2017 was supposed to be the year of the Internet of Things (IoT)—the year that this highly-touted technology matured and started producing tangible results for organizations. However, the last 12 months have left advocates of IoT frustrated. A report from Cisco claims that close to 75 percent of all IoT projects fail, and IoT as a buzzword has been replaced by the likes of artificial intelligence and blockchain. This disheartening news paints a grim picture for IoT.

LPWAN (Low Power Wide Area Network), also known as LPWA or LPN, is a wireless data transport protocol that is now understood as one of the basic protocols for the implementation of IoT. In order to have a better idea of the relevance of LPWAN we can consider the prediction made by statisca.com of a steady increase in the number of LPWAN devices connected around the world, expecting this number to reach around 3.5 billion devices by 2021.

When we talk about IoT (or the Internet of Things), we immediately imagine a series of devices – although IoT is much more than that, we often think of household appliances – working in a coordinated way, as if by magic. But those who work with magic (like those who work with engineering) know that behind a great effect there is a complicated and laborious mechanism designed to make the trick work perfectly, and the audience is first surprised and then breaks into applause.

2017 was a bad year for fires in California. The Tubbs Fire in Sonoma County in October destroyed whole neighborhoods and sent toxic smoke south through most of the San Francisco Bay Area. The Air Quality Index (AQI) for parts of that area went up past the unhealthy level (101–150) to the hazardous level (301–500) at certain points during the fire. Once word got out that N99 dust masks were needed to keep the harmful particles out of the lungs, they became a common sight.

A new MIT Technology Review report reveals why—and how—application performance monitoring (APM) is the key to deriving maximum business value from the Internet of Things. Here’s what IT pros can learn from the findings.

Operating containerized infrastructure brings with it a new set of challenges. You need to instrument your containers, evaluate your API endpoint performance, and identify bad actors within your infrastructure. The Istio service mesh enables instrumentation of APIs without code change and provides service latencies for free. But how do you make sense all that data? With math, that’s how.