Metis now offers a "Schema Suggestion" feature that analyzes query plans and utilizes HypoPG to simulate hypothetical indexes. This advanced tool provides detailed recommendations on beneficial indexes to add, along with expected cost differences for each query after index implementation.
Metis has upgraded its schema presentation feature, now utilizing React Flow for an interactive, user-friendly interface. Users can click on any table within the schema to access detailed activity data and insights, enhancing usability and functionality.
Metis now offers advanced insights into database indexes, identifying duplicate indexes and mismatched data types between foreign keys (FK) and primary keys (PK). This feature enhances database efficiency and integrity by ensuring optimal index configuration.
Seamlessly collect and visualize your database schemas and their relationships directly in our user interface. This new feature automatically gathers DDL (Data Definition Language) from your database, offering a comprehensive visual representation of your schema, making it easier to understand and manage database structures.
Metis now includes a "Schema Change Log" feature, which systematically records all modifications made to your database schema and displays them in our user interface, organized by date. This new functionality provides a detailed chronological record of schema changes, facilitating easier tracking and management of database evolution.
Metis now features "AI Advice," a sophisticated tool that analyzes user queries and their execution plans, generates alternative query options, and validates these against the user's database for efficiency and cost. This feature provides users with multiple optimized query options along with detailed cost comparisons, empowering them to select the most efficient approach.
Metis introduces "Generic Plan Collection," a feature designed to capture all user execution plans, including those executed via ORM tools or as prepared statements without parameters. This functionality ensures comprehensive tracking and analysis of all database interactions.
This feature automatically generates a visual chart displaying the metric that triggered the alert, such as the average CPU usage over the past 15 minutes. These charts provide users with clear, visual context to understand precisely why an alert was triggered, enhancing their ability to diagnose and respond to incidents more effectively.
Introducing the Alert Context feature, designed to revolutionize how you respond to system alerts. This new functionality provides a comprehensive context for each alert, detailing relevant data and suggested remediation steps. For example, if a CPU alert is triggered, the system not only identifies slow queries during that period but also offers a remediation plan to tackle the issue effectively. Enhance your response capabilities with actionable insights directly linked to specific alerts.w
Introducing Table-Level Alert Rules in Metis: Create customizable alerts based on table size, row count, and read/write metrics to proactively manage your database health