Quest Software has introduced new capabilities for Foglight Evolve and Foglight Performance Investigator for Microsoft Azure SQL Database to enable customers to modernize and manage their data operations as they migrate workloads to the cloud. With the latest enhancements, including market-differentiated support for the most popular databases, virtual infrastructure, and cloud platforms such as Google Cloud and IBM Cloud, Foglight cements its status as the broadest and deepest performance monitoring and optimization solution for the hybrid enterprise. This allows customers to determine which workloads can and should be migrated to the cloud and what target service tiers are required, providing customers with flexibility wherever they are on their cloud journey. The Foglight solutions, a fundamental components of Quest’s recently unified Information Systems Management (ISM) portfolio, now combine to offer organizations the ability to perform even more comprehensive in-depth analysis and investigation of database activity and resource consumption available.

Organizations today are offered a myriad of public cloud and private cloud options, and moving data and workloads to the cloud is a trend that is even expected to speed up post-pandemic, according to Gartner. As IT environments grow increasingly complex, it is important that businesses take a proactive approach to planning and managing cloud adoption and the migration to heterogeneous databases to avoid loss of control across costs and critical service levels expected by their customers residing both inside and outside the organization.

Quest is addressing this challenge through major product enhancements in its Foglight solution line that help businesses achieve the modern needs of IT. To meet the increasing demand for Google Cloud Platform (GCP) monitoring and optimization, Quest has expanded its cloud coverage by adding full GCP support in Foglight Evolve 9.3. Additionally, to address the increased focus on Infrastructure-as-Code, Foglight Evolve introduced a comprehensive and simple workload and cost management tool for Kubernetes environments.

To increase visibility, Foglight for Databases released new powerful functionalities to its most popular feature,  Performance Investigator (PI) for Azure SQL Database. The unique analysis toolset for database professionals is now available for Azure SQL Single database and Elastic Pools, and provides deep visibility into complex database performance challenges. The multidimensional analysis enables users to drill down, slice and dice workload data, and get a clear view into performance bottlenecks. Another key benefit of the enhanced PI feature is the ability to see how the actual workload compares with the automated Foglight baseline range, which is based on a smart machine learning technique that defines the expected workload behavior at different time periods.

“Data is at the heart of digital transformation, and as businesses continue their shift to the cloud, there is a need to modernize the management of that data. Ensuring a deep level of performance monitoring for the breadth of the hybrid environment is imperative to detecting and solving key challenges for our customers,“ said Heath Thompson, president and GM of ISM for Quest Software. “Only those hybrid operation strategies can actually result in gaining a competitive advantage for businesses that have detailed visibility into the execution, service level maintenance, and the ability to control costs while overcoming IT skills gaps. Our reimagined Foglight solution line gives unparalleled visibility into database and hybrid infrastructure performance and cost optimizations that enables high performance of critical systems to empower the data driven enterprise.“