Kafka is an excellent tool that can be used through various
domains and for many different purposes.
Today, we've barely scratched the service in terms of capabilities.
One of its main features is data ingestion and we've seen how Kafka
Connect can be used to ingest data from a file; however,
there are many more data sources and things that
Kafka Connect can integrate with.
And I definitely recommend that you check out the official Kafka documentation.
Kafka Connect can integrate with relational databases such as MySQL,
PostgreSQL, or even no SQL ones like Cassandra,
MongoDB, or even Redis.
Also, it is not limited to data stores,
it can ingest or send data to other messaging systems like RabbitMQ,
ActiveMQ, Google Pub/Sub, or even other streaming platforms like AWS Kinesis.
Another aspect we should take into consideration is real‑time analytics.
As we've seen in the previous demos,
we can analyze events in real time and make
decisions at an outstandingly fast rate.
This capability makes Kafka the perfect candidate for analyzing
traffic and setting up an intrusion detection mechanism.
The last capability Kafka has is related to storage.
Kafka can store events indefinitely as long as you can
provide it with sufficient storage capacity.
This gives us the chance to replay things from the past
and analyze them further if needed.
Think about an improved detection algorithm that before was
not capable of spotting the intruder.
Using this capability,
we can replay the same event logs and test if the
new algorithm works as expected.
For more information,
I would like to refer you to the NIST Cybersecurity Framework.
Pluralsight has multiple courses on this subject that covers all aspects of it.
Regarding Kafka, the best place to start is the Kafka documentation.
There, you will find explanations of all the concepts related to it.
Another great place to learn about Kafka is Pluralsight where you can find
an entire path dedicated to Kafka and technology similar to it called
Handling Streaming Data with Messaging Systems.
I hope you've had as much fun watching this course as I had creating it.
And I wish you the best of luck working with Apache Kafka,
Thank you for spending this time with me,
and I hope I will see you in the next course.