
Netdata
Zabbix
Datadog
Nagios
Grafana
Prometheus
NewRelic
Kibana
PlexTrac
AttackForge
dradis
Faraday IDE
SysReptor
PentestReportAI
Cyver
Pentester
Netdata collects metrics per second & presents them in low-latency dashboards. It is designed to run on all physical & virtual servers, cloud deployments, Kubernetes clusters, and edge/IoT devices, to monitor your systems, containers & applications.
Scales nicely from a single server to thousands of servers, even in complex multi/mixed/hybrid cloud environments & given enough disk space it can keep your metrics for years.
KEY FEATURES:
๐ฅ Collects metrics from 800+ integrations OS metrics, container metrics, VMs, hardware sensors, apps metrics, OpenMetrics exporters, StatsD & logs.
๐ช Real-Time, Low-Latency, High-Resolution All metrics are collected per second & are on the dashboard immediately after data collection. Netdata is fast.
๐ถโ๐ซ๏ธ Unsupervised Anomaly Detection Trains multiple ML models for each metric collected & detects anomalies based on the past behavior of each metric individually.
๐ฅ Powerful Visualization Clear & precise visualization that allows you to quickly understand any dataset, but also to filter, slice & dice the data directly on the dashboard, without the need to learn any query language.
๐ Out of box Alerts Hundreds of alerts out of the box to detect common issues & pitfalls, revealing issues that can easily go unnoticed. It supports several notification methods to let you know when your attention is needed.
๐ systemd Journal Logs Explorer (BETA - nightly release channel) Provides a systemd journal logs explorer, to view, filter & analyze system & apps logs by directly accessing systemd journal files on individual hosts & infrastructure-wide logs centralization servers.
๐ Low Maintenance Fully automated in every aspect: automated dashboards, out-of-the-box alerts, auto-detection & discovery of metrics, zero-touch ML, easy scalability, high availability &CI/CD friendly.
โญ Open & Extensible Netdata is a modular platform that can be extended in all possible ways and it also integrates nicely with other monitoring solutions.
PlexTracโs automated platform accelerates report writing and the findings handoff by enabling pentesters to reuse content, leverage over 25,000 pre-built findings writeups (CWEs, CVEs, and KEVs), customize templates without code, analyze data across sources, and streamline QA with Google-doc-like features. And with our new, native AI solution โ Plex AI โ you can auto-generate finding descriptions, remediation recommendations, and security narratives, saving hours of manual effort and scaling report authoring with ease.
PlexTrac centralizes findings from automated pentesting tools, vulnerability scanners, etc., providing a single source of truth. With PlexTrac Priorities, you can contextually score those findings to pinpoint what needs fixing first. Its customizable scoring equation highlights the most critical threats, helping allocate resources for maximum impact. The Priorities dashboard also keeps stakeholders informed, showcasing risk status and progress at a glance.
Netdata
PlexTracPlexTrac's answer:
PlexTrac is the only platform that bridges the gap between offensive and defensive security teams by bringing together pentest reporting, vulnerability management, and threat exposure tracking in one unified, workflow-driven platform.
Unlike traditional tools that just generate static reports or list findings, PlexTrac enables real-time collaboration, automated risk scoring, and continuous validation โ helping teams move from findings to fixes faster.
PlexTrac's answer:
People choose PlexTrac because it:
Saves time โ teams report saving 30โ70% of the time previously spent on manual reporting and remediation tracking.
Centralizes security data โ findings from scanners, pentests, bug bounty platforms, and red team ops are all in one place.
Prioritizes what matters โ contextual risk scoring helps teams focus on the vulnerabilities that actually pose a business risk.
Enables automation โ from report generation to ticketing workflows with Jira, ServiceNow, and more.
Works for both enterprises and MSSPs โ with multi-tenant support, customizable templates, and powerful integrations.
Bottom line: PlexTrac turns vulnerability noise into actionable, trackable, and reportable outcomes.
PlexTrac's answer:
PlexTrac primarily serves:
Enterprise cybersecurity teams (especially blue and purple teams)
Red teams and penetration testers looking to streamline reporting and remediation
MSSPs who need a scalable platform to manage clients, reports, and workflows
CISOs and security leaders who want visibility into remediation progress and risk trends
These users are typically frustrated by manual workflows, fragmented tools, and poor collaboration across security functions.
PlexTrac's answer:
PlexTrac was founded by Dan DeCloss, a former red teamer and security leader, who experienced firsthand the pain of manual reporting, siloed data, and disconnected remediation workflows.
He built PlexTrac to bridge the communication gap between red and blue teams, helping security professionals work faster, collaborate better, and reduce real risk more efficiently.
Since its founding, PlexTrac has evolved from a better reporting tool to a comprehensive threat exposure management platform used by hundreds of security teams worldwide.
PlexTrac's answer:
Fortune 500 enterprises across finance, healthcare, and tech
Leading MSSPs and consultancies who deliver pentesting and security services at scale
Federal government agencies and defense contractors requiring compliance with frameworks like NIST and CMMC
Higher education institutions with active security testing programs
Based on our record, Netdata seems to be more popular. It has been mentiond 6 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
If you've ever set up Netdata, you know that feeling โ hundreds of real-time charts, per-second granularity, metrics you didn't even know your kernel exposed. It's a wonderful piece of software, genuinely one of the best open-source monitoring tools out there. - Source: dev.to / 4 months ago
Pros are instant HA and Migration. Cons are huge bandwidth hits. With your 4x1gbe you would be maxed out on replicating those 25 VMs. You wouldn't have anything for users. I have a test lab with 4 nodes, 22cpu 100gbram and 30tb space, using low end stuff, 12hdds. Proxmox, ceph dashboard, (the native ceph dashboard you can turn on), and a netdata.cloud account. So I watch it like a hawk and like to load test. Source: over 3 years ago
Docker-compose, not k8s. Set up a script to update the OS, pull all your containers and reboot after hours once a week or once a day. Make sure the script specifies non interactive. Set up alerting for low disk space, see https://netdata.cloud or use your own tool. - Source: Hacker News / over 4 years ago
There can be some issues if you mix and match elastic versions, wazuh versions, logstash versions. But the documentation guides you very well with matrix of what is and is not compatible. You will want a beefy VM to run it in, I started smaller than I should of, and after running a while it kind of puked on itself, certain things would randomly stop working. After giving it 32GB RAM, plenty of disk 4TB, and 8... Source: almost 5 years ago
$ brew info netdata Netdata: stable 1.29.3 (bottled) Diagnose infrastructure problems with metrics, visualizations & alarms Https://netdata.cloud/ Not installed From: https://github.com/Homebrew/homebrew-core/blob/HEAD/Formula/netdata.rb License: GPL-3.0-or-later ==> Dependencies Build: autoconf โ, automake โ, pkg-config โ Required: json-c โ, libuv โ, lz4 โ, openssl@1.1 โ ==> Caveats To start netdata: brew... Source: almost 5 years ago
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