# Celestia light node performance analysis **Published by:** [FTP Crypto](https://paragraph.com/@sooqa/) **Published on:** 2023-04-14 **URL:** https://paragraph.com/@sooqa/celestia-light-node-performance-analysis ## Content Conducted a performance analysis of my light node. For that purpose I was using scripts from celestia team https://github.com/P-OPSTeam/celestia-tools/tree/main/grafana With the help of those scripts I ve properly set up prometheus and grafana interaction.I also added some metrics that seemed useful to me:celestia_das_busy_workers_amountcelestia_das_sample_time_hist_countYou can check all the dashboards I used via the link http://135.181.33.247:3000/d/sAAM7CLVk/processes-monitoring?search=open So I ve analysed the data coming from node and noticed the following:Sampled headersMore or less equal number of sampled headers is being generated every hourSo every minute from 4 to 6 sampled headers are being generated https://docs.google.com/spreadsheets/d/1nYkl13oLsLcqzEit9lNYlTMDJV9j0K00-uD9galbS_w/edit?usp=sharing In total for the last 27 hours 8735 sampled headers were generated. This number can be divided into:width 2 headers (59)width 4 headers (6739)width 8 headers (1938)Headers with width 4 appeared to be the most commonHead syncingHead also grows by 4-6 blocks every minute (most commonly by 5-6)DAS busy workersNoticed an interesting pattern hereSo in my case two workers get busy once in every 1.5-2 hours. One workers is usually busy for no more than one minute.System loadSome metrics here can vary, however in my case light node takes 1.86 GB of resident memory, 9.76 GB of virtual memoryCPU performance of celestia tasks in my case looks like: Min 0.0431 ms Max 0.07 ms Avg 0.0433 msBased on 1 hour data set from the google doc aboveAnalysis conducted by Danylo Soloviov Discord: Daniel_#6773 ## Publication Information - [FTP Crypto](https://paragraph.com/@sooqa/): Publication homepage - [All Posts](https://paragraph.com/@sooqa/): More posts from this publication - [RSS Feed](https://api.paragraph.com/blogs/rss/@sooqa): Subscribe to updates - [Twitter](https://twitter.com/solodanETH): Follow on Twitter