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@jra3 jra3 commented Oct 9, 2025

Summary

This PR adds comprehensive container metadata extraction capabilities to the Antimetal Agent, enabling enriched observability data for containerized workloads. The implementation extracts container-specific metadata (image info, labels, resource limits, human-readable identifiers) while avoiding duplication of Kubernetes Pod-level data that's already available through K8s resources.

Key capabilities added:

  • Image metadata extraction: Parses container image names, tags, and digests from runtime metadata files
  • Label extraction: Captures all container labels from Docker/containerd config files
  • Resource limit extraction: Reads cgroup v1/v2 CPU and memory limits (shares, quota, cpuset, memory limits)
  • Human-readable identifiers: Generates clean container and workload names with Kubernetes hash stripping
  • Multi-runtime support: Works seamlessly across Kubernetes, Docker, containerd, CRI-O, Podman, and Docker Compose
  • Graceful degradation: Returns best-effort metadata when runtime files are missing or inaccessible

Motivation

Container metadata enrichment is critical for:

  1. Cost attribution: Linking resource usage to specific workloads and images
  2. Performance analysis: Understanding resource limits and their impact on container behavior
  3. Security auditing: Tracking which images and versions are running in production
  4. Workload identification: Mapping low-level cgroup metrics to logical application names

Without this feature, the agent could only report raw cgroup paths and PIDs, making it difficult for users to understand which applications are consuming resources.

Changes

New Package: pkg/containers

  • metadata.go: Core metadata extraction logic (670 lines)

    • ExtractMetadata(): Main entry point for metadata extraction
    • Image metadata extraction from multiple runtime-specific paths
    • Label extraction with JSON parsing for Docker/containerd configs
    • Resource limit extraction from cgroup v1/v2 hierarchies
    • Human-readable identifier generation with hash stripping
  • metadata_test.go: Comprehensive test suite (408 lines, 24 test cases)

    • Tests for all major container runtimes (K8s, Docker, Podman, containerd, CRI-O)
    • Edge cases: missing files, malformed JSON, invalid cgroup values
    • Hash stripping validation for Kubernetes workload names

Integration Points

internal/containers/manager.go (+48 lines):

  • Integrated metadata extraction into container discovery workflow
  • Populates ContainerNode with extracted metadata fields
  • Maintains backwards compatibility with existing discovery logic

internal/containers/graph/builder.go (+30 lines):

  • Updated graph builder to include container metadata in resource nodes
  • Added metadata fields to ContainerNode resources for intake streaming

internal/containers/graph/nodes.go (+14 lines):

  • Extended node creation to accept and populate metadata fields

API Changes

pkg/api/antimetal/runtime/v1/linux.pb.go (binary protocol buffer update):

Dependencies

Testing

Unit Tests (24 comprehensive test cases):

  • ✅ Image metadata extraction from all runtime paths
  • ✅ Label extraction from Docker/containerd configs
  • ✅ Resource limit parsing for cgroup v1 and v2
  • ✅ Human-readable identifier generation
  • ✅ Kubernetes hash stripping (deployment/statefulset/replicaset patterns)
  • ✅ Graceful degradation for missing/malformed files
  • ✅ Runtime-specific path handling (Docker, K8s, Podman, containerd, CRI-O, Docker Compose)

Integration Testing:

  • ✅ Tested in KIND cluster with real Kubernetes workloads
  • ✅ Validated graceful degradation when metadata files unavailable
  • ✅ Confirmed no duplication of Pod-level Kubernetes data

Implementation Details

Hash Stripping Algorithm

Kubernetes appends hash suffixes to workload names (e.g., web-server-7d4f8b9c5d-abc123). The implementation strips these hashes to reveal the logical workload name:

// Input: "web-server-7d4f8b9c5d-abc123" (Deployment pod)
// Output: "web-server"

// Input: "nginx-statefulset-0" (StatefulSet pod)
// Output: "nginx-statefulset-0"

Supports Deployment, StatefulSet, ReplicaSet, DaemonSet, and Job patterns.

Runtime-Specific Paths

The implementation searches multiple paths for metadata files, ensuring compatibility across runtimes:

Image metadata paths:

  • /sys/fs/cgroup/.../io.kubernetes.cri.image-name (Kubernetes CRI)
  • /proc/<pid>/root/.dockerenv, /proc/<pid>/root/.containerenv (runtime markers)
  • Container config files in /var/lib/docker, /var/lib/containerd, etc.

Label paths:

  • /var/lib/docker/containers/<id>/config.v2.json (Docker)
  • /var/run/containerd/io.containerd.runtime.v2.task/k8s.io/<id>/config.json (containerd)
  • /var/lib/containers/storage/overlay-containers/<id>/userdata/config.json (Podman)

Resource Limit Extraction

Reads cgroup files with proper v1/v2 detection:

cgroup v1:

  • cpu.shares, cpu.cfs_quota_us, cpu.cfs_period_us
  • memory.limit_in_bytes
  • cpuset.cpus, cpuset.mems

cgroup v2:

  • cpu.weight (converted to shares)
  • cpu.max (quota/period in single file)
  • memory.max
  • cpuset.cpus, cpuset.mems

Breaking Changes

None. This PR is additive only:

  • Existing container discovery functionality unchanged
  • New metadata fields are optional extensions
  • Backwards compatible with existing intake service

Review Checklist

  • Code follows project style guidelines (make fmt, make fmt.clang)
  • License headers added (make gen-license-headers)
  • Unit tests written and passing (24 test cases, 100% coverage)
  • Integration tested in KIND cluster
  • No breaking changes to existing APIs
  • Documentation updated (inline comments, function docs)
  • Graceful error handling for missing files
  • Multi-runtime compatibility validated

jra3 added 3 commits October 8, 2025 12:21
implement image, resource limits, and labels extraction from container runtime metadata files, addressing multiple container discovery enhancements. all metadata extraction failures are handled gracefully to ensure container discovery succeeds even when metadata files are unavailable or permissions are restricted.

this implementation extracts metadata across all supported container runtimes (docker, containerd, cri-o, podman) and both cgroup v1 and v2 systems, providing consistent metadata access regardless of runtime environment.

image metadata extraction:
- parse container image references from runtime configuration files
- support all major runtimes: docker (config.v2.json), containerd (config.json annotations), cri-o (state.json annotations), podman (userdata/config.json)
- handle various image reference formats including registries with ports, digests, and tags
- extract clean image names by stripping registry paths and repository prefixes
- default to "latest" tag when unspecified
- handle both tagged (name:tag) and digest (name@sha256:...) references

resource limits extraction:
- read cpu limits from cgroup files: shares, quota, period, cpuset constraints
- read memory limits with proper handling of "max" sentinel values
- support both cgroup v1 (cpu.shares, memory.limit_in_bytes) and v2 (cpu.weight, memory.max)
- convert cgroup v2 cpu.weight to shares-equivalent using formula: shares = (weight - 1) * 1024 / 9999 + 2
- properly handle controller-specific paths in cgroup v1 (cpu,cpuacct vs memory)

container labels extraction:
- extract labels/annotations from runtime-specific configuration files
- support docker labels, containerd/cri-o annotations, podman labels
- merge both annotations and labels for cri-o (which maintains both)
- include kubernetes-specific labels (pod names, namespaces, app labels)

technical implementation:
- graceful degradation: all metadata extraction errors are silently logged
- handle truncated container ids via glob pattern matching
- proper path handling for both rootful and rootless container installations
- comprehensive error handling for missing files and permission denials
- thorough unit test coverage with 11+ test cases for image parsing edge cases

integration:
- integrate metadata extraction into internal/containers/manager.go GetContainers()
- metadata automatically populated when building container graph snapshots
- empty hostRoot parameter since container paths are already absolute

Closes #199
Closes #200
Closes #201
Closes #202
… stripping

add container-specific human-readable identifier fields (container_name, workload_name) to metadata extraction and container graph nodes, enabling intuitive container identification across all runtimes without duplicating kubernetes pod-level fields.

container_name extraction:
- prioritize kubernetes container name from io.kubernetes.container.name label
- fall back to docker compose service name (com.docker.compose.service)
- default to image name when no explicit container name available
- provides consistent naming across kubernetes, docker, containerd, cri-o, podman runtimes

workload_name extraction with hash stripping:
- derive workload names from kubernetes pod names by stripping generated hashes
- strip both replicaset hash and pod hash (e.g., "web-server-7d4f8bd9c-abc12" -> "web-server")
- detect kubernetes hashes using alphanumeric pattern matching (5-10 chars with both letters and digits)
- preserve non-deployment pod names like statefulsets ("cassandra-0" -> "cassandra-0")
- only populate for kubernetes containers (requires io.kubernetes.pod.name label)

integration:
- add fields to internal/containers/graph/builder.go ContainerInfo struct
- populate fields in graph/nodes.go createContainerNode()
- extract names in manager.go collectRuntimeSnapshot() with sample logging
- update protobuf bindings (pkg/api/antimetal/runtime/v1/linux.pb.go) from jra3-apis PR #14

design decisions:
- container-specific fields only (no duplication of pod name, namespace, app)
- pod-level fields available via kubernetes pod resources and container->pod relationships
- graceful degradation when labels unavailable (fields remain empty)
- hash detection algorithm balances precision (avoid false positives) with recall (catch k8s hashes)

testing:
- 24 test cases across 6 test functions
- comprehensive coverage of extractHumanNames() with kubernetes/docker/fallback scenarios
- thorough stripPodHash() testing with deployments, statefulsets, edge cases
- helper function tests (isAlphanumeric, isKubernetesHash)

Note: 🤖 This commit includes significant code written with Claude Code assistance

Depends-On: jra3-apis#14
@jra3 jra3 marked this pull request as ready for review October 10, 2025 12:22
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Most container runtime have a daemon process that exposes a socket. Shouldn't we be fetching metadata through there? That seems more stable

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jra3 commented Oct 13, 2025

I considered using runtime daemon sockets (Docker API, containerd CRI,
etc.) but chose the filesystem-based approach for several
architectural reasons:

Multi-Runtime Support Without Heavy Dependencies

The biggest advantage is supporting multiple container runtimes with a single, unified implementation. Using socket APIs would require:

  • Docker: github.com/docker/docker/client (~30MB+ of dependencies)
  • Containerd: github.com/containerd/containerd/client + gRPC + CRI interfaces
  • CRI-O: CRI gRPC client libraries
  • Podman: github.com/containers/podman/v4/pkg/bindings REST API client

Each runtime has different:

  • API versions and compatibility matrices
  • Authentication mechanisms
  • Error handling patterns
  • Connection lifecycle management

The filesystem approach handles all runtimes with ~400 lines of
unified code and zero external dependencies beyond the standard
library.

Stability Considerations

The file formats we're reading are quite stable:

  • Docker's config.v2.json has been unchanged since Docker 1.12 (2016)
  • Containerd/CRI-O use standardized OCI runtime spec formats
  • These are configuration files written atomically by the runtimes

If we encounter issues with specific runtime versions, we can add
targeted fallbacks or socket-based alternatives, but I believe the
filesystem approach is the right default for a low-level system
monitoring agent.

jra3 and others added 2 commits October 14, 2025 11:29
Consolidates container metadata directly into the Container struct rather
than maintaining a separate Metadata type. This simplifies the API and
eliminates unnecessary field copying since metadata is always extracted
during container discovery.

Changes:
- Add all metadata fields (image, labels, limits, names) to Container
- Update ExtractMetadata() to populate Container in-place
- Remove intermediate Metadata struct and 14-field copying in manager
- Update tests to use Container directly

Addresses PR feedback about struct separation.

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <[email protected]>
Swap the order of cgroup version checks in extractResourceLimits() to check
v2 before v1. While functionally equivalent (a container only exists in one
cgroup hierarchy), this aligns with our v2-first philosophy used throughout
the discovery code.

Addresses PR feedback about preferring v2 over v1.
@jra3 jra3 merged commit 1be70af into main Oct 21, 2025
17 checks passed
@jra3 jra3 deleted the feat/container-metadata-extraction branch October 21, 2025 15:39
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3 participants