SigNoz is an open-source observability tool that helps you monitor your applications and troubleshoot problems. It provides traces, metrics, and logs under a single pane of glass.
With SigNoz, you can do the following:
No SigNoz videos yet. You could help us improve this page by suggesting one.
Based on our record, SigNoz should be more popular than SQLite. It has been mentiond 93 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Yes. A Lightroom catalog file is, after all, just a SQLite database. (Srsly, make a copy of your catalog file, rename it whatever.sqlite and use your favorite SQLite GUI to rip it open and look at the tables and fields). It's just storing the pathame to the RAW file for that file's record in the database. Source: almost 2 years ago
I use visidata with a playback script I recorded to open the sheet to a specific Excel tab, add a column, save the sheet as a csv file. Then I have a sqlite script that takes the csv file and puts it in a database, partitioned by monthYear. Source: about 2 years ago
Use the most-used database in the world: https://sqlite.org/index.html. Source: over 2 years ago
With this in mind, I wrote a few versions of this post, but I hated them all. Then I realized that jodliterate PDF documents mostly do what I want. So, instead of rewriting MirrorXref.pdf, I will make a few comments about jodliterate group documents in general. If you're interested in using SQLite with J, download the self-contained GitHub files MirrorXref.ijs and MirrorXref.pdf and have a look. - Source: dev.to / almost 3 years ago
SQLite, by many estimates, is the most widely deployed SQL database system on Earth. It's everywhere. It's in your phone, your laptop, your cameras, your car, your cloud, and your breakfast cereal. SQLite's global triumph is a gratifying testament to the virtues of technical excellence and the philosophy of "less is more.". - Source: dev.to / almost 3 years ago
Telescope is primarily focused on log visualization, not on log collection or preparing ClickHouse for storage. The system does not currently provide (and I think will not ever) built-in mechanisms for parsing or ingesting logs from different sources (e.g., text files or journald). I will consider providing a how-to guideon setting up log storage in ClickHouse, but I’m afraid I won’t be able to cover all... - Source: Hacker News / 3 months ago
Was just looking at https://signoz.io/ to replace DD. - Source: Hacker News / 3 months ago
A lot of web frameworks etc do most of the instrumentation for you these days. For instance using opentelemetry-js and self hosting something like https://signoz.io should take less than an hour to get spun up and you get a ton of data without writing any custom code. - Source: Hacker News / 4 months ago
If your app is instrumented with OpenTelemetry, I'd really recommend something like SigNoz (https://signoz.io/) (or even Baselime.io but their application is a mess to work with) 1. Axiom has a generous free plan (not sure if it's self-hostable). - Source: Hacker News / 6 months ago
SigNoz positions itself as an "open-source DataDog alternative". You can host it yourself or use the commercial cloud version. - Source: dev.to / 9 months ago
PostgreSQL - PostgreSQL is a powerful, open source object-relational database system.
Open Telemetry - An observability framework for cloud-native software.
MySQL - The world's most popular open source database
Datadog - See metrics from all of your apps, tools & services in one place with Datadog's cloud monitoring as a service solution. Try it for free.
Microsoft SQL - Microsoft SQL is a best in class relational database management software that facilitates the database server to provide you a primary function to store and retrieve data.
NewRelic - New Relic is a Software Analytics company that makes sense of billions of metrics across millions of apps. We help the people who build modern software understand the stories their data is trying to tell them.