Today data scientists use more tools than ever when creating and deploying analytic models. According to Rexer Analytics, the typical data scientist uses an average of 5 tools in their daily job. This variety of tools can provide difficulties for IT later on when trying to deploy the model, especially if the organization uses a monolithic platform that locks the company into a set coding language. Today’s data science tooling was not built for large scale deployment enterprise systems, which is why many organizations are switching to a microservices based architecture.
A microservices based architecture provides companies with greater flexibility and can meet the data scientist’s changing needs. Containerization platforms such as Docker allow companies to create this microservice architecture and choose which applications work best for them. Here at Open Data Group we recognize the value that comes from a microservices based architecture, which is why our product, FastScore, leverages Docker containerization technology to allow our customers to utilize a microservices based architecture. We chose this type of architecture for 4 main reasons.
A microservices based architecture:
- Allows data scientist to enable an assorted toolkit
Data scientists today face many different challenges that they need many different tools to solve for. With a microservices based architecture, data scientists are able to use every tool and coding language they need with ease, and add or take away tools as they need to.
- Limits possible service failures to isolated components
Since data scientists use so many tools, each tool used increases the risk of service failures in the system. A microservices based architecture provides resilience by limiting these failures to individual components rather than to the entire system.
- Leverages cloud applications
Microservices based architecture enables the migration of existing systems to a cloud centric architecture. Utilizing the cloud provides many significant benefits to an organization, such as better security, more available storage space, increased collaboration, and lower costs.
- Can be customized to fit organization’s specific needs
With a monolithic architecture, it’s all or nothing. The tools you need are either all included, or they aren’t. With a microservices based architecture, you can pick and choose which tools you need and which you don’t without worrying about how it affects the overall system.
Although a microservices based architecture is what works for us, every organization has different needs. For more information about microservices and to see if this architecture is right for you, check out these articles:
This article is for you if you are still learning the basics about microservices and what they are.
If you’re wondering if a microservices architecture is the right decision for your organization, this article can walk you through the benefits and drawbacks of implementing this type of system.