Sampled analysis of 10 billion spans with Coralogix highlight comparison
Blog post from Coralogix
Coralogix highlights the importance of tracing as a key component of modern observability strategies, with many organizations now processing billions of spans daily. By leveraging OpenTelemetry OTLP traces, Coralogix offers a vendorless tracing solution that enables efficient analysis of large-scale span data to identify cross-cutting patterns and insights. The introduction of trace highlight comparisons allows users to detect and analyze trends and deviations within trace spans and real user monitoring events over time, providing a powerful tool for identifying infrastructure errors, slow-running AWS Lambda functions, bot detection, and regional performance degradation. This approach empowers users to identify and address issues more effectively by offering high-performance, pre-computed comparisons and insights into their telemetry data, ultimately enhancing the efficiency and reliability of distributed systems.
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
|---|---|---|---|---|---|
| Observability | 15 | 2,935 | 607 | 185 | -3% |
| Serverless | 8 | 1,219 | 234 | 92 | +43% |
| OpenTelemetry | 5 | 429 | 89 | 44 | -42% |
| Kubernetes | 3 | 1,723 | 279 | 106 | +15% |
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