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.
01
Microservices Architecture
Decompose monolithic apps into independently deployable services that scale autonomously. Services communicate via REST/JSON APIs for agility.
02
Serverless Computing
Build stateless compute functions triggered by events without thinking about servers. Automatically scales with usage for optimal performance and cost.
03
Containers
Package code and dependencies into lightweight, isolated units ensuring consistency. Containers enable optimal resource sharing and portability across environments.
04
Data Layering
Implement data schemas optimized for specific workloads using databases, data warehouses and lakes. Integrate services for analytics and machine learning.

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.

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.

Recommender System

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

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.

Cost Monitoring & 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.

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