Now that I’ve predicted that in 2018 machine learning will be available to ‘average Joe developer,’ let me share my experience from this weekend. Note that I’m not trying to be a ‘cool geek’ by doing some hands on work (I’m way too old to still be cool), but based on all the machine learning and artificial intelligence buzz in 2017, I thought my use case should be quick, simple, and most importantly solving a problem that could otherwise not be solved.
“We want everyday developers (...) to be able to use machine learning much more extensively.” This is Andy Jassy’s mantra targeted at making AWS the company that turns machine learning into a commodity, similar to what the company achieved for IaaS before. Within this context, the following two new offerings stood out of the glut of machine learning and IoT news at Re:Invent 2017.
AWS Re:Invent 2017 – Serverless Containers, Managed Kubernetes, Bare Metal, Machine Learning, and IoT
Breaking the Triangle of Cost, Quality, and Speed
This year’s AWS Reinvent delivered major announcements in DevOps, machine learning and IoT. All of the announced capability aim to eliminate infrastructure as the bottleneck for enterprises to become ‘digital attackers’. Observing the nearly 50.000 developers, architects, and software operators that came to Reinvent showed us a significant degree of genuine excitement about Amazon helping enterprises release new software faster, at a higher quality and lower cost.
SDDC 2.0 with Kubernetes, Apigee, and Istio – Cisco’s Collaboration with Google Follows a Grander Vision
On October 25, Cisco and Google announced their hybrid cloud partnership, where Google brings the container runtime (Kubernetes), the platform to provide, manage, and consume APIs (Apigee), and of course a wide range of consumable cloud services (visual recogngition, machine learning, text to voice, etc.). Cisco contributes the hyperconverged infrastructure (Hyperflex) with Kubernetes management (Harmony), networking (Nexus 9k), and hybrid cloud management software (CloudCenter) to integrate Google’s public cloud services with the customer’s local data center.
VMware Goes SaaS-Ops and Multi Cloud: Launch of VMware Cloud on AWS and Six VMware Cloud Services for Consistent Data Center and Cloud Management
At VMworld 2017, VMware announced the availability of VMware Cloud on AWS and of the six initial VMware Cloud Services. VMware Cloud on AWS offers customers the long expected capability of deploying VMware's Cloud Foundation Suite of SDDC products (vSphere, NSX and vSAN) to AWS. VMware Cloud Services enable operators, developers, security experts and compliance staff to consistently deploy and operate application infrastructure across today's most popular clouds: AWS, Google, Azure and vSphere. Today, both offerings, VMware Cloud on AWS and VMware Cloud Services are available from AWS U.S. West (Oregon Region), but can be used worldwide. VMware and Amazon are planning to roll out both offerings worldwide during 2018.
“vRealize Automation really doesn’t have an API,” says a reputable partner of a VM-ware centric consulting firm, “they say that it does, but it still does not, so I won’t tell my customers that it does.” Then he goes on in a slightly agitated manner “,also, there is no easy-to-implement orchestrator and no central queueing system to tie together all the VMware components based on dynamically changing policy-defined app requirements.” “Then finally,” he continues, “I have yet another client who asked me to come back with ‘an alternative to vRA, as my developers just don’t want vRA."
An Easy Button for Serverless Functions: Back& Turns Average Joe Developer into Serverless Super Hero
“It feels like magic but it is technology,” and “we will help transform every company into a software company,” were the two quotes by Michael Dell that best summed up the spirit of Dell EMC World 2017. These statements show the genuine excitement of a seasoned tech executive to attack the next challenge of his career: merging the Dell EMC brands -Pivotal, VMware, RSA, SecureWorks, and Virtustream- into one highly differentiated IT powerhouse.