45Off-peak, the autoscaler removes nodes and our Spark driver got evicted mid-run. How does scale-down choose its victims?▼mediumNewAmazon & AWSLinkedInAtlassian◆ premiumScale-downers mark a node removable only when every pod on it can leave safely. Your batch workload died because nothing marked it special. The mechanism is a filter cascade, and the fix is priorities, PDBs and annotations.Open full answer →
01Your cloud bill is two million dollars a year and leadership wants it cut. Where do you start?▼hardNewAmazonNetflixSnowflake2 repliesunlockedA question about method, not about tactics. Candidates who open with a list of levers lose to candidates who open with one question about the bill itself.Open full answer →
04Your cluster autoscaler adds nodes slowly and they are the wrong size. What would you change?▼mediumNewAmazonDatadogUber2 repliesunlockedThe difference between scaling node groups and provisioning nodes is the whole answer. One picks from shapes you defined in advance; the other reads the pending pods and buys what they need.Open full answer →
