Cloud Native to Spark Innovation and Accelerate Go to Market Strategy

Developing a technology product means a lot of attention to details and a good amount of effort in developing the solution. You need to understand market needs, come-up with a good user experience and a well thought architecture. In today’s world there are multiple choices on the technology stack. You decide your backend, front-end, database, other needed services and libraries to fulfil your product needs e.g. email service for email notification, another service/library for managing users and authentication etc.. If we go with this traditional route of tech stack, there are variety of skills needed in the team, and on top of this you need to brainstorm important decisions like scaling, caching, security etc. Is it too much of a complexity? Did you evaluate a Cloud Native approach?

AWS Native Services

Cloud providers like AWS give many of these services out of the box. Consider Amazon API Gate way, it provides capabilities such as caching, logging, throttling, etc. You can club API Gateway with Lambda functions eliminating a need of managing server infrastructure. AWS Cognito lets you add sign-up and sign-in to your web / mobile apps and scales to millions of users. Amazon Simple Storage Service (S3) is a storage for internet. It not only helps you hosting your static website and provide file storage. You might leverage S3 in other areas as well. For example, use S3 buckets to allow uploading the CSV files and invoke lambda functions to transfer the data to the database. We perhaps do not need data entry screens! Let’s talk about cloud native database strategy. Instead of going with on premises RDBMS, you can go with Amazon Aurora a good option for modern application development. DynamoDB is a great option for NoSQL. AWS provides a beautiful feature of invoking Lambda functions on table updates just like triggers. AWS gives a good infrastructure to test debug your product. For example, CloudWatch logs can give line by line insight of each Lambda functions calls.

In today’s world everything costs money. There is a cost attach to which ever approach you choose — cloud native or non-native. In case of cloud native, there are many ways to save your cost. A simple example, making a call from your Lambda function (Python code) to DynamoDB to extract a row can be made less expensive by using query operation instead of scans. Scan goes through the whole table and filters records later. You can also scale and schedule your services based on your expected utilization pattern and needs. You can raise awareness of your cloud spend with the detailed cost data. Similarly, you can have consolidated view of billing information across the organization.

In nutshell, cloud native approach can simplify lot of technical complexities including having all different technical skills in your team, integrating various components / services into a single product, testing and making sure your product is scalable. With cloud native approach like AWS, all you need is a good AWS architecture and developments skills. AWS will do the rest for you. The approach can help increasing your development velocity and significantly accelerate your overall Go to Market strategy. It sparks innovation, it gives team to focus on important factors like brainstorm right product features, use cases, user experience and develop a cost sensitive product.