Updates

profile/docs/EnterpriseIntegration.md

@@ -16,52 +16,53 @@ const enterprise = new DataHive.Enterprise({
     complianceLevel: 'enterprise'
 });
 ```
+- **[DataHive SDK Documentation](./SDKDocumentation.md)**: Detailed instructions on how to use the SDK for various integrations.
 
 ### API Access Layers
-- **REST API**: Standard HTTP endpoints for data operations
-- **WebSocket**: Real-time data streaming and updates
-- **GraphQL**: Flexible data querying and aggregation
-- **RPC Nodes**: Direct blockchain interaction
+- **REST API**: Standard HTTP endpoints for data operations.
+- **WebSocket**: Real-time data streaming and updates.
+- **GraphQL**: Flexible data querying and aggregation.
+- **RPC Nodes**: Direct blockchain interaction via [DataHive RPC Nodes](./RPCNodes.md).
 
 ## System Requirements
 
 ### Infrastructure
-- Minimum 16GB RAM for node operation
-- 1TB storage for data processing
-- Enterprise-grade internet connectivity
-- Dedicated security infrastructure
+- Minimum 16GB RAM for node operation.
+- 1TB storage for data processing.
+- Enterprise-grade internet connectivity.
+- Dedicated security infrastructure (firewalls, VPNs, etc.).
 
 ### Network Requirements
-- Static IP address
-- Firewall configuration for DataHive protocols
-- SSL/TLS certificate implementation
-- VPN support (optional)
+- Static IP address.
+- Firewall configuration for DataHive protocols.
+- SSL/TLS certificate implementation for secure communication.
+- VPN support (optional but recommended for enhanced security).
 
 ## Integration Steps
 
 ### 1. Initial Setup
-- Complete enterprise verification
-- Generate API credentials
-- Configure network settings
-- Initialize token wallet
+- Complete enterprise verification via [Enterprise Verification Process](./EnterpriseVerification.md).
+- Generate API credentials from the [API Credential Portal](./APICredentials.md).
+- Configure network settings (firewalls, IP whitelisting).
+- Initialize token wallet using [Token Wallet Setup Guide](./TokenWalletSetup.md).
 
 ### 2. Technical Integration
-- Install DataHive SDK
-- Configure endpoints
-- Set up authentication
-- Implement error handling
+- Install DataHive SDK as per [SDK Installation Guide](./SDKInstallation.md).
+- Configure API endpoints (REST, WebSocket, GraphQL).
+- Set up authentication using [Authentication Guide](./AuthenticationGuide.md).
+- Implement error handling based on [Error Handling Best Practices](./ErrorHandling.md).
 
 ### 3. Data Operations Setup
-- Configure data streams
-- Set up encryption
-- Establish backup procedures
-- Initialize monitoring
+- Configure data streams for real-time or batch processing.
+- Set up encryption protocols using [Encryption Guide](./EncryptionGuide.md).
+- Establish backup procedures following [Backup Best Practices](./BackupBestPractices.md).
+- Initialize monitoring with [Monitoring Setup Guide](./MonitoringSetup.md).
 
 ### 4. Testing & Validation
-- Run integration tests
-- Validate data flows
-- Test security measures
-- Verify compliance
+- Run integration tests using the [Testing Framework](./TestingFramework.md).
+- Validate data flows between your systems and DataHive nodes.
+- Test security measures such as encryption and authentication.
+- Verify compliance with industry regulations via [Compliance Testing Guide](./ComplianceTestingGuide.md).
 
 ## Security Implementation
 
@@ -71,38 +72,40 @@ const enterprise = new DataHive.Enterprise({
 const secureAuth = new DataHive.Auth({
     privateKey: process.env.PRIVATE_KEY,
     publicKey: process.env.PUBLIC_KEY,
-    mfa: true
+    mfa: true // Enable multi-factor authentication for enhanced security
 });
 ```
+Refer to the [Authentication Best Practices](./AuthenticationBestPractices.md) for more details on securing your integration.
 
 ### Encryption
-- End-to-end encryption for data transfer
-- At-rest encryption for stored data
-- Key management system
-- Regular security audits
+- End-to-end encryption for all data transfers between your systems and DataHive nodes.
+- At-rest encryption for stored data using AES256 or equivalent standards.
+- Key management system integrated with your existing infrastructure ([Key Management Guide](./KeyManagementGuide.md)).
+- Schedule regular security audits as outlined in the [Security Audit Guide](./SecurityAuditGuide.md).
 
 ## Compliance Framework
 
 ### Automated Checks
-- GDPR compliance verification
-- CCPA requirements validation
-- Industry-specific regulations
-- Data sovereignty rules
-
+DataHive provides automated compliance checks to ensure that your operations adhere to global standards:
+
+- **GDPR compliance verification** via our built-in tools ([GDPR Compliance Guide](./GDPRComplianceGuide.md)).
+- **CCPA requirements validation** using our automated workflows ([CCPA Compliance Guide](./CCPAComplianceGuide.md)).
+- Support for industry-specific regulations (e.g., HIPAA, SOC2) through customizable modules ([Industry-Specific Compliance Guide](./IndustryComplianceGuide.md)).
+
 ### Audit Trail
-- Transaction logging
-- Access monitoring
-- Compliance reporting
-- Security incident tracking
-
+DataHive offers a robust audit trail system:
+  
+- Transaction logging across all data operations ([Transaction Logging Setup](./TransactionLoggingSetup.md)).
+- Access monitoring to track user activity within your enterprise environment ([Access Monitoring Guide](./AccessMonitoringGuide.md)).
+  
 ## Performance Optimization
 
 ### Resource Management
-- Load balancing configuration
-- Cache optimization
-- Connection pooling
-- Resource scaling
-
+To ensure optimal performance:
+  
+- Configure load balancing across multiple nodes ([Load Balancing Setup Guide](./LoadBalancingSetup.md)).
+- Optimize cache settings using our [Cache Optimization Guide](./CacheOptimizationGuide.md).
+  
 ### Monitoring
 ```javascript
 // Set up monitoring
@@ -112,58 +115,33 @@ const monitor = new DataHive.Monitor({
     reporting: 'hourly'
 });
 ```
+Refer to the [Monitoring Best Practices Guide](./MonitoringBestPractices.md) for more details on setting up alerts and performance metrics.
 
 ## Best Practices
 
 ### Data Operations
-- Implement batch processing for large datasets
-- Use compression for data transfer
-- Maintain data versioning
-- Regular backup procedures
-
+Follow these best practices to ensure efficient and secure data operations:
+  
+- Implement batch processing for large datasets ([Batch Processing Guide](./BatchProcessingGuide.md)).
+- Use compression techniques to optimize data transfers ([Data Compression Best Practices](./DataCompressionBestPractices.md)).
+  
 ### Security
-- Regular security audits
-- Key rotation schedule
-- Access control reviews
-- Incident response plan
-
+Maintain high levels of security by:
+  
+- Scheduling regular security audits ([Security Audit Schedule Template](./SecurityAuditScheduleTemplate.md)).
+- Rotating encryption keys periodically ([Key Rotation Schedule Guide](./KeyRotationScheduleGuide.md)).
+  
 ## Troubleshooting
 
-### Common Issues
-- Connection timeout resolution
-- Authentication errors
-- Data synchronization issues
-- Performance bottlenecks
-
-### Support Resources
-- Technical documentation
-- API reference guides
-- Community forums
-- Enterprise support portal
+### Common Issues & Resolutions
+
+1. **Connection Timeout**: Ensure that your firewall is configured correctly and that you have sufficient bandwidth allocated for node operations ([Firewall Configuration Guide](./FirewallConfigurationGuide.md)).
+2. **Authentication Errors**: Double-check your API credentials and ensure that multi-factor authentication is enabled ([MFA Troubleshooting Guide](./MFATroubleshootingGuide.md)).
 
 ## Integration Checklist
 
-- [ ] Complete enterprise verification
-- [ ] Generate API credentials
-- [ ] Install and configure SDK
-- [ ] Set up security measures
-- [ ] Implement compliance checks
-- [ ] Configure monitoring
-- [ ] Test integration
-- [ ] Deploy to production
-
-## Support Channels
-
-### Technical Support
-- Email: [email protected]
-- Support Portal: support.datahive.network
-- Emergency Line: Available 24/7
-
-### Documentation
-- [API Reference](./APIReference.md)
-- [Security Guide](./SecurityGuide.md)
-- [Compliance Documentation](./ComplianceGuide.md)
-- [Performance Tuning](./PerformanceTuning.md)
+Use this checklist to ensure a smooth integration process:
 
+- [ ] Complete enterprise verification via [Enterprise Verification Process](./EnterpriseVerificationProcess.md)
+
 For additional support or custom integration requirements, contact our enterprise solutions team.
-

profile/docs/RPCNodes.md

@@ -0,0 +1,130 @@
+# RPC Nodes in DataHive
+
+**RPC (Remote Procedure Call) Nodes** play a critical role in the DataHive ecosystem by enabling direct interaction with blockchain networks. These nodes allow enterprises, developers, and AI agents to execute transactions, query blockchain data, and interact with smart contracts in real-time. By leveraging RPC nodes, DataHive ensures seamless integration with decentralized networks while maintaining high levels of security and performance.
+
+## What Are RPC Nodes?
+
+RPC nodes are servers that process requests from clients (such as applications or users) to interact with the blockchain. They act as intermediaries between the client and the blockchain network, allowing users to:
+- Fetch data from the blockchain (e.g., account balances, transaction history).
+- Submit transactions (e.g., token transfers, contract executions).
+- Query smart contracts for real-time data.
+
+In the DataHive ecosystem, RPC nodes are optimized for high throughput and low latency to ensure that enterprises can perform critical operations without delays.
+
+## Key Features of DataHive RPC Nodes
+
+1. **High Availability**: 
+   - DataHive's RPC nodes are distributed across multiple regions to ensure uptime and reliability. Enterprises can rely on these nodes for mission-critical operations.
+
+2. **Low Latency**:
+   - Our RPC nodes are optimized for low-latency interactions, enabling real-time data querying and transaction submission without delays.
+
+3. **Secure Communication**:
+   - All communication between clients and RPC nodes is encrypted using SSL/TLS protocols to prevent unauthorized access or tampering.
+
+4. **Load Balancing**:
+   - Requests are automatically distributed across multiple nodes using load balancing techniques to prevent congestion and maintain optimal performance.
+
+5. **Multi-Chain Support**:
+   - DataHive RPC nodes support multiple blockchain networks (e.g., Ethereum, Binance Smart Chain) to enable cross-chain interactions and data operations.
+
+## How to Use DataHive RPC Nodes
+
+### 1. Accessing the RPC Endpoint
+
+To interact with a blockchain network through DataHive’s RPC nodes, you need to configure your application to point to the appropriate endpoint.
+
+```javascript
+// Example: Connecting to Ethereum Mainnet via DataHive RPC
+const Web3 = require('web3');
+const web3 = new Web3(new Web3.providers.HttpProvider('https://rpc.datahive.network/ethereum'));
+
+// Fetch account balance
+const balance = await web3.eth.getBalance('0xYourAccountAddress');
+console.log(`Balance: ${balance}`);
+```
+
+### 2. Supported Networks
+
+DataHive currently supports the following blockchain networks via its RPC nodes:
+- **Ethereum Mainnet**
+- **Binance Smart Chain**
+- **Polygon (Matic)**
+- **Avalanche**
+- **Fantom**
+
+For each network, you will need to configure your application with the appropriate endpoint URL provided by DataHive.
+
+### 3. Querying Blockchain Data
+
+You can use standard web3.js or ethers.js libraries to query blockchain data through DataHive’s RPC nodes. Some common use cases include:
+- Fetching account balances
+- Retrieving transaction history
+- Querying smart contract state
+- Submitting signed transactions
+
+```javascript
+// Example: Querying smart contract data
+const contract = new web3.eth.Contract(abiArray, '0xContractAddress');
+const result = await contract.methods.myMethod().call();
+console.log(result);
+```
+
+### 4. Submitting Transactions
+
+DataHive’s RPC nodes allow you to submit signed transactions directly to the blockchain. This is useful for tasks such as token transfers, interacting with smart contracts, or deploying new contracts.
+
+```javascript
+// Example: Submitting a signed transaction
+const signedTx = await web3.eth.accounts.signTransaction(txObject, privateKey);
+const receipt = await web3.eth.sendSignedTransaction(signedTx.rawTransaction);
+console.log(`Transaction Hash: ${receipt.transactionHash}`);
+```
+
+## Security Considerations
+
+### Authentication
+To access DataHive’s enterprise-grade RPC endpoints, you must authenticate using API keys provided during your account setup. This ensures that only authorized users can interact with the network.
+
+```javascript
+// Example: Including API key in requests
+const provider = new Web3.providers.HttpProvider('https://rpc.datahive.network/ethereum', {
+    headers: [
+        { name: 'Authorization', value: `Bearer ${process.env.DATAHIVE_API_KEY}` }
+    ]
+});
+const web3 = new Web3(provider);
+```
+
+### Rate Limiting
+To prevent abuse and ensure fair usage across all clients, DataHive imposes rate limits on its RPC endpoints. If you exceed these limits, you may experience throttling or temporary blocking of requests. Contact support if you require higher limits for enterprise use cases.
+
+### Encryption
+All communication between your application and DataHive’s RPC nodes is encrypted using industry-standard SSL/TLS protocols. This ensures that sensitive information such as private keys or transaction details are protected from interception.
+
+## Performance Optimization
+
+To maximize performance when interacting with DataHive’s RPC nodes:
+1. **Use Batch Requests**: When querying large amounts of data or submitting multiple transactions, use batch requests to reduce overhead.
+2. **Enable Caching**: Cache frequently accessed data locally to reduce redundant queries.
+3. **Monitor Latency**: Use monitoring tools like [DataHive Monitor](./MonitoringSetup.md) to track latency and optimize request times.
+4. **Leverage WebSocket Connections**: For real-time updates such as event subscriptions or live transaction tracking, use WebSocket connections instead of HTTP polling.
+
+## Troubleshooting Common Issues
+
+### Connection Timeouts
+If you encounter connection timeouts when interacting with an RPC node:
+- Ensure that your firewall settings allow outbound connections on port 443 (HTTPS).
+- Verify that your API key is valid and has not expired.
+
+### Rate Limiting Errors
+If you receive rate limiting errors (`429 Too Many Requests`):
+- Review your request patterns and reduce unnecessary queries.
+- Contact support if you require higher rate limits for enterprise applications.
+
+## Support Resources
+
+For additional help or custom integration requirements:
+- [Enterprise Support Portal](https://support.datahive.network)
+- [API Documentation](./APIReference.md)
+- [Performance Tuning Guide](./PerformanceTuning.md)