Reducing Observability Costs: A Path to Long-Term Control

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 this session, we will demo how the Chronosphere Control Plane helps:

• Set Quotas by service, team, etc. to contain cardinality explosions and overages
• Analyze any metric to understand how much it is used, where, and by whom to weigh cost vs. utility
• Apply aggregations to shape raw metric data volumes to improve performance and reduce costs
• Automatically optimize slow queries to ensure dashboards are performant