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