Metrics

Prometheus pays for high cardinality metrics at write time. ClickHouse pays at query time. Neither solves it : they fail differently. Here's how to choose.

Application metrics are key performance signals, like latency, error rate, and throughput, that help you understand how your app behaves in production.

Diagnose missing Loki metrics by fixing recording rule gaps, remote write failures, and high-cardinality issues in production setups.

Push metrics into Last9 and start tracking Kafka lag, retries, and throughput in real-time.

Visualize AWS metrics like Lambda, API Gateway, and RDS in Grafana using Last9. No agents, no code, set it up in under 10 minutes.

Understand Jaeger metrics for internal health and service performance. Learn how to set up, monitor, and scale tracing with real insights.

Get visibility into your SQS queues with key CloudWatch metrics, custom insights, and alerting strategies for smooth, reliable processing.

Monitor critical Kafka producer metrics like record-send-rate, error-rate, and buffer-available-bytes to troubleshoot performance issues in production.

Understand the key server performance metrics to monitor for better reliability, faster troubleshooting, and smarter capacity planning.

Learn how to monitor the most important Elasticsearch metrics to keep your cluster healthy—without getting lost in unnecessary data noise.

Understand which metrics matter in Node.js applications, why they’re important, and how to track them effectively in production.

Learn which JVM metrics matter, how to track them, and use that data to troubleshoot and improve Java application performance.

Track what matters in Solr. This guide covers key Solr metrics every DevOps and SRE team should monitor to keep search performance sharp.

Learn which MongoDB performance metrics matter most, how to track them, and avoid the noise that clutters your monitoring setup.

Learn how to track, collect, and use key Docker container performance metrics to keep your containerized apps stable and efficient.

Everything you need to know about metrics monitoring—what they are, why they matter, and how to use them to keep your systems healthy.

Learn how to use OpenTelemetry custom metrics to track what truly matters in your systems—and build more reliable, observable services.

Learn the key ELB metrics that help you monitor traffic, spot issues early, and keep your load balancers running smoothly in production.

Learn how Dropwizard Metrics tracks performance, latency, and system health, helping you monitor and optimize your applications effectively.

Learn how OpenTelemetry handles metric aggregation, from delta and cumulative temporality to organizing and analyzing performance data.

Learn how to monitor Redis metrics, optimize performance, and follow best practices to ensure reliability and efficiency in your deployments.

Explore JMX metrics, the types to monitor, and when to check them for optimal Java application performance and proactive troubleshooting.

Learn how to extract and analyze account-level CDN metrics from Akamai logs using Last9 for real-time insights and better customer tracking.

Golden Signals—latency, traffic, error rate, and saturation—help SRE teams monitor system health and avoid costly performance issues.

Learn to monitor host metrics with OpenTelemetry. Discover setup tips, common pitfalls, and best practices for effective observability.

This blog introduces the RED method—an approach that simplifies microservices monitoring by honing in on requests, errors, and latency.

Already implemented tracing but lack metrics? With SpanConnector, you can convert trace data into actionable metrics. Here’s how to configure it.

Piyush Verma's talk at GopherCon India 2022 on Do More with Your Metrics with Last9 and Levitate