below: a time traveling resource monitor


One of the kernel’s primary responsibilities is mediating access to resources. Sometimes this might mean parceling out physical memory such that multiple processes can share the same host. Other times it might mean ensuring equitable distribution of CPU time. In all these contexts, the kernel provides the mechanism and leaves the policy to “someone else”. In more recent times, this “someone else” is usually a runtime like systemd or dockerd. The runtime takes input from a scheduler or end user — something along the lines of what to run and how to run it — and turns the right knobs and pulls the right levers on the kernel such that the workload can —well — get to work.
In a perfect world this would be the end of the story. However, the reality is that resource management is a complex and rather opaque amalgam of technologies that has evolved over decades of computing. Despite some of this technology having various warts and dead ends, the end result — a container — works relatively well. While the user does not usually need to concern themselves with the details, it is crucial for infrastructure operators to have visibility into their stack. Visibility and debuggability are essential for detecting and investigating misconfigurations, bugs, and systemic issues.
To make matters more complicated, resource outages are often difficult to reproduce. It is not unusual to spend weeks waiting for an issue to reoccur so that the root cause can be investigated. Scale further compounds this issue: one cannot run a custom script on every host in the hopes of logging bits of crucial state if the bug happens again. Therefore, more sophisticated tooling is required. Enter below.
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