Wazuh
Zabbix
Fortinet FortiAnalyzer
Beats
Fluentd
rsyslog
Sematext Logagent
Riemann
Apache Flink
Apache Spark
Amazon Kinesis
Spring Framework
Spark Mail
Apache Airflow
Confluent
Grails
Apache FlinkBased on our record, Wazuh should be more popular than Apache Flink. It has been mentiond 49 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.
I use Wazuh instead. Greenbone CE is severely limited and requires payment for anything beyond the very basic. Super simple installation more features. Source: 6 months ago
Monitoring & Active Measures - Exporting firewall events to an external time-series database like I describe above is good to see who is touching your firewall or accessing your web site. Using an Intrusion Detection System / Intrusion Prevention System (IDS/IPS) such as open-source Suricata, which is a free package on pfSense, and deploying file system integrity monitoring, such as the open-source Wazuh on the... Source: 7 months ago
Wazuh: An open source security monitoring platform that integrates with popular tools like Elasticsearch and Kibana to provide comprehensive security event analysis and response capabilities. - Source: dev.to / about 1 year ago
On another note, as mentioned in my response to the question of this post, we are working on a complete rework of the Vulnerability Detection engine. This rework will provide a sanitized CVEs feed from wazuh.com and a completely new scanner engine. It will also include a new UI for global queries. Source: about 1 year ago
Nessus essentials (https://www.tenable.com/products/nessus/nessus-essentials) might do the trick. It can help to check what kind of services you are running are vulnerable to exploits. Also, the general recommendation here would be not to use default ports for all the services you are exposing. Also, you can check something like Wazuh - https://wazuh.com/. Source: about 1 year ago
Restate is built as a sharded replicated state machine similar to how TiKV (https://tikv.org/), Kudu (https://kudu.apache.org/kudu.pdf) or CockroachDB (https://github.com/cockroachdb/cockroach) since it makes it possible to tune the system more easily for different deployment scenarios (on-prem, cloud, cost-effective blob storage). Moreover, it allows for some other cool things like seamlessly moving from one log... - Source: Hacker News / 1 day ago
I’ve recently started my journey with Apache Flink. As I learn certain concepts, I’d like to share them. One such "learning" is the expansion of array type columns in Flink SQL. Having used ksqlDB in a previous life, I was looking for functionality similar to the EXPLODE function to "flatten" a collection type column into a row per element of the collection. Because Flink SQL is ANSI compliant, it’s no surprise... - Source: dev.to / 21 days ago
You should let the Apache Flink team know, they mention exactly-once processing on their home page (under "correctness guarantees") and in their list of features. [0] https://flink.apache.org/ [1] https://flink.apache.org/what-is-flink/flink-applications/#building-blocks-for-streaming-applications. - Source: Hacker News / about 1 month ago
Data scientists often prefer Python for its simplicity and powerful libraries like Pandas or SciPy. However, many real-time data processing tools are Java-based. Take the example of Kafka, Flink, or Spark streaming. While these tools have their Python API/wrapper libraries, they introduce increased latency, and data scientists need to manage dependencies for both Python and JVM environments. For example,... - Source: dev.to / 2 months ago
Other stream processing engines (such as Flink and Spark Streaming) provide SQL interfaces too, but the key difference is a streaming database has its storage. Stream processing engines require a dedicated database to store input and output data. On the other hand, streaming databases utilize cloud-native storage to maintain materialized views and states, allowing data replication and independent storage scaling. - Source: dev.to / 4 months ago
Zabbix - Track, record, alert and visualize performance and availability of IT resources
Apache Spark - Apache Spark is an engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing.
Fortinet FortiAnalyzer - Fortinet FortiAnalyzer is a powerful product for Security Fabric Analytics and Automation.
Amazon Kinesis - Amazon Kinesis services make it easy to work with real-time streaming data in the AWS cloud.
Beats - Beats is the platform for single-purpose data shippers that is installed as lightweight agents and send data to machines to Logstash or Elasticsearch.
Spring Framework - The Spring Framework provides a comprehensive programming and configuration model for modern Java-based enterprise applications - on any kind of deployment platform.