Security is critical for successful cloud adoption. Many enterprises are willing to invest their money to ensure that data and applications are kept safe, with Forrester reporting a 28% increase in cloud security spending to $3.5 billion by 2021. The new AWS Certified Security – Specialty Exam, released in April, is an opportunity to for..
Enterprises are leveraging a variety of open source products including operating systems, code libraries, software, and applications for a range of business use cases. While using open source comes with cost, flexibility, and speed advantages, it can also pose some unique security challenges. Given that open source components may be present in up to 96%..
The other week, our team attended AWS Summit London, the first of several AWS Summits that we’ll sponsor this year. The London event included a day of workshops on Wednesday, followed by a full agenda of open sessions and a keynote from Amazon CTO Dr. Werner Vogels on Thursday. With AWS re:Invent already open for..
Cloud Academy is proud to be a sponsor of AWS Summit London coming up May 9-10 at the ICC, ExCeL, London. Join us in booth S24, Level 1 where our AWS experts will be on hand to answer your questions and walk you through our latest content and newest platform features. Book a meeting with..
New on Cloud Academy: Machine Learning on Google Cloud and AWS, Big Data Analytics, Terraform, and more
A 2017 IDC White Paper “recommend[s] that organizations that want to get the most out of cloud should train a wide range of stakeholders on cloud fundamentals and provide deep training to key technical teams” (emphasis ours). Regular readers of the Cloud Academy blog know we’ve been talking about this for a long time. Future-proofing your..
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..