Many organizations, including some of the world's largest companies, are at heightened risk of compromise and data theft from misconfigured and poorly secured software...
Enterprise customers have multiple lines of businesses (LOBs) and groups and teams within them. These customers need to balance governance, security, and compliance against...
Introduction
In recent years, deploying Containers has become a common trend in many companies. Applications are built, then turned into Images, and these Containers are...
With the advent of high-speed 5G mobile networks, enterprises are more easily positioned than ever with the opportunity to harness the convergence of telecommunications...
Tens of thousands of AWS customers use AWS machine learning (ML) services to accelerate their ML development with fully managed infrastructure and tools. For...
This post is co-written with Mahima Agarwal, Machine Learning Engineer, and Deepak Mettem, Senior Engineering Manager, at VMware Carbon Black VMware Carbon Black is...
Amazon SageMaker is a fully managed machine learning (ML) service. With SageMaker, data scientists and developers can quickly and easily build and train ML...
This post presents and compares options and recommended practices on how to manage Python packages and virtual environments in Amazon SageMaker Studio notebooks. A...
How close are we to the cloud service providers creating cloud-native internal developer platforms?
To set the scene, let's begin with overarching cloud migration strategies.
In...
This post is co-written with Swagata Ashwani, Senior Data Scientist at Boomi. Boomi is an enterprise-level software as a service (SaaS) independent software vendor...
