Tag: Amazon Web Services

Workload Migration: What Should Go To The Cloud First?

There’s no longer any question: Cloud is winning, and the on-premises data center seems doomed to a future of declining relevance. The results of a recent survey by LogicMonitor confirm this, suggesting that 83 percent of enterprise workloads will be…

Read More >

Cloud Automation Is Winning. Will Your Organization Share In The Prize?

If you’re an IT leader, you don’t need us to tell you that cloud automation has become the lifeblood of the future-ready enterprise. And you don’t need us to make you feel a sense of urgency around becoming a 100%…

Read More >

Cloudscape Episode 4: April 2018 roundup of the key AWS, GCP and Azure updates

On this month’s edition of the Cloudscape Podcast we are once again joined by our expert panel of Warner Chaves, Greg Baker and John Laham. Our guests will be helping us through all the developments, news and updates from the…

Read More >

How to Enable Binary Logging on an Amazon RDS Read Replica

One of the more common struggles I’ve had to assist with in regard to Amazon RDS is enabling binary logging on read replicas, or forming multi-tier replication in instances using version 5.6 or later after seeing that multi-tier replication is…

Read More >

A Comparative Analysis of Amazon SageMaker and Google Datalab

Amazon SageMaker and Google Datalab have fully managed cloud Jupyter notebooks for designing and developing machine learning and deep learning models by leveraging serverless cloud engines. However, as much as they have in common, there are key differences between the…

Read More >

Choosing a data warehousing solution in the cloud

Your cloud data warehouse options from Google Cloud Platform, Microsoft Azure and Amazon Web Services When it comes to big data and analytics, more companies are heading to the cloud. In fact, according to a recent Forbes article 10 Predictions…

Read More >

Machine Learning on the Cloud: Notes for the Layman

What is Machine Learning? Machine learning is an assortment of tools and techniques for predicting outcomes and classifying events, based on a set of interactions between variables (also referred to as features or attributes) belonging to a particular data set….

Read More >