We discuss upcoming enterprise cloud trends for 2017. We look at how collaboration is advancing with platforms like Slack and determine whether this trend is here to stay. Deep learning is another important 2017 focus, especially because the economics have become favorable and analytics no longer cost as much. This means we can now create things like neural networks and advanced predictive algorithms at a much lower cost. We also look at the return of SQL, and discuss whether it ever left at all. It seems SQL will be important in 2016, from MongoDB and beyond. We see how containers are here to stay and to manage clusters, Kubernetes will be the top player in 2017. We see how serverless computing makes development easier, especially looking at AWS Lambda. Instead of deploying apps and microservices, we now deploy functions that do only one thing with serverless computing. This is a lot more to manage for large enterprises because of how granular functional programming can become. We also look at custom cloud processors as an alternative to using major chip manufacturers and processors. IoT will continue to forge ahead in 2017 and the keyword will be interoperability. With so many new devices, standards on security and governance will be crucial next year. IT spending as we know it may change in 2017 as more and more enterprises look into PC-as-a-service models instead of purchasing expensive equipment. Last, we discuss the rise of Python programming language and where it will go in 2017 from data science to teaching it to kids.
Our guest on the podcast this week is Mat Keep, Director of Product & Market Analysis at MongoDB. We discuss the differences between open-source database systems like MongoDB and relational databases that use SQL. In the early days of open-source, it used to be built to replicate what proprietary software did well. Today, open-source is the innovator because that is what developers expect and need to be successful. In many ways MongoDB builds on the success of relational databases and replicates their best features while allowing for more rapid innovation and time to market. Modern applications deal with data that is both structured and unstructured, which means the database needs to be able to evolve rapidly. At its core, MongoDB is built for developers to improve productivity. It allows them to develop applications much faster and to build what had previously not been possible on relational databases.
Our guest on the podcast this week is Michael Crandell, CEO and Founder at RightScale. We discuss the early years of cloud computing before it had a name and when it was often referred to as “elastic compute cloud” or “utility computing”. In this time there was a need for a universal cloud management platform, which resulted in Michael creating RightScale. RightScale started as an Infrastructure-as-a-Service model for AWS that provided compile, storage, and networking services. Today, they have expanded to work with all providers including containers. With multiple tools for clients to customize, cloud instances are becoming more and more complex. We look at the State of the Cloud for 2017 and see that for many years people found cloud security to be the single biggest challenge of the cloud, but in 2016 people changed their minds. Today, the biggest cloud challenge is the skills and expertise gap for enterprises implementing a cloud strategy.