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Hello everyone! I’ve been a mentor in the LFX program for quite a few semesters and I have been participating in it since the complete beginning, when it was still called community bridge. I also participated in GSoC once as a mentor. Since I get questions about how to get accepted into LFX, I thought about writing an article about this topic. Please note that even if you will follow everything to the letter, you still might not get accepted. There is some luck involved but I believe that my suggestions greatly increase your chance of getting accepted as a mentee. ...

Just a few late-night musings from today. The last paragraph might not be true as these are scattered thoughts. Maybe someone will get some worth from this post. There are two main ways of deploying Thanos - as a Sidecar to Prometheus where it “steals” its blocks and uploads them to remote object storage whilst at the same time proxying metrics requests to Prometheus itself and then there is Receive which accepts incoming metrics data over remote_write and stores it with a few bells and whistles. ...

PromQL kind of became a de facto standard of querying metrics. PromQL is the querying language of Prometheus. Over the recent years, a lot of different vendors started making products that are “compatible” with Prometheus. Julius Volz covers the general aspects of compatibility in his blog at https://promlabs.com/promql-compliance-tests/. However, it would be interesting to look at the technical differences between PromQL engines embedded in each product. I will be mostly looking at the differences between engines in terms of how much they support concurrency, distributed evaluation features such as pushdown or general evaluation over many servers, optimizations, and how close they are to the vanilla engine. ...

Oops, it has been such a long time since I wrote a post that I even accidentally forgot to renew my site! That’s bad. I definitely owe you a few new posts. Thus, here is another post in the distributed systems magic series. Recently I undertook the task of improving the proxying logic in Thanos. If you are not familiar with it, the Query component of Thanos sends out requests via gRPC to leaf nodes to retrieve needed data when it gets some kind of PromQL query from users. This article will show you how it worked previously, how it works now, and the learnings from doing this. ...

A great, new book “Observability Engineering” came out very recently and I had to jump on reading it. Since it is very closely related to my work, I devoured the pages and read the book in about a day (505 pages). While doing so I wrote down some thoughts that I want to share with you today. They might or might not be true, I am only speaking about the book from my own perspective. Feel free to share your own thoughts! ...

This is a sequel to my previous blog post about trying to migrate to a newer version of protocol buffer API. In this blog post, I will tell you how we’ve managed to get groupcache into Thanos during the previous LFX mentorship. The team consisted of Akansha Tiwari, Prem Saraswat, and me. It would not have been possible to implement this without the whole team. In the beginning, let’s quickly go over what is groupcache and why it solves a few important problems in Thanos. ...

During the most recent LFX mentorship program’s iteration, I had the honor to work on trying to migrate to version 2 of the protobuf API from gogoprotobuf on the Thanos project with my one and only awesome mentee Rahul Sawra and another mentor Lucas Serven who is also a co-maintainer of Thanos. I wanted to share my technical learnings from this project. First of all, let’s quickly look at what protocol buffers are and what is the meaning of the different words in the jargon. Protocol buffers are a way of serializing data. It was first made by Google. It is a quite popular library that is used by Thanos really everywhere. Thanos also uses gRPC to talk between different components. gRPC is a remote procedure call framework. With it, your (micro-)services can implement methods that could be called by others. ...

Devoxx UK 2021 was a great conference that has just passed by. It was my first time ever speaking at a physical conference. I spoke at virtual conferences before. I had the great honor of representing Thanos at Devoxx. I was supposed to do this presentation with another Thanos maintainer Prem Saraswat however he could not make it. Since it was my first time speaking live, I have learned a bunch of lessons for the next time I will be able to do this again. This post will be about my journey there and my takeaways from it. I hope that you will be able to learn something from it as well. ...

Setting custom metric retention periods on Thanos is one of the longest feature requests that we have had: https://github.com/thanos-io/thanos/issues/903. It seems like there is still no solution in sight but actually, it is already possible to have custom metrics retention periods. It is quite a simple idea but could be hard to implement if you do not have comfortable deployment tooling in place. You can achieve custom retention periods for different metrics in the following way: ...

I ran into an interesting problem lately with the query-frontend component of Thanos. Here is how --query-range.split-interval is described in the --help output: Part of query-frontend –help output showing what is the purpose of the split interval Computer Science is full of trade-offs and this is one of them. Currently, the Prometheus engine executes each query in a separate goroutine as I have described here some time ago. This mechanism lets you kind of work around this problem because each PromQL query only looks for samples in the given range (unless you use the negative offset feature flag). So, if the split interval is lower then you will be able to leverage the CPU power more but with more round-trips for retrieving the same data. If the split interval is higher, then fewer round-trips will be needed to execute those queries but fewer CPU cores will be used. ...