5 Steps to Build a Scalable Application on Any Cloud

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5 Steps to Build a Scalable Application on Any Cloud

Regardless of which cloud computing service you use, creating a scaleable architecture for your applications follows the same best practices.

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Whether you are migrating an on-premise application to a cloud or building your first cloud-based application, scaling is a necessary step in today’s digital world. And contrary to what you think, building a scalable application on the cloud is not as difficult a task as it sounds. So today, we bring you 5 steps to build a scalable application on any cloud.

1. Segment and Spread out

Make sure that having clearly defined separations between the components of your app that can be crucial. Remember the fact that several small database servers hosting single schemas each, can be much more effective than the single mammoth size database server that hosts everything. A single 16 CPU, 16GB server gives you less efficient performance than six 2 CPU, 2GB servers. It also gives you more flexibility to scale each instance vertically, add more CPUs, migrate to a higher performance storage or even add additional RAM.

2. Remember That Quality of Service Counts

This happens with every kind of application and can happen to yours as well. A surge of traffic a flood of traffic comes out of nowhere and your system is unable to handle this load. This can make processing speed very slow or perhaps even make a service go down completely. What do you do in such a situation where the system simply cannot handle all the inbound traffic? Do you have to shut down the system company? Well, no. There exists an alternative to the just shutting down the whole system. The solution lies in enforcing a quality of service that enables you to have diminished availability without becoming completely unavailable. This means that you prevent your services from being overwhelmed with and by traffic by defining a time-to-live on your messages. This can be done for example, by simply discarding older messages that may not even be relevant anymore. You can also limit the number of messages that your service interprets at a time by decreasing the concurrent message consumption and limiting certain services to process a small, fixed number of messages at a time.

3. Try Going Stateless

Maintaining state is the biggest challenge of a scalable application. It means persistence and persistence, and it means storing data at a central location which makes it difficult to scale. So instead of having a large number of states and endpoints, try giving your application a RESTful nature.

However, if it is completely impossible for you to avoid state, you can manage it using Enterprise Integration Patterns such as Blitz or JavaSpaces, which allow foreign currency with transaction-oriented systems.

In case you need your application to be engineered for massive volumes, a cloud hosting strategy which lets your software scale as well can also be put into use.

4. Get a Load Balancing Service

Load balancing services make sense because scaling every tier of your application individually can be challenging and downright complex because every application architecture has its limitations. A load balancing service in the cloud world is best suited to handle the dips and peaks in traffic as it can add and remove virtual machines according to the incoming traffic.

A load balancing service also ensures monitoring of servers, easy deployment across multiple clouds and even distribution for service across different servers.

It, thus, helps automate management tasks and increases database performance.

5. Some Things to Remember

The following tips which can come in handy to build your scalable application:

  • Do not store stateful information in the root disk or in the computer logic.

  • Make sure that you keep the database logic and the compute logic separate, thus allowing your application to recover, in the event that the compute logic fails.

  • Do not over provision for on-demand provisioning by keeping too high provisions for extra nodes.

  • Make sure that you use domain names of hostnames and keep away from hardcoding the IP addresses of load balancers or Virtual Machines.

best practices, cloud, cloud architecture, load balancing, scalability, stateless

Published at DZone with permission of Sandy Duglus . See the original article here.

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