Open Source Go Network Monitoring Software for Mac
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Go Network Monitoring Software for Mac
View 58 business solutionsBrowse free open source Go Network Monitoring Software for Mac and projects below. Use the toggles on the left to filter open source Go Network Monitoring Software for Mac by OS, license, language, programming language, and project status.
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MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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Prometheus SNMP Exporter
SNMP Exporter for Prometheus
This exporter is the recommended way to expose SNMP data in a format that Prometheus can ingest. To simply get started, it's recommended to use the if_mib module with switches, access points, or routers using the public_v2 auth module, which should be a read-only access community on the target device. Note, that community strings in SNMP are not considered secrets, as they are sent unencrypted in SNMP v1 and v2c. For secure access, SNMP v3 is required. -
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NVIDIA GPU Exporter
Nvidia GPU exporter for prometheus using nvidia-smi binary
Nvidia GPU exporter for prometheus, using nvidia-smi binary to gather metrics. There are many Nvidia GPU exporters out there however they have problems such as not being maintained, not providing pre-built binaries, having a dependency to Linux and/or Docker, targeting enterprise setups (DCGM) and so on. -
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WatchYourLAN
Lightweight network IP scanner
WatchYourLAN is a local network monitoring tool that displays connected devices, providing insight into network activity and device status. -
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Grafana Alloy
OpenTelemetry Collector distribution with programmable pipelines
Grafana Alloy is an open source OpenTelemetry Collector distribution with built-in Prometheus pipelines and support for metrics, logs, traces, and profiles. Grafana Alloy is Grafana Labs’ distribution of the OpenTelemetry Collector. It is an OTLP-compatible collector with built-in Prometheus optimizations that also support signals across metrics, logs, traces, and profiles. Alloy was started at Grafana Labs and announced at GrafanaCON in 2024. The mission of the project is to create the best “big tent” collector that’s compatible with the most popular open-source observability ecosystems and includes enterprise-grade features to simplify operating at scale in a modern cloud-native infrastructure. -
MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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Grafana Agent
Vendor-neutral programmable observability pipelines
Grafana Agent is an OpenTelemetry Collector distribution with a configuration inspired by Terraform. It is designed to be flexible, performant, and compatible with multiple ecosystems such as Prometheus and OpenTelemetry. Grafana Agent is based on components. Components are wired together to form programmable observability pipelines for telemetry collection, processing, and delivery. -
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pgmetrics
Collect and display information and stats from a running PostgreSQL
pgmetrics is an open-source, zero-dependency, single-binary tool that can collect 350+ metrics from a running PostgreSQL server and display it in easy-to-read text format or export it as JSON and CSV for scripting. pgmetrics is a PostgreSQL monitoring tool that generates detailed reports on database performance, health, and usage. -
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Grafana Phlare
Continuous profiling aggregation system
Phlare is a Grafana project focused on storing and querying continuous profiling data, helping developers monitor resource usage and optimize application performance. -
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Jaeger
Monitor and troubleshoot transactions in complex distributed systems
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. -
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Nezha Monitoring
Self-hosted, lightweight server and website monitoring and O&M tool
Nezha is a self-hosted monitoring and alerting tool for servers, providing real-time tracking and notifications on server health and performance. -
Cynet All-in-One Cybersecurity PlatformCynet empowers MSPs and MSSPs with a comprehensive, fully managed cybersecurity platform that consolidates essential security functions into a single, easy-to-use solution. Cynet simplifies cybersecurity management, reduces operational overhead, and lowers costs by eliminating the need for multiple vendors and complex integrations.
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Network Flight Simulator
A utility to safely generate malicious network traffic patterns
flightsim is a lightweight utility used to generate malicious network traffic and help security teams to evaluate security controls and network visibility. The tool performs tests to simulate DNS tunneling, DGA traffic, requests to known active C2 destinations, and other suspicious traffic patterns. -
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Nightingale
A distributed and high-performance monitoring system
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. -
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Skydive
An open source real-time network topology and protocols analyzer
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. -
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PingMe
CLI tool which provides ability to send messages to multiple platforms
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 -
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Amazon EC2 System Monitor for macOS
Amazon EC2 System Monitor for macOS is the on instance agent
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. -
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Falcon+
An open-source and enterprise-level monitoring system
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. -
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GoReplay
The Swiss Army knife for testing and monitoring
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. -
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Netgraph
A cross platform http sniffer with a web UI
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. -
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PacketStreamer
Distributed tcpdump for cloud native environments
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. -
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SigLens
100x Efficient Log Management than Splunk
Siglens is an open-source signal analysis toolkit designed for processing and visualizing time-series data, commonly used in scientific and engineering applications. -
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Weave Scope
Monitoring, visualization and management for Docker and Kubernetes
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. -
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endlessh-go
A golang implementation of endlessh exporting Prometheus metrics
Endlessh is a great idea that not only blocks the brute force SSH attacks, but also wastes attackers time as a kind of counter-attack. Besides trapping the attackers, I also want to visualize the Geolocations and other statistics of the sources of attacks. Unfortunately the wonderful original C implementation of endlessh only provides text based log, but I do not like the solution that writes extra scripts to parse the log outputs, then exports the results to a dashboard, because it would introduce extra layers in my current setup and it would depend on the format of the text log file rather than some structured data. Thus I create this golang implementation of endlessh to export Prometheus metrics and a Grafana dashboard to visualize them. -
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xdp
Package xdp allows one to use XDP sockets
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.
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