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📚 Micro services Architecture and Design patterns.
📚 Data Structures and Algorithm
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Introduction and Characteristics of Algorithms is explained in detail below
The programmatic way of storing data, so that it can be used efficiently. Almost every enterprise application uses various types of data structures in one or the other way.
Introduction and Characteristics of Algorithms, Algorithm is a step-by-step programmatic way of storing data, so that it can be used efficiently. Almost every enterprise application uses various types of data structures in one or the other way.
As we saw in this article about Algorithm, Let us see in details here.
Algorithm is step-by-step procedure for solving a problem in finite number of steps. In other words it is finite set of well-defined instructions written in human readable language for solving a given problem. An algorithm is division of a problem into small steps which are in sequence. Algorithm is very important way for computers to understand the problem and process the information accordingly.
Problem can always be solved in multiple ways or can have multiple solutions to solve. Similarly Algorithms also can be written any number ways to solve the problem. Let us see the characteristic of an Algorithm.
Writing an Algorithm must possess the following characteristics.
In the next article in details about the Big O Notations in data structures with example.
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Today we will see what is the CQRS – Command query responsibility segregator Design Pattern is.
Previously we saw about What is Microservice? and the principles followed while developing MSA and the available design patterns.
CQRS stands for Command Query responsibility segregator, a design pattern that separates the read and update operations for data.
In traditional architecture, the same data mode is used to query and update the data in a database, This is how the CRUD operations work. With CQRS the read and update operations are separated into two parts, Command and Query.
The command part will handle all the CREATE, UPDATE, DELETE requests, while the Query part will handle all the READ (Materialize view) requests.
Example:
Consider we have Video Services, One for Uploading (Write Operation) and another for viewing (Read Operation).
Where Uploading will perform Create, Update, Delete operations. And the other service on viewing will perform a Select operation to read the videos and their metadata.
November 28, 2021
Senior Developer | Java & C#.NET | 10++ years of IT experience.
Planning to learn ReactJS or Angular or Flutter.!
Today we will see what is an What is Branch or Branching Design Pattern is.
Previously we saw about What is Microservice? and the principles followed while developing MSA and the available design patterns. also, we saw the Shared database design pattern.
Branch Design pattern extends the Aggregator design pattern and allows us to perform simultaneous response to be processed from two likely mutual exclusive chained services .
This pattern also be called as different chain or Single chain based on the business needs. This design pattern is also known as Branching design pattern.
Example:
Consider the client is booking the Cab. The Trip Service makes call to the Dispatcher service.
Dispatcher service then makes two calls to Passenger & Driver Service, Then these two service calls Notification service.
Business Flow starts like the Client books a Trip, Trip dispatches the request to driver and passenger, then Both Passenger and Driver are notified using the Notification service.
November 23, 2021
Senior Developer | Java & C#.NET | 10++ years of IT experience.
Planning to learn ReactJS or Angular or Flutter.!
Today we will see what is an Event sourcing Design Pattern is.
Previously we saw about What is Microservice? and the principles followed while developing MSA and the available design patterns. also, we saw the Shared database design pattern.
Before understanding what is Event sourcing design pattern is, let us see why & when do we use the Event sourcing design pattern.
All application uses data to maintain the current state of the data by updating it, In the traditional Create, Read, Update & Delete (CRUD) model a data is read, then make some modification to It, and update the current state of the data with the new values – often by using transactions to lock the data.
Now, this is why & when we need to use an Event sourcing design pattern.
Event Sourcing gives us a new way of persisting application state as an ordered sequence of events. We can selectively query these events and reconstruct the state of the application at any point in time. Of course, to make this work, we need to reimage every change to the state of the application as events:
Event sourcing design pattern
Example:
Consider we have Order and Cart services, When the Client adds the item to the cart or remove the items from the cart, these are called events, These events must be stored in order to maintain the changes made to the cart.
The events are persisted and published into the Event queue. Where the other services will subscribe to those events to get the updated state of the cart.
Consider you add the item to cart from Mobile App, then you login to website via PC and make some changes to the cart, these are captured as events and maintaining the seamless experience when accessing the cart in different platform.
November 18, 2021
Senior Developer | Java & C#.NET | 10++ years of IT experience.
Planning to learn ReactJS or Angular or Flutter.!