opentelemetry-collector
GORM
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opentelemetry-collector | GORM | |
---|---|---|
16 | 74 | |
3,788 | 35,144 | |
3.8% | 1.3% | |
9.9 | 8.4 | |
7 days ago | 6 days ago | |
Go | 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-collector
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OpenTelemetry Collector Anti-Patterns
But how does one monitor a Collector? The OTel Collector already emits metrics for the purposes of its own monitoring. These can then be sent to your Observability backend for monitoring.
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OpenTelemetry Journey #00 - Introduction to OpenTelemetry
Maybe, you are asking yourself: "But I already had instrumented my applications with vendor-specific libraries and I'm using their agents and monitoring tools, why should I change to OpenTelemetry?". The answer is: maybe you're right and I don't want to encourage you to update the way how you are doing observability in your applications, that's a hard and complex task. But, if you are starting from scratch or you are not happy with your current observability infrastructure, OpenTelemetry is the best choice, independently of the backend telemetry tool that you are using. I would like to invite you to take a look at the number of exporters available in the collector contrib section, if your backend tracing tool is not there, probably it's already using the Open Telemetry Protocol (OTLP) and you will be able to use the core collector. Otherwise, you should consider changing your backend telemetry tool or contributing to the project creating a new exporter.
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Building an Observability Stack with Docker
To receive OTLP data, you set up the standard otlp receiver to receive data in HTTP or gRPC format. To forward traces and metrics, a batch processor was defined to accumulate data and send it every 100 milliseconds. Then set up a connection to Tempo (in otlp/tempo exporter, with a standard top exporter) and to Prometheus (in prometheus exporter, with a control exporter). A debug exporter also was added to log info on container standard I/O and see how the collector is working.
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Amazon EKS Monitoring with OpenTelemetry [Step By Step Guide]
You can find more details on advanced configurations here.
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Go 1.21
> opentelemetry is basically a house of antipatterns
"Look on My Works Ye Mighty and Despair!"
https://github.com/open-telemetry/opentelemetry-collector/tr... -> https://github.com/open-telemetry/opentelemetry-collector-re... ... and then a reasonable person trying to load that mess into their head may ask 'err, what's the difference between go.opentelemetry.io/collector and github.com/open-telemetry/opentelemetry-collector-contrib?'
$ curl -fsS go.opentelemetry.io/collector | grep go-import
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Display CockroachDB metrics in Splunk Dashboards
There are 2 collector types: the core and the contrib. I have used the contrib as it features the splunk_hec exporter.
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Observability Mythbusters: How hard is it to get started with OpenTelemetry?
Lightstep ingests data in native OpenTelemetry Protocol (OTLP) format, so we will use the OTLP Exporter. The exporter can be called either otlp or follow the naming format otlp/. We could call it otlp/bob if we wanted to. We're calling our exporter otlp/ls to signal to us that we are using the OTLP exporter to send the data to Lightstep.
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OpenTelemetry Collector: A Friendly Guide for Devs
Then, we set up a batch processor that batches up the spans together and every 1 second sends the batch forward. In production, you would want more than 1 second, but I set this here to 1 second for instant feedback in Jaeger.
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OpenTelemetry in Dotnet
Batch allows for metrics, traces etc to be batched into bundles. The default is 8192 and then it will send, the timeout is the max time before sending regardless. I'd highly recommend utilising batches if you're dealing with high volumes of traffic.
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Prometheus Agent Mode, for Metric Forwarding
There were a bunch of alternatives to solve this before, like grafana agent [0], vm agent [1] or opentelemetry collector [2].
[0] - https://github.com/grafana/agent
[1] - https://github.com/VictoriaMetrics/VictoriaMetrics/tree/mast...
[2] - https://github.com/open-telemetry/opentelemetry-collector
GORM
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Go ORMs Compared
GORM is a comprehensive ORM tool in Go, offering a code-first approach which allows defining database schemas using struct tags in Go. It's known for its developer-friendly nature, making it suitable for both beginners and experienced users. GORM supports a variety of SQL databases like MySQL, PostgreSQL, and SQLite. It's designed to be flexible, allowing developers to drop down to raw SQL when necessary. However, it's important to be cautious about its performance implications in large-scale applications.
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6 🔥 Awesome Golang packages (web devs)
Homepage: https://gorm.io/
- Tenha controle sobre seu SQL com Golang e SQLC
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Build an Event-Driven Uptime Monitor in Go 🚀
Since most of these APIs will be simple CRUD (Create/Read/Update/Delete) endpoints, let's build this service using GORM, an ORM library that makes building CRUD endpoints really simple.
- [OpenSource] I am building high performance Plex alternative in Go for Movies and TV Show
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Building Robust Applications in Go: Integrating Envconfig, Gorm, and OpenSearch
After successfully configuring the application, it's time to delve into integrating the data layer. For this purpose, I will utilize gorm, a powerful SQL ORM that facilitates rapid development of the data layer using model structs.
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Why ORMs are so hated?
I have never hated gorm and it serves me well. However I tend to feed it raw SQL very often.
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Golang RESTAPI boilerplate repository
Array of values with embedded value all pointed to the last value, reflect code was broken: https://github.com/go-gorm/gorm/pull/5901 data corruption
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Does Go, has something similar to Laravel eloquent (ORM) ?
Yes. I think the most popular is gorm (https://gorm.io). I use it myself and love it, but i know that many people are against using it. For simple queries, the code is looking really clean. If you have complex queries with e.g. sub selects, your code looks like a car accident.
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Tools besides Go for a newbie
IDE: use whatever make you productive. I personally use vscode. VCS: git, as golang communities use github heavily as base for many libraries. AFAIK Linter: use staticcheck for linting as it looks like mostly used linting tool in go, supported by many also. In Vscode it will be recommended once you install go plugin. Libraries/Framework: actually the standard libraries already included many things you need, decent enough for your day-to-day development cycles(e.g. `net/http`). But here are things for extra: - Struct fields validator: validator - Http server lib: chi router , httprouter , fasthttp (for non standard http implementations, but fast) - Web Framework: echo , gin , fiber , beego , etc - Http client lib: most already covered by stdlib(net/http), so you rarely need extra lib for this, but if you really need some are: resty - CLI: cobra - Config: godotenv , viper - DB Drivers: sqlx , postgre , sqlite , mysql - nosql: redis , mongodb , elasticsearch - ORM: gorm , entgo , sqlc(codegen) - JS Transpiler: gopherjs - GUI: fyne - grpc: grpc - logging: zerolog - test: testify , gomock , dockertest - and many others you can find here
What are some alternatives?
ent - An entity framework for Go
Xorm
SQLBoiler - Generate a Go ORM tailored to your database schema.
go-pg - Golang ORM with focus on PostgreSQL features and performance
pgx - PostgreSQL driver and toolkit for Go
beego orm
sqlc - Generate type-safe code from SQL
gorp - Go Relational Persistence - an ORM-ish library for Go
prisma-client-go - Prisma Client Go is an auto-generated and fully type-safe database client
bun - SQL-first Golang ORM
bun - Incredibly fast JavaScript runtime, bundler, test runner, and package manager – all in one
xorm - xorm是一个简单而强大的Go语言ORM库,通过它可以使数据库操作非常简便。本库是基于原版xorm的定制增强版本,为xorm提供类似ibatis的配置文件及动态SQL支持,支持AcitveRecord操作