[{"data":1,"prerenderedAt":566},["ShallowReactive",2],{"content-svc-lambda-guides-aws-lambda-operator-guide-useful-queries":3},{"markdown":4,"frontMatterAttributes":5,"bodyRaw":8,"menu":9,"menuType":563,"isCollapseableMenu":12,"nextDocItem":456,"previousDocItem":446,"contributorPaths":564,"contentName":565,"slug":455,"readingTime":58},"\u003Cp>The following table shows example Insights queries that can be useful for monitoring Lambda functions.\u003C\u002Fp>\n\u003Ctable>\n\u003Ctr>\n\u003Ctd> Description \u003C\u002Ftd> \u003Ctd> Example query syntax \u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd> The last 100 errors \u003C\u002Ftd>\n\u003Ctd>\n\n\u003Cpre>\u003Ccode class=\"language-sql\"> fields Timestamp, LogLevel, Message\n \\| filter LogLevel == "ERR"\n \\| sort @timestamp desc\n \\| limit 100\n\u003C\u002Fcode>\u003C\u002Fpre>\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd> The top 100 highest billed invocations \u003C\u002Ftd>\n\u003Ctd>\n\n\u003Cpre>\u003Ccode class=\"language-sql\">filter @type = "REPORT"\n\\| fields @requestId, @billedDuration\n\\| sort by @billedDuration desc\n\\| limit 100\n\u003C\u002Fcode>\u003C\u002Fpre>\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd> Percentage of cold starts in total invocations \u003C\u002Ftd>\n\u003Ctd>\n\n\u003Cpre>\u003Ccode class=\"language-sql\">filter @type = "REPORT"\n\\| stats sum(strcontains(@message, "Init Duration"))\u002Fcount(*) * 100 as\n  coldStartPct, avg(@duration)\n  by bin(5m)\n\u003C\u002Fcode>\u003C\u002Fpre>\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd> Percentile report of Lambda duration \u003C\u002Ftd>\n\u003Ctd>\n\n\u003Cpre>\u003Ccode class=\"language-sql\">filter @type = "REPORT"\n\\| stats\n    avg(@billedDuration) as Average,\n    percentile(@billedDuration, 99) as NinetyNinth,\n    percentile(@billedDuration, 95) as NinetyFifth,\n    percentile(@billedDuration, 90) as Ninetieth\n    by bin(30m)\n\u003C\u002Fcode>\u003C\u002Fpre>\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd> Percentile report of Lambda memory usage \u003C\u002Ftd>\n\u003Ctd>\n\n\u003Cpre>\u003Ccode class=\"language-sql\">filter @type="REPORT"\n\\| stats avg(@maxMemoryUsed\u002F1000\u002F1000) as mean_MemoryUsed,\n    min(@maxMemoryUsed\u002F1000\u002F1000) as min_MemoryUsed,\n    max(@maxMemoryUsed\u002F1000\u002F1000) as max_MemoryUsed,\n    percentile(@maxMemoryUsed\u002F1000\u002F1000, 95) as Percentile95\n\u003C\u002Fcode>\u003C\u002Fpre>\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd> Invocations using 100% of assigned memory \u003C\u002Ftd>\n\u003Ctd>\n\n\u003Cpre>\u003Ccode class=\"language-sql\">filter @type = "REPORT" and @maxMemoryUsed=@memorySize\n\\| stats\n    count_distinct(@requestId)\n    by bin(30m)\n\u003C\u002Fcode>\u003C\u002Fpre>\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd> Average memory used across invocations \u003C\u002Ftd>\n\u003Ctd>\n\n\u003Cpre>\u003Ccode class=\"language-sql\">avgMemoryUsedPERC,\n    avg(@billedDuration) as avgDurationMS\n    by bin(5m)\n\u003C\u002Fcode>\u003C\u002Fpre>\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd> Visualization of memory statistics \u003C\u002Ftd>\n\u003Ctd>\n\n\u003Cpre>\u003Ccode class=\"language-sql\">filter @type = "REPORT"\n\\| stats\n    max(@maxMemoryUsed \u002F 1000 \u002F 1000) as maxMemMB,\n    avg(@maxMemoryUsed \u002F 1000 \u002F 1000) as avgMemMB,\n    min(@maxMemoryUsed \u002F 1000 \u002F 1000) as minMemMB,\n    (avg(@maxMemoryUsed \u002F 1000 \u002F 1000) \u002F max(@memorySize \u002F 1000 \u002F 1000)) * 100 as avgMemUsedPct,\n    avg(@billedDuration) as avgDurationMS\n    by bin(30m)\n\u003C\u002Fcode>\u003C\u002Fpre>\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd> Invocations where Lambda exited \u003C\u002Ftd>\n\u003Ctd>\n\n\u003Cpre>\u003Ccode class=\"language-sql\">filter @message like \u002FProcess exited\u002F\n\\| stats count() by bin(30m)\n\u003C\u002Fcode>\u003C\u002Fpre>\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd> Invocations that timed out \u003C\u002Ftd>\n\u003Ctd>\n\n\u003Cpre>\u003Ccode class=\"language-sql\">filter @message like \u002FTask timed out\u002F\n\\| stats count() by bin(30m)\n\u003C\u002Fcode>\u003C\u002Fpre>\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd> Latency report \u003C\u002Ftd>\n\u003Ctd>\n\n\u003Cpre>\u003Ccode class=\"language-sql\">filter @type = "REPORT"\n\\| stats avg(@duration), max(@duration), min(@duration)\n  by bin(5m)\n\u003C\u002Fcode>\u003C\u002Fpre>\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd> Over-provisioned memory \u003C\u002Ftd>\n\u003Ctd>\n\n\u003Cpre>\u003Ccode class=\"language-sql\">filter @type = "REPORT"\n\\| stats max(@memorySize \u002F 1000\u002F 1000) as provisonedMemMB,\n        min(@maxMemoryUsed \u002F 1000\u002F 1000) as smallestMemReqMB,\n        avg(@maxMemoryUsed \u002F 1000\u002F 1000) as avgMemUsedMB,\n        max(@maxMemoryUsed \u002F 1000\u002F 1000) as maxMemUsedMB,\n        provisonedMemMB - maxMemUsedMB as overProvisionedMB\n\u003C\u002Fcode>\u003C\u002Fpre>\n",{"title":6,"order":7},"Useful Insights queries",72,"The following table shows example Insights queries that can be useful for monitoring Lambda functions.\n\n\u003Ctable>\n\u003Ctr>\n\u003Ctd> Description \u003C\u002Ftd> \u003Ctd> Example query syntax \u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd> The last 100 errors \u003C\u002Ftd>\n\u003Ctd>\n\n```sql\n fields Timestamp, LogLevel, Message\n \\| filter LogLevel == \"ERR\"\n \\| sort @timestamp desc\n \\| limit 100\n```\n\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd> The top 100 highest billed invocations \u003C\u002Ftd>\n\u003Ctd>\n\n```sql\nfilter @type = \"REPORT\"\n\\| fields @requestId, @billedDuration\n\\| sort by @billedDuration desc\n\\| limit 100\n```\n\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd> Percentage of cold starts in total invocations \u003C\u002Ftd>\n\u003Ctd>\n\n```sql\nfilter @type = \"REPORT\"\n\\| stats sum(strcontains(@message, \"Init Duration\"))\u002Fcount(*) * 100 as\n  coldStartPct, avg(@duration)\n  by bin(5m)\n```\n\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd> Percentile report of Lambda duration \u003C\u002Ftd>\n\u003Ctd>\n\n```sql\nfilter @type = \"REPORT\"\n\\| stats\n    avg(@billedDuration) as Average,\n    percentile(@billedDuration, 99) as NinetyNinth,\n    percentile(@billedDuration, 95) as NinetyFifth,\n    percentile(@billedDuration, 90) as Ninetieth\n    by bin(30m)\n```\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd> Percentile report of Lambda memory usage \u003C\u002Ftd>\n\u003Ctd>\n\n```sql\nfilter @type=\"REPORT\"\n\\| stats avg(@maxMemoryUsed\u002F1000\u002F1000) as mean_MemoryUsed,\n    min(@maxMemoryUsed\u002F1000\u002F1000) as min_MemoryUsed,\n    max(@maxMemoryUsed\u002F1000\u002F1000) as max_MemoryUsed,\n    percentile(@maxMemoryUsed\u002F1000\u002F1000, 95) as Percentile95\n```\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd> Invocations using 100% of assigned memory \u003C\u002Ftd>\n\u003Ctd>\n\n```sql\nfilter @type = \"REPORT\" and @maxMemoryUsed=@memorySize\n\\| stats\n    count_distinct(@requestId)\n    by bin(30m)\n```\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd> Average memory used across invocations \u003C\u002Ftd>\n\u003Ctd>\n\n```sql\navgMemoryUsedPERC,\n    avg(@billedDuration) as avgDurationMS\n    by bin(5m)\n```\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd> Visualization of memory statistics \u003C\u002Ftd>\n\u003Ctd>\n\n```sql\nfilter @type = \"REPORT\"\n\\| stats\n    max(@maxMemoryUsed \u002F 1000 \u002F 1000) as maxMemMB,\n    avg(@maxMemoryUsed \u002F 1000 \u002F 1000) as avgMemMB,\n    min(@maxMemoryUsed \u002F 1000 \u002F 1000) as minMemMB,\n    (avg(@maxMemoryUsed \u002F 1000 \u002F 1000) \u002F max(@memorySize \u002F 1000 \u002F 1000)) * 100 as avgMemUsedPct,\n    avg(@billedDuration) as avgDurationMS\n    by bin(30m)\n```\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd> Invocations where Lambda exited \u003C\u002Ftd>\n\u003Ctd>\n\n```sql\nfilter @message like \u002FProcess exited\u002F\n\\| stats count() by bin(30m)\n```\n\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd> Invocations that timed out \u003C\u002Ftd>\n\u003Ctd>\n\n```sql\nfilter @message like \u002FTask timed out\u002F\n\\| stats count() by bin(30m)\n```\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd> Latency report \u003C\u002Ftd>\n\u003Ctd>\n\n```sql\nfilter @type = \"REPORT\"\n\\| stats avg(@duration), max(@duration), min(@duration)\n  by bin(5m)\n```\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd> Over-provisioned memory \u003C\u002Ftd>\n\u003Ctd>\n\n```sql\nfilter @type = \"REPORT\"\n\\| stats max(@memorySize \u002F 1000\u002F 1000) as provisonedMemMB,\n        min(@maxMemoryUsed \u002F 1000\u002F 1000) as smallestMemReqMB,\n        avg(@maxMemoryUsed \u002F 1000\u002F 1000) as avgMemUsedMB,\n        max(@maxMemoryUsed \u002F 1000\u002F 1000) as maxMemUsedMB,\n        provisonedMemMB - maxMemUsedMB as overProvisionedMB\n```",[10,21,139,247,314,384,486,555],{"title":-1,"collapsible":11,"isCollapsed":12,"content":13},false,true,[14],{"title":15,"order":16,"time":17,"path":18,"id":19,"link":20},"Introduction",1,"4 min","intro","intro.md","\u002Fcontent\u002Fservice\u002Flambda\u002Fguides\u002Faws-lambda-operator-guide\u002Fintro",{"title":22,"collapsible":12,"isCollapsed":12,"content":23},"Event-driven architectures",[24,30,37,43,49,55,62,68,74,80,86,92,98,104,110,116,122,128,133],{"title":22,"order":25,"time":26,"path":27,"id":28,"link":29},2,"1 min","event-driven-architectures","event-driven-architectures.md","\u002Fcontent\u002Fservice\u002Flambda\u002Fguides\u002Faws-lambda-operator-guide\u002Fevent-driven-architectures",{"title":31,"order":32,"time":33,"path":34,"id":35,"link":36},"How Lambda fits into the event-driven paradigm",3,"3 min","lambda-event-driven-paradigm","lambda-event-driven-paradigm.md","\u002Fcontent\u002Fservice\u002Flambda\u002Fguides\u002Faws-lambda-operator-guide\u002Flambda-event-driven-paradigm",{"title":38,"order":39,"time":33,"path":40,"id":41,"link":42},"The benefits of event-driven architectures",4,"event-driven-benefits","event-driven-benefits.md","\u002Fcontent\u002Fservice\u002Flambda\u002Fguides\u002Faws-lambda-operator-guide\u002Fevent-driven-benefits",{"title":44,"order":45,"time":17,"path":46,"id":47,"link":48},"Trade-offs of event-driven architectures",5,"tradeoffs-event-driven","tradeoffs-event-driven.md","\u002Fcontent\u002Fservice\u002Flambda\u002Fguides\u002Faws-lambda-operator-guide\u002Ftradeoffs-event-driven",{"title":50,"order":51,"time":26,"path":52,"id":53,"link":54},"Design principles",6,"design-principles","design-principles.md","\u002Fcontent\u002Fservice\u002Flambda\u002Fguides\u002Faws-lambda-operator-guide\u002Fdesign-principles",{"title":56,"order":57,"time":58,"path":59,"id":60,"link":61},"Use services instead of custom code",7,"2 min","services-custom-code","services-custom-code.md","\u002Fcontent\u002Fservice\u002Flambda\u002Fguides\u002Faws-lambda-operator-guide\u002Fservices-custom-code",{"title":63,"order":64,"time":26,"path":65,"id":66,"link":67},"Understanding the level of abstraction",8,"level-abstraction","level-abstraction.md","\u002Fcontent\u002Fservice\u002Flambda\u002Fguides\u002Faws-lambda-operator-guide\u002Flevel-abstraction",{"title":69,"order":70,"time":26,"path":71,"id":72,"link":73},"Implementing statelessness in functions",9,"statelessness-functions","statelessness-functions.md","\u002Fcontent\u002Fservice\u002Flambda\u002Fguides\u002Faws-lambda-operator-guide\u002Fstatelessness-functions",{"title":75,"order":76,"time":26,"path":77,"id":78,"link":79},"Lambda function design",10,"function-design","function-design.md","\u002Fcontent\u002Fservice\u002Flambda\u002Fguides\u002Faws-lambda-operator-guide\u002Ffunction-design",{"title":81,"order":82,"time":58,"path":83,"id":84,"link":85},"Building for on-demand data instead of batches",11,"on-demand-batches","on-demand-batches.md","\u002Fcontent\u002Fservice\u002Flambda\u002Fguides\u002Faws-lambda-operator-guide\u002Fon-demand-batches",{"title":87,"order":88,"time":26,"path":89,"id":90,"link":91},"Orchestration",12,"orchestration","orchestration.md","\u002Fcontent\u002Fservice\u002Flambda\u002Fguides\u002Faws-lambda-operator-guide\u002Forchestration",{"title":93,"order":94,"time":58,"path":95,"id":96,"link":97},"Developing for retries and failures",13,"retries-failure","retries-failure.md","\u002Fcontent\u002Fservice\u002Flambda\u002Fguides\u002Faws-lambda-operator-guide\u002Fretries-failure",{"title":99,"order":100,"time":26,"path":101,"id":102,"link":103},"Anti-patterns in Lambda-based applications",14,"anti-patterns","anti-patterns.md","\u002Fcontent\u002Fservice\u002Flambda\u002Fguides\u002Faws-lambda-operator-guide\u002Fanti-patterns",{"title":105,"order":106,"time":17,"path":107,"id":108,"link":109},"The Lambda monolith",15,"monolith","monolith.md","\u002Fcontent\u002Fservice\u002Flambda\u002Fguides\u002Faws-lambda-operator-guide\u002Fmonolith",{"title":111,"order":112,"time":58,"path":113,"id":114,"link":115},"Lambda as orchestrator",16,"orchestrator","orchestrator.md","\u002Fcontent\u002Fservice\u002Flambda\u002Fguides\u002Faws-lambda-operator-guide\u002Forchestrator",{"title":117,"order":118,"time":58,"path":119,"id":120,"link":121},"Recursive patterns that cause run-away Lambda functions",17,"recursive-runaway","recursive-runaway.md","\u002Fcontent\u002Fservice\u002Flambda\u002Fguides\u002Faws-lambda-operator-guide\u002Frecursive-runaway",{"title":123,"order":124,"time":33,"path":125,"id":126,"link":127},"Lambda functions calling Lambda functions",19,"functions-calling-functions","functions-calling-functions.md","\u002Fcontent\u002Fservice\u002Flambda\u002Fguides\u002Faws-lambda-operator-guide\u002Ffunctions-calling-functions",{"title":129,"order":124,"time":26,"path":130,"id":131,"link":132},"Synchronous waiting within a single Lambda function","synchronous-waiting","synchronous-waiting.md","\u002Fcontent\u002Fservice\u002Flambda\u002Fguides\u002Faws-lambda-operator-guide\u002Fsynchronous-waiting",{"title":134,"order":135,"time":33,"path":136,"id":137,"link":138},"Frequently asked questions",20,"event-driven-faq","event-driven-faq.md","\u002Fcontent\u002Fservice\u002Flambda\u002Fguides\u002Faws-lambda-operator-guide\u002Fevent-driven-faq",{"title":140,"collapsible":12,"isCollapsed":12,"content":141},"Application design",[142,147,153,159,165,171,177,182,188,194,200,206,212,218,224,230,236,242],{"title":140,"order":143,"time":26,"path":144,"id":145,"link":146},21,"application-design","application-design.md","\u002Fcontent\u002Fservice\u002Flambda\u002Fguides\u002Faws-lambda-operator-guide\u002Fapplication-design",{"title":148,"order":149,"time":33,"path":150,"id":151,"link":152},"Understanding quotas",22,"quotas","quotas.md","\u002Fcontent\u002Fservice\u002Flambda\u002Fguides\u002Faws-lambda-operator-guide\u002Fquotas",{"title":154,"order":155,"time":58,"path":156,"id":157,"link":158},"Architecting with Service Quotas",23,"service-quotas","service-quotas.md","\u002Fcontent\u002Fservice\u002Flambda\u002Fguides\u002Faws-lambda-operator-guide\u002Fservice-quotas",{"title":160,"order":161,"time":58,"path":162,"id":163,"link":164},"Using multiple AWS accounts for managing quotas",24,"multiple-accounts","multiple-accounts.md","\u002Fcontent\u002Fservice\u002Flambda\u002Fguides\u002Faws-lambda-operator-guide\u002Fmultiple-accounts",{"title":166,"order":167,"time":26,"path":168,"id":169,"link":170},"Scaling and concurrency in Lambda",25,"scaling-concurrency","scaling-concurrency.md","\u002Fcontent\u002Fservice\u002Flambda\u002Fguides\u002Faws-lambda-operator-guide\u002Fscaling-concurrency",{"title":172,"order":173,"time":58,"path":174,"id":175,"link":176},"On-demand scaling example",26,"on-demand-scaling","on-demand-scaling.md","\u002Fcontent\u002Fservice\u002Flambda\u002Fguides\u002Faws-lambda-operator-guide\u002Fon-demand-scaling",{"title":178,"order":173,"time":58,"path":179,"id":180,"link":181},"Provisioned Concurrency scaling example","provisioned-scaling","provisioned-scaling.md","\u002Fcontent\u002Fservice\u002Flambda\u002Fguides\u002Faws-lambda-operator-guide\u002Fprovisioned-scaling",{"title":183,"order":184,"time":58,"path":185,"id":186,"link":187},"Using service integrations and asynchronous processing",28,"integrations-asynchronous","integrations-asynchronous.md","\u002Fcontent\u002Fservice\u002Flambda\u002Fguides\u002Faws-lambda-operator-guide\u002Fintegrations-asynchronous",{"title":189,"order":190,"time":58,"path":191,"id":192,"link":193},"Reserved concurrency",29,"reserved-concurrency","reserved-concurrency.md","\u002Fcontent\u002Fservice\u002Flambda\u002Fguides\u002Faws-lambda-operator-guide\u002Freserved-concurrency",{"title":195,"order":196,"time":26,"path":197,"id":198,"link":199},"Choosing and managing runtimes in Lambda functions",30,"runtimes-functions","runtimes-functions.md","\u002Fcontent\u002Fservice\u002Flambda\u002Fguides\u002Faws-lambda-operator-guide\u002Fruntimes-functions",{"title":201,"order":202,"time":26,"path":203,"id":204,"link":205},"Runtimes and performance",31,"runtimes-performance","runtimes-performance.md","\u002Fcontent\u002Fservice\u002Flambda\u002Fguides\u002Faws-lambda-operator-guide\u002Fruntimes-performance",{"title":207,"order":208,"time":26,"path":209,"id":210,"link":211},"Multiple runtimes in single applications",32,"runtimes-multiple","runtimes-multiple.md","\u002Fcontent\u002Fservice\u002Flambda\u002Fguides\u002Faws-lambda-operator-guide\u002Fruntimes-multiple",{"title":213,"order":214,"time":26,"path":215,"id":216,"link":217},"Managing AWS SDKs in Lambda functions",33,"sdks-functions","sdks-functions.md","\u002Fcontent\u002Fservice\u002Flambda\u002Fguides\u002Faws-lambda-operator-guide\u002Fsdks-functions",{"title":219,"order":220,"time":33,"path":221,"id":222,"link":223},"Networking and VPC configurations",34,"networking-vpc","networking-vpc.md","\u002Fcontent\u002Fservice\u002Flambda\u002Fguides\u002Faws-lambda-operator-guide\u002Fnetworking-vpc",{"title":225,"order":226,"time":33,"path":227,"id":228,"link":229},"Comparing Lambda invocation modes",35,"invocation-modes","invocation-modes.md","\u002Fcontent\u002Fservice\u002Flambda\u002Fguides\u002Faws-lambda-operator-guide\u002Finvocation-modes",{"title":231,"order":232,"time":58,"path":233,"id":234,"link":235},"Understanding SQS retries",36,"sqs-retries","sqs-retries.md","\u002Fcontent\u002Fservice\u002Flambda\u002Fguides\u002Faws-lambda-operator-guide\u002Fsqs-retries",{"title":237,"order":238,"time":58,"path":239,"id":240,"link":241},"Controlling traffic flow for server-based resources",37,"traffic-server-based","traffic-server-based.md","\u002Fcontent\u002Fservice\u002Flambda\u002Fguides\u002Faws-lambda-operator-guide\u002Ftraffic-server-based",{"title":134,"order":243,"time":33,"path":244,"id":245,"link":246},38,"application-design-faq","application-design-faq.md","\u002Fcontent\u002Fservice\u002Flambda\u002Fguides\u002Faws-lambda-operator-guide\u002Fapplication-design-faq",{"title":248,"collapsible":12,"isCollapsed":12,"content":249},"Security",[250,255,261,267,273,279,285,291,297,303,309],{"title":248,"order":251,"time":58,"path":252,"id":253,"link":254},39,"security-ops","security-ops.md","\u002Fcontent\u002Fservice\u002Flambda\u002Fguides\u002Faws-lambda-operator-guide\u002Fsecurity-ops",{"title":256,"order":257,"time":33,"path":258,"id":259,"link":260},"Understanding the Lambda execution 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