Automatic Upgrades in Core dna
Automatic upgrades are a way to ensure your Core dna system is always running with the latest features and improvements without manual intervention. With automatic upgrades, your team can focus on more important tasks as your system is automatically kept up-to-date.
How Automatic Upgrades Work with Core dna
In Core dna, automatic upgrades are seamlessly integrated into the platform to ensure that marketers and developers alike benefit from the latest technology and security enhancements. The automatic upgrade feature works in the background, evaluating the system for available updates and integrating them in a way that minimizes downtime and disruptions.
Core dna utilizes a centralized update management system that checks for updates periodically. When new updates are available, the system intelligently schedules the upgrades, taking into account your website’s peak traffic times and allowing for maximum flexibility.
Key Features
- Minimal Downtime: Upgrades are scheduled and implemented during off-peak hours.
- Security: Automatically integrates the latest security patches to protect your data.
- Seamless Integration: All updates are tested to ensure compliance with existing customizations.
- Notification System: Alerts and notifications are sent before and after upgrades for complete transparency.
Summary of Specifications
| Feature | Description |
|---|---|
| Self-Scheduling | Utilizes AI to determine the best times for updates |
| Rollback Capabilities | Easy rollback if any issues occur with new updates |
| User Notifications | Email alerts before and after upgrade processes |
| Compliance Testing | Ensures updates meet existing customization standards |
Practical Use Case
Consider a retailer utilizing Core dna for their e-commerce website, relying heavily on the platform’s modules for transaction handling and customer management. With automatic upgrades, the retailer can seamlessly benefit from the latest e-commerce features, enhanced security, and improved performance without having to manually apply upgrades. This ensures that the retailer's site remains competitive and secure while the marketing team can focus on improving customer experiences, driven by the platform’s latest capabilities.
An implementation example involves the integration of the latest AI-based product recommendation engine automatically deployed during a scheduled upgrade. The automatic upgrade ensures that the recommendation engine is seamlessly integrated without affecting existing product data or customer interactions, enhancing the shopping experience with minimal interference.