Cloud & DevOps Services
- Engineering-Led
Cloud - AWS, Azure &
Google Cloud - Automated
Delivery - Continuous
Optimization
- Architect
- Migrate
- Automate
- Optimize
Six cloud services from one team.
Our Cloud & DevOps Services
Six Services for Building and Running Your Cloud
Each service covers a different part of building and running cloud environments. Start with one, or combine them into a single program.
Cloud EngineeringDesign, build, modernize, and optimize cloud environments across architecture, infrastructure, cloud-native engineering, and automation.Explore Service
AWS ConsultingArchitect, implement, modernize, and optimize AWS environments around your applications, data, and workloads.Explore Service
Microsoft Azure ConsultingDesign, engineer, and evolve Microsoft Azure environments across infrastructure, applications, data, and DevOps.Explore Service
Google Cloud ConsultingEngineer Google Cloud environments for applications, data platforms, AI workloads, and connected enterprise systems.Explore Service
Cloud MigrationAssess, plan, move, modernize, and validate applications, data, and workloads on the way to the cloud.Explore Service
DevOps & Platform EngineeringBuild CI/CD pipelines, infrastructure automation, and internal platforms that make software delivery consistent.Explore Service
Where to Start
Find the Right Cloud & DevOps Service
Each service answers a different question about your cloud. Find yours below, or ask us and we will help you decide.
- Cloud EngineeringEngineering and evolving your overall cloud environment across platforms
- AWS ConsultingDesigning, building, modernizing, and optimizing your AWS environment
- Microsoft Azure ConsultingDesigning, building, modernizing, and optimizing your Microsoft Azure environment
- Google Cloud ConsultingDesigning, building, modernizing, and optimizing your Google Cloud environment
- Cloud MigrationMoving and modernizing existing workloads, applications, and data into the cloud
- DevOps & Platform EngineeringImproving deployment, infrastructure automation, and engineering platforms
Our Approach
How We Approach Cloud Work
The principles our cloud and DevOps engineers follow on every engagement.
Engineering, Not Just Hosting
We treat cloud as software to be designed, tested and maintained, not just a place to move servers.
Workload-Led Decisions
Decide which workloads to migrate, modernize, retain, or replace based on each one’s requirements.
Automation Built In
Automate infrastructure, deployments, and operational workflows so delivery stays consistent.
Continuous Optimization
Keep improving architecture, performance, and operations as workloads and requirements change.
How We Work
Five Steps to a Cloud Your Team Can Run
Discover → Architect → Build → Deploy → Optimize
Discover & Assess
Understand your applications, workloads, dependencies, and business priorities.
Architect & Plan
Define the target architecture, cloud approach, integrations, and roadmap.
Build & Automate
Engineer infrastructure, applications, pipelines, and automation workflows.
Validate & Deploy
Test functionality, scalability, and readiness, then deploy and integrate.
Monitor & Optimize
Monitor the environment and evolve it as workloads and requirements change.
Engagement Models
Flexible Ways to Work Together
Choose the model that fits your team, timeline and budget, and change it as your needs grow.
Dedicated Resource Model
Skilled professionals for your teams
Contract Staffing
Flexible hiring for short or long-term needs
Project Delivery
End-to-end execution with defined outcomes
Managed Support
Ongoing support and team augmentation
Technology Consultation
Expert guidance to shape your technology approach
Long-Term Partnership
A strategic partner for your growth journey
Who We Help
Different Businesses.
A Shared Ambition.
From growing technology companies to global enterprises, we help organizations build the technology, talent, and capabilities needed to move forward.
Real Impact
Cloud & DevOps in Practice
Examples of how we apply our engineering work to real business problems, from healthcare records to factory equipment and retail sales.
ManufacturingTurning Industrial Data Into an Operational AssetBuilding reliable pipelines for sensor readings, machine events and production records to support consistent operational monitoring.Read Case Study
Retail & E-commerceBringing Retail Data Together for Consistent Business ReportingBringing sales, orders, customer and inventory data into a central data warehouse for consistent cross-channel reporting.Read Case Study
HealthcareAI-Powered Medical Document IntelligenceApplying AI to extract, organise, and validate information from clinical documents, reducing repetitive administrative work for healthcare teams.Read Case Study
FAQs
Your Questions, Answered.
Quick answers to common questions about our cloud and DevOps services.
Talk to our team about your cloud requirement.
Talk to UsWhat does Cloud & DevOps cover at TECHAIVV?
Cloud & DevOps covers six services: Cloud Engineering, AWS Consulting, Microsoft Azure Consulting, Google Cloud Consulting, Cloud Migration, and DevOps & Platform Engineering. Together they span designing, moving, automating, and optimizing cloud environments.
Which Cloud & DevOps service should we start with?
It depends on your goal. Engineering your overall cloud environment points to Cloud Engineering, moving existing workloads to Cloud Migration, and improving deployments and automation to DevOps & Platform Engineering. We can help you decide during an initial conversation.
Does TECHAIVV support AWS, Azure, and Google Cloud?
Yes. TECHAIVV has dedicated AWS Consulting, Microsoft Azure Consulting, and Google Cloud Consulting capabilities alongside broader Cloud Engineering services.
How is cloud migration different from cloud engineering?
Cloud Migration focuses on moving and transforming existing workloads into a target cloud environment. Cloud Engineering is broader and covers designing, building, modernizing, integrating, and optimizing cloud environments throughout their lifecycle.
Can cloud environments support data and AI workloads?
Yes. Cloud environments can be engineered to provide the infrastructure, scalability, integration, and data foundations required by analytics, machine learning, and AI workloads, alongside TECHAIVV’s Data Engineering and AI Engineering services.
Can you combine several Cloud & DevOps services in one engagement?
Yes. Services are often combined, for example migrating workloads to AWS or Azure while building the CI/CD pipelines and infrastructure automation that will run them.
Let’s Build Together
Get More From Your Cloud
Tell us about your current environment and where releases slow down. We will suggest where to start.
Talk to Us- Architecture
- Multi-Cloud
- Migration
- Automation
- DevOps