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This note is a mental model for how Prometheus discovers and scrapes metrics in Kubernetes.

The lens I want to keep throughout is:

  • Where will the scrape config file sit?
    (Prometheus repo vs application repo)
  • In which namespace will the serviceMonitor sit?
    (and how Prometheus finds ...
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    In most of distributed datastore systems, there are a lot of techical terms to describe the behavior of the system. While these terms, like, “Leader”, “Follower”, “Replication”, “Consistency”, etc., are widely used and helpful, what I feel missing are the details about internal relationship between these terms.Analogically, while the map of the field is great, it is also impo...

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    When studying Chapter 4 of Designing Data-Intensive Applications (Encoding and Evolution), I quickly encounters a level of granularity that seems mechanical: binary formats, schema evolution, and serialization techniques. Yet behind this technical scaffolding lies something conceptually deeper. Encoding is not merely a process of s...

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    I attended Kubecon India 2025 held in Hyderabad this year. I mainly focused and attended talks related to Observability and Scalable designs.

    Now that the sessions are uploaded to Youtube, linking the ones which I really enjoyed.

  • Observability at Scale With Monitoring as Code: Grafana, Prometheus, & Tempo – Vipin GopalaKrishnapillai & Saiabhina...
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    I enjoy philosophy. Stoic philosophy in particular.Philosophy, I think, helps us revalidate our purpose. It acts as a yard stick and makes sure that we are not moving away from our First-Principles.

    Applying the same to Software Engineering, in my opinion, every team should have a “D...

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