How to increase number of open connections for mongoDB from clients (C#)

mongoDB v4.0.4 >> replica set of 3 nodes (not sharded)

Previously

su - mongo7937 No directory, logging in with HOME=/ $   ulimit -Hn 1048576 $   ulimit -Sn 1024 $    cat /etc/pam.d/common-session | grep pam_limits.so  cat /etc/sysctl.conf | grep fs.file-max 

changed to

su - mongo7937 No directory, logging in with HOME=/ $   ulimit -Hn 1048576 $   ulimit -Sn 64000 $    cat /etc/pam.d/common-session | grep pam_limits.so session required        pam_limits.so  cat /etc/sysctl.conf | grep fs.file-max fs.file-max = 2097152  sysctl -p 

So earlier my max number of connections were limited to 818 which is 80% of 1024. As per recommendation from mongoDB documentation I’ve increased the limit to 64000 but still when mongo c# client reaches max open connections to 818, my mongoDB abruptly stopping.

Is there working command set for c sharp driver to limit number of connection client end ? because whatever we tried is not working, can someone share if that is working for you.

Else can someone tell me the right steps to limit number of open connections from mongoDB side and at server user level.

How to Know details of the Browser Connections to a Website

I want to know what information is being sent when I click for Submiting data on a webpage in a broswer.. such as:
1) The Port Being Accessed
2) The External Port being Used, it's Number..
3) The IP address that is being accessed and the Ip address that is being told (sent to the source Page)…

like when I click on Sign in the below Image: (just as an example)
the Information that is being sent and received and accessed…..

How to Know details of the Browser Connections to a Website

Is MySQL more scalable than PostgreSQL due to the difference in how they handle connections?

I’m trying to decide if either MySQL or PostgreSQL would be more suitable for an application that will get hit by potentially thousands of simultaneous requests at a time.

During research, one fact that stands out is that PostgreSQL forks a new process for each connection, whereas MySQL creates a new thread to handle each connection.

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  • How much of an impact does this difference have on how well both systems scale? Is it something that I should worry about to begin with?

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I have two tables, Reviews and Critic

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I’m pretty new to RDBMS and I was wondering if the connection between Review.rID and Critic.Review is redundant?

My reasoning is that a single critic can have many reviews but each review is unique so I need a way to enforce the uniqueness of the Reviews. I did this via Review.rID which is unique.

However, I am already connecting the critic to the review by including a criticID within Review, so is it necessary for me to also connect a reviewID to a critic within Critic?

Have I been hacked ( netstat output too many dgrams and stream connections) [closed]

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netstat output

These are the output images of the netstat command I ran it shows that they’re are too many outbound connection and many dgrams and stream . I also tried to capture the output using Wireshark and then reverse checking the IP address to whom does it belongs ( using www.arin.net) it showed up various organisation ( Google, Astricia).

I also tried to turnoff the wifi and then ran netstat but no change in the dgram and stream connections.

Please help , any input will be appreciated.

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We have a web server behind an AWS Load Balancer. We’d like to block any host from accessing our web server if they are connecting from a Consumer VPN style network. We’ll also be doing some geo-location blocking too which we can do with AWS WAF.

For blocking Consumer VPN networks, does anyone know the easiest/fastest way to obtain a listing of CIDR blocks registered to Consumer VPN companies? I have a list of IPs that I can do a WHOIS on and find the registered block, but that wouldn’t give me all of the networks out there. I’d have to do quite a bit of WHOIS searching and guessing to build it manually. If there’s a resource out there that could help me with this endeavor that’d be great.

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