PromQL (Prometheus Query Language)
ฝัง
- เผยแพร่เมื่อ 27 ก.พ. 2024
- 🚀 Mastering Prometheus Query Language (PromQL) for Advanced Monitoring! 📈
📊 #Prometheus #PromQL #Monitoring #DevOps #HandsOn
In this chapter, we dive deep into PromQL, the powerful query language of Prometheus, to empower you with the skills needed for advanced monitoring and analysis of your applications.
Here's what we'll cover:
1. Understanding the Need for PromQL
2. Basic Syntax and Comparison with SQL
3. Filtering Metrics with Labels
4. Performing Arithmetic Operations
5. Time-Based Queries
6. Data Types
7. Leveraging PromQL Functions
8. Applying PromQL to Monitor Golden Metrics
🌟 Ready to Take Your Monitoring to the Next Level? Stay tuned for more insights, tips, and hands-on demos in our Prometheus series!
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📚 Explore More Tutorials:
- Docker Complete Course: • Docker Tutorial | Ful...
- Kubernetes Series: • Master Kubernetes
- HELM: • All about HELM
Thank you for joining us on this journey of mastering Prometheus Query Language! Stay curious and keep exploring with Prometheus.
#PromQL #AdvancedMonitoring #TechTutorial #PavanElthepu #SubscribeNow📈
Awesome simple to understnd. Thanks a lot!
Thanks for your effort put in K8S & Prometheus Series, this helped me out a lot :)
Simply great explanation. Want more on histograms and and their actual visualisation in Graphana.
I totally agree with the previous commenters that approaching promql from the standpoint of sql is golden - it likely covers 90% of the target audience for the topic. It certainly worked for me like a charm. Thank you.
Hi Pavan, Happy to share with you, that I got an offer with 80% hike. You're one of the pillar in my success, especially Kubernetes playlist the way you explained helped me a lot to get the confidence. Thank you for your contribution to the community. I wish you to Keep sharing the Knowledge. my Gratitude to you!!
Wow, many congratulations💐💐. So happy for you. Would love to connect with you. Please connect with me on LinkedIn when you get some time
Its cool that you compare it with SQL query, much more easier to understand how PromQL works, tqsm
Thanks for great explanation
I'm currently struggling with a task where I need to extract metrics for OpenStack VMs from prometheus, this was very helpful for my understanding of PromQL basics, thank you. Will definitely be checking out your other content! 👍
at 11:20 how is it last 3 mins? why (10:01:00) was not included?
Nice tutorial sir🔥🔥 Need more Vedios in depth vedios on Prometheus and Grafana
Sure. Stay tuned!
Is there a PromQL equivalent to the SQL query `SELECT COUNT(DISTINCT user) FROM ServiceLevelIndicator_milliseconds_count WHERE time BETWEEN @from AND @to`? Trying to create a distinct user chart over time.
Very good tutorial and understand rate,irate and increase function. please make tutorial for summary and histogram :)
I already made a video on Histogram and Summary Prashant. Here is the link: Prometheus Custom Metrics
th-cam.com/video/cBVmkCjOa38/w-d-xo.html
Desculpe meu inglês e ruim, gostei muita da sua explicação, estou trabalhando recentemente pra criar dashboards de um aplicação e tinha várias dúvidas de quais funções de agregação usar, no seu vídeo ficou bem claro como usar.
Translation:
Sorry for my bad English, I really liked your explanation, I'm recently working to create dashboards for an application and I had several doubts about which aggregation functions to use, in your video it was very clear how to use them.
Thank you very much. Happy Learning👍