End-to-end AWS consulting services for progressive companies to reduce costs, capture new opportunities, foster innovation, and grow faster.
AWS is increasingly becoming a popular choice for moving to the cloud–especially due to its ease of use. It gives you the benefits of working on the cloud sans the hassles of capacity planning, managing operations, and maintaining security.
Even though AWS has a lot to offer, getting to AWS cloud services and executing them right can get overwhelming–that's where we come into the picture. From cloud migration to AWS strategy, we are your consulting partners to help you use AWS the right way!
Building, customizing, or even migrating applications to the AWS cloud, where they can work on serverless backends using a strategic roadmap, and efficient execution. We assist you in developing and migrating web as well as mobile applications on microservices so that they not only auto-scale but also cost you only when they’re running.
Setting up and operating key-value NoSQL databases with Amazon DynamoDB for mobile, web, gaming, ad tech, IoT, and other applications to have low-latency data access at all times. We help you deploy reliable serverless databases which can handle up to 10 trillions requests/day per day while giving you the flexibility to pay for only what you consume.
Deploying solutions that allow to build, release, oversee, and secure APIs at scale to handle the load of countless concurrent API calls in a single go. We help you set up the Amazon API gateway (for Rest APIs) or AppSync (for GraphQL APIs) to create a single entry point for client requests, allowing real-time two-way communication for your serverless applications.
Setting up, and running relational data warehouses on Amazon RDS so that you can give your applications the fast performance, high availability, security, and compatibility they need. We share the expertise to help you build relational databases that can run on database engines including Amazon Aurora, PostgreSQL, MySQL, MariaDB, Oracle Database, and SQL Server.