diff --git a/plugins/cost-insights/src/components/ProjectGrowthInstructionsPage/ProjectGrowthInstructionsPage.tsx b/plugins/cost-insights/src/components/ProjectGrowthInstructionsPage/ProjectGrowthInstructionsPage.tsx index 4fcc34c87f..dcd33a02e8 100644 --- a/plugins/cost-insights/src/components/ProjectGrowthInstructionsPage/ProjectGrowthInstructionsPage.tsx +++ b/plugins/cost-insights/src/components/ProjectGrowthInstructionsPage/ProjectGrowthInstructionsPage.tsx @@ -101,7 +101,7 @@ export const ProjectGrowthInstructionsPage = () => { Investigating cloud cost growth Cost Insights shows an alert when costs for a particular billing entity, - such as a GCP project, have grown at a rate faster than our alerting + such as a GCP project, has grown at a rate faster than our alerting threshold. The responsible team should follow this guide to decide whether this warrants further investigation. @@ -135,7 +135,7 @@ export const ProjectGrowthInstructionsPage = () => { Next, evaluate whether the growth is significant. This helps avoid premature optimization, where cost in engineering time is more than - would be saved from the optimization over a reasonable timeframe. + would be saved from the optimization over a reasonable time frame. We recommend reframing the cost growth itself in terms of engineering @@ -205,7 +205,7 @@ export const ProjectGrowthInstructionsPage = () => { Is the workload using cloud resources efficiently? For compute resources, do the utilization metrics look reasonable? Autoscaling infrastructure, such as Kubernetes, can run workloads more efficiently - without comprimising reliability. + without compromising reliability. Lifecycle