[{"data":1,"prerenderedAt":1117},["ShallowReactive",2],{"practiceExams":3,"service-\u002Ftools\u002Fcloud-services-hub\u002Famazon-bedrock":153,"services":382,"buildDate":1116},[4,17,28,39,49,59,70,80,90,101,111,122,134,145],{"id":5,"slug":6,"description":7,"questionCount":8,"isActive":9,"datePublicModified":10,"difficulty":11,"examVersion":16},1,"aws-certified-solutions-architect-associate-saa-c03","Unlock your potential with the AWS Certified Solutions Architect - Associate Practice Exam Simulator. This comprehensive tool is designed to prepare you thoroughly and assess your readiness for the most sought-after AWS associate certification.",1203,true,"2026-10-30T00:00:00.000Z",{"title":12,"subtitle":13,"slug":14,"coverImageUrl":15},"AWS Certified Solutions Architect - Associate","SAA-C03","aws-certified-solutions-architect-associate","\u002Fimages\u002Fdifficulties\u002Faws-certified-solutions-architect-associatesaa-c03\u002Fcovers\u002Faws-SAA-C03.png",{"slug":6,"pageSlug":14},{"id":18,"slug":19,"description":20,"questionCount":21,"isActive":9,"datePublicModified":10,"difficulty":22,"examVersion":27},5,"aws-certified-cloud-practitioner-clf-c02","Master your AWS Certified Cloud Practitioner exam with our Practice Exam Simulator. Prepare effectively and assess your readiness with realistic practice exams designed to mirror the most popular official AWS exam.",937,{"title":23,"subtitle":24,"slug":25,"coverImageUrl":26},"AWS Certified Cloud Practitioner","CLF-C02","aws-certified-cloud-practitioner","\u002Fimages\u002Fdifficulties\u002Faws-certified-cloud-practitionerclf-c02\u002Fcovers\u002Faws-CLF-C02.png",{"slug":19,"pageSlug":25},{"id":29,"slug":30,"description":31,"questionCount":32,"isActive":9,"datePublicModified":10,"difficulty":33,"examVersion":38},8,"aws-certified-devops-engineer-professional-dop-c02","Boost your readiness for the AWS Certified DevOps Engineer - Professional (DOP-C02) exam with our practice exam simulator. Featuring realistic questions and detailed explanations, it helps you identify knowledge gaps and improve your skills.",1040,{"title":34,"subtitle":35,"slug":36,"coverImageUrl":37},"AWS Certified DevOps Engineer - Professional","DOP-C02","aws-certified-devops-engineer-professional","",{"slug":30,"pageSlug":36},{"id":40,"slug":41,"description":42,"questionCount":43,"isActive":9,"datePublicModified":10,"difficulty":44,"examVersion":48},9,"aws-certified-data-engineer-associate-dea-c01","Prepare for your AWS Certified Data Engineer - Associate exam with our practice exam simulator. Featuring real exam scenarios, detailed explanations, and instant feedback to boost your confidence and success rate.",891,{"title":45,"subtitle":46,"slug":47,"coverImageUrl":37},"AWS Certified Data Engineer - Associate","DEA-C01","aws-certified-data-engineer-associate",{"slug":41,"pageSlug":47},{"id":50,"slug":51,"description":52,"questionCount":53,"isActive":9,"datePublicModified":10,"difficulty":54,"examVersion":58},11,"aws-certified-ai-practitioner-aif-c01","Prepare for the AWS Certified AI Practitioner exam with our practice exam simulator. Realistic questions on AI, machine learning and generative AI fundamentals, with detailed explanations, help you find your knowledge gaps and assess your readiness.",928,{"title":55,"subtitle":56,"slug":57,"coverImageUrl":37},"AWS Certified AI Practitioner","AIF-C01","aws-certified-ai-practitioner",{"slug":51,"pageSlug":57},{"id":60,"slug":61,"description":62,"questionCount":63,"isActive":9,"datePublicModified":64,"difficulty":65,"examVersion":69},17,"aws-certified-generative-ai-developer-professional-aip-c01","Get ready for the AWS Certified Generative AI Developer - Professional exam with our practice exam simulator. Realistic scenario-based questions with detailed explanations help you assess your readiness to build generative AI solutions on AWS.",982,"2026-10-29T00:00:00.000Z",{"title":66,"subtitle":67,"slug":68,"coverImageUrl":37},"AWS Certified Generative AI Developer - Professional","AIP-C01","aws-certified-generative-ai-developer-professional",{"slug":61,"pageSlug":68},{"id":71,"slug":72,"description":73,"questionCount":74,"isActive":9,"datePublicModified":64,"difficulty":75,"examVersion":79},19,"aws-certified-machine-learning-engineer-associate-mla-c02","Prepare for the AWS Certified Machine Learning Engineer - Associate exam with our practice exam simulator. Realistic questions with detailed explanations help you find your knowledge gaps and assess your readiness to build and run ML workloads on AWS.",861,{"title":76,"subtitle":77,"slug":78,"coverImageUrl":37},"AWS Certified Machine Learning Engineer - Associate","MLA-C02","aws-certified-machine-learning-engineer-associate",{"slug":72,"pageSlug":78},{"id":81,"slug":82,"description":83,"questionCount":84,"isActive":9,"datePublicModified":64,"difficulty":85,"examVersion":89},21,"aws-certified-cloudops-engineer-associate-soa-c03","Prepare for the AWS Certified CloudOps Engineer - Associate exam with our practice exam simulator. Realistic questions with detailed explanations help you assess your readiness to deploy, operate and troubleshoot workloads on AWS.",862,{"title":86,"subtitle":87,"slug":88,"coverImageUrl":37},"AWS Certified CloudOps Engineer - Associate","SOA-C03","aws-certified-cloudops-engineer-associate",{"slug":82,"pageSlug":88},{"id":91,"slug":92,"description":93,"questionCount":94,"isActive":9,"datePublicModified":64,"difficulty":95,"examVersion":100},13,"aws-certified-security-specialty-scs-c03","Advance your career in cloud security with the AWS Certified Security - Specialty (SCS-C03) Exam Simulator. Realistic, scenario-based practice exams mirror the official exam, with detailed explanations to close your knowledge gaps.",864,{"title":96,"subtitle":97,"slug":98,"coverImageUrl":99},"AWS Certified Security - Specialty","SCS-C03","aws-certified-security-specialty","\u002Fimages\u002Fdifficulties\u002Faws-certified-security-specialtyscs-c02\u002Fcovers\u002Faws_SCS_c02.png",{"slug":92,"pageSlug":98},{"id":102,"slug":103,"description":104,"questionCount":105,"isActive":9,"datePublicModified":64,"difficulty":106,"examVersion":110},15,"aws-certified-ai-business-strategist-aib-c01","Prepare for the AWS Certified AI Business Strategist exam with our practice exam simulator. Realistic, scenario-based questions with detailed explanations help you assess your readiness to lead AI adoption on AWS and close your knowledge gaps.",848,{"title":107,"subtitle":108,"slug":109,"coverImageUrl":37},"AWS Certified AI Business Strategist","AIB-C01","aws-certified-ai-business-strategist",{"slug":103,"pageSlug":109},{"id":112,"slug":113,"description":114,"questionCount":115,"isActive":9,"datePublicModified":116,"difficulty":117,"examVersion":121},10,"aws-certified-advanced-networking-specialty-ans-c01","The AWS Certified Advanced Networking - Specialty practice exam simulates the real test, offering scenario-based questions that assess your ability to design, implement, and troubleshoot complex AWS networking solutions. ",681,"2024-11-13T00:00:00.000Z",{"title":118,"subtitle":119,"slug":120,"coverImageUrl":37},"AWS Certified Advanced Networking - Specialty","ANS-C01","aws-certified-advanced-networking-specialty",{"slug":113,"pageSlug":120},{"id":123,"slug":124,"description":125,"questionCount":126,"isActive":9,"datePublicModified":127,"difficulty":128,"examVersion":133},4,"aws-certified-developer-associate-dva-c02","Unlock your potential as a software developer with the AWS Certified Developer - Associate Exam Simulator! Prepare thoroughly with realistic practice exams designed to mirror the official exam.",399,"2024-06-06T00:00:00.000Z",{"title":129,"subtitle":130,"slug":131,"coverImageUrl":132},"AWS Certified Developer - Associate","DVA-C02","aws-certified-developer-associate","\u002Fimages\u002Fdifficulties\u002Faws-certified-developer-associatedva-c02\u002Fcovers\u002Faws-DVA-C02.png",{"slug":124,"pageSlug":131},{"id":135,"slug":136,"description":137,"questionCount":138,"isActive":9,"datePublicModified":127,"difficulty":139,"examVersion":144},6,"aws-certified-solutions-architect-professional-sap-c02","Elevate your career with the AWS Certified Solutions Architect - Professional Exam Simulator. Get ready to ace the most popular Professional AWS exam with our realistic practice exams. Assess your readiness, boost your confidence, and ensure your success.",789,{"title":140,"subtitle":141,"slug":142,"coverImageUrl":143},"AWS Certified Solutions Architect - Professional","SAP-C02","aws-certified-solutions-architect-professional","\u002Fimages\u002Fdifficulties\u002Faws-certified-solutions-architect-professionalsap-c02\u002Fcovers\u002Faws-SAP-C02.png",{"slug":136,"pageSlug":142},{"id":146,"slug":147,"description":148,"questionCount":149,"isActive":9,"datePublicModified":127,"difficulty":150,"examVersion":151},7,"aws-certified-security-specialty-scs-c02","Advance your career in cloud cybersecurity with the AWS Certified Security - Specialty Exam Simulator! Tailored for professionals, this tool offers realistic practice exams to mirror the official exam.",5431,{"title":96,"subtitle":97,"slug":98,"coverImageUrl":99},{"slug":147,"pageSlug":152},null,{"id":154,"title":155,"subtitle":156,"description":157,"content":158,"featuresContent":152,"useCasesContent":152,"integrationsContent":159,"pricingModelsContent":152,"slug":160,"coverImageUrl":152,"isActive":9,"lifecycleStatus":161,"lifecycleDate":152,"lifecycleEndDate":152,"lifecycleUrl":152,"dateCreated":162,"dateModified":163,"datePublicModified":164,"provider":165,"features":168,"useCases":205,"integrations":226,"pricingModels":259,"tools":279},301,"Amazon Bedrock","Amazon Bedrock is a managed AWS service for building generative AI applications with foundation models through APIs.","Amazon Bedrock provides access to foundation models from Amazon and other model providers, along with capabilities for retrieval, customization, tool use, and safety controls. Engineers use it to build applications that generate or analyze content without operating the underlying model-serving infrastructure.","\u003Cp>Amazon Bedrock provides managed access to foundation models for tasks such as text generation, summarization, embeddings, and image generation. Available capabilities depend on the selected model and AWS Region. Applications call Bedrock runtime APIs using AWS SDKs or HTTPS requests, while AWS operates the underlying inference infrastructure. Model selection remains an application design decision because models differ in supported inputs, context windows, response formats, latency, and pricing.\u003C\u002Fp>\u003Cp>For conversational applications, the Converse API provides a consistent request structure across supported models, including messages, inference settings, and tool definitions. Model-specific capabilities may require additional parameters or native invocation APIs. Engineers should verify model support before assuming that streaming, tool use, structured responses, or multimodal inputs work identically across providers. Production clients should implement timeouts, bounded retries, throttling handling, and limits on input and output size.\u003C\u002Fp>\u003Cp>Knowledge Bases for Amazon Bedrock supports retrieval-augmented generation by connecting enterprise data to model requests. A common workflow ingests documents from Amazon S3, divides them into chunks, generates embeddings, and stores searchable representations in a supported vector store. At query time, the application retrieves relevant material and supplies it as grounding context. Retrieval quality depends on document preparation, chunking, metadata filters, embedding selection, and access controls; connecting a knowledge base does not guarantee accurate answers.\u003C\u002Fp>\u003Cp>Agents for Amazon Bedrock can coordinate model reasoning, knowledge retrieval, and actions against application systems. Action groups describe operations that an agent can invoke, commonly through AWS Lambda or application-controlled execution. Treat generated tool arguments as untrusted input, validate permissions independently, and require confirmation for consequential operations such as issuing refunds or modifying customer records.\u003C\u002Fp>\u003Cp>Guardrails for Amazon Bedrock provides configurable controls for supported content categories, denied topics, sensitive information, and other checks. These controls complement application validation rather than replacing authorization or business rules. Evaluate guardrails against realistic traffic because filtering behavior and supported checks vary by configuration and workflow.\u003C\u002Fp>\u003Cp>Secure deployments use IAM permissions, encryption controls, and, where appropriate, private connectivity through supported VPC endpoints. Separate permissions for model invocation, knowledge ingestion, and agent actions. Model availability, quotas, inference profiles, and cross-Region routing require explicit review, particularly when workloads have residency requirements. Monitor application latency, token consumption, throttling, and retrieval effectiveness, and enable model invocation logging only with suitable controls for sensitive prompts and responses. Choose pricing and capacity options per model and workload rather than assuming a single billing model across the service.\u003C\u002Fp>","\u003Cp>A common architecture places an application backend in front of Bedrock and uses an IAM role to authorize model invocation. The backend handles user authentication, request validation, conversation state, and output checks. For retrieval-augmented generation, documents are stored in S3 and ingested into a knowledge base backed by a supported retrieval store, such as an OpenSearch Serverless vector collection. The application retrieves relevant context before generating an answer and applies document-level access restrictions appropriate to its users.\u003C\u002Fp>\u003Cp>Tool-enabled applications connect agents to narrowly scoped Lambda functions that validate arguments and call business systems. Step Functions is useful when a workflow needs explicit stages, retries, durable execution, or review outside the model interaction. For example, a document pipeline can generate a structured extraction, validate required fields, and send uncertain results to a manual queue. CloudWatch metrics and application telemetry track latency, errors, throttling, and consumption, while optional invocation logs support debugging under controlled access. Keep storage, model execution, retrieval, and action permissions separate, and review regional routing and data handling requirements across the complete request path.\u003C\u002Fp>","amazon-bedrock","active","2026-10-29T23:32:31.790Z","2026-10-29T23:46:18.000Z","2026-10-29T23:46:18.650Z",{"id":5,"title":166,"subtitle":167},"AWS","Amazon",[169,173,177,181,185,189,193,197,201],{"id":170,"title":171,"subtitle":37,"content":172},14704,"Managed foundation model access","Invoke models from Amazon and other providers without provisioning model-serving clusters. Check the selected model's supported modalities, Region availability, access requirements, and quotas before integrating it.",{"id":174,"title":175,"subtitle":37,"content":176},14705,"Converse and streaming APIs","Use Converse and ConverseStream for a consistent conversational interface across supported models. Keep model-specific settings and capability checks explicit when switching providers or model versions.",{"id":178,"title":179,"subtitle":37,"content":180},14706,"Knowledge Bases for retrieval","Build retrieval-augmented generation workflows using supported data sources and retrieval stores. Tune chunking, metadata filters, and retrieval settings, and evaluate whether retrieved passages actually support the generated answer.",{"id":182,"title":183,"subtitle":37,"content":184},14707,"Agents and tool orchestration","Configure agents to retrieve information and invoke defined application actions. Validate tool arguments and enforce authorization in the action implementation rather than relying on the model to enforce business rules.",{"id":186,"title":187,"subtitle":37,"content":188},14708,"Configurable guardrails","Apply supported checks for harmful content, denied topics, sensitive information, and grounding. Test both false positives and missed violations, and retain application-level controls for security-critical decisions.",{"id":190,"title":191,"subtitle":37,"content":192},14709,"Model customization","Customize supported models using available techniques such as fine-tuning or continued pre-training. Supported methods, training requirements, and deployment options vary by model and Region.",{"id":194,"title":195,"subtitle":37,"content":196},14710,"Evaluation workflows","Use supported evaluation workflows to compare model outputs or assess retrieval and generation quality. Combine automated measurements with representative test cases and human review where correctness is subjective or consequential.",{"id":198,"title":199,"subtitle":37,"content":200},14711,"Flexible inference options","Choose among supported on-demand, batch, and provisioned inference options. Evaluate expected traffic, latency requirements, and model eligibility before selecting a capacity and billing approach.",{"id":202,"title":203,"subtitle":37,"content":204},14712,"AWS security and observability","Control API access with IAM and use supported private endpoints and encryption settings. Combine CloudWatch metrics, optional invocation logging, and CloudTrail records to investigate performance and access issues.",[206,210,214,218,222],{"id":207,"title":208,"subtitle":37,"content":209},11062,"Internal knowledge assistants","Connect an assistant to approved manuals, policies, and operational documentation using retrieval-augmented generation. Enforce document access restrictions and expose source references so users can check answers.",{"id":211,"title":212,"subtitle":37,"content":213},11063,"Customer support assistance","Generate draft responses, summarize conversations, and retrieve relevant support articles. Require human review or deterministic approval checks before sending sensitive responses or changing customer accounts.",{"id":215,"title":216,"subtitle":37,"content":217},11064,"Document analysis and extraction","Extract fields, classify documents, or summarize long reports using models that support the required input format. Validate extracted values against schemas and business rules before writing them to downstream systems.",{"id":219,"title":220,"subtitle":37,"content":221},11065,"Tool-enabled business workflows","Use agents or application-managed tool calls to check inventory, retrieve order status, or prepare service requests. Run actions under narrowly scoped permissions and require confirmation for irreversible changes.",{"id":223,"title":224,"subtitle":37,"content":225},11066,"Batch content processing","Process eligible workloads such as catalog enrichment, document labeling, or large-scale summarization through batch inference. Use job tracking, output validation, and retry logic to handle partial failures.",[227,235,243,251],{"id":228,"content":229,"integratedService":230},9348,"Use Step Functions to orchestrate Bedrock calls alongside validation, retries, and downstream processing. For example, a document-processing state machine can invoke a model, validate the returned JSON in Lambda, and route invalid results for review. Step Functions provides supported Bedrock service integrations, while other operations can be called through supported SDK integrations or Lambda.",{"id":231,"title":232,"subtitle":152,"slug":233,"coverImageUrl":234,"isActive":9},25,"AWS Step Functions","aws-step-functions","\u002Fimages\u002Fprovider-services\u002Faws-step-functions\u002Fcovers\u002FArch_AWS-Step-Functions_64.png",{"id":236,"content":237,"integratedService":238},9349,"Use CloudWatch metrics to monitor invocation activity, latency, errors, and throttling. For example, alarm on sustained throttling and correlate it with application request volume before requesting quota increases. Optional model invocation logging can capture supported request and response data, so restrict access and set retention policies before enabling it.",{"id":239,"title":240,"subtitle":152,"slug":241,"coverImageUrl":242,"isActive":9},95,"Amazon CloudWatch","amazon-cloudwatch","\u002Fimages\u002Fprovider-services\u002Famazon-cloudwatch\u002Fcovers\u002FArch_Amazon-CloudWatch_64.png",{"id":244,"content":245,"integratedService":246},9347,"Lambda functions can invoke Bedrock runtime APIs and implement agent action groups. For example, an order-status action can validate an order identifier, check the caller's authorization, and query an order system. Keep action permissions narrow and make write operations idempotent where retries are possible.",{"id":247,"title":248,"subtitle":152,"slug":249,"coverImageUrl":250,"isActive":9},168,"AWS Lambda","aws-lambda","\u002Fimages\u002Fprovider-services\u002Faws-lambda\u002Fcovers\u002FArch_AWS-Lambda_64.png",{"id":252,"content":253,"integratedService":254},9346,"Use S3 as a document source for supported knowledge base ingestion workflows or as input and output storage for batch inference. For example, upload approved product manuals to a dedicated bucket prefix and synchronize the knowledge base after updates. Scope bucket permissions to the relevant service role and configure encryption and retention for the data.",{"id":255,"title":256,"subtitle":152,"slug":257,"coverImageUrl":258,"isActive":9},173,"Amazon S3","amazon-s3","\u002Fimages\u002Fprovider-services\u002Famazon-s3\u002Fcovers\u002FArch_Amazon-Simple-Storage-Service_64.png",[260,264,268,271,275],{"id":261,"title":262,"subtitle":37,"content":263},12845,"Additional capability and supporting service charges","Capabilities such as guardrails, evaluation, and some knowledge base processing operations can add charges beyond model inference. Include embedding generation, vector storage, S3, Lambda, logging, and data transfer where applicable in workload cost estimates.",{"id":265,"title":266,"subtitle":37,"content":267},12843,"Batch inference","Eligible models support asynchronous batch jobs with pricing separate from interactive inference. Use this option for workloads that can tolerate job completion latency, and account for associated storage costs.",{"id":269,"title":191,"subtitle":37,"content":270},12844,"Customization can incur training charges, storage charges for customized models, and charges for subsequent inference or required hosting capacity. Billing units and supported deployment options vary by model and customization method.",{"id":272,"title":273,"subtitle":37,"content":274},12841,"On-demand inference","Pay for model usage without reserving dedicated capacity. Text models commonly charge separately for input and output tokens, while other modalities may use units such as images or audio duration; rates depend on the model and inference option.",{"id":276,"title":277,"subtitle":37,"content":278},12842,"Provisioned Throughput","For eligible models, purchase provisioned model capacity billed over time, with available commitment terms depending on the offering. Compare expected utilization and throughput needs against on-demand inference before committing.",[280,286,293,299,306,313,320,326,333,340,347,354,361,368,375],{"toolId":102,"serviceId":154,"description":281,"tool":282},"Find the models available in a Region and the model ID or inference profile ID to call each one with.",{"id":102,"title":283,"slug":284,"description":285,"isActive":9},"Amazon Bedrock Model Finder","aws-bedrock-model-finder","Find the Amazon Bedrock models available in an AWS Region, the model or inference profile ID to call, the IAM policy and code for the call, where cross-Region profiles run, lifecycle dates, and what a Bedrock error means.",{"toolId":287,"serviceId":154,"description":288,"tool":289},20,"See how many requests per minute and at once a model's quotas allow, and why you get a 429 at low traffic.",{"id":287,"title":290,"slug":291,"description":292,"isActive":9},"Amazon Bedrock Throttling Calculator","aws-bedrock-throttling-calculator","Choose a Bedrock model and your requests: see the requests per minute and at once its quotas allow, what to change, and why you get a 429 ThrottlingException at low traffic.",{"toolId":81,"serviceId":154,"description":294,"tool":295},"Paste an AgentCore Runtime, Gateway or auth error and see its causes, or a JWT and see what the authorizer checks.",{"id":81,"title":296,"slug":297,"description":298,"isActive":9},"Amazon Bedrock AgentCore Error Decoder","aws-bedrock-agentcore-error-decoder","Paste an Amazon Bedrock AgentCore error: see why an agent runtime, gateway or auth call failed and what to check, or paste a JWT to see what the authorizer checks.",{"toolId":300,"serviceId":154,"description":301,"tool":302},22,"Check a Dockerfile against the AgentCore Runtime container contract: ARM64, 0.0.0.0, the protocol's port, USER.",{"id":300,"title":303,"slug":304,"description":305,"isActive":9},"Amazon Bedrock AgentCore Dockerfile Checker","aws-bedrock-agentcore-dockerfile-checker","Paste a Dockerfile and check it against the Amazon Bedrock AgentCore Runtime container contract: ARM64, host 0.0.0.0, the port of its protocol, a numeric USER and the 53-layer limit.",{"toolId":307,"serviceId":154,"description":308,"tool":309},23,"Describe your agent and see the AgentCore limits it will hit and what a Runtime session costs in CPU and memory.",{"id":307,"title":310,"slug":311,"description":312,"isActive":9},"Amazon Bedrock AgentCore Limits Checker","aws-bedrock-agentcore-limits-checker","Describe your agent and see which Amazon Bedrock AgentCore limits it will hit - request timeouts, session lifetime, 2 vCPU\u002F8 GB, payload sizes - and what a Runtime session costs in CPU and memory.",{"toolId":314,"serviceId":154,"description":315,"tool":316},24,"Pick a Gateway target and see the outbound auth it takes, the credential provider and the service role policy.",{"id":314,"title":317,"slug":318,"description":319,"isActive":9},"Amazon Bedrock AgentCore Gateway Target Configurator","aws-bedrock-agentcore-gateway-target-configurator","Pick an Amazon Bedrock AgentCore Gateway target - Lambda, API Gateway, OpenAPI, Smithy, MCP server or Runtime - and see the outbound auth it takes, its credential provider, the create-gateway-target command and the service role policy.",{"toolId":231,"serviceId":154,"description":321,"tool":322},"Plan how Claude, Claude Code, VS Code, Cursor or your code gets a token AgentCore Gateway or Runtime accepts.",{"id":231,"title":323,"slug":324,"description":325,"isActive":9},"Amazon Bedrock AgentCore Token Flow Planner","aws-bedrock-agentcore-token-flow-planner","Plan how Claude, Claude Code, VS Code, Cursor or your own code gets a token Amazon Bedrock AgentCore Gateway or Runtime accepts - with Cognito, Okta, Entra ID, Auth0 or IAM: the authorizer, redirect URIs and client settings.",{"toolId":327,"serviceId":154,"description":328,"tool":329},26,"Check AgentCore resources in a CloudFormation template or Terraform for open gateways, secrets and public networks.",{"id":327,"title":330,"slug":331,"description":332,"isActive":9},"Amazon Bedrock AgentCore IaC Security Checker","aws-bedrock-agentcore-iac-security-checker","Paste a CloudFormation template or Terraform and check its Amazon Bedrock AgentCore resources before you deploy - gateways without authorization, secrets in the template, PUBLIC network modes, JWT authorizers and execution roles.",{"toolId":334,"serviceId":154,"description":335,"tool":336},27,"Decode Bedrock usage types, Cost Explorer CSVs and CUR rows into spend per model and token type, and split costs by application.",{"id":334,"title":337,"slug":338,"description":339,"isActive":9},"Amazon Bedrock Billing Decoder","aws-bedrock-billing-decoder","Paste Amazon Bedrock usage types, a Cost Explorer CSV or Cost and Usage Report rows and see the model, token type, service tier and routing behind each line, the spend per model, and why the bill does not add up.",{"toolId":341,"serviceId":154,"description":342,"tool":343},28,"Price a workload on any Bedrock model with Flex, Priority, batch, Global routing, prompt caching and Reserved, cheapest first.",{"id":341,"title":344,"slug":345,"description":346,"isActive":9},"Amazon Bedrock Pricing Calculator","aws-bedrock-pricing-calculator","Price an Amazon Bedrock workload every way AWS sells inference - Standard, Priority and Flex tiers, batch, Global routing, prompt caching and the Reserved tier - for any model, Claude included, cheapest first.",{"toolId":348,"serviceId":154,"description":349,"tool":350},29,"Add up training, storage and Provisioned Throughput or on-demand serving of a fine-tuned Bedrock model.",{"id":348,"title":351,"slug":352,"description":353,"isActive":9},"Amazon Bedrock Fine-Tuning Cost Calculator","aws-bedrock-fine-tuning-cost-calculator","Add up what fine-tuning a model on Amazon Bedrock costs - training per token and epoch, monthly storage, and serving it on Provisioned Throughput or on demand - for Nova, Llama and Claude 3 Haiku.",{"toolId":355,"serviceId":154,"description":356,"tool":357},30,"Get the InvokeModel body and Converse request for any Bedrock model, check a body, or fix \"Malformed input request\".",{"id":355,"title":358,"slug":359,"description":360,"isActive":9},"Amazon Bedrock InvokeModel Body Generator and Validator","aws-bedrock-invokemodel-body-generator","Get the InvokeModel request body and the Converse request for any Amazon Bedrock model, check a pasted body against the format the model takes, and see what a Malformed input request ValidationException means.",{"toolId":362,"serviceId":154,"description":363,"tool":364},31,"Check a batch job's JSONL records against the model's body format and quotas, its S3 layout and why a job failed.",{"id":362,"title":365,"slug":366,"description":367,"isActive":9},"Amazon Bedrock Batch Inference JSONL Validator","aws-bedrock-batch-inference-validator","Check an Amazon Bedrock batch inference job before it runs - every JSONL record against the body the model takes, record counts and file sizes against the quotas, the S3 layout and the job settings - and see why a job failed.",{"toolId":369,"serviceId":154,"description":370,"tool":371},32,"Get the vector dimensions, index mapping, role policies, hard limits and idle cost of a knowledge base's vector store.",{"id":369,"title":372,"slug":373,"description":374,"isActive":9},"Amazon Bedrock Knowledge Bases Configurator and Validator","aws-bedrock-knowledge-base-configurator","Set up an Amazon Bedrock knowledge base vector store - the embedding model dimensions, the OpenSearch, Aurora or S3 Vectors index, the service role policies and the limits your data hits - and compare what each store costs idle.",{"toolId":376,"serviceId":154,"description":377,"tool":378},33,"Set up Claude Code, Cline, Cursor or Codex on Bedrock: settings, inference profile ID, IAM policy, quotas and errors.",{"id":376,"title":379,"slug":380,"description":381,"isActive":9},"AI Coding Tools on Amazon Bedrock Configurator","aws-bedrock-coding-tools-configurator","Set up Claude Code, Cline, Cursor or OpenAI Codex on Amazon Bedrock - the settings, the inference profile ID for your Region, a least-privilege IAM policy and a quota check for your sessions - or paste the error the tool 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Family","aws-snow-family",{"title":232,"subtitle":152,"slug":233},{"title":1048,"subtitle":152,"slug":1049},"AWS Storage Gateway","aws-storage-gateway",{"title":1051,"subtitle":152,"slug":1052},"AWS Support","aws-support",{"title":1054,"subtitle":152,"slug":1055},"AWS Systems Manager","aws-systems-manager",{"title":1057,"subtitle":152,"slug":1058},"AWS Tools and SDKs","aws-tools-and-sdks",{"title":1060,"subtitle":152,"slug":1061},"AWS Transfer Family","aws-transfer-family",{"title":1063,"subtitle":152,"slug":1064},"AWS Transit Gateway","aws-transit-gateway",{"title":1066,"subtitle":152,"slug":1067},"AWS Trusted Advisor","aws-trusted-advisor",{"title":1069,"subtitle":1070,"slug":1071},"AWS User Notifications","AWS User Notifications centrally configures and displays notifications from AWS services and delivers them through supported notification channels.","aws-user-notifications",{"title":1073,"subtitle":1074,"slug":1075},"AWS Verified Access","AWS Verified Access provides policy-controlled access to corporate applications without requiring a traditional VPN.","aws-verified-access",{"title":1077,"subtitle":152,"slug":1078},"AWS WAF","aws-waf",{"title":1080,"subtitle":152,"slug":1081},"AWS Wavelength","aws-wavelength",{"title":1083,"subtitle":152,"slug":1084},"AWS Well-Architected Tool","aws-well-architected-tool",{"title":1086,"subtitle":152,"slug":1087},"AWS X-Ray","aws-x-ray",{"title":1089,"subtitle":1090,"slug":1091},"EC2 Image Builder","EC2 Image Builder is an AWS service for automating the creation, testing, and distribution of Linux and Windows Server machine images and container images.","ec2-image-builder",{"title":1093,"subtitle":152,"slug":1094},"Elastic Load Balancing (ELB)","elastic-load-balancing-(elb)",{"title":1096,"subtitle":1097,"slug":1098},"FreeRTOS","FreeRTOS is an open-source real-time operating system for microcontrollers, with libraries for embedded connectivity, security, and integration with AWS IoT services.","freertos",{"title":1100,"subtitle":1101,"slug":1102},"Kiro","Kiro is an AI-powered development environment from AWS that supports agentic coding and specification-driven software development.","kiro",{"title":1104,"subtitle":152,"slug":1105},"Red Hat OpenShift Service on AWS (ROSA)","red-hat-openshift-service-on-aws-(rosa)",{"title":1107,"subtitle":1108,"slug":1109},"Service Quotas","Service Quotas is an AWS service for viewing supported service quotas, checking applied limits, and requesting quota increases.","service-quotas",{"title":1111,"subtitle":152,"slug":1112},"TensorFlow on AWS","tensorflow-on-aws",{"title":1114,"subtitle":152,"slug":1115},"VMware Cloud on AWS","vmware-cloud-on-aws","2026-10-30",1793320541574]