Category: Cloud
- 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?
- What are the common causes of cloud outages? ()
What causes cloud outages and downtime? Misconfiguration? Software bugs? Human error? A look at Amazon, Azure and Google clouds to see what causes downtime.
- Who has the best serverless platform? ()
Back in August 2017 I wrote a post about: Who has the serverless advantage? AWS Lambda vs GCP Cloud Functions vs Azure Functions. We were three years into commercial serverless offerings and there were still a lot of limitations. My main observation was: What really matters is the availability and consumption of other services within the cloud […]
- Office productivity – where Google and Microsoft have an advantage over AWS ()
Office productivity – this is one major area that AWS is significantly behind. So why does it matter?