Tag: AWS Partner Guest Post

Precisely’s geo addressing solution is coupled with data enrichment to enable organizations to accelerate the use of address data and quickly associate rich, relevant contextual information to power faster and more confident decision-making. The Precisely Geo Addressing SDK allows organizations to develop and deploy geocoding desktop, mobile, or web applications capable of delivering location information for over 250 countries and territories.

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.

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–Metafinity–its foray into the metaverse for industrialized solutions and its capabilities. Metafinity creates custom 3D avatars and integrates with HCLTech’s OBOL Tokenization framework among others.

Amazon EKS provides a managed scaled control plane which eliminates the undifferentiated heavy lifting for the enterprise platform team. Learn how using the Lightrun developer observability platform and Amazon EKS together, organizations can maximize their mean time to resolution of defects, enhance developer productivity, and reduce overall logging costs. Lightrun and Amazon EKS enable full-cycle developer observability.

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.

Gauging market demand for the apparel retail industry is challenging. The success of SKUs sold depends on customer preference (fitting, feel, regional acceptance) and latest trends, which can change frequently. Learn how Ganit has successfully deployed inventory management systems using intelligent demand forecasting at the core of its solutions. This system has helped many clients optimize their inventory, leading to efficient working capital deployment and improvement in topline and bottom-line numbers.