Netty VS Grafana

Netty Reviews

Grafana Reviews

Netty mentions (30)

• New scalable, fault-tolerant, and efficient open-source MQTT broker

  We use Netty (https://netty.io/) as the source of the MQTT communication, and we build the MQTT features the MQTT broker should support ourselves on top of that. - Source: Hacker News / 4 months ago

• Modern Async Primitives on iOS, Android, and the Web

  In this space, we also have the somewhat related term blocking. Java's NIO library is one well-known non-blocking tool used for managing multiple tasks on a single Java thread. When listening to sockets, most of the time a thread is just blocked, doing nothing until it receives some data. So, it's efficient to use a single thread for monitoring many sockets, to increase the likelihood of the thread having some... - Source: dev.to / 5 months ago

• Lessons learned from picking a Java driver for Amazon ElastiCache for Redis - Part 2

  Given the fact that Lettuce is built with Netty, we also immediately noticed quite an impact on the initialization time (cold start) of our lambda function. Netty is really fast while executing, but takes a bit of time to initialize. The new Lambda Snapstart functionality might help with that. - Source: dev.to / about 1 year ago

• what does this error mean

  Io.netty or netty.io is a Java network library, so it does stuff with servers (Minecraft's multiplayer, Chrome websites, local programs talking with each other etc.). Source: over 1 year ago

• How to invite friends in java?

  If you're still determined, I'll give you two options: 1. Sockets: A simple but primitive way of transferring and receiving data. Everything has to be done synchronously. 2. Netty: A much more robust and flexible asynchronous networking library, but requires much more boilerplate to get started. Source: over 1 year ago

Grafana mentions (197)

• Docker Log Observability: Analyzing Container Logs in HashiCorp Nomad with Vector, Loki, and Grafana

  Monitoring application logs is a crucial aspect of the software development and deployment lifecycle. In this post, we'll delve into the process of observing logs generated by Docker container applications operating within HashiCorp Nomad. With the aid of Grafana, Vector, and Loki, we'll explore effective strategies for log analysis and visualization, enhancing visibility and troubleshooting capabilities within... - Source: dev.to / about 2 months ago

• Golang: out-of-box backpressure handling with gRPC, proven by a Grafana dashboard

  To help us visualize these scenarios, we'll build a Grafana Dashboard so we can follow along. - Source: dev.to / 24 days ago

• Monitoring, Observability, and Telemetry Explained

  Visualization and Analysis: Choose a tool with intuitive and customizable dashboards, charts, and visualizations. A question to ask is, "Are the visualization features of this tool user-friendly and adaptable to our team's specific needs?" Tools like Grafana and Kibana provide powerful visualization capabilities. - Source: dev.to / 25 days ago

• 4 facets of API monitoring you should implement

  Prometheus: Open-source monitoring system. Often used together with Grafana. - Source: dev.to / about 2 months ago

• How to collect metrics from node.js applications in PM2 with exporting to Prometheus

  In example above, we use 2 additional parameters: code (HTTP response code) and page (page identifier), which provide detailed statistics. For example, you can build such graphs in Grafana:. - Source: dev.to / 3 months ago