core
Grafana
Our great sponsors
core | Grafana | |
---|---|---|
18 | 378 | |
1,489 | 60,196 | |
1.9% | 1.3% | |
9.4 | 10.0 | |
9 days ago | 6 days ago | |
C | TypeScript | |
Apache License 2.0 | GNU Affero General Public License v3.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
core
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Show HN: Pip Imports in Deno
An alternative is metacall. The example in the readme is about calling Python from Javascript, but it also works with other languages, like Ruby, C#, Java, and other languages
https://github.com/metacall/core
List of supported languages here https://github.com/metacall/core/blob/develop/docs/README.md...
In the future, maybe webidl (or extensions of it) will bring interoperability between languages too. At the moment there is https://mozilla.github.io/uniffi-rs/ for interoperability between Rust and a number of languages (basically the ones mozilla needs: Swift, Kotlin, Javascript)
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Python frontend with Zig backend
Hi, I am writing a Polyglot Runtime called MetaCall, it provides interoperability between many different languages: https://github.com/metacall/core
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Closer look at Metacall
MetaCall is an extensible, embeddable and interoperable cross-platform polyglot runtime. It supports NodeJS, Vanilla JavaScript, TypeScript, Python, Ruby, C#, Java, WASM, Go, C, C++, Rust, D, Cobol.
- Make polyglot programs easily and deploy them in few clicks through its FaaS
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Google Summer of Code with GNOME Foundation.
I started looking for past selected organizations in February, found an organization named Metacall, which made polyglot programming easy. I made some contributions there. I looked into their past projects and tried to understand how the code base worked. The tech stack was mainly Python, C++, Rust, Nodejs, Docker. I knew very little about these.
- MetaCall: The Polyglot Programming Experience
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Gitpodify the MetaCall
MetaCall helps you build serverless applications using a more fine-grained, scalable and NoOps oriented Function Mesh instead of ServiceMesh and DevOps approach. It automagically converts your code into a Function Mesh and auto-scales individual hot parts or functions of your app.
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Ideas for Intermediate or Advanced Rust Projets?
We are building a Polyglot Runtime and we are adding support for Rust, if you are interested you can participate on it: https://github.com/metacall/core
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Make & Deploy Doxygen
MetaCall Polyglot Runtime MetaCall.io | Install | Docs
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Ask HN: Solo-preneurs, how do you DevOps to save time?
I try to avoid any complicated tool and simplify my life with NoOps tools. Using Kubernetes or AWS from scratch is probably going to kill your startup.
In my case, I have tried MetaCall: https://metacall.io
Grafana
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Golang: out-of-box backpressure handling with gRPC, proven by a Grafana dashboard
To help us visualize these scenarios, we'll build a Grafana Dashboard so we can follow along.
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Monitoring, Observability, and Telemetry Explained
Visualization and Analysis: Choose a tool with intuitive and customizable dashboards, charts, and visualizations. A question to ask is, "Are the visualization features of this tool user-friendly and adaptable to our team's specific needs?" Tools like Grafana and Kibana provide powerful visualization capabilities.
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4 facets of API monitoring you should implement
Prometheus: Open-source monitoring system. Often used together with Grafana.
- Grafana: Open and composable observability and data visualization platform
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The Mechanics of Silicon Valley Pump and Dump Schemes
Grafana
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Reverse engineering the Grafana API to get the data from a dashboard
Yes I'm aware that Grafana is open source but the method I used to find the API endpoints is far quicker than digging through hundreds of files in a codebase I'm not familiar with.
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Building an Observability Stack with Docker
So, you will add one last container to allow us to visualize this data: Grafana, an open-source analytics and visualization platform that allows us to see traces and metrics simply. You can set Grafana to read data from both Tempo and Prometheus by setting them as datastores with the following grafana.datasource.yaml config file:
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How to collect metrics from node.js applications in PM2 with exporting to Prometheus
In example above, we use 2 additional parameters: code (HTTP response code) and page (page identifier), which provide detailed statistics. For example, you can build such graphs in Grafana:
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Root Cause Chronicles: Quivering Queue
Robin switched to the Grafana dashboard tab, and sure enough, the 5xx volume on web service was rising. It had not hit the critical alert thresholds yet, but customers had already started noticing.
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Teach Yourself Programming in Ten Years (1998)
I completely agree but do feel it needs qualifying. The problems beginners run into aren't usually the same as the problems experienced devs run into when adopting a language new to them, but where I see the two overlap I know something is a serious hazard in a language.
Java as a first language: won't like the boilerplate but won't have any point of comparison anyway, will get a few NPEs, might use threads and get data races but won't experience memory unsafety.
Go as a first language: much less boilerplate, but will still get nil panics, will be encouraged to use goroutines because every tutorial shows off how "easy" they are, will get data races with full blown memory unsafety immediately.
Rust as a first language: `None` // no examples found
I think Go as a beginner language would be better if people were discouraged from using goroutines instead of actively encouraged (the myth of "CSP solves everything"), otherwise I think it needs much better tooling to save people from walking off a cliff with their goroutines. And no, -race clearly isn't it, especially not for a beginner.
And in one respect I've found Go more of a hazard for experienced devs than beginners: the function signature of append() gives you the intuition of a functional programming append that never modifies the original slice. This has literally resulted in CVEs[1] even by experienced devs, especially combined with goroutines. Beginners won't have an intuition for this and will hopefully check the documentation instead of assuming.
[1] https://github.com/grafana/grafana/security/advisories/GHSA-...
What are some alternatives?
goja - ECMAScript/JavaScript engine in pure Go
Thingsboard - Open-source IoT Platform - Device management, data collection, processing and visualization.
go-python - naive go bindings to the CPython2 C-API
Apache Superset - Apache Superset is a Data Visualization and Data Exploration Platform [Moved to: https://github.com/apache/superset]
cel-go - Fast, portable, non-Turing complete expression evaluation with gradual typing (Go)
Heimdall - An Application dashboard and launcher
go-php - PHP bindings for the Go programming language (Golang)
Wazuh - Wazuh - The Open Source Security Platform. Unified XDR and SIEM protection for endpoints and cloud workloads.
anko - Scriptable interpreter written in golang
Thingspeak - ThingSpeak is an open source “Internet of Things” application and API to store and retrieve data from things using HTTP over the Internet or via a Local Area Network. With ThingSpeak, you can create sensor logging applications, location tracking applications, and a social network of things with status updates.
otto - A JavaScript interpreter in Go (golang)
uptime-kuma - A fancy self-hosted monitoring tool