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Monitor, manage and resolve performance issues across your infrastructure

Optimise performance across your databases and virtual infrastructure

Go beyond basic performance monitoring with Foglight to quickly identify and resolve performance issues across your databases and virtual environments. Foglight products easily integrate with your existing tools, so you can monitor and analyze data from almost any source across your infrastructure and view it through a single interface. And with our fully customisable dashboards, you’re able to zero in on what matters most to your organisation and view data in ways that are relevant to your business, giving you the visibility you need while boosting overall productivity.

With Foglight, you’re able to proactively detect, monitor, manage and resolve performance issues before they impact the business.

Performance management for the hybrid data center

Optimise the configuration, performance and utilisation of your cloud, hypervisors, VMs and storage, and gain end-to-everything visibility across your hybrid infrastructure. Leverage real-time and historical data, as well as reporting capabilities, to inform your decision making and get critical insights into your future capacity needs. Automate, optimize, monitor and forecast capacity for VMware, Hyper-V, Azure, AWS and physical servers.

Comprehensive database monitoring and automated diagnostics

Ensure optimal database performance with comprehensive database, storage and virtualisation monitoring and advanced workload analytics. Foglight for Databases enables you to consolidate and standardise database performance monitoring across your diverse multi-platform environments – even when you use native or third-party tools — to promote collaboration, improve service levels and reduce costs. Get a wealth of information at a fraction of the impact of conventional collection methods, which means you spend less time fighting database fires and more time improving the customer experience.

Foglight for Databases supports :

  • Oracle

  • Microsoft SQL Server

  • IBM DB2


  • PostgreSQL

  • MongoDB

  • Cassandra

  • MySQL