This doc compares the capabilities of popular telemetry sampling systems. The dimensions that are compared:
Temporal resolution: The time range that the limiting occurs on. E.g., limit the number of...
Degree of limiting: In a steady state with spans created at a rate R span/s that is greater than the desired limit,
Consider two broad goals in sampling:
These can be treated separately. Doing so may yield a simpler and more flexible conceptual foundation for sampling.
Define a balancer to be a sampler that does the following: For each input trace,
| import { Context, SpanAttributes } from '@opentelemetry/api'; | |
| import { | |
| ReadableSpan, | |
| Span, | |
| SpanProcessor, | |
| } from '@opentelemetry/sdk-trace-base'; | |
| /** | |
| * Intercepts `onEnd` to modify a finished Span's attributes. | |
| * Otherwise delegates completely to a child SpanProcessor. |
| # configuration file /etc/nginx/nginx.conf: | |
| #Elastic Beanstalk Nginx Configuration File | |
| load_module /home/ec2-user/otel_ngx_module.so; | |
| user nginx; | |
| error_log /var/log/nginx/error.log warn; | |
| pid /var/run/nginx.pid; | |
| worker_processes auto; | |
| worker_rlimit_nofile 200000; |
| #!/usr/bin/env python | |
| import numpy as np | |
| import pandas as pd | |
| from sklearn import svm | |
| FILE_NAME = 'mosteller-wallace-federalist-papers.csv' | |
| STOP_WORDS = ['a', 'an'] | |
| # Rows are samples, cols are [...word_count, AUTHOR, CODE_NUMER]. |
| /** | |
| * @typedef Point | |
| * A pair of numbers suitable for plotting. | |
| */ | |
| /** | |
| * @param {Array.<number>} arr | |
| * n observations of a continuous random variable (RV). | |
| * @returns {Array.<Point>} | |
| * The empirical probabilities of the given observed values of the RV. |