AWS Case Studies: Building Microservices Speed Time to Market

AWS Automation

While microservices benefit a variety of organizations on multiple fronts, (for a deeper discussion on this, please check out our blog, “Microservices Trend as IT Competes on their Respective Strengths”) today we are examining how one startup used a microservice architecture to give developers greater agility and add automation to gain a competitive advantage in its industry.

The organization in question is a quickly growing data analytics startup. As a data driven organization, this start-up has a massive data pipeline from which it parses and applies intelligence for its customers. With some automation in place, the company’s engineering leadership knew that a greater application of automation framed in DevOps principles would help streamline processes for the firm. As a result, automation that freed up developers to focus on coding, not time-consuming manual processes, was a key goal of the project.

Another key goal of the project, cost-effectively addressing spikes in demand, can be read about in the full case study here.

Flux7’s AWS consulting team recommended an AWS-based microservices architecture steeped in DevOps principles. Using its tool chain for DevOps and AWS automation, Flux7 was able to architect and orchestrate the delivery pipeline, creating an automated workflow for repeatable provisioning, testing, and deployments. Building microservices allowed developers to focus more on creating and delivering code, and less on coordination with other team members as they were assigned to and focused on a discrete service, independent of the work of other teammates. This, combined with a smaller, simpler code base allowed developers to easily identify issues in their code, and quickly update the service -- both of which made product delivery faster and of a higher quality.

One of the biggest benefits of this project was that the Flux7 team broke a cycle of developers spending too much time with manual processes. Setting up automation to replace manual tasks reversed a downward spiral, turning it into a virtuous cycle of more time to spend on coding and experimenting with new approaches. Indeed, developers now have the luxury to fail fast and try again.

Many of today’s startups are using microservices as a way to ‘build right from day one.’ They want to start off with their most agile foot forward and microservices enable them to do that. With small engineering team sizes and the need to respond very quickly to market changes, microservices allow startups to pivot quickly and be the fastest player in the industry. Microservices helped this data analytics organization do just that, growing their ability to compete against enterprises with vastly greater resources, by being able to pivot code quickly to reflect changing market conditions.

The microservices architecture developed by Flux7 gave this quickly growing startup a foundation for future growth and success. With complete knowledge transfer, this company’s Development and Operations teams are ready to manage and extend their new platform dynamically meeting customer needs now and in years to come.

Read more AWS case studies here

For more reading on how Microservices can help your organization, or how the Flux7  Microservices SmartStart architecture offering can help increase your developer efficiency and efficacy, speed time to market, and grow customer satisfaction, please refer to our Microservices solutions page. For additional tips, AWS best practices and commentary delivered regularly to your inbox, click the button below to sign up for our blog.

Sign Me Up!

 

About the Author

Flux7 Labs
Find me on:

Join Us

Join thousands of technology enthusiasts, subscribe and get expert perspective in your inbox.

Connect With Us