Coralogix’s metrics costs are influenced by the amount of metric data ingested, which is significantly impacted by the scrape interval settings of your OpenTelemetry Collector or Prometheus Agent. Adjusting your scrape intervals allows for more effective data ingestion management, leading to optimized costs and efficient usage.
After thorough analysis and consideration of various monitoring needs, it’s evident that a 60-second scrape interval is the most balanced and universally applicable approach for a wide array of use cases. Here’s why:
While a 60-second scrape interval is recommended for most scenarios, auto-scaling environments present unique challenges that might necessitate a different approach. Specifically, the need for rapid scaling based on real-time demands requires a more nuanced strategy:
Adopting a dual-interval strategy allows you to enjoy the benefits of a balanced, cost-effective monitoring setup for general purposes while still catering to the specific needs of auto-scaling scenarios. This tailored approach optimizes your monitoring efficiency and cost, ensuring that you have the necessary data when it matters most, without incurring unnecessary expenses.
OpenTelemetry Collector and Prometheus Agent Configuration: Review and adjust the scrape_interval
setting in your configuration files to adopt the 60-second standard for general monitoring and consider shorter intervals for critical metrics affecting auto-scaling decisions.
OpenTelemetry Collector:
prometheus: config: scrape_configs: - job_name: 'otel-collector' scrape_interval: 60s static_configs: - targets: ['0.0.0.0:8888'] - job_name: 'node-exporter' scrape_interval: 15s static_configs: - targets: ['localhost:9100'] #Auto-Scaling/Critical metrics
This adjustment is foundational to achieving a more cost-effective and efficient monitoring setup.
By thoughtfully setting your scrape intervals, you embrace best practices for most monitoring scenarios while accommodating the specialized needs of auto-scaling environments. This strategic approach ensures that your monitoring practices are cost-efficient and highly responsive to dynamic operational requirements.
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