New generation applications are architectured not only with the goal of desiging the application functionally and performing stable but also focuses on different aspects that are becoming critical
Scalability – Elastic scalability for all the layers of the application including data tier
Fault Tolerance - Ability to handle failure smartly and avoid cascading failures from and to dependent systems
High Availability – Ability to have application highly available on all layers including database even on data center failures
Efficient utilization of Infrastructure - Ability to scale up and down on demand
Faster access to underlying data on high load and data volumes
Ability to handle different data formats efficiently
Few reasons that are tied to this evolution are the need and benefits towards cloud adoption ( could be either private or public cloud ) and the need to handle huge data volume with faster response on the data tiers
Benefits | Solutions | |
---|---|---|
Physical -> IaaS -> PaaS | Elastic Scalability High Availability Efficient Infrastructure utilization Zero downtime deployment |
VMWare , Open Stack – Private Cloud IaaS AWS, Azure – Public Cloud IaaS , PaaS Cloud Foundry – PaaS on private and public cloud |
Circuit Breaker | Fault Tolerance Better failure handling Avoid avalanche failures |
|
Service Registry | Registry for dynamic instance scaling |
|
Intelligent Load balancing | Intelligent Load Balancing utilizing the elastic scaling and self-discovery |
|
Search | Quick search needs from huge data sets, full text search, pattern matching |
|
Data Grid | Faster read write data, Reduce read / write overhead to database, high availability to data |
|
Queue | Reliable data transfer across different data layers |
|
NoSQL |
Big data – database needs Heavy Read / Write on high data volumes Faster response needs on the data High Availability on data Fault Tolerance on data Distributed database Scalable database |
|
Hadoop |
Distributed file processing and storage ecosystem High speed batch (MapReduce) / real time ( Storm, Spark ) processing |
Different Hadoop distributions like Hortonworks, CloudEra,MapR |
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