Let's build something extraordinary.

Our deep backend development expertise helps leading SaaS companies create and maintain server-side software to power their usage. From designing architecture, creating APIs to boosting overall performance, we partner and deliver best-in-class solutions.

Challenges in Data Engineering

Right Technical Architecture

Getting the technical architecture design right is an iterative process that needs continuous adaptation to changing business needs.

Handling Large Data

Vast amounts of data make ingestion and processing complex. The challenge is to create reliable solutions that maintain data accuracy.

Data Structures & Formats

Building data pipelines involves handling diverse data sources with different structures and formats, managing high volumes of data, ensuring scalability, and maintaining data quality and integrity throughout the pipeline.

Scaling Backend Infrastructure

As Saas companies grow in user traffic, scaling backend infrastructure becomes difficult and expensive. They must reduce server maintenance and data storage expenses without sacrificing performance.

Build a Software that is

Modular & Extensible

It promotes maintainability & flexibility, allowing easy integration of new data sources. It enables code reusability and adding new functionalities without disrupting the original structure.

Scalable

Handles increasing data and user traffic without compromising performance and functionality by accommodating future growth without significant modifications.

Efficient

Ensures optimal utilization of resources, minimizing server maintenance and backend operational costs and maximizing productivity.

Our Practices and Approach

Design a scalable architecture

Evaluate the product needs, do thorough tech stack research, and engage in design discussions and technical workshops. Create detailed design documentation for developers to analyze the business requirements.

Write high-quality code

Write clean, modular, and optimized code, not once but every time. Follow patterns, refer to playbooks in case of dependencies, and get every line of code peer-reviewed. Perform user acceptance testing before moving to production.

 

Plan well & in advance

Break requirements into smaller pieces, write thorough user stories, and clearly define what’s done. Take ownership of tasks, and discover risks and dependencies. Failing fast helps us to inform stakeholders and re-prioritize requirements.

Get In Touch

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