Tag: AWS Partner Guest Post

Companies struggling with data science don’t understand the data science life cycle. As a result, they fall into the trap of the model myth. This is the mistake of thinking that because data scientists work in code, the same processes that works for building software will work for building models. Models are different, and the wrong approach leads to trouble. Domino Data Lab shares that organizations excelling at data science are those that understand it as a unique endeavor, requiring a new approach.

Fostering a data-driven culture within your organization isn’t only about technology. It’s also about enabling stakeholders to make better decisions and realizing new opportunities by embracing an AI-driven mentality for solving business problems. In this post, AWS Machine Learning Competency Partner Crayon discusses some of the first steps you should take and the essential questions to ask yourself as you thoughtfully develop your company’s relationship with data.

The nature of data has changed dramatically. Just a decade back, the majority of our data was structured (residing in relational databases) or textual. Now, with the advent of self-driving vehicles, drones, and the Internet of Things (IoT), images and video data are taking the lion’s share of the data storage zoo. As we create more and more data on more and more devices, however, this problem is not going away. In fact, we have reached a point where there aren’t enough people on the planet to label all the data we’re creating.

At Tableau Conference 2018, we announced a new AWS Quick Start: Tableau Server on AWS for Healthcare. This lets customers quickly deploy Tableau Server on AWS in a manner that is preconfigured with common security and compliance controls, such as encryption at-rest and in-transit, and support their compliance objectives out of the box. The Quick Start comes with a jointly authored security controls reference describing how different parts of the HIPAA Security and Privacy Rules apply to AWS and Tableau.

Leading organizations around the world are using CloudHealth to understand what’s driving the cost of their Amazon ECS, Kubernetes, and Mesos clusters. CloudHealth Container Module enables users to customize what and how to report on container usage and costs. Starting at the cluster level, it’s useful to compare the amount of resources allocated to container tasks to the available capacity of the cluster. In this post, we discuss how CloudHealth’s support for Amazon ECS helps you understand your AWS resource usage and cost.

A multi-company team led by ARRAY delivered for the U.S. Air Force a successful modernization of a COBOL-based system running on aged mainframes to a Java-based system running on x86 Red Hat Enterprise Linux (RHEL). AWS provides the system’s capabilities for reliability, scalability, and this post describes the objectives, approach, solution, lessons, and customer benefits realized from this experience.

At West Monroe Partners, we’re confident that Amazon Connect will scale with us as our organization grows. Amazon Connect’s integration with other AWS services, the responsiveness of AWS Support, and the continued development of new services and integrations by AWS will enable us to evolve with the market. Moreover, the significant cost savings we’re seeing with Amazon Connect allows us to invest in the system to improve interactions for our clients.

Pulumi is a cloud-native development platform for describing, deploying, and managing cloud infrastructure across AWS, Kubernetes, and other cloud platforms. Pulumi offers cloud configuration as software, not just via a declarative language like YAML or JSON, but instead using popular programming languages such as JavaScript/TypeScript and Python. You can use Pulumi to easily deploy Amazon EKS, or to deploy your own custom AWS and Kubernetes-based applications and infrastructure.

Spring Venture Group reached out to APN Premier Partner Logicworks to architect and manage their AWS deployment. Their developers were comfortable building and deploying containers in their on-premises environment, but were eager to get greater agility and flexibility on AWS. Running AWS Service Catalog and Amazon ECS has created a reliable, stable deployment pipeline, resulting in hundreds of hours saved for their engineering team each month.

To ensure the transformation to Amazon WorkSpaces is as seamless as possible for organizations and end users, APN Partners Nuvens and Liquidware have partnered to build a solution allowing users to access their desktop anywhere, anytime, and using any device. Companies can easily provision desktops for users in just a few mouse clicks and deliver global user access to applications, documents, and other resources. Check out the Nuvens Consulting Offer on AWS Solution Space.