Transforming Information Into Knowledge
Transforming Information Into Knowledge
Data engineering regularly gets blamed when things go wrong with the company’s data analytics. In fact, 21% say this always happens and another 42% believe it occurs often. Sometimes the blame may be deserved, but when undeserved quitting is an attractive option. Unsurprisingly, when data engineering is always blamed for the Data/Analytics problems, 65% are very likely to leave.
Containers are being used or actively evaluated by 32 percent of respondents, compared to 19 percent for serverless computing and 14 percent for FaaS (function as a service).
Data pipelines and messaging are now the top two uses of Kafka, followed by microservices/event processing and stream processing.
The New Stack believes that although China’s adoption may be several months behind compared to its Western counterparts, differences also arose for two other reasons.
Chinese developers are, in general, less far along in their production deployment of containers and Kubernetes.
People face a wide range of problems when using or deploying Kubernetes. While some challenges are unique to Kubernetes, many others are typical of the growing pains seen with the adoption of many technologies. “The State of the Kubernetes Ecosystem” reported on both the importance […]
The considerable growth in the Kubernetes market is well documented. It is by far the most widely used orchestration platform, but it’s not the only one, preventing it from receiving full default status. Kubernetes’ acceptance has forced it to mature quite fast and has left the technology community to rapidly innovate.
Blockchain is hot, but it still has to make exponential-size gains until it rivals other skills, such as React programming, that will get a developer a job.
Some large customers looking for improved latency may start to demand that their cloud services be hosted in the same facilities as their co-located IT infrastructure equipment.
At least superficially, adoption of serverless technologies now matches that of containers. However, the depth of its use in production applications has yet to be determined.
Application support consumes more internal labor spend than application development on average, despite generally higher salaries for application developers than for support personnel.
Container registries and vulnerability scanners are often bundled together, but they are not the same thing.