Comments URL: https://news.ycombinator.com/item?id=47916296

Points: 1

# Comments: 0

Comments URL: https://news.ycombinator.com/item?id=45982511

Points: 3

# Comments: 0

https://github.com/jakeroggenbuck/kronicler

This is why I wrote kronicler to record performance metrics while being fast and simple to implement. I built my own columnar database in Rust to capture and analyze these logs.

To capture logs, `import kronicler` and add `@kronicler.capture` as a decorator to functions in Python. It will then start saving performance metrics to the custom database on disk. You can also use the middleware for FastAPI.

You can then view these performance metrics by adding a route to your server called `/logs` where you return `DB.logs()`. You can paste your hosted URL into the settings of usekronicler.com (the online dashboard) and view your data with a couple charts. View the readme or the website for more details for how to do this.

I'm still working on features like concurrency and other overall improvements. I've added a lot since the last time I shared on HN. I would love some feedback to help shape this product into something useful for you all.

Thanks! - Jake

https://github.com/jakeroggenbuck/kronicler

This is why I wrote kronicler to record performance metrics while being fast and simple to implement. I built my own columnar database in Rust to capture and analyze these logs.

To capture logs, `import kronicler` and add `@kronicler.capture` as a decorator to functions in Python. It will then start saving performance metrics to the custom database on disk.

You can then view these performance metrics by adding a route to your server called `/logs` where you return `DB.logs()`. You can paste your hosted URL into the settings of usekronicler.com (the online dashboard) and view your data with a couple charts. View the readme or the website for more details for how to do this.

I'm still working on features like concurrency and other overall improvements. I would love some feedback to help shape this product into something useful for you all.

Thanks! - Jake

My name is Jake and I often need to know the performance of backend systems I maintain. I frequently build tooling to capture performance and save it for later analysis. I/O operations get costly when writing lots of data to disk and creating good real-time analytics tools takes a lot of my time. I wanted a library that captures real-time performance analytics from Python backends.

This is why I wrote kronicler to record performance metrics while being fast and simple to implement. I built my own columnar database in Rust to capture and analyze these logs.

To capture logs, `import kronicler` and add `@kronicler.capture` as a decorator to functions in Python. It will then start saving performance metrics to the custom database on disk.

You can then view these performance metrics by adding a route to your server called `/logs` where you return `DB.logs()`. You can paste your hosted URL into the settings of usekronicler.com (the online dashboard) and view your data with a couple charts. View the readme or the website for more details for how to do this.

I'm still working on features like concurrency and other overall improvements. I would love some feedback to help shape this product into something useful for you all.

- Jake

Comments URL: https://news.ycombinator.com/item?id=45560326

Points: 1

# Comments: 0

I totally agree here. Safety can and should be from the language itself.

> why not just wrap vanilla JS regex, rejecting patterns including them?

Yea! I was thinking about this too actually. And this would solve the problem of being server side only. I'm thinking about making a new version to do just this.

For a pattern rejecting wrapper, how would you want it to communicate that an unsafe pattern has been created.

Why: Many CVEs happen because TypeScript libraries are vulnerable to Regular Expression Denial of Service attacks. I learned about this problem while doing undergraduate research and found that languages like Rust have built-in protection but languages like JavaScript, TypeScript, and Python do not. This library attempts to mitigate these vulnerabilities for TypeScript and JavaScript.

How: Regolith uses Rust's Regex library under the hood to prevent ReDoS attacks. The Rust Regex library implements a linear-time Regex engine that guarantees linear complexity for execution. A ReDoS attack occurs when a malicious input is provided that causes a normal Regex engine to check for a matching string in too many overlapping configurations. This causes the engine to take an extremely long time to compute the Regex, which could cause latency or downtime for a service. By designing the engine to take at most a linear amount of time, we can prevent these attacks at the library level and have software inherit these safety properties.

I'm really fascinated by making programming languages safer and I would love to hear any feedback on how to improve this project. I'll try to answer all questions posted in the comments.

Thanks! - Jake Roggenbuck

Comments URL: https://news.ycombinator.com/item?id=45034957

Points: 27

# Comments: 25

I'm really fascinated by making programming languages safer and I would love to hear any feedback on how to improve this project. I'll try to answer all questions posted in the comments.

Thanks! - Jake

Comments URL: https://news.ycombinator.com/item?id=44840052

Points: 3

# Comments: 0