Category: Learning Levels

Kubernetes provides several autoscaling features that enable organizations to dynamically adjust their application resources in response to varying demands, but optimizing Kubernetes costs can be challenging. Learn how optimization tools like Karpenter and StormForge Optimize Live help organizations automate resource allocation, optimize performance, and reduce costs, thus making the process of cost optimization more accessible and efficient for anyone.

Gremlin is an AWS Partner that gives users a solution for safely and securely improving the reliability of their technology stack. Teams can use Gremlin to find hidden reliability risks, standardize reliability testing and measurement, and simulate real-world outages with an ever-growing library of tests. Learn how to test and measure the reliability of AWS systems using Gremlin Reliability Management and Amazon CloudWatch.

Many public health agencies and laboratories still fax their test results and frequently change the format of those documents. Quantiphi’s Jim Keller speaks with AWS about the benefits of QDox, an intelligent document processing solution that leverages AI to recognize the document type, extract information, and deliver the output in the desired format. Quantiphi is an AWS Premier Tier Services Partner that’s a category-defining analytics, machine learning, and cloud modernization company.

Optimizing environments for cost, however, is often an activity that happens only in response to unexpected growth of charges in the bill. nOps nSwitch makes this process easy, allowing both engineering and finance teams to explore, identify, and automate optimization opportunities. Learn how nOps’ integration with Amazon EventBridge helps customers to pause, reconfigure, and right-size a broad variety of popular AWS services so they can tune for the most optimal cost while maintaining reliability and security.

To sustain innovation and drive business value, organizations are realizing the importance of decentralization of data products using a data mesh architectural design approach. Experts from AWS and IBM explain how to set the right balance of business ownership using data mesh to modernize data platform and accelerate innovation. We’ll also describe referenceable techniques to build data mesh solutions using AWS native services including Amazon DataZone, AWS Lake Formation, and AWS Glue.

Infosys has crafted an automated self-service landing zone solution for AWS which employs AWS Control Tower to generate the customer’s organization unit structure and set up individual accounts. It uses the infrastructure as code tools from Terraform for infrastructure provisioning and Ansible for service configuration. The landing zone provides a pre-configured and secure environment, functioning as a springboard for organizations to manage their AWS resources effectively.

HCLTech views the metaverse as an addition to existing mobile channels poised to disrupt the market. Replacing workstations with head-mounted devices will catalyze the evolution of two-dimensional applications to three-dimensional interactives. Learn about HCLTech’s flagship offering–HCLTech Metaverse solution–its foray into the metaverse for industrialized solutions and its capabilities. HCLTech Metaverse solution creates custom 3D avatars and integrates with HCLTech’s OBOL Tokenization framework among others.

Customers are increasingly purchasing software and services in AWS Marketplace to take advantage of added efficiencies, cost savings, and flexible payment and terms. As we continue to transform the AWS Partner experience, we’re focused on scaling AWS Marketplace to help you drive greater customer value. In this post, we share key operational and self-service enhancements we’ve made to help you scale your offerings in AWS Marketplace, while lowering your operating costs and accelerating time-to-close.

Maintaining multiple machine learning models across different teams can be challenging. Having a centralized platform to monitor and manage them can significantly reduce operational overhead and improve efficiency. Learn how the models trained and deployed in Amazon SageMaker can be monitored by DataRobot in a highly scalable fashion. In this way, customers can monitor both DataRobot-originated models and SageMaker-originated models under a single pane of glass.

To help break down barriers and develop your cloud skills, Amazon Web Services (AWS) has created several methods to guide you on the correct learning journey, including learning plans, courses with different training styles, and a curated list of our most popular courses amongst AWS Partners. In this post, explore what training resonates with the thousands of partners already learning with AWS Partner Training and Certification.