Guides
These guides provide in-depth coverage of specific CredVault features. Each guide explains the concepts, walks through common use cases, and offers best practices for production use.
Database and Data Management
Working with Clusters
Your database clusters are the foundation of your CredVault implementation. Learn how to create clusters for different environments, configure them for your workload, and monitor their health. Understand the tradeoffs between cluster tiers and when to scale.
Data Modeling
Effective data modeling is key to application performance. Learn how to structure your documents, when to embed related data versus reference it, and how to design for your query patterns. Understand the balance between read optimization and write efficiency.
Querying Data
Master the query language to retrieve exactly the data you need. Learn to filter by field values, query nested documents, match array elements, and combine conditions. Understand how indexes affect query performance.
Indexing Strategies
Indexes accelerate your queries but require careful planning. Learn which fields to index based on your query patterns, how to analyze query performance, and when compound indexes provide benefit. Avoid common pitfalls that lead to slow operations.
Automation and Integration
Webhooks
Keep your systems synchronized with real-time notifications. Learn to configure webhooks, secure your endpoints with signature verification, and handle delivery failures. Build event-driven architectures that respond instantly to data changes.
Serverless Functions
Extend the platform with custom logic. Learn to write functions that respond to database events, expose custom APIs, or run on schedules. Understand the execution environment, limitations, and best practices for reliable function development.
Database Triggers
Automate workflows in response to data changes. Learn to create triggers that validate data, maintain derived values, or propagate changes. Understand when triggers are appropriate versus other automation approaches.
Machine Learning with CIE
Introduction to the Intelligence Engine
The CredVault Intelligence Engine (CIE) brings machine learning to your data. Learn about supported model types, the training workflow, and deployment options. Understand how CIE fits into your data science workflow.
Training Your First Model
Walk through the complete process of training a model. Prepare your dataset, configure training parameters, monitor progress, and evaluate results. Learn to iterate effectively toward better model performance.
Deploying and Using Models
Once trained, deploy your models for production use. Learn about deployment options, how to run predictions, and how to monitor model performance over time. Understand when to retrain and update models.
Security and Compliance
Authentication Best Practices
Secure access to your resources with proper authentication. Learn about API key management, token handling, and user session security. Understand common vulnerabilities and how to avoid them.
Access Control
Control who can access what. Learn about permission models, role-based access control, and resource-level policies. Implement the principle of least privilege for your team and applications.
Audit Logging
Maintain visibility into platform activity. Learn to use activity logs for security monitoring, compliance reporting, and debugging. Understand retention policies and log export options.
Operations
Backup and Recovery
Protect your data against loss. Learn about automatic backup schedules, manual backup creation, and the restoration process. Plan for disaster recovery scenarios.
Monitoring and Alerting
Keep your applications healthy with proactive monitoring. Learn to interpret platform metrics, set up alerts for important conditions, and troubleshoot common issues.
Scaling Your Application
As your application grows, scale with confidence. Learn when to upgrade cluster tiers, how to optimize for high throughput, and strategies for handling traffic spikes.
Coming Soon
We're continuously adding new guides. Topics in development include:
- Advanced query techniques and aggregations
- Multi-region deployments
- Integration patterns with popular frameworks
- Performance optimization deep-dives
Check back regularly for new content, or subscribe to our blog for announcements.