sql-migrate
prometheus
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sql-migrate | prometheus | |
---|---|---|
9 | 381 | |
3,086 | 52,748 | |
- | 1.4% | |
6.7 | 9.9 | |
2 days ago | about 12 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.
sql-migrate
- GORM
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How to seed database for testing?
I'd never did this with sqlite3, but I think sql-migrate should work (https://github.com/rubenv/sql-migrate)
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Can anyone help me on how you are using golang with databases in production systems?
I use sqlboiler which generates an ORM from your database, and sql-migrate which is a tool for managing SQL migrations. Although you have to write your migrations in SQL, which IMHO is a plus.
- How to use sql-migrate in Kubernetes?
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Is there a DB framework that can manage migrations like Ruby on Rails ?
Currently a fan of this one https://github.com/rubenv/sql-migrate
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Go Echo API Server Development
db migration by sql-migrate
- Most recommended database migration tool? using golang for the record
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How do you install commands using go.mod
There are some packages in my project that are not used in the source code, but they're used as commands (i.e. https://github.com/vektra/mockery https://github.com/rubenv/sql-migrate).
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What is the fastest way to clear my SQL database between integration tests?
Keep your migrations in the code repo and use a tool like sql-migrate to automatically apply them for you. At my job, we run a new container for each package's tests, and create a new db with the migration scripts for every test. It's certainly a bit slower, but the reproducibility is worth it.
prometheus
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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
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4 facets of API monitoring you should implement
Prometheus: Open-source monitoring system. Often used together with Grafana.
What are some alternatives?
goose
metrics-server - Scalable and efficient source of container resource metrics for Kubernetes built-in autoscaling pipelines.
migrate - Database migrations. CLI and Golang library.
skywalking - APM, Application Performance Monitoring System
skeema - Declarative pure-SQL schema management for MySQL and MariaDB
Jolokia - JMX on Capsaicin
TinyGo - Go compiler for small places. Microcontrollers, WebAssembly (WASM/WASI), and command-line tools. Based on LLVM.
Telegraf - The plugin-driven server agent for collecting & reporting metrics.
noms - The versioned, forkable, syncable database
JavaMelody - JavaMelody : monitoring of JavaEE applications
BTrDB - Berkeley Tree Database (BTrDB) server
Glowroot - Easy to use, very low overhead, Java APM