Open Source Go Network Monitoring Software

Prometheus is a leading open source systems and service monitoring solution. It works by collecting metrics from configured targets at given intervals, evaluating rule expressions, and then displaying the results. It can also signal an alert if a condition is observed to be true. What sets Prometheus apart from other monitoring systems is its highly dimensional data model, powerful query language, autonomous single server nodes, among many other distinguishing features. It also offers several client libraries for easy instrumentation of services, as well as many integration options.

Increase confidence in code deployments, configuration changes and infrastructure changes with GoReplay! GoReplay is an innovative open source tool that captures and replays live HTTP traffic, using it to continuously test your system with real data. Now you don’t have to put up with risks that come with putting a third-party component in the critical path. With GoReplay you can analyze and record your application traffic without affecting it whatsoever. Use it for shadowing, load testing, monitoring and detailed analysis. You can trust GoReplay to accurately emulate production environments so you can make changes and deploy with confidence.

Netgraph is a packet sniffer tool that captures all HTTP requests/responses, and displays them in a web page. You can run Netgraph in your Linux server without a desktop environment installed, and monitor HTTP requests/responses in your laptop's browser.

Deepfence PacketStreamer is a high-performance remote packet capture and collection tool. It is used by Deepfence's ThreatStryker security observability platform to gather network traffic on demand from cloud workloads for forensic analysis. PacketStreamer sensors are started on the target servers. Sensors capture traffic, apply filters, and then stream the traffic to a central receiver. Traffic streams may be compressed and/or encrypted using TLS. The PacketStreamer receiver accepts PacketStreamer streams from multiple remote sensors and writes the packets to a local pcap capture file. PacketStreamer sensors collect raw network packets on remote hosts. It selects packets to capture using a BPF filter, and forwards them to a central receiver process where they are written in pcap format. Sensors are very lightweight and impose little performance impact on the remote hosts. PacketStreamer sensors can be run on bare-metal servers, on Docker hosts, and on Kubernetes nodes.

Anti-procrastination website and application blocker with scheduling. Perfect for students and parents alike. A free and open-source alternative to Cold Turkey. Made by Dang Nam Anh, Truong Duc Quan and Trieu Tran Duc Tri.

This is a small and simple application that runs as a Windows service to record metrics several times per second. Metrics can be very different. For example, memory usage by a process or ping to a host. The application does not require a DBMS. The data is stored in an open binary format. Data viewing is possible in the form of graphs of the history of changes and in tables of current values. The configuration setting is done without editing the config files - everything is available directly in the UI application.

Portmaster is a free and open-source application firewall that does the heavy lifting for you. Restore privacy and take back control over all your computer's network activity. With great defaults your privacy improves without any effort. And if you want to configure and control everything down to the last detail - Portmaster has you covered too. Developed in the EU 🇪🇺, Austria.

PingMe is a personal project to satisfy my needs of having alerts, most major platforms have integration to send alerts but its not always useful, either you are stuck with one particular platform, or you have to do alot of integrations. I needed a small app which i can just call from my backup scripts, cron jobs, CI/CD pipelines or from anywhere to send a message with particular information. And i can ship it everywhere with ease. Hence, the birth of PingMe. Everything is configurable via environment variables, and you can simply export the logs or messages to a variable which will be sent as message, and most of all this serves as a swiss army knife sort of tool which supports multiple platforms. Supported services Discord Email Microsoft Teams Mattermost Pushover Pushbullet RocketChat Slack Telegram Twillio

An app that's designed to monitor appengine urls to see if they are under lockdown. This relies on the host machine already having the gcloud tool installed and configured. It assumes it can simply request a list of projects for the actively set config on the host machine. *Note* you must have a config.yaml properly configured for this to work (and in the same directory as the binary). Please read the README here: https://github.com/pemcconnell/appengine-authstatus

Amazon EC2 System Monitor for macOS is a small agent that runs on every mac1.metal instance to provide on-instance metrics in CloudWatch. Currently the primary use case for this agent is to send CPU utilization metrics. This uses a serial connection attached via the AWS Nitro System and is forwarded to CloudWatch for the instance automatically. The agent is installed and enabled by default for all AMIs vended by AWS. It logs to /var/log/amazon/ec2/system-monitoring.log and can be updated via Homebrew. The package includes a shell script for enabling, disabling, and listing the current status of the agent according to launched. The Amazon EC2 System Monitor for macOS uses multiple goroutines to manage two primary mechanisms. The serial relay takes data from a UNIX domain socket and writes the data in a payload via a basic wire protocol. Runs a ticker that reads CPU utilization and sends the CPU usage percentage to the UNIX domain socket.

OpenFalcon is an expandable open source monitor resolution with high availability at enterprise-level. With the warm support and help of everyone, OpenFalcon has become one of the most popular monitor systems in China. Scalable monitoring system is necessary to support rapid business growth. Each module of Open-Falcon is super easy to scale horizontally. With RRA(Round Robin Archive) mechanism, the one-year history data of 100+ metrics could be returned in just one second. No critical single point of failure, easy to operate and deploy. Falcon-agent has already 400+ built-in server metrics. Users can collect their customized metrics by writing plugins or just simply run a script/program to relay metrics to falcon-agent. For easier management of alerting rules, Open-Falcon supports strategy templating, inheritance, and multiple alerting method, and callback for recovery. Open-Falcon could present multi-dimension graph, including user-defined dashboard/screen.

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 Technologies. It is used for monitoring and troubleshooting microservices-based distributed systems. OpenTracing compatible data model and instrumentation libraries include Go, Java, Node, Python, C++ and C#. Jaeger uses consistent upfront sampling with individual per service/endpoint probabilities and it has multiple storage backends: Cassandra, Elasticsearch, memory.

Nagios Proxy is a client server system intended to be used in a secure environment. The client will appear to external software as a Nagios service. It accepts any data on the Nagios command fifo and forwards it to the server. When HUPped it collects the config files and forward those to the server. The server will pass commands and config files on to the real Nagios process.

Nightingale is a distributed and high-performance monitoring system. Prometheus enterprise edition. Nightingale is a new generation of domestic intelligent monitoring system. It has good support for cloud-native scenarios and traditional physical machine virtual machine scenarios. It takes 10 minutes to complete the construction and is familiar with use in 1 hour. It has been verified by the massive data of the production environment of Didi, and hopes to create a benchmark for domestic monitoring. Nightingale released the v1 version on 2020.3.20, and it is currently the v5.0 version. Starting from this version, it has been collaboratively integrated with ecosystems such as Prometheus, VictoriaMetrics, Grafana, and Telegraf, and strives to create the best open-source operation and maintenance monitoring system in China.

Skydive is an open source real-time network topology and protocols analyzer providing a comprehensive way of understanding what is happening in your network infrastructure. Captures network topology, interface, bridge, and namespace attributes and keeps the history of all the modifications. Distributed probe, L2-L4 classifier, GRE, VXLAN, GENEVE, MPLS/GRE, MPLS/UDP tunneling support. Ability to follow a flow along a path in the topology. Support for external SDN Controllers or container-based infrastructure, OpenStack, OpenContrail, Docker. Supports extensions through API. Distributed, scalable, easy to deploy, only one static binary.

Understand your application quickly by seeing it in a real-time interactive display. Pick open-source or cloud-hosted options. Weave Scope automatically detects processes, containers, hosts. No kernel modules, no agents, no special libraries, no coding. Seamless integration with Docker, Kubernetes, DCOS and AWS ECS. See your Docker hosts, containers and services in real-time. Easily identify and correct issues to ensure the stability and performance of your containerized applications. View metrics, tags and metadata within the context of a process, container, service or host. Effortlessly navigate from processes inside your container to Docker hosts. Stop, start, pause and restart containers. View logs. Launch a command line. All without leaving Scope. Choose an overview of your container infrastructure, or focus on a specific microservice. Easily identify and correct issues to ensure the stability and performance of your containerized applications.

Package github /asavie/xdp allows one to use XDP sockets from the Go programming language. With the default UDP payload size of 1400 bytes, running on Linux kernel 5.1.20, on a tg3 (so no native XDP support) gigabit NIC, sendudp does around 980 Mb/s, so practically line rate. TL;DR: in the same environment, sending a pre-generated DNS query using an ordinary UDP socket yield around 30 MiB/s whereas sending it using the senddnsqueries example program yields around 77 MiB/s. Connecting a PC with Intel Core i7-7700 CPU running Linux kernel 5.0.17 and igb driver to a laptop with Intel Core i7-5600U CPU running Linux kernel 5.0.9 with e1000e with a cat 5E gigabit ethernet cable.