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 usage has only grown by 6% in the last decade. How important have efficiency improvements been for decoupling energy from growth?
Globally, data centers were estimated to use between 196 terawatt hours (TWh) and 400 TWh in 2020, or between 1-2% of global electricity demand.
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 causes cloud outages and downtime? Misconfiguration? Software bugs? Human error? A look at Amazon, Azure and Google clouds to see what causes downtime.
Back in August 2017 I wrote a post about: Who has the serverless advantage?
Office productivity - this is one major area that AWS is significantly behind. So why does it matter?
From fixed pricing per month to billing per function call, the cloud changes how developers should think about their application development.
Unlimited attack surfaces. Users not paying attention to basic security practices. Vague vendor promises. It looks like a very immature landscape where things are just getting started.
Cloud infrastructure introduces the model of paying for everything you use, which includes many things you might not think about. What are the hidden costs of cloud to watch out for?