piterrro

7 ms·

91.
Cloudflare D1 + Metabase = Analytics on a Budget(logdy.dev)
1 points by piterrro 1y ago|0 comments
92.
Cline Memory Bank(docs.cline.bot)
1 points by piterrro 1y ago|0 comments
93.
by piterrro 1y ago
Logdy author here, thanks for calling out the project! Kubetail is probably best fit for k8s while Logdy is leveraging more unix-like philosophy of being a self contained tool you can tailor to your needs whether that's tailing files,
94.
by piterrro 1y ago
hosted or on-prem version? How much data per month with what retention? What's the final bill?
95.
by piterrro 1y ago
> The mistake many teams make is to worry about storage but not querying. Storing data is the easy part. Querying is the hard part. Some columnar data format stored in S3 doesn't solve querying. You need to have some system that loa
96.
by piterrro 1y ago
This is a really cool project — love the simplicity and the TUI approach, especially with the timeline histogram and remote-first design. I had similar pain points at my end when dealing with logs across many hosts, which led to building Lo
97.
by piterrro 2y ago
The optimizations listed in the article are common fallbacks of all serverless databases. Unless you are super diligent with writing queries to your database, it's going to be costly. The only real application I found so far are small
98.
by piterrro 2y ago
This line [1] will become a source of many problems and wasted hours of debugging time. You could at least return a sample document based on random offset or scan, lets say 1000 docs and infer their shape. Mongodb is schemaless, so theres n
99.
by piterrro 2y ago
This title is a clickbait since the sales peaked... In 2018? Since then it lowered consecutively
100.
by piterrro 2y ago
I'm not ruling that out, however there was no user feedback that's the use case honestly. So far users love that they can just drop a binary on a remote server and sping up a web UI. Similar with the local env. The nature of Logdy
101.
by piterrro 2y ago
There's also Logdy ( https://github.com/logdyhq/logdy-core ) that can work with raw files and comes with a UI as well in a single precompiled binary so no need for installs and setups. If you're looking for a s
102.
by piterrro 2y ago
I'm author of Logdy: https://logdy.dev/ https://github.com/logdyhq/logdy-core It comes as a precompiled binary you can download/deploy on the server and use to browse larger log files. I sugg
103.
by piterrro 2y ago
I did a small benchmark for compression with VFS and column compression a while ago: https://logdy.dev/blog/post/part-3-log-file-compression-with... https://logdy.dev/blog/post/part-4-log
104.
by piterrro 2y ago
> there are many log services available and this is my attempt at a better one. Out of curiosity, can you describe how your service is better than others? >I hope my application fixes most of these issues Do you care to elaborate on t
105.
Show HN: Logdy v0.14 – Semantic log filtering now available(github.com)
1 points by piterrro 2y ago|0 comments
106.
by piterrro 2y ago
We should distinct between compression in transit and at rest. Compressing a larger corpus should yield better results in comparison to smaller chunks because dictionaries can be reused (zstd for example)
107.
by piterrro 2y ago
Fully agree, quality is teams's effort and having a blameless culture where the team pushes for higher quality bar is essential. Chasing a single individual only makes sense when they have a track record of repeating the same thing mul
108.
by piterrro 2y ago
They will compress over the wire, but then decompress and ingest counting billing for uncompressed data. After that, an interesting thing will happen, because they will compress the data along other interesting techniques to minimize the si
109.
by piterrro 2y ago
Unless you start attaching tags to metrics and allow engineers to explode cardinality of the metrics. Then your pockets need to be deep.
110.
by piterrro 2y ago
I'm a big fan of Diátaxis and I'm using it to build documentation for Logdy: https://logdy.dev/docs/quick-start I'm curious how people see it and whether it's a useful way to document a software pro
111.
by piterrro 2y ago
Curiosity: Can you share more about the header you're tracking?
112.
by piterrro 2y ago
Is the ski website up? Im planning a trip to Sweden and would love to track conditions there!
113.
by piterrro 2y ago
I don't know what's a fair way to do this for all languages listed in the benchmark, but for Go vs Node the only fair way would be to use a single goroutine to schedule timers and another one to pick them up when they tick, this w
114.
by piterrro 2y ago
The idea seems interesting, however (and I dont mean to kill your spirit) I see one thing that could block people from renting a space: why would I trust a stranger to let them into my home? Similar to tenants: why would I trust a stranger
115.
by piterrro 2y ago
Would you mind sharing a source of the reviews? How your users would know whether your product could be trusted?
116.
by piterrro 2y ago
This blog post is the third in a series exploring log file compression techniques, focusing on using the Zstandard compression algorithm with SQLite's Virtual File System (VFS). It covers the implementation details, benchmarks, and opt
117.
Log File Compression with Zstandard VFS (Go) in SQLite (Series)(logdy.dev)
3 points by piterrro 2y ago|1 comments
118.
Log File Compression with Zstandard VFS (Go) in SQLite(logdy.dev)
3 points by piterrro 2y ago|1 comments
119.
by piterrro 2y ago
This blog post is the third in a series exploring log file compression techniques, focusing on using the Zstandard compression algorithm with SQLite's Virtual File System (VFS). It covers the implementation details, benchmarks, and opt
120.
by piterrro 2y ago
Sorry to say, this site looks like a scam. I dont know if that's on purpose or not but I have no idea why did you think this is the right place to post it.

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