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awslabs/agent-plugins/plugins/aws-serverless/skills/aws-lambda-managed-instances/SKILL.md

aws-lambda-managed-instances

Evaluate, configure, and migrate workloads to AWS Lambda Managed Instances (LMI). Triggers on: Lambda Managed Instances, LMI, capacity provider, multi-concurrency Lambda, dedicated instance Lambda, EC2-backed Lambda, cold start elimination, Graviton Lambda, instance type for Lambda, scheduled scaling for LMI, Lambda cost optimization with Reserved Instances or Savings Plans. Also trigger when users describe high-volume predictable workloads seeking cost savings, want to scale LMI capacity on a s

Source repository stars
868
Declared platforms
0
Static risk flags
0
Last source update
2026-08-25
Source checked
2026-08-25

Decision brief

What it does: where it fits

Run Lambda functions on current-generation EC2 instances in your account while AWS manages provisioning, patching, scaling, routing, and load balancing. Combines Lambda's developer experience with EC2's pricing and hardware options.

Best for

    Not for

    • See references/troubleshooting.md for detailed resolution steps.

    Compatibility matrix

    Platform support, with evidence labels

    PlatformStatusEvidenceWhat to check
    CodexNot declaredNo explicit evidencePortability before use
    Claude CodeNot declaredNo explicit evidencePortability before use
    CursorNot declaredNo explicit evidencePortability before use
    Gemini CLINot declaredNo explicit evidencePortability before use
    Open the compatibility checker

    Installation

    Inspect first. Install second.

    The source command is displayed only when detected. A safe inspection prompt is always available so your agent can explain every action before execution.

    Source-detected install commandSource
    npx skills add https://github.com/awslabs/agent-plugins --skill "plugins/aws-serverless/skills/aws-lambda-managed-instances"
    Safe inspection promptEditorial

    Inspect the Agent Skill "aws-lambda-managed-instances" from https://github.com/awslabs/agent-plugins/blob/a35c295c62452468446d3a3fa7e2590cd27474ab/plugins/aws-serverless/skills/aws-lambda-managed-instances/SKILL.md at commit a35c295c62452468446d3a3fa7e2590cd27474ab. List every install step, command, network request, credential, file read/write, external action, and rollback step. Explain whether it fits my task. Do not install or execute anything until I approve.

    Workflow

    What the source asks the agent to do

    1. 01

      Instructions

      Gather these signals before recommending:

      Traffic pattern: Steady vs bursty? Requests per second?Current costs: Monthly Lambda spend? Existing Savings Plans?Runtime: Node.js, Java, .NET, or Python?
    2. 02

      Step 1: Assess the Workload

      Gather these signals before recommending:

      Traffic pattern: Steady vs bursty? Requests per second?Current costs: Monthly Lambda spend? Existing Savings Plans?Runtime: Node.js, Java, .NET, or Python?
    3. 03

      Step 2: Build the Cost Comparison

      REQUIRED: Present a cost comparison before recommending LMI. Compare at minimum:

      REQUIRED: Present a cost comparison before recommending LMI. Compare at minimum:Rule of thumb: LMI becomes cost-competitive when your Lambda spend exceeds $1,000/month with steady traffic.For discount analysis (Savings Plans, Reserved Instances), refer users to the AWS Pricing Calculator and references/cost-comparison.md for formulas and worked examples. Discount recommendations require workload-specific…
    4. 04

      Step 3: Configure the Deployment

      Instance families (450 types): C-series (compute, .xlarge+), M-series (general, .large+), R-series (memory, .large+). ARM (Graviton) for best price-performance.

      Instance families (450 types): C-series (compute, .xlarge+), M-series (general, .large+), R-series (memory, .large+). ARM (Graviton) for best price-performance.Memory-to-vCPU ratios: 2:1 (default, CPU-bound work), 4:1 (general/mixed workloads), 8:1 (memory-heavy or Python apps). Min 2 GB, max 32 GB.Multi-concurrency defaults/vCPU: Node.js 64, Java 32, .NET 32, Python 16.
    5. 05

      Step 4: Migrate the Code

      Review code for concurrency safety. LMI runs multiple invocations concurrently per execution environment, but the model differs by runtime:

      Python: Process-based isolation — globals are NOT shared. No thread-safety changes needed. Focus on /tmp conflicts and memory sizing (per-process × concurrency).Node.js: Worker threads — globals shared within a worker. Requires async safety. Callback handlers not supported on Node.js 22.Java/.NET: OS threads/Tasks — handler shared across threads. Requires full thread safety.

    Permission review

    Static risk signals and limitations

    No configured static risk pattern was detected

    This is not proof of safety. Runtime behavior, indirect dependencies, and hidden external systems are outside the static scan.

    Evidence record

    Why each signal appears

    EvidenceSourceComputedTestedEditorial
    SignalValueEvidence typeMeaning
    Quality score98/100ComputedDocumentation, specificity, maintenance, and trust rules
    Repository stars868SourceRepository attention, not individual Skill quality
    Compatibility0 platformsSourceDeclared in the catalog source record
    Usage guideautomated source guideEditorialGenerated or reviewed according to the visible evidence level

    Pinned source

    Provenance and original SKILL.md

    Repository
    awslabs/agent-plugins
    Skill path
    plugins/aws-serverless/skills/aws-lambda-managed-instances/SKILL.md
    Commit
    a35c295c62452468446d3a3fa7e2590cd27474ab
    License
    Apache-2.0
    Collected
    2026-08-25
    Default branch
    main
    View the original SKILL.md

    AWS Lambda Managed Instances (LMI)

    Run Lambda functions on current-generation EC2 instances in your account while AWS manages provisioning, patching, scaling, routing, and load balancing. Combines Lambda's developer experience with EC2's pricing and hardware options.

    For standard Lambda development, see aws-lambda skill. For SAM/CDK deployment, see aws-serverless-deployment skill.

    When to Load Reference Files

    Quick Decision: Is LMI Right for This Workload?

    SignalLMI is a strong fitStandard Lambda is better
    TrafficSteady, predictable, 50M+ req/moBursty, unpredictable, long idle
    CostDuration-heavy spend at scaleLow or sporadic invocations
    Cold startsUnacceptable (LMI eliminates for provisioned capacity; scale-out may have brief delays)Tolerable or mitigated by SnapStart
    ComputeLatest CPUs, specific families, high network bandwidthStandard Lambda memory/CPU sufficient
    IsolationDedicated EC2 instances in your account, full VPC controlShared Firecracker micro-VMs acceptable
    Scale-to-zeroNot needed (execution environments always running)Required (pay nothing when idle)
    Code readinessThread-safe (Node.js/Java/.NET) or any Python codeNon-thread-safe Node.js/Java/.NET, expensive to change

    Instructions

    Step 1: Assess the Workload

    Gather these signals before recommending:

    1. Traffic pattern: Steady vs bursty? Requests per second?
    2. Current costs: Monthly Lambda spend? Existing Savings Plans?
    3. Runtime: Node.js, Java, .NET, or Python?
    4. Memory/CPU: How much memory? CPU-bound or I/O-bound?
    5. Execution duration: Average and P99?
    6. Concurrency readiness: Thread safety (Node.js/Java/.NET)? Shared /tmp paths? Per-invocation DB connections?
    7. VPC: Already in a VPC? Private resource access needed?

    Deriving LMI Configuration from Metrics

    If Lambda Insights is enabled on the function, use these metrics to calculate your starting configuration. If Lambda Insights is not enabled, suggest adding it to gather accurate workload data — but only proceed with the user's explicit confirmation, as adding the Insights layer may affect function performance or cold start times.

    To check if Lambda Insights is enabled, look for a LambdaInsightsExtension layer on the function. To add it, find the latest layer ARN for your region from the Lambda Insights documentation and attach the CloudWatchLambdaInsightsExecutionRolePolicy managed policy to the function's execution role.

    Target max concurrency (from cpu_total_time and Duration):

    PerExecutionEnvironmentMaxConcurrency = floor((0.5 × Duration) / cpu_total_time)
    

    This targets 50% CPU utilization at full concurrency, leaving headroom for scaling.

    Memory allocation (from memory_utilization and current memory):

    MemorySize = min(32768, max(2048, MaxConcurrency × (memory_utilization / 100) × current_allocated_memory))
    

    This overestimates (assumes no shared base memory) but provides a safe starting point. The outer min caps the result at the 32 GB (32768 MB) LMI maximum.

    Minimum execution environments (from baseline ConcurrentExecutions):

    MinExecutionEnvironments = max(3, ceil(baseline_concurrent_executions × 2 / MaxConcurrency))
    

    Targets 50% concurrency utilization to leave headroom for traffic bursts.

    Without Lambda Insights: Start with the runtime's default max concurrency, 2 GB memory, and MinExecutionEnvironments = 3. Adjust during testing.

    Step 2: Build the Cost Comparison

    REQUIRED: Present a cost comparison before recommending LMI. Compare at minimum:

    ScenarioWhen it wins
    Lambda on-demandLow volume, bursty traffic
    LMI on-demandHigh volume, steady traffic

    Rule of thumb: LMI becomes cost-competitive when your Lambda spend exceeds ~$1,000/month with steady traffic.

    For discount analysis (Savings Plans, Reserved Instances), refer users to the AWS Pricing Calculator and references/cost-comparison.md for formulas and worked examples. Discount recommendations require workload-specific forecasting beyond this skill's scope.

    Step 3: Configure the Deployment

    Instance families (~450 types): C-series (compute, .xlarge+), M-series (general, .large+), R-series (memory, .large+). ARM (Graviton) for best price-performance.

    Memory-to-vCPU ratios: 2:1 (default, CPU-bound work), 4:1 (general/mixed workloads), 8:1 (memory-heavy or Python apps). Min 2 GB, max 32 GB.

    Multi-concurrency defaults/vCPU: Node.js 64, Java 32, .NET 32, Python 16.

    Scaling: MinExecutionEnvironments (default 3), MaxVCpuCount (default 400), TargetResourceUtilization.

    Scheduled scaling: For predictable traffic (business hours, marketing events), use EventBridge Scheduler to adjust Min/Max execution environments on a one-time or recurring schedule — scale up before peak, scale down or to zero when idle.

    See references/configuration-guide.md for decision trees and detailed tuning.

    Step 4: Migrate the Code

    Review code for concurrency safety. LMI runs multiple invocations concurrently per execution environment, but the model differs by runtime:

    • Python: Process-based isolation — globals are NOT shared. No thread-safety changes needed. Focus on /tmp conflicts and memory sizing (per-process × concurrency).
    • Node.js: Worker threads — globals shared within a worker. Requires async safety. Callback handlers not supported on Node.js 22.
    • Java/.NET: OS threads/Tasks — handler shared across threads. Requires full thread safety.

    Common issues (all runtimes): shared /tmp paths, per-invocation DB connections. Thread-safety issues (Node.js/Java/.NET only): mutable globals, non-thread-safe libs.

    See references/thread-safety.md for the review checklist and references/migration-patterns.md for runtime-specific before/after code.

    Step 5: Set Up Infrastructure

    1. Create two IAM roles: execution role (for the function) and operator role (for capacity provider EC2 management)
    2. Configure VPC with subnets across multiple AZs (recommended 3+ for resiliency)
    3. Create capacity provider with VPC config and scaling limits
    4. Create or update function with capacity provider attachment
    5. Publish a version (triggers instance provisioning)

    See references/infrastructure-setup.md for CLI commands and SAM templates.

    Step 6: Validate and Cut Over

    1. Deploy to a non-production environment first
    2. Monitor CloudWatch: CPU utilization, memory, concurrency, throttle rate. If you observe low CPU utilization or ongoing throttles, see references/troubleshooting.md for metric-specific adjustment guidance.
    3. Shift traffic to the LMI function (note: weighted alias shifting between LMI and non-LMI functions is not currently supported)
    4. Compare costs after 1-2 weeks of production data
    5. Decommission standard Lambda once stable

    Best Practices

    Configuration

    • Do: Start with 2:1 ratio and runtime default concurrency
    • Do: Use ARM (Graviton) unless x86 dependencies exist
    • Do: Let Lambda choose instance types unless specific hardware needed
    • Do: Set MaxVCpuCount to control cost ceiling
    • Don't: Set MinExecutionEnvironments below 3 in production (reduces multi-AZ coverage). Non-prod environments can use 1 as the minimum.
    • Don't: Over-restrict instance types (lowers availability)

    Migration

    • Do: Start with I/O-heavy functions (benefit most from multi-concurrency; CPU-bound functions compete for same CPU)
    • Do: Review code for concurrency safety before attaching to capacity provider (thread safety for Node.js/Java/.NET; /tmp and memory for Python)
    • Do: Plan traffic shifting strategy based on your invocation source (weighted alias shifting between LMI and non-LMI functions is not currently supported)
    • Do: Include request IDs in all log statements
    • Do: Initialize DB pools and SDK clients outside the handler
    • Do: Estimate total /tmp usage under max concurrency
    • Don't: Write to hardcoded /tmp paths without request-unique naming
    • Don't: Skip cost comparison — LMI is not always cheaper

    Operations

    • Do: Set CloudWatch alarms on throttle rate > 1% and CPU > 80%
    • Do: Use scheduled scaling (EventBridge Scheduler) for predictable traffic — raise Min/Max before peak periods and lower them (or scale to zero) when idle
    • Don't: Manually terminate LMI EC2 instances (delete the capacity provider instead)
    • Don't: Forget to publish a version — unpublished functions cannot run on LMI
    • Don't: Rely on a deactivated (Min=Max=0) function to self-recover — schedule an explicit scale-up to reactivate it

    Limits Quick Reference

    ResourceLimit
    Memory2 GB min, 32 GB max
    Concurrency/vCPU64 (Node.js), 32 (Java/.NET), 16 (Python)
    Instance lifespan~12 hours (auto-replaced by Lambda)
    EE lifespan~4 hours (auto-replaced by Lambda)
    RuntimesNode.js, Java, .NET, Python
    Instance familiesC (.xlarge+), M (.large+), R (.large+)
    ScalingDoubles within 5 min without throttles

    Troubleshooting Quick Reference

    IssueCauseFix
    429 throttlesTraffic exceeds scaling speedIncrease MinExecutionEnvironments or lower TargetResourceUtilization
    Function stuck PENDINGProvisioning instancesWait; check VPC/IAM config
    Architecture mismatchFunction ≠ capacity provider archAlign both to same architecture
    Cannot terminate instancesManaged by capacity providerDelete capacity provider instead
    Race conditionsCode not thread-safeSee references/thread-safety.md

    See references/troubleshooting.md for detailed resolution steps.

    Configuration

    AWS CLI Setup

    REQUIRED: AWS credentials configured on the host machine.

    Verify access: Run aws sts get-caller-identity

    Regional Availability

    Available in all commercial AWS Regions except Israel (Tel Aviv), Middle East (Bahrain), Middle East (UAE), and Asia Pacific (Auckland).

    Check the Lambda Managed Instances documentation for the latest regional availability.

    Language Selection

    Default: TypeScript

    Override: "use Python" → Python, "use JavaScript" → JavaScript. When not specified, ALWAYS use TypeScript.

    IaC Framework Selection

    Default: CDK

    Override: "use SAM" → SAM YAML, "use CloudFormation" → CloudFormation YAML. When not specified, ALWAYS use CDK.

    Error Scenarios

    Serverless MCP Server Unavailable

    • Inform user: "AWS Serverless MCP not responding"
    • Ask: "Proceed without MCP support?"
    • DO NOT continue without user confirmation

    Unsupported Runtime

    • State: "Lambda Managed Instances does not yet support [runtime]"
    • List supported runtimes
    • Suggest standard Lambda as alternative

    Unsupported Region

    • State: "Lambda Managed Instances is not available in [region]"
    • Name the excluded regions: Israel (Tel Aviv), Middle East (Bahrain), Middle East (UAE), Asia Pacific (Auckland)
    • Suggest the nearest supported region

    Resources

    Frequently asked questions

    What to verify before installation and use

    What does the aws-lambda-managed-instances source document cover?

    Run Lambda functions on current-generation EC2 instances in your account while AWS manages provisioning, patching, scaling, routing, and load balancing. Combines Lambda's developer experience with EC2's pricing and hardware options.

    How do I install aws-lambda-managed-instances?

    The source record exposes this install command: npx skills add https://github.com/awslabs/agent-plugins --skill "plugins/aws-serverless/skills/aws-lambda-managed-instances". Inspect the command and pinned source before running it.

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