dive VS lnav

curl -L https://github.com/wagoodman/dive/releases/download/v0.9.2/dive_0.9.2_linux_amd64.tar.gz -o dive.tar.gz tar -xvf dive.tar.gz

Cool, gonna try this soon. Would be great to use in combination with Dive (https://github.com/wagoodman/dive)

Dive is an open-source tool that allows you to explore the various layers of a Docker image. It shows you the content of each layer and helps you identify voluminous or unnecessary parts.

Dive is a great tool for debugging this. I like image reduction work just because it gives me a chance to play with Dive: https://github.com/wagoodman/dive

One easy low hanging fruit I see a LOT for ballooning image sizes is people including the kitchen sink SDK/CLI for their cloud provider (like AWS or GCP), when they really only need 1/100 of that. The full versions of both of these tools are several hundred mb each

This post is going to be shorter. I'd like to highlight a tool that I really enjoy working with called "Dive" It is an essential tool when working to build and optimize docker containers.

Whether you work with Docker regularly or even create your own Docker containers, Dive is a great tool for streamlining image sizes, potentially helping you save storage costs and speed up deployments.

There’s a tool called lnav that will parse logfiles into a temporary SQLite database and allows to analyse them using SQL features:

https://lnav.org/

It creates a patch file since the original file might've been modified.

> - There are lots of different filtering capabilities, but there is no unified treatment of them. For example, `:hide-lines-before` and `:filter-out` are at their core the same type of operation: filtering. I should be able to pull up a list of all filters that are currently active and easily add new ones and toggle or delete existing ones.

Adding the time filters to the "Filters" panel sounds like a reasonable request. I've added https://github.com/tstack/lnav/issues/1275 to track.

> - I would expect to be able to create a new view of the data using SQL `SELECT`. A select statement is fundamentally about filtering out some rows (log lines), which feels like a filter, and selecting some particular columns (log fields) and hiding others. The latter point seems like it could be something that should be handled when https://github.com/tstack/lnav/issues/1274 is resolved.

There is the `:filter-expr` command (https://docs.lnav.org/en/v0.12.2/commands.html#filter-expr-e...), have you tried that?

As others have kinda alluded to, it could be useful for testing TUI applications. I develop a logfile viewer for the terminal (https://lnav.org) and have a similar application[1] for testing, but it's a bit flaky. It produces/checks snapshots like [2]. I think the problems I run into are more around different versions of ncurses producing slightly different outputs.

[1] - https://github.com/tstack/lnav/blob/master/test/scripty.cc

The Logfile Navigator (https://lnav.org) is a log file viewer/merger/tailer for the terminal. It has some advanced UX features, like showing previews of operations and displaying context sensitive help. For example, the preview for filtering out logs by regex is to highlight the lines that will be hidden in red. This can make crafting the right regex a bit easier since the preview updates as you type. lnav also has some simple bar charting abilities, so you can visualize the results of SQL queries made against the log messages.

See https://lnav.org for a powerful mini-ETL CLI power tool; it embeds SQLite, supports ~every format, has great UX and easily handles a few million rows at a time.

The code base seems like a good reference as a small Python project.

My fav option in this class of apps: https://lnav.org/ It lets you use journalctl with pipes as requested here: https://github.com/Textualize/toolong/issues/4