jwt-go VS prometheus

My only suggestion, because I haven't seen anyone else mention it, is researching your dependencies. In the app you're using https://github.com/dgrijalva/jwt-go, which isn't maintained anymore and in their repo they state that you should use https://github.com/golang-jwt/jwt instead.

There are so many tools created tools using golang like the gh-cli, cockrach-db, jwt, etc. You can see a whole list of applications/tools/frameworks written in Go from this awesome list

If it is using "github.com/golang-jwt/jwt" under the hood than all you have to do is override the Valid() method on your claims object.

The code logic is query user record from database by input parameter username, if not found, return Incorrect username or password error, if password was correct, issue token. The jwt library used here is golang-jwt/jwt

Abandon https://github.com/dgrijalva/jwt-go library due security issues. Now I use https://github.com/golang-jwt/jwt#jwt-go

Use jwt (jwt.io, https://github.com/golang-jwt/jwt) shoveling the params into a MapClaims.

Go JWT Implementation Link

The boilerplate application uses the dgrijalva / jwt-go library to work with JWTs. Besides the standard set of claims fields, this library allows you to describe additional fields. In the application, this makes it possible to write to the token the ID of the user to whom it was issued. The library supports the NewWithClaims () and Parse () functions used in the AuthHandler application to create and validate tokens. Also, the Echo framework has a JWT middleware that uses the specified library to validate tokens. This middleware is hooked up in the ConfigureRoutes () function of the template application that declares the routing.

There might be many different packages, but I think this one is the most popular: https://github.com/dgrijalva/jwt-go. So let’s copy its URL, and run go get in the terminal to install the package:

WriteRequest::timeseries is a vector (https://github.com/prometheus/prometheus/blob/main/prompb/re...) and

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.

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 🐿.

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.

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.

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.

Prometheus

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.

wget https://github.com/prometheus/prometheus/releases/download/v2.46.0/prometheus-2.46.0.linux-amd64.tar.gz

Prometheus: Open-source monitoring system. Often used together with Grafana.