Interest is growing in cloud computing’s ability to reduce carbon, but the ‘green cloud’ argument is not as clear as many believe. I’ve argued over the years that cloud computing is a step in the right direction when it comes to sustainable computing. My viewpoint often opposes environmental organizations that argue against the many new power-hungry data centers that cloud companies build.

I was intrigued by two recent IoT related survey and reports. They emphasize use cases about efficiencies and return on investments but, surprisingly, there is no mention of people-safety nor productivity. I think it is imperative to place people at the heart of the IoT universe. Today, people related use cases have been greatly understated. We will be doing a great injustice if we continue to ignore the human angle.

Refereeing decisions at the World Cup have been debated decades later. From whether the ball crossed the line in the final in 1966, through Diego Maradona’s “Hand of God” two decades later, to some of the decisions made by the video assistant referee at Russia 2018, any perceived mistake by the referee will be scrutinized by fans years later. Referees need all the help they can get, and they could be about to be given a hand from artificial intelligence.

Developers strive to produce efficient code. Many times, developers will add code to their repositories and test it to make sure it works, but they are forgetting one very important step: benchmarking! Benchmarking allows developers to see the performance impact on their code output. If properly integrated into a CI/CD pipeline, it could prevent catastrophic drops in performance before any code is shipped/deployed at all.

Don’t let your organization fall victim to data exposure; a well-defined strategy will cover all aspects of the cloud shared responsibility model and keep your data secure. Not long ago, security concerns were the number one reason IT executives hesitated to move workloads to the cloud. Much has changed since then. Security is now considered one of the great strengths of both cloud infrastructure and software-as-a-service (SaaS) platforms. But that doesn’t mean total security is assured.

Big data is a funny phrase. It’s obvious that we produce a massive amount of data: 4.9 billion people use the internet for an average of seven hours per day. Hundreds of billions of sensors, located on everything from smartphones to satellites, stream data 24/7. You would think that big data software gives us the ability to discover all the insights in the world. At the very least, we should be able to pull data on demand. In reality, the process has been slow and limited.

It’s one of those questions that’s tossed around the internet quite regularly. “Is DevOps dead?” Is there a genuine reason to think that DevOps is on its last legs? Or are authors just trying to get clicks by making controversial statements? Let’s look at some of the main justifications given for raising this question: I’ll come back to these points shortly.

Industry analysts do primary research and two of the best, IDC and EMA (Enterprise Management Associates), have recently published some great insights for enterprises in 3 areas.

In order to answer this question, it is necessary to define what middleware is. It is generally accepted that middleware is software that sits between existing systems and processes and helps to smooth integration and interaction between them. Because of the sheer range of middleware and the scope of what it can do and affect in terms of business infrastructure, it is vital that it can be successfully monitored and managed.