



We develop strong APIs using Node.js, Python, and PHP utilizing REST and GraphQL architectures for easy data exchange. Our backend development services include designing, authenticating, documenting, limiting, and implementing the security of APIs.
Many companies need dependable APIs to link their front-end apps to databases and services. We know how to create scalable APIs that can handle significant numbers of users and complicated performance needs. When we design APIs, we think about how to manage problems, treat different versions of the API separately if required, and have sufficient caching and testing methods in place to ensure connectivity.
MySQL, PostgreSQL, MongoDB, and Redis are the databases we design, implement and manage with optimum schema design and performance queries. Our database services consist of architecture planning, indexing strategies, backup solutions, and performance tuning.
Users need a database that can manage an ever-increasing amount of data at all times. We create scalable database systems with the correct normalization and optimization. Our database architecture requires knowledge of replication configuration, sharding strategies, migration services, and monitoring systems for consistent data management.
We create server applications using Node.js and other languages such as Python, Ruby, and Laravel that contain business logic and data processing. In addition to these, we also provide client side development services, such as creating authentication systems, processing payments, handling files and performing background jobs.
Our server systems for complex application development provide a robust infrastructure for data and transactions. To provide the most efficient infrastructure, best practices in security, architecture, scalability, error tracking, and logging systems are included in the development process.
Cloud infrastructure deployment and automation using AWS, Google Cloud, and Azure by means of CI/CD. DevOps Services offered, such as containerization, orchestration, monitoring, autoscaling, and DRP, are also included.
Businesses require a scalable infrastructure that automatically recovers from any failure. We provide cloud computing solutions that use both serverless functions and microservices. We implement various solutions such as Docker containerization, Kubernetes orchestration, CI/CD pipelines, and infrastructure-as-code to support new modern deployment workflows.
Our modernization Services upgrade legacy back-end systems to a modern framework and cloud platforms, which improve their performance and security. We perform many types of modernizations, including code refactoring, migrating to another framework, transitioning from a monolith to microservices, and upgrading databases.
Businesses carry legacy code, which is inefficient and problematic to scale. We will convert the back end of your legacy systems into current technology with our proven method of dependency analysis, incremental migration, parallel runs, and rollback options, enabling your services to remain available during transition.
For over a decade, Vasundhara has partnered with growing businesses to deliver reliable, scalable software and AI solutions. Our approach is grounded in technical excellence, transparent collaboration, and long-term value creation.
At Vasundhara Infotech, we specialize in back end development that delivers performance, security, and scalability. Our back end web developers bring deep expertise in Node.js, Python, PHP, and cloud technologies to build server solutions handling millions of requests. As an experienced back end web development company, we've helped startups build scalable infrastructures and enterprises modernize their server architectures with reliable, high-performance systems.
We take a security-first approach to every back end project. From architecture design to deployment, our team ensures reliability.

On average, Vasundhara Infotech clients see dramatically improved performance and reduced infrastructure costs with our back end solutions


Use ML to add intelligent processing, AI enables near real time predicting, classifying and automating decisions (example).
Apply NLP functions to back end services for text analysis and language, our products will allow people to do features like sentiment analysis, entity extraction, back-end for chatbots.
Provide back-end systems for pipelines that utilize AI to automate processing and recognizing patterns; our back end systems enable analysis of large data sets through the use of machine learning.
Build back end systems that include predictive analytics to forecast and analyze trends; through AI integration our products give customers helpful insights through intelligent processing and intelligent modeling.



