redis-om-dotnet VS elasticsearch-mapper-attachments

The Best place to learn about Redis OM is currently it's README in GitHub

Redis OM .NET: an official .NET library that offers (CLR) object mapping and query translation. I can recommend it wholeheartedly, even though it isn’t perfect. The excellent community and maintainers go above and beyond the call of duty. Ask them anything on the official Discord server.

To connect Redis from .NET Required Some sort of DB Driver & ORM. StackExchange Redis is popular amongst .NET Developers to connect Redis instances. But for easy use of Redis search & Redis JSON features, we will use Redis OM. NET.

Redis is a NoSQL database that's loved for its simplicity and speed. Those two virtues make it the most loved database by developers. But there's a problem inherent in Redis if you want to store more complicated objects. Redis is a key-value data structure store. This means that if you're going to perform CRUD(Create Read Update and Delete) operations on your data, and the only way you care to access the data is by your key, you'll have no problem. But what if we wanted to look up items by value? This is where things can get tricky in Redis, and that's also where the story of Redis OM begins. Querying items by their values in Redis requires a fair amount of legwork on the developers' part to manually build and maintain secondary indexes for those objects. After that, you need to execute several commands to perform your query. With Redis OM and RedisJSON, you can build your model ahead of time and query them with a LINQ interface.

Elasticsearch - www.elastic.co/

The increasing complexity of modern systems led to the rise of AIOps (Artificial Intelligence for IT Operations) and observability practices. AIOps leveraged machine learning algorithms to automate problem detection, analysis, and resolution. Observability focused on gaining insights into system behaviour through metrics, logs, and traces. As a result, tools like Prometheus, Grafana, and ELK stack (Elasticsearch, Logstash, Kibana) gained popularity.

My only experience with NetFlow collection is on my home firewall/router running pfSense Community Edition, which is free to download and can be installed on a wide assortment of X86 hardware. I installed the Softflowd package, which exports NetFlow data to a dedicated Elasticsearch/Logstash/Kibana (ELK) server on my LAN. I believe Security Onion and ElastiFlow also can be NetFlow collectors.

Elasticsearch, Logstash, and Kibana (ELK) Stack: An open source suite of tools for log management and analysis, providing real-time insights into security events.

Recently I have taken an interest in big data. https://neo4j.com/ , https://cassandra.apache.org/ , https://clickhouse.com/, https://www.elastic.co/ - are all databases I have experience with. Neo4j and Cassandra only as a hobby, but Clickhouse I have used in production, and Elasticsearch I have used for some 7 years now.

Buy an enterprise-class, wired router like the Negate 2100 ($349 USD), which runs pfSense, and configure the Deco AXE5400 device(s) to operate in Access Point Mode. Then install the Softflowd package through the pfSense web UI. Softflowd will collect and export NetFlow data to a NefFlow collector, which is the separate computer/VM/container referred to above, running software like Security Onion, ElastiFlow, or Elasticsearch/Logstash/Kibana (ELK).

If you’re unaware, elastic search is some like enterprise level search shit. They just put it in a theme. https://www.elastic.co

systemctl status kibana ● kibana.service - Kibana Loaded: loaded (/etc/systemd/system/kibana.service; enabled; vendor preset: enabled) Active: active (running) since Tue 2023-03-28 09:40:05 UTC; 33min ago Docs: https://www.elastic.co Main PID: 3168 (node) Tasks: 11 (limit: 9432) Memory: 303.3M CPU: 35.190s CGroup: /system.slice/kibana.service └─3168 /usr/share/kibana/bin/../node/bin/node /usr/share/kibana/bin/../src/cli/dist --logging.dest=/var/log/kibana/kibana.log --pid.file=/run/kibana/kibana.pid "--deprecation.skip_deprecated_settings[0]=logging.dest" Mar 28 09:40:05 wazuh systemd[1]: Started Kibana.