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EKS Performance Benchmark Reports

5 min read
AI documentation guide

Performance reports and measurement plans for EKS. Check each report's evidence boundary and distinguish live measurements, published-source analysis, and local tool validation before using its conclusions.

Networking​

Table 1. Networking benchmark reports and validation status

#ReportStatus
1VPC CNI vs Cilium Network Performance ComparisonSummaries reviewed; raw logs and reproduction pending
2Gateway API Architecture, Feature Comparison, and Test ReportSource/kit validation complete; EKS measurements pending

AI/ML Inference​

Table 2. AI/ML inference benchmark reports and validation status

#ReportStatus
3Llama 4 Serving Comparison: Specifications and Validation PlanSpecifications reviewed; performance/cost measurements pending
4Inference Platform: AgentCore vs EKS Self-BuiltPlanned
5NVIDIA Dynamo Inference BenchmarkNew

Infrastructure & Operations​

Table 3. Infrastructure and operations benchmark reports and validation status

#ReportStatus
6Infrastructure PerformanceUpcoming
7Hybrid InfrastructureUpcoming
8Security & OperationsUpcoming

AI Agents​

The published measurements ran on Amazon Bedrock. EKS follow-up stages remain planned.

Table 4. AI agent benchmark reports and validation status

#ReportStatus
9Foundation Model Token Cost Comparison: 14 Amazon Bedrock Models Measured with a Coding-Agent Ralph LoopMeasured; raw data not included

Ralph loop series: the existing Bedrock report is Part 1; Part 2's EKS baseline and Part 3's controlled optimizations have no measured results yet.

Benchmark Methodology​

Assess results against the following criteria. Listing a report does not establish that it has met every criterion.

  1. Reproducibility: Test environment, tools, and configuration are specified
  2. Uncertainty: Report sample counts and distributions for each repetition, with evidence supporting any error bounds
  3. Fair Comparison: Measurements taken under identical conditions across comparison targets
  4. Real Workloads: Tests that closely resemble actual patterns are prioritized over synthetic benchmarks

Report Structure​

A report should provide the following information. Mark unexecuted tests and missing verification evidence explicitly.

  • Test Environment: Cluster specs, node types, network configuration
  • Test Tools: Benchmark tools and versions used
  • Test Scenarios: Specific test case descriptions
  • Results: Data, charts, analysis
  • Recommendations: Optimization suggestions based on results