Cloud Platforms

Amazon Web Services (AWS)

Overview:
AWS is the world’s most widely adopted cloud platform, offering a broad set of tools for compute, storage, AI, DevOps, and global infrastructure.

How We Use It:
WaterApps leverages AWS to build secure, scalable, and high-performance solutions tailored for businesses across sectors.

Capabilities Delivered:

• Cloud Migration & Architecture Modernization

• Secure Data Storage & Access Control

• Scalable Big Data & Analytics Pipelines

Amazon SageMaker (AI & ML Services)

Overview:
Amazon SageMaker is a fully managed service that enables you to build, train, and deploy machine learning models at scale — without managing the underlying infrastructure.

How We Use It:
WaterApps uses SageMaker to power intelligent applications and AI-driven features for businesses. We streamline the end-to-end ML lifecycle — from data preparation and model training to scalable deployment and monitoring.

Capabilities Delivered:

• End-to-end ML Model Lifecycle Management

• Scalable Model Training & Hosting

• Real-Time Inference & Batch Predictions

• Integration with S3, Lambda, and Event-Driven Workflows

Microsoft Azure

Overview:
Azure is Microsoft’s cloud computing platform, known for enterprise integration, hybrid cloud capabilities, and strong compliance posture.

How We Use It:
We design and deploy applications and services on Azure using native tools like Azure DevOps, Bicep, and Azure Functions.

Capabilities Delivered:

• Application Hosting & Database Management

• Azure DevOps Pipelines & Infrastructure as Code

• AI-Driven Workflows & Predictive Models

Google Cloud Platform (GCP)

Overview:
GCP offers high-performance cloud services with a focus on data, ML, and scalable infrastructure — including market-leading Kubernetes support.

How We Use It:
We build and deploy secure, data-driven architectures using GCP’s analytics and AI capabilities.

Capabilities Delivered:

• Cloud-Based Analytics Pipelines

• Real-Time Data Processing

• ML Model Training & Deployment