- 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?
- How the cloud changes how developers should think about costs ()
From fixed pricing per month to billing per function call, the cloud changes how developers should think about their application development
- Have the big cloud providers won the machine learning advantage? ()
At ReInvent last week, Amazon announced GuardDuty, which provides “intelligent threat detection and continuous monitoring” for your AWS workloads. With one click, you can enable real time analysis of events, network activity and DNS logs and begin to benefit from early detection of threats. It even has the capability to automate responses with Lambda triggers. […]