Malcolm is a powerful, easily deployable network traffic analysis tool suite for full packet capture artifacts (PCAP files), Zeek logs and Suricata alerts.
-
Updated
Jun 27, 2024 - Python
Malcolm is a powerful, easily deployable network traffic analysis tool suite for full packet capture artifacts (PCAP files), Zeek logs and Suricata alerts.
Plugins for Wazuh Dashboard
Malcolm is a powerful, easily deployable network traffic analysis tool suite for full packet capture artifacts (PCAP files), Zeek logs and Suricata alerts.
DocKit | GUI clients for elasticsearch, opensearch and etc
This repository contains a microservice-based Sample App demonstrating observability capabilities in the Amazon OpenSearch Service.
Scalable Kubernetes logging stack with Opensearch
We all know Go is fast. Would you like to go even faster? Pair it with OpenSearch and find out.
OpenSearch-Dashboards plugin to create custom visualisations
Magento 2 Docker to Development (For Apple Silicon): Nginx + Redis + PHP-FPM + MySQL + xDebug + Mailhog + RabbitMQ + OpenSearch + Varnish
Malcolm is a powerful, easily deployable network traffic analysis tool suite for full packet capture artifacts (PCAP files), Zeek logs and Suricata alerts.
Our community dashboards for uberAgent data visualizations in Kibana and OpenSearch.
Access the OpenSearch dashboard of a domin deployed in a private subnet via. a Nginx Proxy
The OpenSearch Dashboards Query Workbench enables you to query your OpenSearch data using either SQL or PPL
Simple Example of REST API Endpoint that convert OpenSearch Dashboard's Alert HTTP Request into Telegram Send Message
Candlestick chart visualization plugin that provide analytic graph for studying the price movement over a period of time in Opensearch Dashboards
OpenSearch Day 2 lifecycle management with KubeDB managed OpenSearch Databases
Opensearch.Client, Elasticsearch-Nest kütüphanesinin açık kaynak bir klonudur. Opensearch-dashboard için de kibana'nın açık kaynak bir klonu olduğunu söyleyebiliriz.
REST API with Spring Boot and Opensearch
This is the project for my Distributed Systems' university course. It focuses on the visualization of a large number of geolocalized tweets.
The project includes instructions on how to set up and configure the pipeline, as well as sample code and configuration files that can be used as a starting point. It also includes a sample dashboard built on OpenSearch Dashboard that showcases the potential of the pipeline for data analysis and visualization.
Add a description, image, and links to the opensearch-dashboards topic page so that developers can more easily learn about it.
To associate your repository with the opensearch-dashboards topic, visit your repo's landing page and select "manage topics."