lme
Grafana
lme | Grafana | |
---|---|---|
11 | 379 | |
684 | 60,395 | |
- | 0.7% | |
3.4 | 10.0 | |
about 1 year ago | 5 days ago | |
Shell | TypeScript | |
Apache License 2.0 | GNU Affero General Public License v3.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
lme
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SysMon
This may help https://github.com/ukncsc/lme/blob/master/docs/chapter2.md
- Syslog Analyistics for cyberSecurity
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500+ windows server logging
But if you're still commited: there are too many variables to calculate it with any amount of certainty but you can measure it. Start off by setting up event forwarding on a small batch of test servers with only security audit logs included in the default configuration. Let it run for a few days and measure the usage and extrapolate from there. How to do most of it, you're going to find from MS documentation, but NCSC has a nice summary of it here: https://github.com/ukncsc/lme
- Active Directory monitoring
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What are the Implications of an automation tool, using PsExec to execute commands (of any kind) on client machines, from a domain controller?
Much appreciated. I'm a sole IT guy in a small shop so always keen to hear what others have found. I'm looking at: https://github.com/ukncsc/lme and Security Onion...
- Sysmon for SME <50 employees?
- All sysmon event types and their fields explained
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Free EDR solutions
https://github.com/ukncsc/lme is this
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I want to buy a SIEM, but I don't know which one
Use something based off of a free version of Elasticsearch, like Logging Made Easy: https://github.com/ukncsc/lme or SIEMMonster or Security Onion.
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Requesting /r/lme - zero posts in 9 years and one inactive mod.
Would also be repurposing sub to be a resource for Logging Made Easy, a community SIEM project by UKNCSC: https://github.com/ukncsc/lme
Grafana
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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 your Nomad environment.
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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.
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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.
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4 facets of API monitoring you should implement
Prometheus: Open-source monitoring system. Often used together with Grafana.
- Grafana: Open and composable observability and data visualization platform
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The Mechanics of Silicon Valley Pump and Dump Schemes
Grafana
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Reverse engineering the Grafana API to get the data from a dashboard
Yes I'm aware that Grafana is open source but the method I used to find the API endpoints is far quicker than digging through hundreds of files in a codebase I'm not familiar with.
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Building an Observability Stack with Docker
So, you will add one last container to allow us to visualize this data: Grafana, an open-source analytics and visualization platform that allows us to see traces and metrics simply. You can set Grafana to read data from both Tempo and Prometheus by setting them as datastores with the following grafana.datasource.yaml config file:
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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:
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Root Cause Chronicles: Quivering Queue
Robin switched to the Grafana dashboard tab, and sure enough, the 5xx volume on web service was rising. It had not hit the critical alert thresholds yet, but customers had already started noticing.
What are some alternatives?
TheHive - TheHive: a Scalable, Open Source and Free Security Incident Response Platform
Thingsboard - Open-source IoT Platform - Device management, data collection, processing and visualization.
OSSEC - OSSEC is an Open Source Host-based Intrusion Detection System that performs log analysis, file integrity checking, policy monitoring, rootkit detection, real-time alerting and active response.
Apache Superset - Apache Superset is a Data Visualization and Data Exploration Platform [Moved to: https://github.com/apache/superset]
Wazuh - Wazuh - The Open Source Security Platform. Unified XDR and SIEM protection for endpoints and cloud workloads.
Heimdall - An Application dashboard and launcher
eiq-er-ce - Community Edition of the EclecticIQ Endpoint Security Platform; An open source and extensible platform to manage and monitor endpoints, based on osqery agent
CortexDocs - Documentation of Cortex
Thingspeak - ThingSpeak is an open source “Internet of Things” application and API to store and retrieve data from things using HTTP over the Internet or via a Local Area Network. With ThingSpeak, you can create sensor logging applications, location tracking applications, and a social network of things with status updates.
sysmon-cheatsheet - All sysmon event types and their fields explained
uptime-kuma - A fancy self-hosted monitoring tool