Benefits of Using Microservices With Big Data Applications
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.
Although not directly linked, the benefits of pairing a microservice architecture to big data applications are tremendous.
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.
Challenges of Implementing Microservice Architecture
When you make a choice, you also choose the consequence. The consequences of moving to a microservice framework from a monolithic framework pail in comparison to the benefits, but there are a few notable challenges.
Costly Employee Additions
Microservies allow for diversifying and strengthening your talent pool of developers - at a cost. A good DevOps engineer is worth his weight in gold and is also highly coveted in the agile market. As microservice frameworks are fairly new, there are few DevOps experts to go around.
Increased Project Complexity
Moving from a monolithic to microservice framework requires that your programmers have the skills to develop the full-stack. As different components are made of various types of code and contained separately, there is a strong chance that your current developers will have to learn new code languages before starting the integration project.
Increased IT Costs
Your organization will incur measurable costs implementing the microservices framework. Hiring skilled DevOps experts, training your current staff to learn new coding languages, paying for additional servers and database licenses all come with a hefty price tag. Implementing microservices into a current Big Data project under way could be costly.
This framework should be heavily considered and fully mapped out before adapting your organization to it. To prepare your company for Big Data and IoT, consider the many benefits to implementing microservices.