Tensech
AWS cloud engineering

AWS cloud consulting for workloads that stay secure, resilient and affordable.

Tensech designs and runs cloud-native applications on AWS, from account structure, networking and security to cost management and multi-region resilience, so your platform scales without surprising bills or outages.

The challenge

AWS makes it easy to start and easy to get wrong.

AWS offers hundreds of services, and most teams adopt them one project at a time. Over the years that produces inconsistent networking, broad permissions, oversized instances and environments nobody dares touch.

The result is rarely a single failure. It is a slow accumulation: a bill that grows faster than traffic, a security review that finds open ports, and an architecture that cannot survive the loss of one availability zone or region.

  • Monthly AWS spend that rises faster than usage
  • Overly permissive IAM roles and flat network layouts
  • Single-region designs with no tested failover plan
  • Manually created resources that nobody can reproduce
  • No clear view of cost, latency or errors per service
How we approach AWS

Well-architected thinking, applied to your actual workload.

We review a workload against the usual pillars of a well-architected design: security, reliability, performance, cost and operability. The output is not a generic checklist but a short list of changes ranked by risk and payoff for your system.

Everything we build is defined as code, observable from day one and sized for the traffic you have rather than the traffic you fear. We can work across AWS, Azure and Google Cloud, so recommendations are made on fit, not habit.

What we do on AWS

AWS engineering capabilities.

Six areas that cover most of what a growing platform needs from its cloud foundation.

AWS architecture and design

Target architectures matched to your workload, team size and growth, with the trade-offs written down.

  • Workload and architecture reviews
  • Account and environment structure
  • Compute, storage and database selection
  • Serverless versus container decisions

Networking and security

A network and access model that limits blast radius and stands up to a security review.

  • VPC and subnet design
  • Least-privilege access policies
  • Secrets and key management
  • Encryption in transit and at rest

AWS cost optimization

Cost treated as an engineering metric: visible, attributed and reviewed regularly.

  • Spend audits and right-sizing
  • Autoscaling and scheduling policies
  • Cost attribution by service or team
  • Commitment and capacity planning

Resilience and multi-region architecture

Designs that match your recovery targets, from multi-zone to multi-region where the business case exists.

  • Availability zone and region strategy
  • Backup, restore and disaster recovery
  • Failover design and testing
  • Data replication trade-offs

Cloud-native application development

Applications built to use managed services, scale horizontally and recover automatically.

  • Microservices and event-driven design
  • Container and serverless workloads
  • Managed data and messaging services
  • Twelve-factor application practices

Automation and observability

Infrastructure defined as code and monitored so problems surface before customers notice.

  • Infrastructure as code with Terraform
  • CI/CD for application and infrastructure
  • Metrics, logs and tracing
  • Alerting tied to real service goals
Technical expertise

Tooling we use around AWS.

AWS rarely runs alone. These are the technologies we combine with it in production work.

Cloud

  • AWS
  • Azure
  • Google Cloud

Platform

  • Kubernetes
  • Docker
  • Terraform
  • GitHub Actions

Backend

  • Node.js
  • Python
  • Go
  • .NET

Data

  • PostgreSQL
  • MongoDB
  • Redis
  • Kafka
Engagement approach

From review to a cloud estate you can reason about.

A staged path that surfaces risk and savings early, then builds the foundation properly.

01

Review the current estate

We map accounts, workloads, spend and access, and identify the highest-risk and highest-cost areas first.

02

Design the target architecture

We define networking, security boundaries, scaling and recovery targets, and document the decisions.

03

Codify the foundation

Environments, networking and permissions are written as Terraform so they are reviewable and repeatable.

04

Migrate and harden workloads

Workloads move onto the new foundation in stages, with security controls and observability in place.

05

Operate and optimize

We track cost, latency and reliability after go-live and keep tuning the estate as usage changes.

Business outcomes

What a sound AWS foundation gives you.

Outcomes we design for, rather than numbers we promise in advance.

Predictable cloud spend

Cost is attributed, reviewed and tied to usage, so growth does not arrive as a surprise invoice.

A smaller security surface

Least-privilege access, segmented networks and managed secrets make audits easier to pass.

Resilience matched to the business

Recovery targets drive the design, so you pay for multi-region only where it is justified.

Reproducible environments

Infrastructure as code means staging, production and recovery environments behave the same.

Faster, safer releases

Automated pipelines and clear observability let teams ship often and find problems early.

FAQ

AWS cloud consulting: common questions.

What buyers usually ask before starting a project with us.

What does AWS cloud consulting include?

It typically covers architecture review and design, networking and security, cost optimization, resilience planning and the automation to run it all. We scope it to your workload, from a focused review to hands-on engineering.

Can you reduce our AWS bill?

Often, yes. We audit spend, right-size resources, add autoscaling and attribute cost to services, then review it regularly. The size of the saving depends on your starting point, so we assess before estimating.

When do we need a multi-region architecture?

When your recovery time, recovery point or latency requirements cannot be met from one region. Multi-region adds cost and complexity, so we start from the business requirement and choose the simplest design that meets it.

Do you only work with AWS?

No. We also work with Azure and Google Cloud, and we plan for portability where it makes sense. We recommend the platform that fits your workload, compliance needs and team.

Can you build new applications on AWS, not just advise?

Yes. We develop cloud-native applications and the infrastructure under them, so the same team designs, builds and automates the platform.

How is this different from your general cloud engineering service?

Our cloud engineering service covers cloud platforms broadly. This page focuses on AWS-specific design, cost and resilience work for teams that already run, or plan to run, on AWS.

Want a clear view of your AWS architecture, cost and risk?

Tell us what you run today and where it hurts. We will respond with an honest view of what to change first.