Scalability

 Scalability

When number of requests increases ,it determines strength of system is up or down, response time should decrease or it should be maintained.



Vertical Scalability

1 machine having 1 server with high configuration , RAM we can increase , DB Hard Disk we can increase.

PROS                                                                 

Easy Implementation                                                                                                                                   Less Power                                                                                                                                      Management is easy          

CONS

Single Point of Failure : 1 lakh people, RAM Increment, SSD increment .If machine has fault it is down & everything get down.

Limit: There is a  Limit of Hard Disk Increment upto 1TB ,100TB 

Price: Resources added on 1 Machine should be good


Horizontal Scalability

Distributed System 

PROS

No SPOF(Single Point of Failure) : We have copy & replicas of 1 machine get down, we get new.

Cheap Resources can be brought: since not added on only 1 machine , overall price can be less.

CONS

Security tough
Use of high power
Management is difficult.



                                

Comments

Post a Comment

Popular posts from this blog

Asynchronous Communication

Image
  Asynchronous Communication (Non Blocking Call) 1. Time Delay 2. Work from home 3. Youtube video's comment section 4.When computation takes long time; Flipkart page open but processing takes time 5. Scalability of application ; It doesn't wait for notification from another user placing order 6. Avoid Cascading failure ; At times if with response server becomes overload ,it is made asynchronous inorder to let server work on it. 
Read more

Types of NoSQL Database

Image
  NoSQL Database: It stands for "non-SQL" database / non-relational database. NoSQL is the umbrella term comprising of four different types of DB. Key Value DB Generally used for caching Example: Redis   Document DB Bring best of RDBMS & NoSQL It comprises of relational concept for RDBMS & dynamic schemas and horizontal scaling from NoSQL databases. Example: MongoDB   Columnar DB Columns are stored together instead of rows. It is used mainly in data analysis. Example: Cassandra   Graph DB It represent & stores entities in form of graph data structure. It is mainly used for social network. Example: neo4j
Read more

Difference between HLD(High Level Design) and LLD(Low Level Design)?

Image
  Difference between HLD(High Level Design) and LLD(Low Level Design)?                                                                                                                                                                                                                     HLD (High Level Design)    LLD (Low Level Design)   a)Describes the  main components that would be developed for the...
Read more