opentelemetry-js
sqlc
opentelemetry-js | sqlc | |
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16 | 170 | |
2,472 | 10,950 | |
2.2% | 3.3% | |
9.4 | 9.6 | |
3 days ago | 7 days ago | |
TypeScript | Go | |
Apache License 2.0 | MIT License |
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.
opentelemetry-js
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OpenTelemetry Journey #01 - Important concepts
JavaScript
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OpenTelemetry in 2023
> OpenTelemetry is a marketing-driven project, designed by committee, implemented naively and inefficiently, and guided by the primary goal of allowing Fortune X00 CTOs to tick off some boxes on their strategy roadmap documents.
I'm the founder of highlight.io. On the consumer side as a company, we've seen a lot of value of from OTEL; we've used it to build out language support for quite a few customers at this point, and the community is very receptive.
Here's an example of us putting up a change: https://github.com/open-telemetry/opentelemetry-js/pull/4049
Do you mind sharing why you think no-one should be using it? Some reasoning would be nice.
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OpenObserve: Elasticsearch/Datadog alternative in Rust.. 140x lower storage cost
That's traces? I was wondering if I could use https://github.com/open-telemetry/opentelemetry-js/tree/main...
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OpenObserve: Open source Elasticsearch/Datadog/Splunk alternative in Rust for logs. 140x lower storage cost
Nothing like Faro for now. However, https://github.com/open-telemetry/opentelemetry-js can be used to achieve the same result and OpenObserve has great support for Opentelemetry.
- Deno 1.33: Deno 2 is coming
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Observable front-end applications - an open source product experiment
Can it be integrated with Grafana Faro or OpenTelemetry?
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Logs and tracing: not just for production, local development too
4. Register automatic instrumentations. For example, you can automatically trace all XHR requests, fetch requests, page loads, and user interactions. With distributed tracing, you should always prefer automatic instrumentation whenever possible to reduce maintenance and leverage existing conventions. The document load instrumentation allows you to treat the server as the parent span to a given page load, from which the client will then be the root span to everything in the server. This is an extremely powerful concept that allows traces to viewed from the perspective of the user, encapsulating all requests and user interactions in a single trace with no manual instrumentation!
We also trialed Sentry's APM tool (also marketed as a distributed tracing tool). While it had pretty charts, dashboards, niceties like core web vitals, and integrated well with Sentry's error product, its utility as a distributed tracing tool is significantly less powerful than tools like Honeycomb. You will end up using a large amount of your user's bandwidth sending telemetry data that can't fully be leveraged in the Sentry UI. When I last used (in April 2021), the spans of a given trace could only be viewed in a specific part the UI and they couldn't be searched for in queries or used in charts. I'm unsure if this has been updated. But this is not the worse part. Because Sentry uses its own data model for traces, it is not compatible with open source standards such as OpenTelemetry or OpenTracing! The sales team will not tell you this during the trial. This means our entire backend, which was already instrumented with OpenTracing, would now also need to instrument Sentry's tracing (...if they supported the language) in order to connect frontend traces to backend traces. Each team I met with their sales team, I said the same thing: support OpenTelemetry, otherwise you are asking for us to further isolate our backend and frontend teams.
It looks like they have heard this opinion, as they have recently published a blog post about the evolution of the distributed tracing API, citing incompatibility with OpenTelemetry due to their data model. It will require a very large change for them to support this. Meanwhile, OpenTelemetry can be used with any tracing vendor, a large number of languages, the other major instrumentation standards (OpenTracing, OpenCensus), and any trace propagation format.
- [1]: https://github.com/open-telemetry/opentelemetry-js
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Monitoring consumer lag in Azure Event Hub
Consumer lag will quickly show any functional or technical issue with your event stream. By using the code examples from this blogpost, you can avoid having to dive into the SDKs yourself. Of course, you can adopt the metric collection to send the metric to the logs or to another metrics system like prometheus, datadog, or open telemetry.
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Any good tutorial showing you which library to use for dependency injection in a project?
I would work on getting Open Telemetry pointed at an “all-in-one” Jaegar instance and move on from there: https://www.jaegertracing.io/docs/1.25/getting-started/ https://github.com/open-telemetry/opentelemetry-js Various cloud providers may have a way to collect/view traces as well, but, Jaegar and the Open Telemetry Collector are the open source way to do that. The projects are in the process of converging in some ways — everything is in flux.
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Distributed Tracing 101 for Full Stack Developers
OpenTelemetry is a collection of open source tools, APIs, and SDKs for instrumenting, generating, and exporting telemetry data from running software. It provides language-specific implementations for most popular programming languages, including both browser JavaScript and Node.js.
sqlc
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Show HN: Riza – Safely run untrusted code from your app
Hi HN, I’m Kyle and together with Andrew (https://news.ycombinator.com/user?id=stanleydrew) we’ve been working on Riza (https://riza.io), a project to make WASM sandboxing more approachable. We’re excited to share a developer preview of our code interpreter API with HN.
There’s a bit of a backstory here. A few months ago, an old coworker reached out asking how to execute untrusted code generated by an LLM. Based on our experience building a plugin system for sqlc (https://sqlc.dev), we thought a sandboxed WASM runtime would be a good fit. A bit of hacking later, we got everything wired up to solve his issue. Now the API is ready for other developers to try out.
The Riza Code Interpreter API is an HTTP interface to various dynamic language interpreters, each running inside a WASM sandbox without access to the outside world (for now). We modeled the API to align with a POSIX shell-style interface.
We made a playground so you can try it out without signing up: https://riza.io
The API documentation lives here: https://docs.riza.io
There are many limitations at the moment, but we expect to rapidly expand capabilities so that programs can e.g. access the network and filesystem. Our roadmap has more details: https://docs.riza.io/reference/roadmap
If you need to execute LLM-generated code we’d love to have you try the API and let us know if you run into any issues. You can email us directly at [email protected].
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Give Up Sooner
"Is there a way to get sqlc to use pointers for nullable columns instead of the sql.Null types?"
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Show HN: Sqlbind a Python library to compose raw SQL
I came across this yesterday for golang: https://sqlc.dev which is somewhat like what you want, maybe.
Not sure it allows you to parameterize table names but the basic idea is codegen from sql queries so you are working with go code (autocompletion etc).
- API completa em Golang - Parte 7
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ORMs are nice but they are the wrong abstraction
Agreed, but tools like https://sqlc.dev, which I mention in the article, are a good trade-off that allows you to have verified, testable, SQL in your code.
- API completa em Golang - Parte 6
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Go ORMs Compared
sqlc is not strictly a conventional ORM. It offers a unique approach by generating Go code from SQL queries. This allows developers to write SQL, which sqlc then converts into type-safe Go code, reducing the boilerplate significantly. It ensures that your queries are syntactically correct and type-safe. sqlc is ideal for those who prefer writing SQL and are looking for an efficient way to integrate it into a Go application.
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Type-safe Data Access in Go using Prisma and sqlc
I was browsing awesome-go for ideas on how to setup my data access layer when I stumbled on sqlc. It seemed like a great option. Code generation is a strategy often used in the Go ecosystem and making my queries safe at compile time was an idea I really liked. Knex was great, but it required of me that I test thoroughly my queries at runtime and that I sanitize my query results to ensure type safety within my application.
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Level UP your RDBMS Productivity in GO
Now, we are going to generate the code. For this purpose, we are going to use sqlc.
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What 3rd-party libraries do you use often/all the time?
https://github.com/sqlc-dev/sqlc — for use with //go:generate
What are some alternatives?
Sentry - Developer-first error tracking and performance monitoring
sqlx - general purpose extensions to golang's database/sql
prom-client - Prometheus client for node.js
GORM - The fantastic ORM library for Golang, aims to be developer friendly
PostHog - 🦔 PostHog provides open-source product analytics, session recording, feature flagging and A/B testing that you can self-host.
SQLBoiler - Generate a Go ORM tailored to your database schema.
signoz - SigNoz is an open-source observability platform native to OpenTelemetry with logs, traces and metrics in a single application. An open-source alternative to DataDog, NewRelic, etc. 🔥 🖥. 👉 Open source Application Performance Monitoring (APM) & Observability tool
ent - An entity framework for Go
InversifyJS - A powerful and lightweight inversion of control container for JavaScript & Node.js apps powered by TypeScript.
jet - Type safe SQL builder with code generation and automatic query result data mapping
nestjs-commander - A module for using NestJS to build up CLI applications
pgx - PostgreSQL driver and toolkit for Go