How to Tame Rapid Observability Metric Growth and Cardinality Spikes

Episode 2: Chronosphere On-Demand Demo Series

Cloud-native architectures offer speed, flexibility, and accelerated innovation. However, they also bring a significant trade-off: a surge in metric data volume and cardinality that is challenging to manage at scale. Much of this data is waste, but most observability solutions don’t give you those insights, so costs explode and budgets are overrun. To reduce costs, developers are asked to do unnatural things – things that sacrifice visibility and productivity.

It doesn’t have to be that way. In this demo, we’ll show you how the Chronosphere Control Plane provides the insights and the tools you need to analyze, shape, and transform your metric data based on the need, context, and utility. All without sacrificing developer productivity or the visibility they need.

In Episode 2 of our On-Demand Demo Series, you’ll learn how to:

• Set Quotas by service, team, etc. to contain cardinality explosions and overages.
• Analyze metrics in real-time to identify the cause of cardinality spikes and the value each metric delivers based on where it’s used, how often, and by whom.
• Apply shaping policies to eliminate waste and optimize metrics based on the value they deliver.
• Track the efficiency of shaping policies and metric workload costs over time to ensure optimal performance