Amazon Web Services at Shivacha
The broadest cloud platform — our most frequent target for production workloads.
Overview
AWS offers the widest range of managed services across compute, data, AI and security. We design multi-account landing zones, build container and serverless workloads, and operate them with infrastructure as code, observability and cost governance.
Why we use it
- Broadest service catalogue
- Global regions
- Mature security services
- Large ecosystem
How we use it
Amazon Web Services in our engineering work
Landing zones
Multi-account foundations.
Serverless and containers
Lambda, ECS and EKS workloads.
Data platforms
Managed databases and analytics.
Services
Services that use Amazon Web Services
AWS Development & Architecture
Build on AWS — architecture, serverless and container workloads, data services, security and cost optimisation.
Learn moreCloud Migration
Migrate applications and data to the cloud safely — assessment, landing zones, migration waves, cut-over and optimisation.
Learn moreCloud Security
Cloud security architecture and posture management — IAM, network controls, encryption, logging and threat detection.
Learn moreBlockchain Infrastructure
Production blockchain infrastructure: nodes, RPC, indexers, key management, monitoring and high availability.
Learn moreNetwork Security
Network security design — segmentation, firewalls, WAF, DDoS protection, secure connectivity and monitoring.
Learn moreAI Development
End-to-end AI development: from use-case selection and data preparation to models, applications and production operations.
Learn moreProducts
Products built with Amazon Web Services
Pairs well with
What we combine with Amazon Web Services
Cloud platforms, edge and operating systems.
Insights
Related insights
Why most AI pilots never reach production — and the engineering that fixes it
The model is rarely the problem. Retrieval quality, evaluation, integration and governance decide whether an AI pilot becomes a production system.
Learn moreAI development cost: what you pay for when you build an AI product or agent
Model fees are rarely the main cost. Data preparation, evaluation, integrations and guardrails decide both the budget and whether the system works.
Learn moreDisaster recovery you haven't tested is a hope, not a plan
Backups are not recovery. Define objectives, automate restoration and rehearse — including the ransomware scenario.
Learn more
Build with Amazon Web Services.
Tell us about your project, or the engineers you need, and we will propose an approach.