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Before starting with RAFT let me grab the definition of consensus from Wikipedia. A process of decision-making that seeks widespread agreement among group members. Well, that gives more clarity 😀. In short, if everyone in a group agrees on a single thing then they have a consensus. Consider that i have an application service comprising of a primary node and a few secondary nodes. To serve the purpose of availability if something happens to the primary node one of the secondary nodes should take the charge....

Node.js has changed the JS world forever, So as a python developer at that time I thought hey why can’t we bring that architecture to python (we already had generators ), even though it was a bit late the asyncio feature was released on the 3.4 version. So what does it do, compare to JS async/await statement Let us see an example of how asyncio works in python 1 2 3 4 5 6 7 8 9 10 11 12 13 import asyncio async def saySomething(): print("Hai") await asyncio....

So what is message queuing? It’s simple if two processes need to speak to each other they should use a shared memory location to exchange data (OS-class 101 Interprocess communication 😄 ). Consider the process as two different services. Service #1 may be a web backend and Service2# may be a system software that does a specific task that it’s meant to do, to synchronize stuff’s between both services they need to access the same memory location, and obviously, the representation in memory will be a queue data structure....