At iGreenTree, we excel in crafting sophisticated software products and platforms using the latest technologies, architectures, and methodologies. For instance, utilizing microservices architecture, we develop scalable and independently deployable modules that enhance the agility and resilience of business applications. Our approach incorporates both DevOps and Agile practices, ensuring rapid deployment and continuous improvement throughout the product lifecycle.
We create cloud-native applications that are inherently scalable, such as deploying a serverless architecture with AWS Lambda to handle varying loads without the need for manual scaling, building using containerized microservices architecture with Kubernetes, dynamic environment provisioning utilizing Terraform and AWS and Infrastructure as Code (IaC) approach, and more. Our approach significantly reduces operational costs and improves the reliability of cloud applications.
Our team develops native and cross-platform mobile applications using frameworks like React Native, ensuring a consistent and engaging user experience across both iOS and Android devices.
We specialize in developing connectors and adaptors for seamless integration, such as linking modern Customer Experience (CX) or Workforce Experience (WX) system to other system(s) like SAP-ISU, Oracle CC&B, IBM Maximo, etc. using custom-built APIs that facilitate real-time data synchronization and enhanced workflow automation.
Our data services are centered around designing architectures that promise scalability, reliability, and high performance. We ensure that your data handling capabilities can grow with your business needs without compromising on performance. Focusing on scalable data architectures, we have designed solutions that manage peak loads efficiently, such as implementing a scalable Apache Kafka-based streaming platform that handles millions of real-time events per day.
Designing and building data storage solutions like data lakes and data warehouses is at the core of our data services. We create structured environments that allow for efficient data storage, processing, and retrieval. We have built robust data lakes using Amazon S3 and data warehouses using Redshift, allowing our customers to store petabytes of data while providing fast, comprehensive analytics across their data inventory.
We build powerful solutions for integrating, cleaning, and transforming data. Utilizing tools like Apache Airflow and Spark, we have developed data pipelines to automate data ingestion, cleansing, and transformation, thus enabling our customers to generate insights from disparate data sources quickly and efficiently.
Our data science and AI services focus on developing and deploying machine learning models that enhance decision-making processes. We transform raw data into actionable insights, driving innovation and efficiency across your operations by leveraging advanced AI techniques.