Category: Intermediate (200)

In the AWS Managed Services Provider (MSP) Partner Program, many of our next-generation MSPs deliver hands-on, proactive, and consultant-level support that educates and enables customers’ cloud adoption journey on the AWS platform. It sounds easy enough to build a team and staff it with awesome people who can build, market, and support your managed services offering. But this actually is where things get tricky. Let’s look at three pillars to building great teams in your MSP practice.

AgriWebb is a fast-growing startup based in Australia that chose Panoply to quickly set up a data stack and help them get a 360-degree view of the customer journey. Panoply’s data management platform is built on AWS and eliminates the development and coding typically associated with transforming, integrating, and managing big data. With Panoply, AgriWebb was able to revolutionize their understanding of customer behavior and their marketing funnel.

No-code manufacturing app platforms such as Tulip are a critical tool for manufacturers undergoing a digital transformation. These platforms allow frontline engineers to easily build, on their own, shop-floor applications to increase the productivity, quality, and efficiency of their operations. By leveraging AWS to deliver their manufacturing app platform, Tulip lets manufacturers of all sizes access the benefits of the cloud.

If your organization suddenly had a quarter-million dollars freed up in your engineering budget without having to sacrifice on performance, what would you do with it? For a vacation-experience customer at Capgemini, the decision was easy—reinvest in the roll-out of new applications. It took just 10 days for the customer to realize 30 percent savings on overlooked AWS assets, resulting in an overall 10 percent optimization in AWS cost.

Mainframe cold storage based on disks and tapes is typically expensive and rigid. BMC AMI Cloud Data improves the economics and flexibility by leveraging AWS storage for archival, backup, and recovery of mainframe data. BMC AMI Cloud Data enables mainframe customers to leverage modern cloud technologies and economics to reduce data recovery risks and improve application availability by providing a software-defined solution for archive, backup, and recovery directly from AWS.

The concept of a Managed Service Provider (MSP) isn’t necessarily new, but it can be difficult for organizations to grasp. What does it take to become a next-generation MSP? How does an organization begin that process on AWS? At a high level, a next-gen MSP educates customers on a proactive, ongoing basis; leads with AWS Professional Services; and advocates to customers the use of and evolution of AWS services. In this post, explore why you should care about next-gen MSPs and what’s in it for your organization.

The reality is just 10 percent of an enterprise blockchain solution is the blockchain network itself. There are many other application, data, and infrastructure components required to build a complete production-ready business solution. The Kaleido Marketplace is a catalog of supplementary ledger services, third-party applications, and AWS integration services. This makes Kaleido a full-stack cloud-based platform for enterprise blockchains that can accelerate the entire journey from POC to production.

Cognizant recognized the need to give customers in the insurance industry the ability to industrialize innovation with a platform allowing them to test ideas, innovate, fail fast, and reduce time-to-market. With this vision in mind, they set out to build InCatalyst, an insurance innovation platform. This post provides a detailed overview of InCatalyst, how it’s architected and implemented on AWS, and explore the benefits realized by InCatalyst after moving the platform to the AWS Cloud.

While market adoption of machine learning varies across industry segments, healthcare and life sciences have lots of opportunity to explore. Pharmaceutical and biotech industries, specifically, have low utilization of the large volumes of data they collect and store for regulatory purposes. Aizon is an AWS Partner that offers a number of ML solutions to enhance utilization and management of such data in a way that adheres to Good Manufacturing Practice (GMP) in the cloud.

As SaaS organizations grow and begin to extend their global reach, they must consider how their larger geographic footprint will shape and influence the architecture of their systems. Operations, deployment, agility, security, and scale all can be impacted by the move to a geographically distributed SaaS model. The more complexity that is added to a system’s operational and deployment profile, the more challenging it becomes to maintain the agility goals that are often associated SaaS delivery models.