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WHEN: debug production issues, troubleshoot app service, app service high CPU, app service deployment failure, troubleshoot container apps, troubleshoot functions, troubleshoot AKS, VM RDP, Linux SSH, VM black screen, can't connect to VM, reset VM password, NSG or firewall blocking, kubectl cannot connect, kube-system\u002FCoreDNS failures, pod pending, crashloop, node not ready, upgrade failures, analyze logs, KQL, insights, image pull failures, cold start issues, health probe failures, resource health, root cause of errors, troubleshoot event hubs, troubleshoot service bus, messaging SDK error, AMQP connection failure, message lock lost, service bus dead letter.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},"microsoft","Microsoft","https:\u002F\u002Fpexgzepcugksgbtrxkhf.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Forg-logos\u002Fmicrosoft.png",[12,16,19],{"name":13,"slug":14,"type":15},"Observability","observability","tag",{"name":17,"slug":18,"type":15},"Azure","azure",{"name":20,"slug":21,"type":15},"Debugging","debugging",1324,"https:\u002F\u002Fgithub.com\u002Fmicrosoft\u002Fazure-skills","2026-07-31T05:56:22.301705","MIT",220,[28],"agent-skills",{"repoUrl":23,"stars":22,"forks":26,"topics":30,"description":31},[28],"Official agent plugin providing skills and MCP server configurations for Azure scenarios.","https:\u002F\u002Fgithub.com\u002Fmicrosoft\u002Fazure-skills\u002Ftree\u002FHEAD\u002Fskills\u002Fazure-diagnostics","---\nname: azure-diagnostics\ndescription: \"Debug Azure production issues on Azure using AppLens, Azure Monitor, resource health, and safe triage. WHEN: debug production issues, troubleshoot app service, app service high CPU, app service deployment failure, troubleshoot container apps, troubleshoot functions, troubleshoot AKS, VM RDP, Linux SSH, VM black screen, can't connect to VM, reset VM password, NSG or firewall blocking, kubectl cannot connect, kube-system\u002FCoreDNS failures, pod pending, crashloop, node not ready, upgrade failures, analyze logs, KQL, insights, image pull failures, cold start issues, health probe failures, resource health, root cause of errors, troubleshoot event hubs, troubleshoot service bus, messaging SDK error, AMQP connection failure, message lock lost, service bus dead letter.\"\nlicense: MIT\nmetadata:\n  author: Microsoft\n  version: \"1.2.1\"\n---\n\n# Azure Diagnostics\n\n> **AUTHORITATIVE GUIDANCE — MANDATORY COMPLIANCE**\n>\n> This document is the **official source** for debugging and troubleshooting Azure production issues. Follow these instructions to diagnose and resolve common Azure service problems systematically.\n\n## Triggers\n\nActivate this skill when user wants to:\n- Debug or troubleshoot production issues\n- Diagnose errors in Azure services\n- Analyze application logs or metrics\n- Fix image pull, cold start, or health probe issues\n- Investigate why Azure resources are failing\n- Find root cause of application errors\n- Troubleshoot App Service issues (high CPU, deployment failures, crashes, slow responses, TLS\u002Fcustom domains)\n- Respond to prompts like \"troubleshoot app service\", \"app service high CPU\", or \"app service deployment failure\"\n- Troubleshoot Azure Function Apps (invocation failures, timeouts, binding errors)\n- Find the App Insights or Log Analytics workspace linked to a Function App\n- Troubleshoot AKS clusters, nodes, pods, ingress, or Kubernetes networking issues\n- Troubleshoot Azure VM connectivity issues (RDP\u002FSSH failures, port 3389\u002F22 timeouts, NSG or firewall blocking, credential resets)\n- Troubleshoot Azure Messaging SDK issues (Event Hubs, Service Bus connection failures, AMQP errors, message lock issues)\n\n## Rules\n\n1. Start with systematic diagnosis flow\n2. Use AppLens (MCP) for AI-powered diagnostics when available\n3. Check resource health before deep-diving into logs\n4. Select appropriate troubleshooting guide based on service type\n5. Document findings and attempted remediation steps\n6. Route AKS incidents to the dedicated AKS troubleshooting document\n\n---\n\n## Quick Diagnosis Flow\n\n1. **Identify symptoms** - What's failing?\n2. **Check resource health** - Is Azure healthy?\n3. **Review logs** - What do logs show?\n4. **Analyze metrics** - Performance patterns?\n5. **Investigate recent changes** - What changed?\n\n---\n\n## Troubleshooting Guides by Service\n\n| Service | Common Issues | Reference |\n|---------|---------------|-----------|\n| **Container Apps** | Image pull failures, cold starts, health probes, port mismatches | [container-apps\u002F](references\u002Fcontainer-apps\u002FREADME.md) |\n| **App Service** | High CPU, deployment failures, crashes, slow responses, TLS\u002Fcustom domains | [app-service\u002F](references\u002Fapp-service\u002FREADME.md) |\n| **Function Apps** | App details, invocation failures, timeouts, binding errors, cold starts, missing app settings | [functions\u002F](references\u002Ffunctions\u002FREADME.md) |\n| **AKS** | Cluster access, nodes, `kube-system`, scheduling, crash loops, ingress, DNS, upgrades | [AKS Troubleshooting](troubleshooting\u002Faks\u002Faks-troubleshooting.md) |\n| **Compute** | VM RDP\u002FSSH connectivity, NSG\u002Ffirewall blocks, credential resets, VM agent\u002Ftooling issues | [VM Connectivity Troubleshooting](troubleshooting\u002Fcompute\u002Fvm-troubleshooting.md) |\n| **Messaging** | Event Hubs & Service Bus SDK errors, AMQP failures, message lock, connectivity | [Messaging Troubleshooting](troubleshooting\u002Fmessaging\u002FREADME.md) |\n\n---\n\n## Routing\n\n- Keep Container Apps and Function Apps diagnostics in this parent skill.\n- Route active AKS incidents, AKS-specific intake, evidence gathering, and remediation guidance to [AKS Troubleshooting](troubleshooting\u002Faks\u002Faks-troubleshooting.md).\n- Route Azure VM RDP\u002FSSH connectivity, NSG\u002Ffirewall, credential reset, and VM agent troubleshooting to [VM Connectivity Troubleshooting](troubleshooting\u002Fcompute\u002Fvm-troubleshooting.md).\n- Route Azure Messaging SDK troubleshooting (Event Hubs, Service Bus) to [Messaging Troubleshooting](troubleshooting\u002Fmessaging\u002FREADME.md).\n\n---\n\n## Quick Reference\n\n### Common Diagnostic Commands\n\n```bash\n# Check resource health\naz resource show --ids RESOURCE_ID\n# View activity log\naz monitor activity-log list -g RG --max-events 20\n# Container Apps logs\naz containerapp logs show --name APP -g RG --follow\n# Function App logs (query App Insights traces)\naz monitor app-insights query --apps APP-INSIGHTS -g RG \\\n  --analytics-query \"traces | where timestamp > ago(1h) | order by timestamp desc | take 50\"\n```\n\n### AppLens (MCP Tools)\n\nFor AI-powered diagnostics, use:\n```\nmcp_azure_mcp_applens\n  intent: \"diagnose issues with \u003Cresource-name>\"\n  command: \"diagnose\"\n  parameters:\n    resourceId: \"\u003Cresource-id>\"\n\nProvides:\n- Automated issue detection\n- Root cause analysis\n- Remediation recommendations\n```\n\n### Azure Monitor (MCP Tools)\n\nFor querying logs and metrics:\n```\nmcp_azure_mcp_monitor\n  intent: \"query logs for \u003Cresource-name>\"\n  command: \"logs_query\"\n  parameters:\n    workspaceId: \"\u003Cworkspace-id>\"\n    query: \"\u003CKQL-query>\"\n```\n\nSee [kql-queries.md](references\u002Fkql-queries.md) for common diagnostic queries.\n\n---\n\n## Check Azure Resource Health\n\n### Using MCP\n\n```\nmcp_azure_mcp_resourcehealth\n  intent: \"check health status of \u003Cresource-name>\"\n  command: \"get\"\n  parameters:\n    resourceId: \"\u003Cresource-id>\"\n```\n\n### Using CLI\n\n```bash\n# Check specific resource health\naz resource show --ids RESOURCE_ID\n\n# Check recent activity\naz monitor activity-log list -g RG --max-events 20\n```\n\n---\n\n## References\n\n- [KQL Query Library](references\u002Fkql-queries.md)\n- [Azure Resource Graph Queries](references\u002Fazure-resource-graph.md)\n- [App Service 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.light .shiki span {color: var(--shiki-light);background: var(--shiki-light-bg);font-style: var(--shiki-light-font-style);font-weight: var(--shiki-light-font-weight);text-decoration: var(--shiki-light-text-decoration);}html.light .shiki span {color: var(--shiki-light);background: var(--shiki-light-bg);font-style: var(--shiki-light-font-style);font-weight: var(--shiki-light-font-weight);text-decoration: var(--shiki-light-text-decoration);}html .default .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}html .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}html .dark .shiki span {color: var(--shiki-dark);background: var(--shiki-dark-bg);font-style: var(--shiki-dark-font-style);font-weight: var(--shiki-dark-font-weight);text-decoration: var(--shiki-dark-text-decoration);}html.dark .shiki span {color: var(--shiki-dark);background: var(--shiki-dark-bg);font-style: var(--shiki-dark-font-style);font-weight: var(--shiki-dark-font-weight);text-decoration: var(--shiki-dark-text-decoration);}",{"items":1007,"total":1135},[1008,1028,1040,1061,1082,1099,1117],{"slug":1009,"name":1009,"fn":1010,"description":1011,"org":1012,"tags":1013,"stars":22,"repoUrl":23,"updatedAt":1027},"airunway-aks-setup","set up AI Runway on Azure Kubernetes Service","Set up AI Runway on AKS — from bare cluster to running model. Covers cluster verification, controller install, GPU assessment, provider setup, and first deployment. WHEN: \"setup AI Runway\", \"onboard AKS cluster\", \"install AI Runway\", \"airunway setup\", \"deploy model to AKS\", \"GPU inference on AKS\", \"KAITO setup on AKS\", \"run LLM on AKS\", \"vLLM on AKS\", \"set up model serving on AKS\", \"AI Runway controller\".",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1014,1017,1018,1021,1024],{"name":1015,"slug":1016,"type":15},"AI Infrastructure","ai-infrastructure",{"name":17,"slug":18,"type":15},{"name":1019,"slug":1020,"type":15},"Deployment","deployment",{"name":1022,"slug":1023,"type":15},"Kubernetes","kubernetes",{"name":1025,"slug":1026,"type":15},"Runway","runway","2026-07-31T05:56:13.054971",{"slug":1029,"name":1029,"fn":1030,"description":1031,"org":1032,"tags":1033,"stars":22,"repoUrl":23,"updatedAt":1039},"appinsights-instrumentation","instrument webapps with Azure Application Insights","Guidance for instrumenting webapps with Azure Application Insights. Provides telemetry patterns, SDK setup, and configuration references. WHEN: how to instrument app, App Insights SDK, telemetry patterns, what is App Insights, Application Insights guidance, instrumentation examples, APM best practices.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1034,1035,1038],{"name":17,"slug":18,"type":15},{"name":1036,"slug":1037,"type":15},"Monitoring","monitoring",{"name":13,"slug":14,"type":15},"2026-07-31T05:56:09.068625",{"slug":1041,"name":1041,"fn":1042,"description":1043,"org":1044,"tags":1045,"stars":22,"repoUrl":23,"updatedAt":1060},"azure-ai","build applications with Azure AI services","Use for Azure AI: Search, Speech, OpenAI, Document Intelligence. Helps with search, vector\u002Fhybrid search, speech-to-text, text-to-speech, transcription, OCR. WHEN: AI Search, query search, vector search, hybrid search, semantic search, speech-to-text, text-to-speech, transcribe, OCR, convert text to speech.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1046,1047,1048,1051,1054,1057],{"name":1015,"slug":1016,"type":15},{"name":17,"slug":18,"type":15},{"name":1049,"slug":1050,"type":15},"LLM","llm",{"name":1052,"slug":1053,"type":15},"OpenAI","openai",{"name":1055,"slug":1056,"type":15},"Search","search",{"name":1058,"slug":1059,"type":15},"Speech","speech","2026-07-31T05:56:19.069133",{"slug":1062,"name":1062,"fn":1063,"description":1064,"org":1065,"tags":1066,"stars":22,"repoUrl":23,"updatedAt":1081},"azure-aigateway","configure Azure API Management as an AI Gateway","Configure Azure API Management as an AI Gateway for AI models, MCP tools, and agents. WHEN: semantic caching, token limit, content safety, load balancing, AI model governance, MCP rate limiting, jailbreak detection, add Azure OpenAI backend, add AI Foundry model, test AI gateway, LLM policies, configure AI backend, token metrics, AI cost control, convert API to MCP, import OpenAPI to gateway.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1067,1068,1071,1072,1075,1078],{"name":1015,"slug":1016,"type":15},{"name":1069,"slug":1070,"type":15},"API Development","api-development",{"name":17,"slug":18,"type":15},{"name":1073,"slug":1074,"type":15},"Caching","caching",{"name":1076,"slug":1077,"type":15},"Governance","governance",{"name":1079,"slug":1080,"type":15},"Security","security","2026-07-31T05:56:23.05242",{"slug":1083,"name":1083,"fn":1084,"description":1085,"org":1086,"tags":1087,"stars":22,"repoUrl":23,"updatedAt":1098},"azure-cloud-migrate","migrate cross-cloud workloads to Azure","Assess and migrate cross-cloud workloads to Azure with reports and code conversion. Supports Lambda→Functions, Beanstalk\u002FHeroku\u002FApp Engine→App Service, Fargate\u002FKubernetes\u002FCloud Run\u002FSpring Boot→Container Apps. WHEN: migrate Lambda to Functions, AWS to Azure, migrate Beanstalk, migrate Heroku, migrate App Engine, Cloud Run migration, Fargate to ACA, ECS\u002FKubernetes\u002FGKE\u002FEKS to Container Apps, Spring Boot to Container Apps, cross-cloud migration.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1088,1091,1092,1095],{"name":1089,"slug":1090,"type":15},"AWS","aws",{"name":17,"slug":18,"type":15},{"name":1093,"slug":1094,"type":15},"Google Cloud","google-cloud",{"name":1096,"slug":1097,"type":15},"Migration","migration","2026-07-31T05:56:29.049979",{"slug":1100,"name":1100,"fn":1101,"description":1102,"org":1103,"tags":1104,"stars":22,"repoUrl":23,"updatedAt":1116},"azure-compliance","audit Azure compliance and security","Run Azure compliance and security audits with azqr plus Key Vault expiration checks. Covers best-practice assessment, resource review, policy\u002Fcompliance validation, and security posture checks. WHEN: compliance scan, security audit, BEFORE running azqr (compliance cli tool), Azure best practices, Key Vault expiration check, expired certificates, expiring secrets, orphaned resources, compliance assessment.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1105,1108,1109,1112,1115],{"name":1106,"slug":1107,"type":15},"Audit","audit",{"name":17,"slug":18,"type":15},{"name":1110,"slug":1111,"type":15},"Compliance","compliance",{"name":1113,"slug":1114,"type":15},"Regulatory Compliance","regulatory-compliance",{"name":1079,"slug":1080,"type":15},"2026-07-31T05:56:11.06797",{"slug":1118,"name":1118,"fn":1119,"description":1120,"org":1121,"tags":1122,"stars":22,"repoUrl":23,"updatedAt":1134},"azure-compute","manage and optimize Azure compute resources","Azure VM\u002FVMSS router. WHEN: create \u002F provision \u002F deploy \u002F spin-up VM, recommend VM size, compare VM pricing, VMSS, scale set, autoscale, burstable, lightweight server, website, backend, GPU, machine learning, HPC simulation, dev\u002Ftest, workload, family, load balancer, Flexible orchestration, Uniform orchestration, cost estimate, capacity reservation (CRG), reserve, guarantee capacity, pre-provision, CRG association, CRG disassociation, machine enrollment (EMM), Essential Machine Management, monitor. PREFER OVER mcp__azure__get_azure_bestpractices for VM create intents — use compute_vm_list-skus \u002F compute_vm_list-images \u002F compute_vm_check-quota.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1123,1124,1125,1128,1131],{"name":1015,"slug":1016,"type":15},{"name":17,"slug":18,"type":15},{"name":1126,"slug":1127,"type":15},"Cost Optimization","cost-optimization",{"name":1129,"slug":1130,"type":15},"Performance","performance",{"name":1132,"slug":1133,"type":15},"Virtual Machines","virtual-machines","2026-07-31T05:56:16.042469",28,{"items":1137,"total":1318},[1138,1160,1177,1196,1207,1222,1233,1244,1259,1274,1293,1306],{"slug":1139,"name":1139,"fn":1140,"description":1141,"org":1142,"tags":1143,"stars":1157,"repoUrl":1158,"updatedAt":1159},"rushstack-best-practices","manage Rush monorepos with best practices","Provides best practices and guidance for working with Rush monorepos. Use when the user is working in a Rush-based repository, asks about Rush commands (install, update, build, rebuild), needs help with project selection, dependency management, build caching, subspace configuration, or troubleshooting Rush-specific issues.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1144,1147,1150,1151,1154],{"name":1145,"slug":1146,"type":15},"Engineering","engineering",{"name":1148,"slug":1149,"type":15},"Local Development","local-development",{"name":9,"slug":8,"type":15},{"name":1152,"slug":1153,"type":15},"Project Management","project-management",{"name":1155,"slug":1156,"type":15},"Rush","rush",6484,"https:\u002F\u002Fgithub.com\u002Fmicrosoft\u002Frushstack","2026-04-06T18:34:44.965032",{"slug":1161,"name":1161,"fn":1162,"description":1163,"org":1164,"tags":1165,"stars":1174,"repoUrl":1175,"updatedAt":1176},"azure-ai-agents-persistent-dotnet","build AI agents with Azure .NET SDK","Azure AI Agents Persistent SDK for .NET. Low-level SDK for creating and managing AI agents with threads, messages, runs, and tools. Use for agent CRUD, conversation threads, streaming responses, function calling, file search, and code interpreter. Triggers: \"PersistentAgentsClient\", \"persistent agents\", \"agent threads\", \"agent runs\", \"streaming agents\", \"function calling agents .NET\".\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1166,1169,1172,1173],{"name":1167,"slug":1168,"type":15},".NET","net",{"name":1170,"slug":1171,"type":15},"Agents","agents",{"name":17,"slug":18,"type":15},{"name":1049,"slug":1050,"type":15},2804,"https:\u002F\u002Fgithub.com\u002Fmicrosoft\u002Fskills","2026-07-03T16:32:10.297433",{"slug":1178,"name":1178,"fn":1179,"description":1180,"org":1181,"tags":1182,"stars":1174,"repoUrl":1175,"updatedAt":1195},"azure-ai-anomalydetector-java","build anomaly detection applications with Java","Build anomaly detection applications with Azure AI Anomaly Detector SDK for Java. Use when implementing univariate\u002Fmultivariate anomaly detection, time-series analysis, or AI-powered monitoring.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1183,1186,1187,1190,1193,1194],{"name":1184,"slug":1185,"type":15},"Analytics","analytics",{"name":17,"slug":18,"type":15},{"name":1188,"slug":1189,"type":15},"Data Analysis","data-analysis",{"name":1191,"slug":1192,"type":15},"Java","java",{"name":9,"slug":8,"type":15},{"name":1036,"slug":1037,"type":15},"2026-05-13T06:14:16.261754",{"slug":1197,"name":1197,"fn":1198,"description":1199,"org":1200,"tags":1201,"stars":1174,"repoUrl":1175,"updatedAt":1206},"azure-ai-contentsafety-java","build content moderation applications with Azure AI","Build content moderation applications with Azure AI Content Safety SDK for Java. Use when implementing text\u002Fimage analysis, blocklist management, or harm detection for hate, violence, sexual content, and self-harm.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1202,1203,1204,1205],{"name":1015,"slug":1016,"type":15},{"name":17,"slug":18,"type":15},{"name":1191,"slug":1192,"type":15},{"name":1079,"slug":1080,"type":15},"2026-07-07T06:53:31.293235",{"slug":1208,"name":1208,"fn":1209,"description":1210,"org":1211,"tags":1212,"stars":1174,"repoUrl":1175,"updatedAt":1221},"azure-ai-contentsafety-py","detect harmful content with Azure AI Content Safety","Azure AI Content Safety SDK for Python. Use for detecting harmful content in text and images with multi-severity classification.\nTriggers: \"azure-ai-contentsafety\", \"ContentSafetyClient\", \"content moderation\", \"harmful content\", \"text analysis\", \"image analysis\".\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1213,1214,1215,1216,1217,1220],{"name":17,"slug":18,"type":15},{"name":1110,"slug":1111,"type":15},{"name":1049,"slug":1050,"type":15},{"name":9,"slug":8,"type":15},{"name":1218,"slug":1219,"type":15},"Python","python",{"name":1079,"slug":1080,"type":15},"2026-07-18T05:14:23.017504",{"slug":1223,"name":1223,"fn":1224,"description":1225,"org":1226,"tags":1227,"stars":1174,"repoUrl":1175,"updatedAt":1232},"azure-ai-language-conversations-py","implement conversational language understanding with Python","Implement Conversational Language Understanding (CLU) using the azure-ai-language-conversations Python SDK. Use when working with ConversationAnalysisClient to analyze conversation intent and entities, building NLP features, or integrating language understanding into applications.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1228,1229,1230,1231],{"name":1184,"slug":1185,"type":15},{"name":17,"slug":18,"type":15},{"name":1049,"slug":1050,"type":15},{"name":1218,"slug":1219,"type":15},"2026-07-31T05:54:29.068751",{"slug":1234,"name":1234,"fn":1235,"description":1236,"org":1237,"tags":1238,"stars":1174,"repoUrl":1175,"updatedAt":1243},"azure-ai-translation-text-py","translate text using Azure AI services","Azure AI Text Translation SDK for real-time text translation, transliteration, language detection, and dictionary lookup. Use for translating text content in applications.\nTriggers: \"text translation\", \"translator\", \"translate text\", \"transliterate\", \"TextTranslationClient\".\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1239,1240,1241,1242],{"name":1069,"slug":1070,"type":15},{"name":17,"slug":18,"type":15},{"name":9,"slug":8,"type":15},{"name":1218,"slug":1219,"type":15},"2026-07-18T05:14:16.988376",{"slug":1245,"name":1245,"fn":1246,"description":1247,"org":1248,"tags":1249,"stars":1174,"repoUrl":1175,"updatedAt":1258},"azure-ai-vision-imageanalysis-py","analyze images with Azure AI Vision","Azure AI Vision Image Analysis SDK for captions, tags, objects, OCR, people detection, and smart cropping. Use for computer vision and image understanding tasks.\nTriggers: \"image analysis\", \"computer vision\", \"OCR\", \"object detection\", \"ImageAnalysisClient\", \"image caption\".\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1250,1251,1254,1257],{"name":17,"slug":18,"type":15},{"name":1252,"slug":1253,"type":15},"Computer Vision","computer-vision",{"name":1255,"slug":1256,"type":15},"Images","images",{"name":1218,"slug":1219,"type":15},"2026-07-18T05:14:18.007737",{"slug":1260,"name":1260,"fn":1261,"description":1262,"org":1263,"tags":1264,"stars":1174,"repoUrl":1175,"updatedAt":1273},"azure-appconfiguration-java","manage configuration with Azure App Configuration","Azure App Configuration SDK for Java. Centralized application configuration management with key-value settings, feature flags, and snapshots.\nTriggers: \"ConfigurationClient java\", \"app configuration java\", \"feature flag java\", \"configuration setting java\", \"azure config java\".\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1265,1266,1269,1272],{"name":17,"slug":18,"type":15},{"name":1267,"slug":1268,"type":15},"Configuration","configuration",{"name":1270,"slug":1271,"type":15},"Feature Flags","feature-flags",{"name":1191,"slug":1192,"type":15},"2026-07-03T16:32:01.278468",{"slug":1275,"name":1275,"fn":1276,"description":1277,"org":1278,"tags":1279,"stars":1174,"repoUrl":1175,"updatedAt":1292},"azure-cosmos-rust","build applications with Azure Cosmos DB","Azure Cosmos DB library for Rust (NoSQL API). Document CRUD, containers, and globally distributed data.\nTriggers: \"cosmos db rust\", \"CosmosClient rust\", \"document crud rust\", \"NoSQL rust\", \"partition key rust\".\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1280,1283,1286,1289],{"name":1281,"slug":1282,"type":15},"Cosmos DB","cosmos-db",{"name":1284,"slug":1285,"type":15},"Database","database",{"name":1287,"slug":1288,"type":15},"NoSQL","nosql",{"name":1290,"slug":1291,"type":15},"Rust","rust","2026-07-31T05:54:27.021432",{"slug":1294,"name":1294,"fn":1276,"description":1295,"org":1296,"tags":1297,"stars":1174,"repoUrl":1175,"updatedAt":1305},"azure-cosmos-ts","Azure Cosmos DB JavaScript\u002FTypeScript SDK (@azure\u002Fcosmos) for data plane operations. Use for CRUD operations on documents, queries, bulk operations, and container management. Triggers: \"Cosmos DB\", \"@azure\u002Fcosmos\", \"CosmosClient\", \"document CRUD\", \"NoSQL queries\", \"bulk operations\", \"partition key\", \"container.items\".\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1298,1299,1300,1301,1302],{"name":1281,"slug":1282,"type":15},{"name":1284,"slug":1285,"type":15},{"name":9,"slug":8,"type":15},{"name":1287,"slug":1288,"type":15},{"name":1303,"slug":1304,"type":15},"TypeScript","typescript","2026-07-03T16:31:19.368382",{"slug":1307,"name":1307,"fn":1308,"description":1309,"org":1310,"tags":1311,"stars":1174,"repoUrl":1175,"updatedAt":1317},"azure-data-tables-java","build table storage applications with Java","Build table storage applications with Azure Tables SDK for Java. Use when working with Azure Table Storage or Cosmos DB Table API for NoSQL key-value data, schemaless storage, or structured data at scale.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1312,1313,1314,1315,1316],{"name":17,"slug":18,"type":15},{"name":1281,"slug":1282,"type":15},{"name":1284,"slug":1285,"type":15},{"name":1191,"slug":1192,"type":15},{"name":1287,"slug":1288,"type":15},"2026-05-13T06:14:17.582229",267]