Benefits of Using Microservices With Big Data Applications

Posted by Laura Mauersberger on August 1, 2017


The implementation of microservices has been on the rise recently - for good reason. In a previous blog, we've detailed the benefits of building your applications on a microservice architecture. On a microservice architecture, your applications run as many different services on various servers rather than one large code base. How can microservices complement the integration of Big Data applications? 

Microservice architecture allows for more accessible code, easier to edit, control, upgrade and maintain in the long run. Containerization, continuous deployment, DevOps, rapid and automated integration testing and agile development are all beneficial practices that microservices bring to your company. 

For more details about why your company should consider a microservice architecture, read here.

Microservices — What an Enterprise Architect Needs to Know [White Paper]: How  to transform from a monolith to a microservices architecture with enterprise  architecture – including best practices for introducing microservices »

Benefits of using microservices with Big Data systems

Although not directly linked, the benefits of pairing a microservice architecture to big data applications are tremendous.

Application Scalability

Traditional monolithic applications simply do not offer the flexibility that applications built on microservices do. An application running on microservices have each supporting component running on different servers, which can be scaled up or down whenever needed. Big Data systems tend to process a lot of data at a higher speed than applications ran on monolithic frameworks can handle.

Data Consistency & Quality

Big Data increases the velocity and volume of data being processed at one time on a server. It also increases the variety and veracity of uncertain data. As data volume increases, it is important to keep an eye on the data quality. For example, A data error on the Nasdaq exchange caused chaos recently, as the introduction of test data into the live systems vastly impacted the shares prices of a number of tech companies. Two notable examples: Amazon prices crashed by 87%, while Zynga bounced up by an amazing 3,292%. In this case, the error can be linked directly to data quality.

Applications built on microservices are easier to maintain, test, and scale than monolithic applications.

Ease of Code Modification

Microservice frameworks allow for different employees specializing in various coding languages to modify code. This will add direct benefits to your organization, mainly including diversifying and strengthening your talent pool.  

Modernizing IT for a Digital Erain Microservices

Subscribe to the LeanIX Blog and never miss a post again!