Release 2.2.0 (Build 2283)

Release Date: December 31, 2024

What's New in This Update?

Here's an explanation of the new feature and bug fixes for the AI-DBA product:

1. Tag Management: Easily manage and search for enrolled servers with user-defined tags, improving resource management.
2. Query Templates: Access a variety of pre-defined query templates for administration, security, performance, and maintenance. Save queries as templates within your subscription or share them globally with other users.
3. Enhanced Security: Whitelist specific user access through designated IP addresses for added security.
4. Data Profiling: Analyze and gain insights from existing data with the new data management and profiling feature.
5. Improved Performance Insight: Detect and resolve query blocks with dynamic visual enhancements for a better performance monitoring experience.

These feature enhancements aim to enhance usability, performance monitoring, proactive issue resolution, data security analysis, and query optimization, providing users with a more powerful and efficient AI-DBA experience.

Release 1.8.0 (Build 1800)

Release Date: February 14, 2024

What's New in This Update?

Here's an explanation of the new feature and bug fixes for the AI-DBA product:

1. Backup and Recovery: This new feature allows users to perform database backups and recoveries directly through the portal. It simplifies the process of safeguarding and restoring databases, providing users with a seamless and intuitive experience when managing their database backups and recoveries. It supports local storage, Azure blob storage, and remote server storage.
   
2. Backup verification in the documentation: This enhancement adds the functionality to export backup verification results into the documentation. Users can now easily access and review the backup verification results, providing them with a comprehensive record of the backup status and ensuring data integrity.
   
3. Engagement: This new feature allows users to engage the services of a support engineer at a flat rate per support session or for a specified period for project based works. Users can get an expert assistance to troubleshoot or implement SQL Server projects, ensuring timely and efficient solutions to any database issues they may encounter.
   
4. Subscriptions and payment methods: This new feature enables users to manage their subscriptions within the AI-DBA product. Users can review invoices, manage payment methods, and access cost forecasts, providing a convenient and transparent way to handle their subscription details.
5. User Sign-Up: The User Sign-up Process now features a user-friendly interface, designed to provide a smooth and effortless sign-up experience. Users will be guided through each step, making it easier than ever to create an account.

Fixed Issues:

1. Data Gateway service unable to start: this bug was related to permissions on the service assemblies to reference KERNELBASE.DLL file located in C:\Windows\System32.

Release 1.6.0 (Build 1600)

Release Date: November 05, 2023

What's New in This Update?

 Here are the explanations of the new features for the AI-DBA product:

1. Descriptive database insight via OpenAI: This feature utilizes OpenAI technology to generate in-depth insights for hosted databases. By analyzing the database structure, schema, and data patterns, it provides valuable information to database administrators. These insights help DBAs make informed decisions about performance optimization, data management, and security measures.
2. Move and copy databases to another server: With this feature, DBAs can effortlessly transfer or duplicate databases to another server with minimal effort. This simplifies the process of database migration or replication, allowing DBAs to efficiently manage and distribute databases across different servers as per their requirements.
   
3. Exclude databases from telemetry data and recommendation service: This feature allows DBAs to exclude specific databases from the telemetry data and recommendation service. By doing so, DBAs can ensure the privacy and confidentiality of sensitive databases or those with special requirements. These excluded databases will not be considered for data analysis or AI-generated recommendations.
4. Recommendation script explanation by AI: With this feature, every recommendation provided by the AI is explained in a clear and concise manner. This helps DBAs understand the reasoning behind each recommendation and addresses any doubts or questions they may have about the recommended scripts. This enhances the transparency and confidence in implementing the recommended actions.
   
5. Generate documents based on specific topics and health check periods: This feature enables DBAs to generate comprehensive documents and benchmarks for specific topics or defined health check periods. DBAs can specify the areas they want to focus on and the desired scan period. The AI-DBA system then generates insightful reports and benchmarks that assist in database performance monitoring, capacity planning, and maintenance tasks.
6. Database snapshot directly from the new portal: This feature allows DBAs to create database snapshots directly through the new portal. With just a few clicks, DBAs can capture a point-in-time snapshot of a database, providing a backup or recovery option in case of any issues. This simplifies the process and ensures the availability of reliable snapshots when needed.
   
7. Database insight in documentation: As part of this feature, the database insights are integrated into the documentation. This means that DBAs can access relevant database insights directly from the documentation, making it convenient and efficient to access the necessary information when managing and maintaining databases.
   
   These new features enhance the capabilities of the AI-DBA product, providing DBAs with advanced tools and functionalities to streamline database management, optimize performance, and make informed decisions.