Cloud
AWS and Google Cloud Consulting for Data, Automation and AI
AWS and Google Cloud for your data, automation and AI workloads, built secure and cost-aware.
01
Cloud built for your data, automation and AI
Most growing companies do not need a cloud migration programme. They need their data, automations and AI workloads running somewhere reliable, secure and affordable, and someone who knows which cloud services to use and which to avoid.
Our AWS and Google Cloud consulting focuses on exactly that: data pipelines and warehouses, serverless automations, AI services and the infrastructure underneath them, built with security and running costs designed in from the start.
02
What our AWS and Google Cloud consultants build
Data pipelines and warehouses
Data from your applications and APIs landed, transformed and modelled for reporting and AI.
- BigQuery, Redshift or Snowflake
- Scheduled and event-driven loads
- Data quality checks
Serverless automation
Workflows and integrations on Lambda or Cloud Functions that run without servers to manage.
- Event-driven processing
- Scheduled jobs
- Pay only for what runs
AI and machine learning services
AI features built on Amazon Bedrock, SageMaker or Google Vertex AI, inside your own cloud account.
- Models kept in your account
- Document AI and extraction
- Vector search for retrieval
Hosting for automation tools
Self-hosted n8n, internal apps and APIs deployed with backups, monitoring and updates.
- Containers on ECS or Cloud Run
- Managed databases
- Backups and alerts
Security and access
Identity, networking and secrets set up so least privilege is the default.
- IAM roles and policies
- Secrets management
- Audit logging
Cost review
Existing AWS or Google Cloud bills reviewed for idle resources and the wrong service choices.
- Idle and oversized resources
- Storage and egress costs
- Budgets and alerts
03
Cloud consulting questions
AWS or Google Cloud?
Do you do full infrastructure migrations?
Will it be expensive to run?
Who owns the cloud account?
Tell us what needs to run in the cloud
Describe the data, automation or AI workload. We will come back with an architecture, a monthly running-cost estimate and what it takes to build.
A reply from a consultant, usually within one working day.
Part of our Data Management and Engineering hub. Start with our data management services.
Data Management and Engineering
More on data management services
Common Data Quality Challenges in Pharma MDM (and How to Fix Them)
Common Data Quality Challenges in Pharma MDM (and How to Fix Them) In pharmaceutical organizations, Master Data Management (MDM) sits at the center of analytics, commercial operations, regulatory...
Data Transformation Service
Challenges of Data Transformation How Data Transformation Service can Benefit Businesses Types of Data Transformation Data Cleansing Removing errors, inconsistencies, and duplicates from the data...
Data Stewardship Service
Challenges of Data Stewardship How Data Stewardship Service can Benefit Businesses Types of Data Stewardship Data Quality Management Identify and rectify data quality issues, ensuring high-quality...
Data Standardization Service
Challenges of Data Standardization How Data Standardization Service can Benefit Businesses Types of Data Standardization Format Standardization Converting data into a standardized format, such as...
Data Strategy Service
Some Common Challenges Faced by Businesses Due To Absence of Well Defined Data Strategy How can Greenwolf Tech Labs Can help Businesses in Setting Up a Robust and Efficient Data Strategy Define...
Get started
Tell us where the week goes
Two weeks, fixed scope, a costed plan at the end. No obligation after it.
- We map your workflows and where the time actually goes
- You get the three that cost the most, with what automating them takes
- Delivered as a document, in 5 to 7 working days
Tell us where the week goes
A digital audit maps your workflows, names the three that cost the most time, and prices what it takes to automate them. No obligation after it.