Malcolm is a powerful, easily deployable network traffic analysis tool suite for full packet capture artifacts (PCAP files), Zeek logs and Suricata alerts.
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Updated
Sep 19, 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.
This repository contains a microservice-based Sample App demonstrating observability capabilities in the Amazon OpenSearch Service.
The OpenSearch Dashboards Query Workbench enables you to query your OpenSearch data using either SQL or PPL
Magento 2 Docker to Development (For Apple Silicon): Nginx + Redis + PHP-FPM + MySQL + xDebug + Mailhog + RabbitMQ + OpenSearch + Varnish
Scalable Kubernetes logging stack with Opensearch
Elasticsearch GUI client for Mac, windows and linux, Opensearch GUI client for Mac, windows and linux
We all know Go is fast. Would you like to go even faster? Pair it with OpenSearch and find out.
Access the OpenSearch dashboard of a domin deployed in a private subnet via. a Nginx Proxy
OpenSearch-Dashboards plugin to create custom visualisations
Programmable database gateway
Candlestick chart visualization plugin that provide analytic graph for studying the price movement over a period of time in Opensearch Dashboards
REST API with Spring Boot and Opensearch
An alternative to "wazuh-docker" with CI/CD-built images for amd64 and arm64, published on Docker Hub.
A Simple Stack for @meetc-icpl
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.
TuneInsights is a streaming data pipeline that uses Apache Kafka to collect and process data from Spotify API. The project aims to provide real-time insights and analytics on Spotify Playback data using Opensearch Dashboard to help users analyze and understand trends, patterns, and user behavior on Spotify platform.
Connect a locally hosted OpenSearch dashboard server to an Amazon OpenSearch hosted domain
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