Notes:
1. If Go and buster is already installed don't sweat installing them again
2. Memory: Increase swapspace:
sudo dphys-swapfile setup (put 1024)
sudo dphys-swapfile swapon
3. Follow the instruction in the link from the "Building" step
4. Note, I tried installing 7.x, 7.8. They didn't work.
Only 6.0 worked as mentioned in the link
Hi how are you?
Difference between LogStash and Beats
Ref:
Ref:
Notes:
Beats (FileBeats) is a log shipper. It is written in Go.
Small memory footprint, and fast. It acts as a lightweight agent
LogStash is heavy on memory, since it uses JVM
One of the facts that make Filebeat so efficient is the way it handles
backpressure—so if Logstash is busy, Filebeat slows down it’s read rate
and picks up the beat once the slowdown is over.
To install "packetbeat" you might encounter "pcap.h" error. Solve by
installing:
> sudo apt-get install libpcap-dev
So…When Do I Use Filebeat and/or Logstash?
The simple answer is — when logging files at least, you will almost
always need to use a combination of Filebeat and Logstash. Why?
Because unless you’re only interested in the timestamp and message
fields, you still need Logstash for the “T” in ETL (Transformation)
and to act as an aggregator for multiple logging pipelines.
Filebeat is one of the best log file shippers out there today — it’s
lightweight, supports SSL and TLS encryption, supports back pressure
with a good built-in recovery mechanism, and is extremely reliable.
It cannot, however, in most cases, turn your logs into easy-to-analyze
structured log messages using filters for log enhancements. That’s
the role played by Logstash.
Logstash acts as an aggregator — pulling data from various sources
before pushing it down the pipeline, usually into Elasticsearch but
also into a buffering component in larger production environments.
It’s worth mentioning that the latest version of Logstash also
includes support for persistent queues when storing message queues on
disk.
Filebeat, and the other members of the Beats family, acts as a
lightweight agent deployed on the edge host, pumping data into
Logstash for aggregation, filtering and enrichment.
The relationship between the two log shippers can be better
understood in the following diagram:
