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.
01
Continuous Integration
Automated testing pipelines that build, test and analyze code changes automatically after each commit. Runs multiple test types in parallel to catch errors quickly during development before merging to main branches.
02
Infrastructure as Code
Model infrastructure using configuration files that live alongside code in version control systems. Check configuration changes through the same branches and pull requests as code for consistent deployments.
03
Deployment Automation
Standarized workflows and pipelines promote environment consistency and predictable rollouts. Automated deployments run tests, deploy artifacts, and validate deployments happened successfully for any environment from dev to production.
04
Monitoring & Logging
Gain end-to-end visibility through centralized log collection, metrics, and alerts defined in code. Correlate app performance with logs for faster MTTR. Common dashboards provide shared situational awareness.

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.

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.

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.

Recommender System

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

USE CASES 1

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