Cloud has turned infrastructure into a commodity.
This enables organisations of every type, size, and industry to focus on creating business value, rather than financing, building, and operating infrastructure. Up-front costs are minimised, allowing new projects to start quickly and cheaply, encouraging innovation.
Well-built cloud systems are scalable, secure, and simpler to operate. Cloud brings flexibility, resilience, and the ability to scale to meet increasing customer demand. We enable organisations to maximise the advantages brought by the cloud.
With a wide variety of use-cases from storage and backup to helping entire companies run serverless in the cloud, Infinity Works is experienced in the full range of cloud applications – indeed, our own business was “born in the cloud”. We’ve been at the forefront of cloud adoption since cloud came to market.
With cloud, we free business from the shackles of infrastructure: to build products, not platforms.
Working with the leading cloud vendors
We work with all the major public cloud vendors: Amazon Web Services (AWS), Microsoft Azure and Google Cloud Platform (GCP), and have attained Advanced Partner status with AWS.
Amazon Web Services (AWS)
We work closely with Amazon Web Services and the AWS Partnership Network, as an Advanced Consulting Partner. Infinity Works has 87 cloud certifications, including specialties in security, DevOps, and machine learning, and with the support of AWS, we are able to offer clients an AWS Well Architected Review.
Read more about our close partnership with AWS.
Infinity Works has 6 Azure certified professionals, and we are able to offer an Azure Health Assessments to organisations using Azure. Our Azure Health Assessment is designed to examine a system you run in Azure, assess it against cloud best practices and highlight areas that can be improved.
Google Cloud Platform (GCP)
Working with Google, we host the Google Developer Group at our headquarters in Leeds. We’ve also worked with AI and machine learning with Google Cloud Platform, drawing on data science expertise and experience with DeepMind.