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Adding OR logic forced us to confront why users preferred raw SQL

Where This Story Begins In 2022, we had three different query interfaces. Logs had a custom search syntax with no autocomplete. Traces only had predefined filters - no query builder at all. Metrics had a raw PromQL input box where you'd paste queries from somewhere else and hope they worked. Each system spoke a different language. An engineer debugging a production issue had to context-switch not just between data types, but between entirely different mental models of how to query data. When

Make the Easy Change Hard

I'd say this is a setup for a joke later on in the blog post, except the joke doesn't even make sense, so I don't really know what this is. Generated by ChatGPT. There’s a semi-well-known adage in software development that says when you have a hard code change, you should “first make the hard change easy, and then make the easy change.” In other words, refactor the code (or do whatever else you need to do) to simplify the change you’re trying to make before trying to make the change. This is es

Deep Think with Confidence

Authors: Yichao Fu, Xuewei Wang, Yuandong Tian, Jiawei Zhao Paper: https://arxiv.org/abs/2508.15260 Code: https://jiaweizzhao.github.io/deepconf TL;DR WHAT was done? The authors introduce Deep Think with Confidence (DeepConf), a test-time inference method that enhances the reasoning capabilities of Large Language Models (LLMs). Instead of treating all generated reasoning paths equally, DeepConf leverages the model's internal log-probabilities to derive localized confidence scores. It operate

CI/CD Observability with OpenTelemetry Step by Step Guide

In the fast-paced world of CI/CD, understanding the performance and behaviour of your pipelines is crucial. GitHub Actions has become a popular choice for automating builds and deployments, but anyone who's debugged a flaky workflow or long-running job knows how challenging it can be to get visibility into what's happening under the hood. We usually rely on build logs, timing data, or guesswork when something goes wrong. Wouldn't it be nice to trace a pipeline run step-by-step, or have metrics o