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ZIP herunterladen Herunterladen... Mehr aus diesem Repository Enterprise database architecture specialist with PostgreSQL 17, MySQL 8.4 LTS,
MongoDB 8.0, Redis 7.4 expertise. Master connection pooling, query optimization,
caching strategies, and database DevOps automation. Build scalable, resilient
database systems with comprehensive monitoring and disaster recovery.
Enterprise Frontend Development with AI-powered modern architecture, Context7 integration, and intelligent component orchestration for scalable user interfaces
Enterprise-grade security expertise with production-ready patterns for OWASP Top 10 2021, zero-trust architecture, threat modeling (STRIDE, PASTA), secure SDLC, DevSecOps automation, cloud security, cryptography, identity & access management, and compliance frameworks (SOC 2, ISO 27001, GDPR, CCPA).
Verwandte Berufe SOC
Basierend auf der SOC-Berufsklassifikation
name moai-baas-convex-ext version 4.0.0 created 2025-11-11T00:00:00.000Z updated 2025-11-13T00:00:00.000Z status stable description Enterprise Convex Real-Time Backend with AI-powered reactive database architecture, Context7 integration, and intelligent synchronization orchestration for collaborative applications keywords ["convex","realtime-backend","reactive-database","typescript","full-stack","synchronization","context7-integration","ai-orchestration","production-deployment"] allowed-tools ["Read","Bash","Write","Edit","Glob","Grep","WebFetch","mcp__context7__resolve-library-id","mcp__context7__get-library-docs"]
Enterprise Convex Real-Time Backend Expert v4.0.0
Skill Metadata
Field Value Skill Name moai-baas-convex-ext Version 4.0.0 (2025-11-13) Tier Enterprise Real-Time Backend Expert AI-Powered ✅ Context7 Integration, Intelligent Architecture Auto-load On demand when Convex keywords detected
What It Does
Enterprise Convex Real-Time Backend expert with AI-powered reactive database architecture, Context7 integration, and intelligent synchronization orchestration for collaborative applications.
Revolutionary v4.0.0 capabilities :
🤖 AI-Powered Convex Architecture using Context7 MCP for latest real-time patterns
📊 Intelligent Synchronization Orchestration with automated real-time optimization
🚀 Advanced TypeScript Integration with AI-driven type safety and performance
🔗 Enterprise Reactive Patterns with zero-configuration real-time workflows
📈 Predictive Performance Analytics with usage forecasting and optimization
When to Use
Automatic triggers :
Convex real-time backend architecture and synchronization discussions
Full-stack TypeScript application development with real-time features
Collaborative application design and real-time data management
Real-time database optimization and performance tuning
Manual invocation :
Designing enterprise Convex architectures with optimal real-time patterns
Implementing collaborative features and real-time synchronization
Planning migrations from traditional backends to Convex
Optimizing real-time performance and data consistency
Quick Reference (Level 1)
Convex Real-Time Backend Platform (November 2025)
Core Features Overview
Reactive Database : Automatic real-time synchronization across clientsType-Safe Backend : End-to-end TypeScript with compile-time guarantees
Serverless Functions : Backend functions with automatic scaling
Built-in Authentication : User management and access control
Real-time Subscriptions : Live data updates with automatic conflict resolution
Latest Features (November 2025)
Self-Hosted Convex : On-premises deployment with PostgreSQL supportDashboard for Self-Hosted : Management interface for self-hosted deploymentsOpen-Source Reactive Database : Community-driven developmentEnhanced TypeScript Support : Improved type inference and performance
Key Benefits
Zero Configuration : Automatic deployment and scalingType Safety : Compile-time error preventionReal-time by Default : Automatic synchronization without extra codeDeveloper Experience : Modern TypeScript tooling and debugging
Performance Characteristics
Real-time Sync : P95 < 100ms latencyFunction Execution : Sub-second cold startsAutomatic Scaling : Handles millions of concurrent usersConflict Resolution : Automatic merge and resolution strategies
Core Implementation (Level 2)
Convex Architecture Intelligence
class ConvexArchitectOptimizer :
def __init__ (self ):
self .context7_client = Context7Client()
self .typescript_analyzer = TypeScriptAnalyzer()
self .realtime_optimizer = RealtimeOptimizer()
async def design_optimal_convex_architecture (self,
requirements: ApplicationRequirements ) -> ConvexArchitecture:
"""Design optimal Convex architecture using AI analysis."""
convex_docs = await self .context7_client.get_library_docs(
context7_library_id='/convex/docs' ,
topic="real-time backend reactive database typescript optimization 2025" ,
tokens=3000
)
typescript_docs = await self .context7_client.get_library_docs(
context7_library_id='/typescript/docs' ,
topic="advanced types optimization performance 2025" ,
tokens=2000
)
realtime_design = self .realtime_optimizer.design_reactive_system(
requirements.realtime_needs,
convex_docs
)
typescript_optimization = self .typescript_analyzer.optimize_configuration(
requirements.typescript_features,
typescript_docs
)
return ConvexArchitecture(
schema_design=self ._design_schema(requirements),
function_architecture=self ._design_functions(requirements),
realtime_system=realtime_design,
typescript_configuration=typescript_optimization,
authentication_setup=self ._integrate_authentication(requirements),
deployment_strategy=self ._plan_deployment(requirements),
performance_predictions=realtime_design.predictions
)
Real-Time Schema Design
import { defineSchema, defineTable } from "convex/server" ;
import { v } from "convex/values" ;
export default defineSchema ({
users : defineTable ({
name : v.string (),
email : v.string (),
avatar : v.optional (v.string ()),
status : v.union (v.literal ("online" ), v.literal ("offline" ), v.literal ("away" )),
lastSeen : v.number (),
presence : v.optional (v.object ({
currentRoom : v.id ("rooms" ),
lastActivity : v.number (),
cursor : v.optional (v.object ({
x : v.number (),
y : v.number (),
})),
})),
})
.index ("by_email" , ["email" ])
.index ("by_status" , ["status" ]),
rooms : defineTable ({
name : v.string (),
description : v.optional (v.string ()),
type : v.union (v.literal ("document" ), v.literal ("whiteboard" ), v.literal ("chat" )),
createdBy : v.id ("users" ),
createdAt : v.number (),
isPublic : v.boolean (),
maxParticipants : v.optional (v.number ()),
})
.index ("by_created_by" , ["createdBy" ])
.index ("by_type" , ["type" ]),
documents : defineTable ({
title : v.string (),
content : v.optional (v.string ()),
roomId : v.id ("rooms" ),
createdBy : v.id ("users" ),
createdAt : v.number (),
updatedAt : v.number (),
version : v.number (),
isLocked : v.boolean (),
lockedBy : v.optional (v.id ("users" )),
})
.index ("by_room" , ["roomId" ])
.index ("by_updated_at" , ["updatedAt" ]),
messages : defineTable ({
content : v.string (),
author : v.id ("users" ),
roomId : v.id ("rooms" ),
timestamp : v.number (),
type : v.union (v.literal ("text" ), v.literal ("system" ), v.literal ("file" )),
metadata : v.optional (v.any ()),
})
.index ("by_room_timestamp" , ["roomId" , "timestamp" ])
.index ("by_author" , ["author" ]),
});
Real-Time Function Implementation
import { mutation, query, action } from "./_generated/server" ;
import { v } from "convex/values" ;
export const updatePresence = mutation ({
args : {
status : v.union (v.literal ("online" ), v.literal ("offline" ), v.literal ("away" )),
currentRoom : v.optional (v.id ("rooms" )),
cursor : v.optional (v.object ({ x : v.number (), y : v.number () })),
},
handler : async (ctx, args) => {
const identity = await ctx.auth .getUserIdentity ();
if (!identity) throw new Error ("Unauthorized" );
const user = await ctx.db
.query ("users" )
.withIndex ("by_email" , (q ) => q.eq ("email" , identity.email !))
.unique ();
if (!user) throw new Error ("User not found" );
const updateData : any = {
status : args.status ,
lastSeen : Date .now (),
};
if (args.currentRoom || args.cursor ) {
updateData.presence = {
currentRoom : args.currentRoom ,
lastActivity : Date .now (),
cursor : args.cursor ,
};
}
await ctx.db .patch (user._id , updateData);
return user._id ;
},
});
export const updateDocument = mutation ({
args : {
documentId : v.id ("documents" ),
content : v.string (),
version : v.number (),
},
handler : async (ctx, args) => {
const identity = await ctx.auth .getUserIdentity ();
if (!identity) throw new Error ("Unauthorized" );
const document = await ctx.db .get (args.documentId );
if (!document ) throw new Error ("Document not found" );
if (document .isLocked && document .lockedBy !== document .createdBy ) {
throw new Error ("Document is locked by another user" );
}
if (document .version !== args.version ) {
throw new Error ("Version conflict - document was modified" );
}
const updatedDocument = await ctx.db .patch (args.documentId , {
content : args.content ,
updatedAt : Date .now (),
version : args.version + 1 ,
});
await ctx.scheduler .runAfter (0 , internal.notifications .notifyDocumentUpdate , {
documentId : args.documentId ,
roomId : document .roomId ,
updatedBy : document .createdBy ,
});
return updatedDocument;
},
});
export const getRoomActivity = query ({
args : { roomId : v.id ("rooms" ) },
handler : async (ctx, args) => {
const room = await ctx.db .get (args.roomId );
if (!room || !room.isPublic ) throw new Error ("Room not accessible" );
const [messages, activeUsers] = await Promise .all ([
ctx.db
.query ("messages" )
.withIndex ("by_room_timestamp" , (q ) =>
q.eq ("roomId" , args.roomId ).order ("desc" ).take (50 )
),
ctx.db
.query ("users" )
.withIndex ("by_status" , (q ) => q.eq ("status" , "online" ))
.collect ()
.then (users =>filter (user =>presence ?.currentRoom === args.roomId
)),
]);
return {
messages,
activeUsers : activeUsers.map (user =>id : user._id ,
name : user.name ,
avatar : user.avatar ,
presence : user.presence ,
})),
};
},
});
Advanced Implementation (Level 3)
Advanced Real-Time Patterns
export const applyEdit = mutation ({
args : {
documentId : v.id ("documents" ),
operation : v.object ({
type : v.union (v.literal ("insert" ), v.literal ("delete" ), v.literal ("replace" )),
position : v.number (),
content : v.optional (v.string ()),
length : v.optional (v.number ()),
}),
clientVersion : v.number (),
},
handler : async (ctx, args) => {
const document = await ctx.db .get (args.documentId );
if (!document ) throw new Error ("Document not found" );
const transformedOp = await transformOperation (
args.operation ,
document .pendingOperations || []
);
const newContent = applyOperation (document .content || "" , transformedOp);
await ctx.db .patch (args.documentId , {
content : newContent,
updatedAt : Date .now (),
version : document .version + 1 ,
pendingOperations : [],
});
await ctx.scheduler .runAfter (0 , internal.realtime .broadcastOperation , {
documentId : args.documentId ,
operation : transformedOp,
author : args.operation .author ,
});
return { success : true , newVersion : document .version + 1 };
},
});
export const updateCursor = mutation ({
args : {
roomId : v.id ("rooms" ),
cursor : v.object ({ x : v.number (), y : v.number () }),
},
handler : async (ctx, args) => {
const identity = await ctx.auth .getUserIdentity ();
if (!identity) throw new Error ("Unauthorized" );
const user = await ctx.db
.query ("users" )
.withIndex ("by_email" , (q ) => q.eq ("email" , identity.email !))
.unique ();
if (!user) throw new Error ("User not found" );
await ctx.db .patch (user._id , {
presence : {
currentRoom : args.roomId ,
lastActivity : Date .now (),
cursor : args.cursor ,
},
});
await ctx.scheduler .runAfter (0 , internal.realtime .broadcastCursor , {
roomId : args.roomId ,
userId : user._id ,
cursor : args.cursor ,
});
return { success : true };
},
});
Self-Hosting Configuration
import { ConvexHttpClient } from "convex/browser" ;
export class SelfHostedConvex {
private client : ConvexHttpClient ;
private postgresConfig : PostgresConfig ;
constructor (config : SelfHostedConfig this .client = new ConvexHttpClient (config.convexUrl );
this .postgresConfig = config.postgres ;
}
async initialize (): Promise <void > {
await this .configurePostgresPersistence ();
await this .configureReplication ();
await this .setupMonitoring ();
}
private async configurePostgresPersistence (): Promise <void > {
const persistenceConfig = {
host : this .postgresConfig .host ,
port : this .postgresConfig .port ,
database : this .postgresConfig .database ,
username : this .postgresConfig .username ,
password : this .postgresConfig .password ,
ssl : this .postgresConfig .ssl ,
poolSize : 20 ,
connectionTimeout : 5000 ,
statementTimeout : 10000 ,
replicationMode : "streaming" ,
walLevel : "logical" ,
maxWalSenders : 5 ,
};
await this .client .action (internal.persistence .configure , persistenceConfig);
}
async configureMultiRegion (deploymentConfig : MultiRegionConfig ): Promise <void > {
const regions = [
{ name : "us-east-1" , primary : true },
{ name : "eu-west-1" , primary : false },
{ name : "ap-southeast-1" , primary : false },
];
for (const region of regions) {
await this .deployRegion (region, deploymentConfig);
}
await this .setupCrossRegionReplication (regions);
}
}
Performance Optimization
export class ConvexPerformanceOptimizer {
static async batchUpdates<T>(
updates : Array <{ id : Id <any >; data : Partial <T> }>,
batch : any
): Promise <void > {
const BATCH_SIZE = 100 ;
for (let i = 0 ; i < updates.length ; i += BATCH_SIZE ) {
const batchUpdates = updates.slice (i, i + BATCH_SIZE );
await batch.run (async (ctx) => {
const promises = batchUpdates.map (({ id, data } ) =>
ctx.db .patch (id, data)
);
await Promise .all (promises);
});
}
}
static optimizeRealtimeSubscriptions (
roomId : Id <"rooms" >,
userId : Id <"users" >,
subscriptionFilters : SubscriptionFilters
) {
return {
messages : subscriptionFilters.includeMessages
? q =>eq ("roomId" , roomId).gte ("timestamp" , subscriptionFilters.since )
: null ,
users : subscriptionFilters.trackPresence
? q =>eq ("status" , "online" ).eq ("presence.currentRoom" , roomId)
: null ,
documents : subscriptionFilters.trackDocumentChanges
? q =>eq ("roomId" , roomId).gt ("updatedAt" , subscriptionFilters.lastSeen )
: null ,
};
}
}
Reference & Integration (Level 4)
API Reference
Core Convex Operations
defineSchema(schemaDefinition) - Define database schemamutation({...}) - Define data mutation functionquery({...}) - Define data query functionaction({...}) - Define server action functionscheduler.runAfter(delay, function, args) - Schedule delayed execution
Context7 Integration
get_latest_convex_documentation() - Official Convex docs via Context7analyze_realtime_patterns() - Real-time architecture via Context7optimize_typescript_configuration() - TypeScript optimization via Context7
Best Practices (November 2025)
DO
Use TypeScript for type safety and better development experience
Implement proper authentication and authorization checks
Optimize real-time subscriptions with smart filtering
Use batching for bulk operations to improve performance
Implement proper error handling and retry logic
Monitor real-time performance and optimize bottlenecks
Use self-hosting for compliance and data residency requirements
Implement comprehensive testing for real-time features
DON'T
Skip authentication checks in functions
Create overly complex schemas that impact performance
Ignore real-time subscription costs and optimization
Forget to handle version conflicts in collaborative editing
Skip proper error handling for network issues
Neglect monitoring and performance optimization
Overuse real-time features where they're not needed
Ignore security considerations for self-hosted deployments
Works Well With
moai-baas-foundation (Enterprise BaaS architecture patterns)moai-domain-backend (Backend development patterns)moai-domain-frontend (Frontend integration with Convex)moai-essentials-perf (Performance optimization)moai-foundation-trust (Security and authentication)moai-baas-supabase-ext (PostgreSQL alternative comparison)moai-baas-firebase-ext (Real-time alternative comparison)moai-domain-ml (Real-time ML integration)
Changelog
v4.0.0 (2025-11-13): Complete Enterprise v4.0 rewrite with 40% content reduction, 4-layer Progressive Disclosure structure, Context7 integration, November 2025 Convex platform updates, and self-hosting configurationv2.0.0 (2025-11-11): Complete metadata structure, real-time patterns, TypeScript integrationv1.0.0 (2025-11-11): Initial Convex real-time backend platform
End of Skill | Updated 2025-11-13
Security & Compliance
Authentication & Authorization
Built-in user authentication with OAuth providers
Fine-grained access control with role-based permissions
Secure real-time communication with encrypted channels
Comprehensive audit logging and monitoring
Data Protection
End-to-end encryption for sensitive data
GDPR compliance with data portability features
Self-hosting options for data residency requirements
Automated security updates and vulnerability management
End of Enterprise Convex Real-Time Backend Expert v4.0.0
