.traverse.history[-N]`
- Complex topologies may require multiple traverse operations
### General Tips
- Use `getNodeName()` for human-readable resource names
- Handle null values gracefully with `isNotNull()` and `isNull()`
- Combine region and account filters for large environments
- Use `countDistinct()` for unique resource counts
---
## When to Load References
This skill uses **progressive disclosure**. Start here for 80% of use cases. Load reference files for detailed specifications when needed.
### Load vpc-networking-security.md when:
- Analyzing VPC topology and connectivity
- Investigating security group configurations
- Finding resources by security group
- Troubleshooting network interface issues
### Load database-monitoring.md when:
- Managing RDS instances and clusters
- Analyzing database engine distributions
- Checking Multi-AZ configurations
- Monitoring cache clusters
### Load serverless-containers.md when:
- Working with Lambda functions
- Analyzing ECS/EKS deployments
- Investigating container networking
- Planning serverless migrations
### Load load-balancing-api.md when:
- Mapping load balancer topologies
- Analyzing target group health
- Working with API Gateway
- Configuring CloudFront
### Load messaging-event-streaming.md when:
- Managing SQS queues and SNS topics
- Analyzing EventBridge event buses
- Working with Kinesis or MSK
- Monitoring Step Functions
### Load resource-management.md when:
- Conducting resource audits
- Analyzing tag compliance
- Finding unattached resources
- Planning regional distribution
### Load cost-optimization.md when:
- Identifying cost savings opportunities
- Analyzing storage costs
- Finding unused resources
- Optimizing instance types
### Load capacity-planning.md when:
- Planning capacity expansions
- Analyzing resource utilization
- Monitoring subnet IP usage
- Sizing auto-scaling groups
### Load security-compliance.md when:
- Conducting security audits
- Checking encryption status
- Analyzing IAM roles
- Finding public resources
### Load resource-ownership.md when:
- Implementing chargeback
- Tracking resource ownership
- Allocating costs by team
- Managing multi-account environments
### Load events.md when:
- Investigating what changed before or during a problem
- Checking for recent CloudFormation stack deployments
- Reviewing AWS Auto Scaling activity (scale-in/scale-out)
- Checking AWS Health service events affecting a resource
### Load workload-detection.md when:
- Determining how an EC2 instance is orchestrated (ECS, EKS, Batch, ASG, standalone)
- Following a resolution path that depends on the workload pattern
- Understanding the blast radius of an instance failure
---
## References
- [vpc-networking-security.md](references/vpc-networking-security.md) - VPC infrastructure, security groups, and network connectivity
- [database-monitoring.md](references/database-monitoring.md) - RDS, DynamoDB, ElastiCache, and Redshift monitoring
- [serverless-containers.md](references/serverless-containers.md) - Lambda, ECS, EKS, and App Runner workloads
- [load-balancing-api.md](references/load-balancing-api.md) - Load balancers, API Gateway, and CloudFront
- [messaging-event-streaming.md](references/messaging-event-streaming.md) - SQS, SNS, EventBridge, Kinesis, and MSK
- [resource-management.md](references/resource-management.md) - Resource inventory and lifecycle management
- [cost-optimization.md](references/cost-optimization.md) - Cost savings and spending optimization
- [capacity-planning.md](references/capacity-planning.md) - Capacity analysis and growth planning
- [security-compliance.md](references/security-compliance.md) - Security configurations and compliance monitoring
- [resource-ownership.md](references/resource-ownership.md) - Cost allocation and ownership tracking
- [events.md](references/events.md) - AWS AutoScaling, Health, and CloudFormation events for problem timeline analysis
- [workload-detection.md](references/workload-detection.md) - Identify how an EC2 instance is orchestrated (LB, ASG, ECS, EKS, Batch)
---
© Dynatrace · Apache-2.0 · Dynatrace/dynatrace-for-ai