The most interesting developments have been in infrastructure.
AWS has started to take on third-party, open source components e.g. Cassandra, ElasticSearch, MongoDB as they run out of things to build. Expect them to continue further up the stack possibly into applications.
Kubernetes has really taken off with every cloud provider having a solid implementation. And it's getting massive adoption within the enterprise as companies look to reign in their cloud cost, simplify their infrastructure and have better DevOps. It also allows them to standardise the NFRs across multiple applications e.g. metrics, logging, security, routing which is more important than ever.
Data Science has seen massive adoption in the last few years within the enterprise space as companies go after the low hanging fruit. Also seeing lots of traditional Data/Reporting Analysts been cross skilled in Data Science and vice versa. It's definitely here to stay for the long term just without the hype.
AWS has started to take on third-party, open source components e.g. Cassandra, ElasticSearch, MongoDB as they run out of things to build. Expect them to continue further up the stack possibly into applications.
Kubernetes has really taken off with every cloud provider having a solid implementation. And it's getting massive adoption within the enterprise as companies look to reign in their cloud cost, simplify their infrastructure and have better DevOps. It also allows them to standardise the NFRs across multiple applications e.g. metrics, logging, security, routing which is more important than ever.
Data Science has seen massive adoption in the last few years within the enterprise space as companies go after the low hanging fruit. Also seeing lots of traditional Data/Reporting Analysts been cross skilled in Data Science and vice versa. It's definitely here to stay for the long term just without the hype.