Creates exemplary/representative pod fuzzer tool

[seans3]

Examples:

From the fuzzer directory run:

1. High-concurrency 50k pod injection:

   go run cmd/main.go
     --base-pod templates/complex-daemonset.yaml \
     --namespace fuzz-test \
     --name-prefix representative-pod \
     --count 50000 \
     --concurrency 100

2. Single fuzzed output pod for inspection:

   go run cmd/main.go
     --base-pod templates/complex-daemonset.yaml \
     --count 1 \
     --out-dir ./output-pod

Measuring the memory and performance impact of high-density metadata in the Kubernetes control plane requires objects that mirror production complexity. This PR introduces the Exemplary Pod Fuzzer, a specialized utility that replaces generic synthetic objects with high-fidelity "Sanitize & Clone" instances derived from real-world infrastructure manifests.

By ingesting real pod shapes and scrubbing all PII while preserving structural DNA—such as deep ManagedFields and dense container specs—the tool enables reproducible 50,000+ pod benchmarks. This framework is specifically tuned to validate kube-apiserver optimizations like string interning and field stripping under extreme object pressure.

Key Capabilities

• Structural Fidelity: Preserves the exact volume mount depth, environment variable counts, and field ownership history of the base pod.
• PII Sanitization: Automatically scrubs Names, UIDs, and OwnerReferences while ensuring RFC 1123 compliance and "fuzzed" tagging.
• SSA Trie Fuzzing: Randomizes managedFields using both standard field paths (f:) and associative list entries (k:) to saturate API server logic.
• Interning Stability: Uses a precomputed prototype cache to ensure generative strings are identical across pod batches, providing a "ground truth" for deduplication testing.
• Safety & Isolation: Forces pods into a Pending state using invalid nodeSelectors and schedulerNames to isolate resource pressure to the control plane.

/kind feature

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[seans3]

/cc @jpbetz
/cc @aaron-prindle

[seans3]

/cc @serathius