From c34fe3dcab052ce435224507b0ec13a4cca1c718 Mon Sep 17 00:00:00 2001 From: Simplychee Date: Wed, 25 Oct 2023 13:01:02 +0300 Subject: [PATCH 01/11] deploy --- .../user-guide/distributed-tracing/services.md | 15 +++++++++++++++ 1 file changed, 15 insertions(+) diff --git a/_source/user-guide/distributed-tracing/services.md b/_source/user-guide/distributed-tracing/services.md index fb919bf7e..ec02e83f8 100644 --- a/_source/user-guide/distributed-tracing/services.md +++ b/_source/user-guide/distributed-tracing/services.md @@ -71,6 +71,21 @@ Hovering over the graphs provides values for the specific time point, allowing y You can toggle your view between pods and nodes inside the service. +## Track Deployment Data + +You can enrich your Service Overview graphs by adding an indication of recent deployments, helping you determine if a deployment has increased response times for end-users, altered your application's memory/CPU footprint, or introduced any other performance-related changes. + +To enbale deployment tracking ability, run the [**Telemetry Collector**](https://app.logz.io/#/dashboard/send-your-data/agent/new) on your Kubernetes clusters. You can also activate this process **manuallty**, by installing [Logz.io Kubernetes events Helm chart](https://app.logz.io/#/dashboard/integrations/Kubernetes:~:text=user%20guide.-,Send%20your%20deploy%20events%20logs,-This%20integration%20sends) and sending Kubernetes deploy events logs. + +Once enabled, navigate to [Services](https://app.logz.io/#/dashboard/spm/service-list/table?timeFrame=2h&compareTo=1d) and choose one of your running services. The deployment marker will appear in your graphs, marked by a dotted vertical line. + +![deployment popup](https://dytvr9ot2sszz.cloudfront.net/logz-docs/services/deplyment-popup.png) + +You can view additional deployment data by clicking on the line. This data includes the deployment time, the associated service and environment, and a quick link to view the commit in your logs. + +Click on the commit button to access and view your own code that's related to this deployment, allowing you to probe deeper into the relevant data. + +