Foglight for Databases

Foglight® for Databases gives DBAs full visibility over all their database platforms, allowing them to quickly diagnose and resolve issues from a single console. It supports various platforms, including cloud and on-premises databases, making it a cost-effective option for current and future needs. Ensure uptime across all database investments for business success with Foglight for Databases.
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Use Foglight for Databases to proactively monitor the health and performance of all your database platforms. DBAs gain unprecedented visibility and can diagnose and resolve emerging issues from one easy-to-use console to prevent business interruption. With support for a wide range of platforms, including cloud and on-premises databases, you get cost-effective monitoring software for your current and future needs.

Key Benefits:

  • Get a global view of all platforms and quickly take action on critical issues
  • Benefit from built-in intelligence for easy understanding of enterprise health and activity, with pop-up advice and correlated workflows
  • Receive alerts when activity deviates from adaptive baselines of normal metrics
  • Access rich historical data for diagnostics and alarm data from any drill-down screen
  • Create customized views and reports easily with drag-and-drop reporting using collected data
  • Investigate workload by drilling into data on users, programs, SQL, and sessions with SQL workload analytics
  • Resolve concurrency issues with historical reviews of blocking-lock scenarios using historical lock analysis
  • Track changes to server, instance, database, and schema environments and SQL degradations automatically.

Supported platforms: Foglight provides efficient monitoring, prediction, diagnosis, and resolution of database performance issues regardless of the database platform you use. It offers comprehensive support for various cloud databases such as Amazon RDS, Azure SQL DB (single/elastic pools), Azure SQL Managed Instance, and others.

  • Oracle
  • SQL Server
  • MySQL
  • PostgreSQL
  • DB2
  • SAP ASE
  • MongoDB
  • Cassandra
  • Redis
  • Azure SQL Databases
  • Snowflake