We designed the Rackspace Government Cloud Secure Configuration Baseline (RGCSCB) to support government cloud workloads, delivered to the customer as an Amazon® Machine Image (AMI).
Cloud computing has become the new normal for a lot of enterprises, start-ups, and those companies that still run legacy systems. Embarking on digital transformation by leveraging the Cloud is one of their top priorities.
As machine learning (ML) initiatives become more prominent across companies looking to leverage their data to improve future projections and decision-making, demand for frameworks that simplify ML model development has been soaring.
The value of data is tremendous, and any business model requires data to drive decisions and make projections for future growth and performance. Business analytics has traditionally been reactive, guiding decisions in response to past performance. Leading companies have begun to use machine learning (ML) and artificial intelligence (AI) to learn from this data and harness it for predictive analytics. This shift, however, comes with significant challenges.
Before the release of PeopleTools 8.56 (in the year 2017), you had to download all PeopleSoft® components (web server, application server, Java, and creation of domains) and install them individually on the server. However, with automation and innovation picking up pace, Oracle® now provides a deployment package (DPK) that you can use to install everything at once.
AWS cost optimization is at the heart of the Amazon cloud experience. After all, the ability to do more with less—accelerate business with lower infrastructure costs—is the promise of the cloud.
Originally published in Nov 2017, at Onica.com/blog
In 2017, Macy’s® wasn’t the only retail website that was overwhelmed on the biggest shopping day of the year. Old Navy®, GAME®, and Quidco® were also caught unprepared for the high traffic surges and lost sales opportunities in the short and long run.
“What tools do you use for visualization?" You often hear this question in deep learning and reinforcement learning (RL), which is even more common among those beginning to gain interest and run experiments.
Originally published in May 2018, at Onica.com/blog
Running containerized applications with Amazon EKS is a popular choice, but it still requires a certain amount of manual configuration. There are several ways to get cheaper instances for your Kubernetes® Operations (kops) cluster, and we go through them in this article.