From 2abc1e196f14409ad60b35b9b09639253cba0854 Mon Sep 17 00:00:00 2001 From: Adriana Villela <50256412+avillela@users.noreply.github.com> Date: Fri, 10 May 2024 11:01:38 -0400 Subject: [PATCH] Update content/en/blog/2024/prom-and-otel/index.md Co-authored-by: Patrice Chalin --- content/en/blog/2024/prom-and-otel/index.md | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/content/en/blog/2024/prom-and-otel/index.md b/content/en/blog/2024/prom-and-otel/index.md index b0d4b80186a8..d9ced428757a 100644 --- a/content/en/blog/2024/prom-and-otel/index.md +++ b/content/en/blog/2024/prom-and-otel/index.md @@ -647,9 +647,9 @@ a service instrumented with a Prometheus SDK, you’ll be able to _push_ OTLP an take advantage of the rich Prometheus exporter ecosystem for OTel users. The maintainers are also working on adding support for delta temporality. This [component](https://github.com/open-telemetry/opentelemetry-collector-contrib/issues/30479) -will aggregate delta samples to their respective cumulative counterparts. Read -more about Prometheus' commitment to OTel -[here](https://prometheus.io/blog/2024/03/14/commitment-to-opentelemetry/)! +will aggregate delta samples to their respective cumulative counterparts. For +more about Prometheus' commitment to OTel, see [Our commitment to +OpenTelemetry](https://prometheus.io/blog/2024/03/14/commitment-to-opentelemetry/). However you decide to use OTel to gather Prometheus metrics, ultimately what is right for your organization depends on your business needs. Using the OTel