PromQL (Prometheus Query Language)

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🚀 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!

👍 Like, Share, Subscribe: If you found this episode helpful, share it with your network, and subscribe to stay updated on the latest tech tutorials and insights.

📚 Explore More Tutorials:

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📈
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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!!

subhachandan
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Its cool that you compare it with SQL query, much more easier to understand how PromQL works, tqsm

madlim
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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! 👍

ivanmclennon
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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.

mgs
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Nice tutorial sir🔥🔥 Need more Vedios in depth vedios on Prometheus and Grafana

mallikarjunkonemane
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Thanks for your effort put in K8S & Prometheus Series, this helped me out a lot :)

DungPham-fhck
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Simply great explanation. Want more on histograms and and their actual visualisation in Graphana.

patilsanika
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Awesome simple to understnd. Thanks a lot!

swaroopjoseph
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at 11:20 how is it last 3 mins? why (10:01:00) was not included?

itz
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Very good tutorial and understand rate, irate and increase function. please make tutorial for summary and histogram :)

PrashantSingh-unyj
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The way of explaining is like spoon feeding . Thank you.

ajay-lugh
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Hello pavan, some metrics are not there or not being collected in my AKS cluster. I recently deployed latest prometheus-stack. I used same scrape configurations used in my older AKS clusters there it is working but here some metrics are not being collected.

Also, one difference i observed is under service discovery page in prometheus, for some services, targets column/label is showing as droped. Could it be the reason why some metrics are not being collected?

vijaykumarreddyt
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amazing explanation brother.. salute ❤

samipdaveyt
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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.

felipeb
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18:47 Why are you calculating the sum in the query, shouldn't it just be rate for Traffic and Error Rate?
In Latency shouldn't it be response_duration instead of request_duration?

JackReacher
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Is there a PromQL equivalent to the SQL query `SELECT COUNT(DISTINCT user) FROM WHERE time BETWEEN @from AND @to`? Trying to create a distinct user chart over time.

softwaretitbits
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The question is, if prometheus accepts requests from port 9090, can it show all requests, not in kubernetes on the backend, but in regular microservic, thanks in advance for the answer

ABBS