- Fighting over who has the greenest public cloud ()
Public cloud price wars have ended, and a new battle over who is the greenest has begun.
- Assessing the suitability of the Greenhouse Gas Protocol for calculation of emissions from public cloud computing workloads ()
A copy of my paper published in the open-access Journal of Cloud Computing.
- Hiding greenhouse gas emissions in the cloud ()
The scientific journal, Nature Climate Change, has published a paper I’ve written about how moving to the cloud can result in greenhouse gas emissions being hidden.
- How much water do data centers use? ()
US data centers are expected to use 660 billion litres of water in 2020. In 2018, Google consumed 15.79bn litres and Microsoft 3.61bn litres, primarily for their data centers. What is this used for and how does it impact the environment?
- Energy efficiency, edge compute and serverless ()
We want to encourage more efficient use of cloud resources but designing incentives is hard. That changes with serverless and edge compute. Now energy usage is linked to price.
- Carbon emissions aware cloud compute ()
The first example of carbon aware compute is uniquely suited to hyperscale cloud environments. It becomes even more interesting with carbon aware load balancing and serverless.
- Data center energy and the importance of efficiency ()
Data center energy usage has only grown by 6% in the last decade. How important have efficiency improvements been for decoupling energy from growth?
- How much energy do data centers use? ()
Data centers are responsible for between 1-1.5% of global electricity usage today but some scenarios project that will grow to 3-13% by 2030. How realistic is this? How efficient are servers and data centers? Will efficiency continue to improve?
- How can data centers use 100% renewable electricity? ()
If we still generate energy from non-renewable sources, how can a data center be 100% renewable? What does 100% renewables and sustainability mean for data centers and the cloud?
- The importance of the developer experience – comparing Google Cloud Functions vs Azure Functions ()
In porting a project from Google Cloud Functions to Azure Functions, I found Microsoft’s developer experience is a great example of attention to detail. What does that mean for startups selling to developers?