swag
prometheus
swag | prometheus | |
---|---|---|
36 | 382 | |
9,812 | 52,843 | |
1.8% | 0.9% | |
8.1 | 9.9 | |
4 days ago | about 23 hours ago | |
Go | Go | |
MIT License | Apache License 2.0 |
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.
swag
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Seeking Advice on the Best Swagger Generation Approach for REST API
Hey Gophers, I'm exploring Swagger generation for a REST API in Go (using go-chi). Currently, I'm testing https://github.com/swaggo/swag/, but I'm uncertain if it's the optimal solution. What are your thoughts or recommendations?
- Como deixar o Swagger com tema dark mode usando Swaggo e Golang
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Building RESTful API with Hexagonal Architecture in Go
Swaggo is a tool that creates Swagger documentation for Go APIs. It makes documenting API endpoints easier, helping developers understand and use the API.
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go-ecommerce-microservices: A practical e-commerce microservices, built with cqrs, event sourcing, vertical slice architecture, event-driven architecture.
Some of the features: - ✅ Using Vertical Slice Architecture as a high level architecture - ✅ Using Event Driven Architecture on top of RabbitMQ Message Broker with a custom [Event Bus](pkg/messaging/bus/) - ✅ Using Event Sourcing in Audit Based services like [Orders Service](services/orders/) - ✅ Using CQRS Pattern and Mediator Patternon top of Go-MediatR library - ✅ Using Dependency Injection and Inversion of Controlon top of uber-go/fx library - ✅ Using RESTFul api with Echo framework and using swagger with swaggo/swag library - ✅ Using Postgres and EventStoreDB to write databases with fully supports transactions(ACID) - ✅ Using MongoDB and Elastic Search for read databases (NOSQL) - ✅ Using OpenTelemetry for collection Distributed Tracing with using Jaeger and Zipkin - ✅ Using OpenTelemetry for collection Metrics with using Prometheus and Grafana - ✅ Using Unit Test for testing small units with mocking dependent classes and using Mockery for mocking dependencies - ✅ Using End2End Test and Integration Test for testing features with all of their real dependeinces using docker containers (cleanup tests) and testcontainers-go library
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OpenAPI v4 Proposal
[1]https://github.com/swaggo/swag/issues/386
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[Request] Library Recommendation for Auto Swagger/OpenAPIv3 Documentation
I used this the other day and found it very easy to set up: https://github.com/swaggo/swag
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Public API documentation. What to use?
I use the fizz for developing my webservices + docs, it's smooth! There is swaggo but I don`t like it because the source code get dirty (lots of comments)
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Any Working Example for Swagger integartion with golang?
You can use swaggo/swag with code annotations
- Change host in Swagger API
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Swagger codegen or custom tool
checkout swaggo/swag.
prometheus
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Release Radar · April 2024 Edition: Major updates from the open source community
It's like Prometheus, but for logs. Okay it's not really to do with the Norse or Greek gods, instead Loki is a horizontally-scalable, highly-available, multi-tenant log aggregation system inspired by the open source project Prometheus. Built by Grafana Labs, Loki is designed for ease of use. Instead of indexing the contents of the logs, Loki provides a set of labels for each log stream. The latest update includes query acceleration with Bloom filters, native OTel support, Helm charts, and more. Check out the changelog for all the major changes and deprecations.
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Fivefold Slower Compared to Go? Optimizing Rust's Protobuf Decoding Performance
WriteRequest::timeseries is a vector (https://github.com/prometheus/prometheus/blob/main/prompb/re...) and
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Tools for frontend monitoring with Prometheus
Developers widely use Prometheus as a system for operational monitoring and alerting for their projects. Here is a list of tools for monitoring frontend services with Prometheus.
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The power of the CLI with Golang and Cobra CLI
Just to give an example of the power of Go for CLI builds, you may have already used or at least heard of Docker, Kubernetes, Prometheus, Terraform, but what do they all have in common? They all have a large part of their usability via CLI and are developed in Go 🐿.
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On Implementation of Distributed Protocols
Distributed system administrators need mechanisms and tools for monitoring individual nodes in order to analyze the system and promptly detect anomalies. Developers also need effective mechanisms for analyzing, diagnosing issues, and identifying bugs in protocol implementations. Logging, tracing, and collecting metrics are common observability techniques to allow monitoring and obtaining diagnostic information from the system; most of the explored code bases use these techniques. OpenTelemetry and Prometheus are popular open-source monitoring solutions, which are used in many of the explored code bases.
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Golang: out-of-box backpressure handling with gRPC, proven by a Grafana dashboard
Setting up monitoring for a system, especially one involving GRPC communication, provides crucial visibility into its operations. In this guide, we walked through the steps to instrument both a GRPC server and client with Prometheus metrics, exposed those metrics via an HTTP endpoint, and visualized them using Grafana. The Docker-Compose setup simplified the deployment of both Prometheus and Grafana, ensuring a streamlined process.
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Monitoring, Observability, and Telemetry Explained
Alerting and Notification: Select a tool with flexible alerting mechanisms to proactively detect anomalies or deviations from defined thresholds. Consider asking questions like "Does this tool offer customizable alerting options and support notification channels that suit our team's communication preferences?" A tool like Prometheus provides robust alerting capabilities.
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Observability at KubeCon + CloudNativeCon Europe 2024 in Paris
Prometheus
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Top 5 Docker Container Monitoring Tools in 2024
Prometheus is an open-source monitoring and alerting toolkit. It is designed to monitor highly dynamic containerized systems, making it an excellent choice for monitoring Docker containers and Kubernetes clusters.
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Install and Setup Grafana & Prometheus on Ubuntu 20.04 | 22.04/EC2
wget https://github.com/prometheus/prometheus/releases/download/v2.46.0/prometheus-2.46.0.linux-amd64.tar.gz
What are some alternatives?
GoSwagger - Swagger 2.0 implementation for go
metrics-server - Scalable and efficient source of container resource metrics for Kubernetes built-in autoscaling pipelines.
gin-swagger - gin middleware to automatically generate RESTful API documentation with Swagger 2.0.
skywalking - APM, Application Performance Monitoring System
fiber-swagger - fiber middleware to automatically generate RESTful API documentation with Swagger 2.0.
Jolokia - JMX on Capsaicin
Nginx Proxy Manager - Docker container for managing Nginx proxy hosts with a simple, powerful interface
Telegraf - The plugin-driven server agent for collecting & reporting metrics.
echo-swagger - echo middleware to automatically generate RESTful API documentation with Swagger 2.0.
JavaMelody - JavaMelody : monitoring of JavaEE applications
jaeger - CNCF Jaeger, a Distributed Tracing Platform
Glowroot - Easy to use, very low overhead, Java APM