sagan
prometheus
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sagan | prometheus | |
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103 | 381 | |
3,102 | 52,748 | |
- | 1.4% | |
7.2 | 9.9 | |
about 1 year ago | about 10 hours ago | |
HTML | Go | |
BSD 3-clause "New" or "Revised" 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.
sagan
- Backend: ¿cómo avanzar?
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Conceptos básicos sobre el backend
Empeza con esto https://spring.io/
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I think I messed up my CS degree. I am about to graduate and don't feel like I know anything. What do I do?
If you want to do web apps, I'd recommend Django (a python framework) https://docs.djangoproject.com/en/4.1/, but you can do Rails, or Phoenix, or Spring Boot, or whatever. It doesn't terribly matter *which* one you do, as they share characteristics, and, chances are, your company will be using a different one :). Just pick one and go. You can do it. You know a lot more than you think.
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🌦️ WeatherAPI | Introducing real-time weather inside a game.
With the idea planted, and already internalized that I would use spring-boot to create our API, I needed to decide on which engine it would be built. I had been studying Unreal Engine for some time, but because I had more know-how in Unity and because I found this AMAZING weather system, I opted for our last alternative.
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Getting Started with Backend Development in Kotlin Using Spring Boot 3 & MongoDB
This is an introduction article on how to build a RESTful application in Kotlin using Spring Boot 3 and MongoDB Atlas.
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Dependency injection with AWS Lambdas in java
As said in the title, we will focus on the dependency inversion principle and one of its application : dependency injection. For production-ready applications, it would be better to rely on a framework and not implement its own container. For it, the java ecosystem have 3 frameworks available : Spring, Guice and Dagger.
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How do I switch to a different tech stack when companies want experience in that specific stack?
Im stuck between just starting up a project, or if following some starter project for learning. I did a tutorial on the spring.io website, but thats about all I have done so far.
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Struggling to use Spring in internship
I've been following the guides at spring.io, but there's just so many guides there. My company has a template for starting new projects (includes frontend + backend + database) so I decided to start my project using it, thinking the basic guides I followed on REST APIs would help me but I quickly realized it's more complicated than I thought.
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Struggling to learn and develop using Spring in internship
Thanks for the advice. I followed some guides on spring.io, but because I am using a template for starting new projects provided by my company, I found most of them couldn't really translate properly to the template.
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Spring Boot pt 2
Spring makes building web applications fast and hassle-free (spring.io). By removing much of the boilerplate code and configuration associated with web development, you get a modern web programming model that streamlines the development of server-side HTML applications, REST APIs, and bidirectional, event-based systems.
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?
spring-petclinic - A sample Spring-based application
metrics-server - Scalable and efficient source of container resource metrics for Kubernetes built-in autoscaling pipelines.
privacyguides.org - Protect your data against global mass surveillance programs.
skywalking - APM, Application Performance Monitoring System
Spring Boot - Spring Boot
Jolokia - JMX on Capsaicin
intellij-plugins - Open-source plugins included in the distribution of IntelliJ IDEA Ultimate and other IDEs based on the IntelliJ Platform
Telegraf - The plugin-driven server agent for collecting & reporting metrics.
Spring Data JPA - Simplifies the development of creating a JPA-based data access layer.
JavaMelody - JavaMelody : monitoring of JavaEE applications
xatkit - The simplest way to build all types of smart chatbots and digital assistants
Glowroot - Easy to use, very low overhead, Java APM