It’s difficult for organizations to keep up with the pace of change in cloud. Too often, best efforts to “train for what’s next” are overtaken by short-term priorities at the expense of the team. Organizations need more control over the training process and the confidence that teams are on track. They need a platform that..
It’s no secret that cloud, its supporting technologies, and the capabilities it unlocks is disrupting IT. Whether you’re cloud-first, multi-cloud, or migrating workload by workload, every step up the ever-changing cloud capability curve depends on your people, your technology, and your business requirements. Any new technology comes with growing pains. As cloud computing increasingly becomes..
Introduction to Machine Learning on AWS This is your quick-start guide for building and deploying with Amazon Machine Learning. By the end of this learning path, you will be able to apply supervised and unsupervised learning, ML algorithms, deep learning, and deep neural networks on AWS. It includes 3 Hands-on Labs where you will work..
For teams training complex machine learning models, time and cost are important considerations. In the cloud, different instance types can be employed to reduce the time required to process data and train models. Graphics Processing Units (GPUs) offer a lot of advantages over CPUs when it comes to quickly processing large amounts of data typical..
A 2017 RightScale survey* reported that 85% of enterprises have embraced a multi-cloud strategy. However, depending on whom you ask, multi-cloud is either an essential enterprise strategy or a nonsense buzzword. Part of the reason for such opposing views is that we lack a complete definition of multi-cloud. What is multi-cloud? There is little controversy..
LEARNING PATHS Introduction to Kubernetes Kubernetes allows you to deploy and manage containers at scale. Created by Google, and now supported by Azure, AWS, and Docker, Kubernetes is the container orchestration platform of choice for many deployments. For teams deploying containerized applications, this learning path will serve as introduction to the Kubernetes ecosystem and a..
Companies have been using devices and sensors to measure and quantify data for awhile now. By 2020, Gartner predicts that more than 65% of enterprises will adopt Internet of Things (IoT) products, compared to just 30% today. The low cost of devices and the wide availability of the internet gives companies even more reasons to..
When it comes to cloud, the good news is that we’re past the period of fear, uncertainty, and doubt. Everyone now agrees that the cloud is a key part of any firm’s IT investment. The not-so-good news is that there is still confusion about what to move, how to move it, and the best practices..
As companies increasingly move into a digital future, many of their digital transformation initiatives—modernizing IT, tackling big data, setting the stage for tech innovation—are made possible by the cloud. According to Gartner¹, more than half of global enterprises using cloud today will adopt an all-in cloud strategy by 2021. Cloud skills—and the expertise to lead..
At Capital One, DevOps is about delivering high quality, working software, faster. This means software that is reliable, secure, usable, and performant while providing value and accomplishing those important end user goals. Everything is about speed of delivery and getting that feedback. Mark Andersen is the Director of DevOps for Capital One’s Auto Finance group..