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many Thanks for the script! Under Win Vista I can't execute, but under Win XP: no Problems.

As I see, KeePass is not able to import the Tree Group from csv, even if it was exported, so the idea to store it into the note is good.

I did some small modifications, because there was a missing char on the end of the set and the category is allways for the following entries.

Since async calls open a thread for every socket operation, it is a great solution for client programs. It will manage the communication without halting other procedures, it is tested, and it is absolutely not suitable for servers. Why? The server using async calls will open a thread for every socket method, which will mean our server is going to end up having way too many threads than needed, and further, adding more threads at some point will make the entire list of other threads to run slower and slower until the hardware will require an upgrade. Now, that will happen no matter what logic we will implement; but, the question is when is it going to happen? The more threads we open, the sooner we need a hardware upgrade, so for now, we can determine that using async calls is out of the question if we want a low resource waste with maximal optimization in our server.

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So, our goal is to use the smallest number of threads as long as our Latency definition (a.k.a. Lag) is meeting our design requirements. Yes, I know some of you would say something like: "what are you talking about, most servers work with async communication!". They are correct - so if things are as I explained in the previous paragraph, why do so many servers use the async architecture? The answer is in an assumption that will not hold water, and in a non-elegant workaround that brutally forces things to work, as I will explain. Behind this architecture lays an assumption that clients keep communicating to the server, making the threads behind close and open all the time since an operation like receiving data or sending data is a short operation, and since it's short, it takes resources only for few nano-secs and then they are released, and so many threads can open and close without actually wasting resources in a constant way, which is actually very true (so far).

However, if for example I connect to such a server from my client and I decide not to send data to that server, it would mean that that server has opened a BeginRecieve method that is waiting for my client to send something, and as long as I don't send anything, the thread that waits for data remains open, and does not close.. If we have 2000 clients doing that, the server will be in trouble, and the architect who designed it will be either unemployed, or possibly promoted to a division manager - that depends on where you work. To workaround this problem, the architecture requires a non-idle policy, so threads can close and malicious clients can not use that exploit. One of those policies can be a timer that closes idle clients, another can be based on a ping mechanism, and few would go for even smarter solutions that keep track of resources and disconnect idle clients only when resources are getting low. But, all those are workarounds which point out that they deal with the symptoms and not the problem that causes them! For the async server architecture, which as I explained, this is not suitable.

Another approach would be to use sync calls in block mode to our sockets - this means that execution will halt, so to workaround this, we can open a thread per client. But again, we shall have many threads running in our system, and that is something we already killed as a server solution.

The last option remaining is to use the sync calls without block mode. The problem is that 2000 clients connected to our machine will need to be scanned repeatedly, and that would take too long to scan.

So, after building the Foreman, I began writing a simple code to wrap the socket communication options. I opened a project and called it NetworkSocketManager - it will be used in two other projects, a server and a client. The NetworkSocketManager will let us choose between a socketing work methodology and it will wrap all the synchronous and asynchronous communication options (including the block mode).

Since it was necessary to identify each async client, I created another client which contains a NetworkClientBase and adds identity to it. Normally, you will not need such a client unless you want to work with multiple clients without a server or a main node to manage them inside it.

Unison uses a message queue for all asynchronous provisioning operations. The use of a message queue allows Unison to ensure that workflows are completed, even if targets such as directories and databases are down. Unison encrypts all messages sent to the queue for increased security. There are two modes that Unison can use:

@ papi

Thanks for the research.

But you are just you, and therefore limited.

I allways do my own research, been computing since 1980.

So I read a lot of other opinions about the subject.

And it always takes time and patience.

And a strong will to make it work your way.

Events are stored for all webhooks. An event refers to a resource which has been updated, for example a payment which has been collected, or a mandate which has been transferred. Event creation is an asynchronous process, so it can take some time between an action occurring and its corresponding event getting included in API responses. See here for a complete list of event types. be457b7860