Foglight for Oracle (Cartridge) 5.7.5.35 - Release Notes

Foglight for Oracle 5.7.5.35 Release Notes

Foglight™ for Oracle 5.7.5.35

Developed for Foglight Management Server 5.6.11

Release Notes

January 2017



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Contents

Contents

Welcome to Foglight for Oracle

New in this release

Resolved issues and enhancements

Known issues

Third party known issues

Upgrade and compatibility

System requirements

Troubleshooting

Product licensing

Getting started with Foglight for Oracle

About Us

 



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Welcome to Foglight for Oracle

Welcome to Foglight for Oracle

Foglight™ for Oracle allows database administrators (DBAs) to quickly and efficiently identify performance deviations, determine their root cause, perform comprehensive analyses, and resolve performance bottlenecks. This product provides web-enabled dashboards for centralized visibility, management and health checks for the Oracle instances deployed in your environment, as well as proactive alerting and alarm workflows for tracking your responses to critical performance anomalies.

Foglight for Oracle is an n-tier application, which leverages a web-based user interface to ensure having complete visibility into the Oracle infrastructure wherever an Internet connection is available.

This version of Foglight for Oracle is integrated with SQL Performance Investigator.

These Release Notes cover the resolved issues, known issues, workarounds and other important information about 5.7.5.35 release of Foglight for Oracle. Review all sections before starting installation. 

 



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New in this release

New in this release

Version 5.7.5.35 contains the following new features and updates:

  • Add support for Cassandra and MongoDB in the database global view.
  • Provide Performance Investigator (PI) Advisories - Seamlessly, fully automated engine that continually analyzes application performance to identify performance inefficiencies. All advisories were developed by Oracle performance tuning experts and have the following characteristics: 
    • Detect and diagnose performance degradations, then provide steps to resolve them.
    • Incorporate wait event analysis to focus only on significant issues affecting database performance.
    • Evaluate empirical performance data to deliver both individual alerts and a coherent, step-by-step action plan to maximize database performance.
    • Guide the user through problem resolution strategies using context sensitive explanations, supporting analytic data and a comprehensive Oracle knowledge base.
  • Provide PI automated Highlights for fast performance analysis, to allow focus on the most significant dimensions that were relevant for the resource selected in the analyzed timeframe.

 



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