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I had the same error message when opening "http://localhost:5601/" while testing opensearch and opensearch dasboard locally using Docker in Windows 10:

• OpenSearch Dashboards server is not ready yet
• opensearch-dashboards | {"type":"log","@timestamp":"2022-02-10T12:29:35Z","tags":["error","opensearch","data"],"pid":1,"message":"[ConnectionError]: getaddrinfo EAI_AGAIN opensearch-node1 opensearch-node1:9200"}

But when looking into the log I also found this other error:

• opensearch-node1 | [1]: max virtual memory areas vm.max_map_count [65530] is too low, increase to at least [262144]

The 3 part solution working for me was:

Part 1

On each opensearch nodes update the file:

One solution would be to use reverse proxy services like https://pagekite.net/

There is a chunk method in laravel for queuing large data. You can chunk the data and try importing datas Here is the link for reference: here

I hope this link will help you. Here is what documentation says about it.

If you need to work with thousands of database records, consider using the chunk method provided by the DB facade. This method retrieves a small chunk of results at a time and feeds each chunk into a closure for processing. For example, let's retrieve the entire users table in chunks of 100 records at a time:

This is more of a networking question than a node question. You'll have to be able to configure your gateway router / firewall to make it work. In addition, your ISP must permit inbound connections on the ports your listening to. Fortunately, this likely isn't going to be an issue, but just something to be aware of.

First, you'll need to configure your router to do port forwarding. Port forwarding will translate connections to a specific port on your router and then forward that request to the same port on a specific internal IP address on your local network. If your router has a firewall, you may also have to create a rule to let traffic on that port through. Most home routers won't need to do this.

Once your gateway router is set up, you'll need to find out the external IP address of your router. To find the external IP address you can go to a website such as https://whatismyipaddress.com/. Give this IP address along with the port to whoever you want to connect to your server.

Most ISPs assign IP addresses dynamically, so you'll have to check to see if your IP address has changed from time to time.

Once this is all set up and ports are forwarded to your local dev machine, you can launch your Node server and start seeing requests.

Be aware there are some risks with exposing your machine to the internet. Just be sure that you don't trust input to your server and maybe turn off port forwarding when you don't need it.

If you're not able to do any router configuration, look into ngrok. This will get though almost any NAT router or firewall. Be aware that the free version is limited to 40 connections per minute.

That should be alias /var/www/fileUpload/html; otherwise Nginx is looking for the file in /var/www/fileUpload/html/upload/index.html. See this document for details.

For example:

As Nick stated: the problem was that instead of .formData, I needed to use .urlEncodedForm.

Lots of options.

• Celery. A library for organizing a task queue. Production-ready, widely supported, has a great community.
• Dramatiq possibly with periodic. Dramatiq is also a library for organizing a task queue, periodic is a task scheduler. Less popular, more lightweight, and quite stable. Entry threshold is lesser than celery, as for me.
• Supervisor. Supervisor is a client/server system that allows its users to monitor and control a number of processes on UNIX-like operating systems. One command to install, very easy to configure, quite suitable for small projects (it's harder to use it when the amount of background routines becomes 10+).
• Tmux. It is a terminal multiplexer with the possibility to remain a process running after disconnection of it. Could be useful when you're running something one time or for tests.
• Django Background Task. It is a databased-backed work queue for Django, loosely based around Ruby’s DelayedJob library. Unmaintained and incompatible with Django versions newer than 2.2.

The problem with websocket is it doesn't support broadcasting. You can store somewhere list of connected clients and iterate over them to send a message