Big Data & Stream Computing
Big Data & Stream Computing
Our technology framework consists of platforms and practices which are designed to scale and perform. Our reference architecture and boilerplates enable you to quickly take off the ground.
1. DATA PIPELINES & WAREHOUSING
Become data-centric to be user-centric
Cloud-native refers to a set of tools and practices which enable quick scale, reduction of dependencies, and ability to rapidly deploy new versions of the software. If you want to build a scalable product, then cloud-native technologies are the way to go.
Cloud-native technologies such as Docker, Kubernetes, and the overall micro-services architecture with components such as message queues are usually considered to be complicated. By developing these toolchains for several customers, our teams have mastered cloud-native technologies.
2. STREAM COMPUTING
Respond to user needs in Realtime
Code quality is a big factor in a project’s success, time-to-market, and product longevity. Poor code may help you achieve some short-term goals, but it cannot help you scale. Code which is not standardized is hard to maintain, results in more bugs and increases the compute spend. Good code can make or break your product.
Each of our engineering competency areas has well-defined conventions and standards when it comes to writing code. We employ an effective definition of done during our delivery process which includes several checks to ensure solid deliveries.
3. BIG DATA ANALYTICS
Enable Insights & Visibility
Your product is as good as the people who work on it and the processes they adopt. Modern platforms require swift changes and a continuous flow of updates without breaking things. DevOps refers to a set of practices for continuous integration and testing of new code.
All our projects make extensive use of Git for source control, and continuous integration servers for running various tests on the code. Every new change is staged in a preview environment before it makes its way to the more critical environments. Our environments are managed with infrastructure-as-code tools and monitoring and alerting are configured as a standard.
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