emilio2hd

# Build an image
docker build -t <image_name> <dockerfile_path>

# Run a container
docker run -d -p <host_port>:<container_port> --name <container_name> <image_name>
PS1: In this sample, I'm mapping ports with option '-p'. For more details, see below.
PS2: You can add links among containers using --link <container_name>:<alias> option.

# Start a bash session at a running container
docker exec -it <nome_container> bash

emilio2hd

export class AppComponent implements OnInit {
  messageBuffer$ = new Subject<string>();

  msgCount = 0;
  ngOnInit(): void {
    this.messageBuffer$.pipe(
      bufferTime(5000, null, 5),
      filter(buffer => buffer.length > 0),
    ).subscribe(console.log);
  }

emilio2hd

Configuring Elasticsearch + Logstash + Kibana using Docker

Here, there are some configs to use Elasticsearch as a Docker container and Logstash + Kibana as well.

You will see that Elasticsearch config is separated from Logstash and Kibana because I'm assuming that you want to use the ES container to other things rather than only log analyses.

Docker instalation

Go to https://docs.docker.com/install/ and open the "Docker CE" menu, choose you OS and follow their instructions.

After install, open your terminal and type:

emilio2hd

---
sdkman_script_install_url: http://get.sdkman.io
sdkman_folder: '/home/vagrant/.sdkman'
gradle_version: 2.3