Tag: The Next Smart

A critical first step to successfully migrate workloads from data centers to AWS is to analyze the IT assets in your data center using a comprehensive discovery process, followed by a total cost of ownership analysis to produce a directional business case for migration. Learn about the key characteristics of technologies needed to effectively serve the discovery purpose, such as modelizeIT, an advanced discovery and application architecture mapping tool that helps customers maximize discovery automation and accuracy.

When streaming data comes in from a variety of sources, organizations should have the capability to ingest this data quickly and join it with other relevant business data to derive insights and provide positive experiences to customers. Learn how you can build and run a fully managed Apache Kafka-compatible Amazon MSK to ingest streaming data, and explore how to use a Kafka connect application to persist this data to Snowflake. This enables businesses to derive near real-time insights into end users’ experiences and feedback.

Terraform and AWS CloudFormation allow you to express infrastructure resources as code and manage them programmatically. Each has its advantages, but some enterprises already have expertise in Terraform and prefer using it to manage their AWS resources. To accommodate that preference, CloudFormation allows you to use non-AWS resources to manage AWS infrastructure. Learn the steps to create a CloudFormation registry resource type for Terraform and deploy it as an AWS Service Catalog product.

We are excited to highlight 49 APN Partners that received new designations in March for our global AWS Competency, AWS Managed Service Provider (MSP), and AWS Service Delivery programs. These designations span workload, solution, and industry, and help AWS customers identify top APN Partners that can deliver on core business objectives. APN Partners are focused on your success, helping customers take full advantage of the business benefits AWS has to offer.

In spite of the rich set of machine learning tools AWS provides, coordinating and monitoring workflows across an ML pipeline remains a complex task. Control-M by BMC Software that simplifies complex application, data, and file transfer workflows, whether on-premises, on the AWS Cloud, or across a hybrid cloud model. Walk through the architecture of a predictive maintenance system we developed to simplify the complex orchestration steps in a machine learning pipeline used to reduce downtime and costs for a trucking company.

In order to deliver serverless applications, customers often turn to DevOps principles to efficiently build, deploy, operate, and iterate on features and changes. CI/CD is one of the major components of DevOps that helps deliver code faster and more reliably to production. GitLab’s continuous integration offering provides a rich set of features for automating how new code is incorporated into your software and how new versions of your software get built and deployed.

Seagate asked Mactores Cognition to evaluate and deliver an alternative data platform to process petabytes of data with consistent performance. It needed to lower query processing time and total cost of ownership, and provide the scalability required to support about 2,000 daily users. Learn about the the three migration options Mactores tested and the architecture of the solution Seagate selected. This effort improved the overall efficiency of Seagate’s Amazon EMR cluster and business operations.

AWS has resources and tools to make remote work easier for customers during this unprecedented time. AWS solutions include remote desktops and applications, tools for communication and collaboration, and contact center solutions. AWS contact center solutions and remote desktop and application services can be deployed quickly and scale globally with the help of APN Partners. Learn about the trusted partners in our Amazon Connect Service Delivery Program and AWS End User Computing (EUC) Competency Program.

Financial institutions possess and process data that are very sensitive and have immense business value. In recent years, regulations like open banking and data residency law have forced organizations to be even more adaptive to frequent challenges to systems storing and processing the data. Explore how Capgemini developed an application to address this customer challenge and learn how the approach helped worldwide credit card provider comply with PCI DSS security standards.

Though containers vastly simplify the distribution of applications, Kubernetes ecosystems are so powerful that they, in turn, can become complex. This is particularly true in hybrid cloud environments. D2iQ Kommander simplifies Kubernetes container management, including governance, workload configuration, and life cycles. You can set up Kommander on Amazon EKS to manage your Kubernetes clusters across a broad range of cloud and on-premises environments.