Native Cloud Application
Building Software the Cloud-Native Way As organizations embrace cloud-first strategies, developing applications native to public clouds delivers clear advantages over merely migrating existing software. Cloud-native apps are purpose-built for modern infrastructure like compute services, storage and databases. They leverage elasticity, high availability zones, auto-scaling and other cloud services by design.
01
Microservices Architecture
Decompose applications into loosely coupled services that are independently deployable, scalable, updated. Services communicate through well-defined interfaces like APIs allowing teams to work in parallel.
02
Serverless Computing
Build stateless functions that are event-driven and automatically manage computing resources. Only pay for actual execution time rather than reserved capacity, optimizing flexibility and cost-efficiency.
03
Containers
Package code and dependencies into portable units to ensure consistency across environments and enable optimal resource utilization. Containers isolate services and simplify deployment automation.
04
Cloud Data Services
Integrate scalable database services, data lakes, data warehouses, and stream processing to power AI/ML capabilities through petabyte-scale analytics on structured and unstructured data.

Application Migration

Embracing Cloud-Native Development and Operations As application portfolios grow in size and complexity, maintaining costly on-premises infrastructure can strain IT budgets and slow innovation. Meanwhile, public cloud platforms now deliver virtually unlimited scalability and high availability at lower costs. Migration provides a path for organizations to streamline operations and empower developments.

Cloud Architecture

Designing Scalable and Robust Cloud Solutions As more workloads transition to the cloud, a well-architected infrastructure becomes essential to fully unlocking the benefits of elasticity, availability and agility. Cloud architecture refers to frameworks and best practices for deploying distributed systems across on-premises datacenters and public clouds in a standardized, scalable and secure manner.

DevOps

Breaking Down Silos for Faster Delivery Traditional development and operations teams tended to work sequentially, with long handoffs between code completion and deployment. This resulted in slow, error-prone releases. DevOps aims to align development processes end-to-end from code to monitoring. It unites previously siloed teams through automation and shared tooling.

Recommender System

Our recommender solutions apply machine learning to analyze user behavior and item attributes, delivering individualized suggestions that drive engagement and satisfaction.

Cost Monitoring & amp; Optimization

Managing Spending in Cloud Environments Public cloud models bill customers for actual resource usage rather than fixed capacity reservations. While this usage-based pricing model provides flexibility, it can be difficult for organizations to track spending across different accounts and services. Left unchecked, cloud costs may spiral out of control.

USE CASES 1

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