Partnership that works

Trusted by thousands of digital natives worldwide
Supporting operations at scale
DoiT International is proud to deliver professional managed services for Google Cloud. From requirements analysis through architecture design and implementation, DoiT has been working with Google Cloud for more than a decade to help customers take full advantage of the public cloud.
With features such as improved performance, scalability, database storage and availability, and content delivery, among others, the ability to scale and grow with Google Cloud are limitless.
Get in touch with us to learn more.
Our Google Cloud services
Production-grade Kubernetes support
Operate an agile Kubernetes infrastructure backed by our experts. Our support covers critical workflows and technologies so you can build, run and scale Kubernetes with confidence.
Technical support for Google Cloud
DoiT provides around the clock support on Google Cloud services, including the design and architecture of new or existing cloud-native applications.
“The DoiT team helped us develop our GKE expertise and now, rather than spending days trying to dig through the documentation to find what’s gone wrong, we speak to DoiT and within a couple of hours we have found the reason and the solution.”
Nathan Burrill
Lead DevOps Engineer

Open source
Design. Develop. Do.

Recent blogs

Design principles in a distributed digital world
An accessible website is easier to navigate, reinforcing customer loyalty. We discuss web design principles that help ensure visitors with and without disabilities have the best experience possible.

Helping customers harness the cloud to deliver customer value
In an interview with theCUBE at AWS re:Invent 2022, DoiT’s John Purcell and INFINOX Global’s Danislav Penev discuss managing cloud complexity and cloud costs to deliver customer value.

Avoiding eight common Big Query query mistakes
Optimizing BigQuery involves avoiding some common mistakes people make when writing BigQuery queries. We explain how issues such as using small inserts and overcomplicated views can slow down your query processing and increase costs.