Insights is the analysis layer that turns collected environment data into clear, actionable recommendations. It reviews real usage, performance, and configuration data and highlights where changes can reduce cost, improve performance, or simplify the environment.
Insights does not make changes automatically. It provides evidence-based recommendations that operators can review and act on.
Types of recommendations
Upsize
Recommended when a resource is consistently constrained.
Typical triggers include high CPU utilization, memory pressure, storage latency, or sustained performance bottlenecks.
Goal: restore performance and stability by allocating more capacity.
Downsize
Recommended when a resource is consistently underutilized.
Common indicators include low CPU usage, excess memory allocation, or oversized storage.
Goal: reduce cost without impacting performance.
Resize
Recommended when the balance of resources is incorrect.
For example, too much CPU but not enough memory, or the reverse.
Goal: right-size the resource mix rather than simply adding or removing capacity.
Decommission
Recommended when a resource appears unused or no longer required.
Indicators include powered-off systems.
Goal: eliminate unnecessary resources to reduce cost, risk, and operational overhead.
Custom thresholds
Insights recommendations are driven by thresholds that define what is considered overutilized, underutilized, or unused. These thresholds are configurable. Only the user who created the IT Environment can adjust these thresholds. They are managed from the settings cog within the IT Environment. Workspace users cannot modify thresholds. They can view Insights and the resulting recommendations, but any changes to threshold values must be made by the IT Environment owner.