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I know a dozen startups that failed from their own success. These problems are only going to be bigger. The graph below well illustrates importance of scalability from an ROI perspective. For most startups, the actual path looks something like shown in the graph below: Server queue is basically a model of how your app will handle and process requests.
Now, you can sit down with your product and development team to identify: What model can handle the least requirements? What are the risks involved? And most importantly, How can you move to a different arrangement if required?
In next section, will help you optimize your dating app for a much better performance when it comes to node. API Caching to make node. A caching method would bring huge performance boost to node.
Any request with caching appears to have been processed instantaneously to a user. For the sake of simplicity, think about Caching as something that stores information temporarily so that it is easily retrievable when a user requests it again.
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Take the image below as a reference, without Caching in this case Nginxyour app would keep more than required socket connections opened up for no reasons. The blue lines indicate HTTP requests, the red lines indicates socket connections. Caching drastically reduces the number of calls that your app needs to make to your primary database.
With their own ups and downs, there are three ways to implement caching in your app: Direct connect cache An API caching layer Local cache Or, you can have all of them serving different purposes within your app. Making a safe dating application Dating apps are often vulnerable.
While building a MVP, the inability of a startup to spend hundreds of thousands of dollars is understandable. That being said, you should take care of the common easy to fix exploits. A common well know exploit is Trilalteration. In order to get an accurate location of a user, all you need here is to just create three different profiles, with 3 arbitrary locations in these accounts.
Anyone can then proceed with Trilateration to get a good approximate location of the target user. But, we see many apps are still doing that, compromising user security.
Grindr, a gay dating app also shared information the same way as Tinder.
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Egyptian authorities exploited this information to get exact location of gay people and executed them. Once your code has been decompiled, attackers can: See debug messages if they are not turned off by the app developers. This allows attackers to access potential stream of sensitive information. Obfuscate the source code.
Make sure no login credentials are not hard key coded within the source code. Encryption and cryptographic hashes Each communication your app makes with the server should be encrypted.
A PGP based cryptographic encryption will suffice here. The security measures listed here are extremely easy and cost effective to implement, making the best security tech for a dating app MVP.
The former requires users to refresh the app to get new messages, while in the later, the chat gets updates automatically. A simple HTTP based chat app would: How to implement real time chat in your dating application?
How to build a dating application?
Well, you can do that by: It just takes too much time and effort to build it. A better way is to either go with Firebase or OpenFire. They both provide XMPP protocols for chat functionality. Both are good options and often deliver equal results. However, there are a few differences: Firebase is paid; and will take care of high speed and scalability Openfire on the other hand is free, but you will be responsible for speed and scalability If there are no budget constraints, you should go for Firebase, otherwise you can stick with Openfire.
Many claim that the maximum number of simultaneous users Openfire can handle is 4, Actually… Unix like systems limits the number open requests Openfire can have. It usually is set as a default to 4, You can customize and increase it easily. This setup can easily handle up to 50, users active at the same time. Com, bi and meet each other local area on yp.
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