Search Results for "bandwidth monitor java"

The MCP System Monitor is a tool that exposes system metrics via the Model Context Protocol (MCP), allowing Large Language Models (LLMs) to retrieve real-time system information through an MCP-compatible interface. ​

Console-based JVM monitoring - when you just want to SSH into a server and see what’s going on. jvm-top lets you monitor your JVM server applications from the terminal.

frp stands for exactly what it is: a fast reverse proxy. It helps you expose a local server behind a NAT or firewall to the Internet. It is currently under development, but already supports TCP and UDP, as well as HTTP and HTTPS protocols where requests can be forwarded to internal services by domain name. It also has a P2P connect mode and many other nifty features. These include configuration files, environment variables, a dashboard that shows you frp's status and proxies' statistics...

...Under the hood it uses containers and Container Networking Interface (CNI) along with the same core OpenFaaS components from the main project. To deploy microservices and functions that you can update and monitor remotely. When you don't have the bandwidth to learn or manage Kubernetes. To deploy embedded apps in IoT and edge use-cases. To distribute applications to a customer or client. You have a cost sensitive project - run faasd on a 1GB VM for 5-10 USD / mo or on your Raspberry Pi. When you just need a few functions or microservices, without the cost of a cluster.

As on-the-ground microservice practitioners are quickly realizing, the majority of operational problems that arise when moving to a distributed architecture are ultimately grounded in two areas: networking and observability. It is simply an orders of magnitude larger problem to network and debug a set of intertwined distributed services versus a single monolithic application. Jaeger, inspired by Dapper and OpenZipkin, is a distributed tracing system released as open source by Uber...

...Metrics are another vital source of information when debugging production systems. Elastic APM agents automatically pick up basic host-level metrics and agent-specific metrics, like JVM metrics in the Java Agent, and Go runtime metrics in the Go Agent.