Technology
AWS environments built securely and run efficiently.
We help you plan, migrate and build on AWS, then secure and operate it. Multi-account foundations, guardrails and cost controls come first, so growth stays manageable.
Hinkor helps organizations plan, migrate, modernize, secure and run workloads on Amazon Web Services.
We build multi-account foundations and guardrails first, then migrate and modernize workloads in planned waves. Containers, generative AI on Amazon Bedrock and connected devices with AWS IoT Core are built with security designed in, and our managed services keep environments monitored and cost-efficient.
The result is an AWS environment that is secure, efficient and ready to grow.
Starting points
Common journeys with AWS
Cloud Readiness Assessment
Moving to AWS
Assess your workloads, design a multi-account foundation and plan migration waves that minimize disruption.
Explore this pathAWS Environment Review
Already on AWS
Review security, architecture and cost against AWS best practices, and bring accounts up to a consistent standard.
Explore this pathAI Use Case Feasibility Review
Building generative AI on AWS
Build assistants and agents with Amazon Bedrock, grounded in your data and governed from the start.
Explore this pathCapabilities
What we do across the lifecycle
Set direction, choose the right approach and prepare the ground.
AWS Readiness & Foundation Design
Assess workloads and design a multi-account AWS foundation with identity, networking and guardrails, informed by the AWS Well-Architected Framework.
- Workload discovery
- Multi-account design
- Guardrails and policies
- Migration roadmap
Design, configure and integrate with clear delivery milestones.
Migration to AWS
Migrate servers, databases and applications to AWS in planned waves, with tested cutover and rollback.
- Wave planning
- Server and database migration
- Cutover and rollback
- Hypercare
Modernization & Containers
Modernize applications for containers, managed databases and serverless services on AWS.
- Containerization
- Kubernetes platforms
- Managed database adoption
- Cloud-native redesign
Generative AI with Amazon Bedrock
Build assistants and agents using foundation models on Amazon Bedrock, with evaluation, guardrails and access controls.
- Retrieval-augmented generation
- Agent design
- Evaluation and guardrails
- Application integration
AWS Security
Harden AWS accounts with centralized security monitoring, identity controls, policy as code and secrets management.
- Security posture assessment
- Identity and access
- Policy as code
- Secrets management
IoT on AWS
Connect devices securely with AWS IoT Core, with firmware, edge processing and device management.
- Device connectivity
- Device identity and certificates
- Telemetry ingestion
- Over-the-air updates
Operate reliably, improve continuously and keep the platform healthy.
Managed AWS Operations
Monitor, patch, back up and optimize AWS environments to agreed service levels, with regular cost reviews.
- Monitoring and incident response
- Patching and backup
- Cost reviews and rightsizing
- Service reporting
Products
Products in this ecosystem
AWS
Multi-account foundations, compute, containers, networking and managed databases.
Amazon Bedrock
Generative AI assistants and agents using foundation models.
AWS Security Hub
Centralized security posture checks across AWS accounts.
AWS IoT Core
Secure device connectivity and messaging.
Kubernetes
Container platforms on Amazon EKS.
Terraform
Infrastructure as code for repeatable AWS environments.
Where to start
Pick the path that matches your problem
AWS Environment Review
Review security, architecture and cost across your AWS accounts, with prioritized improvements.
Landing Zone Quick Start
Establish a secure, governed multi-account AWS foundation as code, ready for your first workloads.
Use cases
Typical work
Data center exit to AWS
Servers and databases moved to AWS in planned waves before a hosting contract or hardware refresh.
Containerized application platform
Applications moved to Kubernetes on AWS with automated pipelines and monitoring.
Generative AI assistant on Bedrock
A knowledge assistant grounded in approved content, with evaluation before launch.
Connected device fleet
Devices connected through AWS IoT Core with secure identity and remote updates.
Why Hinkor
How we make this work
Well-architected from the start
Foundations and workloads are designed against AWS best practices for security, reliability and cost.
Infrastructure as code
Accounts, networks and guardrails are delivered as code, so environments are repeatable and auditable.
Device to cloud
Our embedded and cloud teams connect devices, data and AI on AWS end to end.
Build and run together
Environments we build move into our managed services with documentation and knowledge intact.
Why choose AWS?
AWS offers a broad range of services and regions and suits many workloads, from traditional applications to containers, IoT and generative AI. We compare it with Azure and Google Cloud against your workloads, skills and agreements.
How do you structure AWS accounts?
We use a multi-account structure that separates workloads, environments and security functions, with central identity, logging and guardrails. This limits risk and simplifies cost tracking.
Can you manage our AWS environment after migration?
Yes. Our Managed Cloud & Infrastructure service monitors, patches, backs up and optimizes AWS to agreed service levels.
Is our data safe when using Amazon Bedrock?
We design Bedrock solutions to keep your data within agreed boundaries, with access controls and logging. Data handling is reviewed and agreed before any data is used.
Do you work only with AWS?
No. We also work with Microsoft Azure and Google Cloud, and recommend AWS only where it is the right fit for your workloads.
Next step
Planning or improving your AWS environment?
Talk to our AWS team about your workloads and priorities.