Category: AWS Marketplace

Learn how Rocketlane built its customer onboarding SaaS platform on AWS using the platform’s broad tools and services that helped the team innovate quickly, get support from programs such as AWS SaaS Factory, and go-to-market to reach customers through AWS Marketplace and AWS Activate for startups. In this Q&A with Deepak Balu, co-founder and CTO at Rocketlane, you’ll learn insights from Rocketlane’s journey that can help other organizations planning to adopt SaaS delivery model.

Datadog provides a unified view into the health and performance of your applications and infrastructure across both on-premises and AWS environments. Learn how to accelerate your migration by using Datadog’s observability capabilities to easily track every stage of migration to AWS. We’ll provide an overview of Datadog’s ability to optimize resources for migration, monitor availability of applications, and measure key business metrics around service-level objectives.

If your organization requires a faster time to market for Internet of Things (IoT) applications, AWS Partners have flexible, pre-built solutions to help reduce risk while building the foundational elements that are required to deploy an IoT solution at scale. Businesses interested in deploying an IoT solution should carefully consider which AWS Partner will best fit their organization’s needs, keeping in mind a few key elements, including capabilities, tenancy, security and compliance, migration, and pricing.

Feature engineering is a critical process in which data, produced by data engineers, are consumed and transformed by data scientists to train models and improve their performance. Learn how to accelerate data processing tasks and improve collaboration between data science and data engineering teams by applying MLOps best practices from Data Reply and leveraging tools from AWS. Data Reply is focused on helping clients deliver business value and differentiation through advanced analytics and AI/ML on AWS.

Esri‘s GIS solutions create, manage, analyze, and map various types of geospatial data. Its flagship GIS mapping software, ArcGIS, is a powerful mapping and spatial analytics technology. Learn about the deployment of ArcGIS Enterprise on Amazon EKS, a new Kubernetes architecture that further enhances the product’s scalability and resilience. It also improves manageability by reducing technical complexity, leveraging a fully cloud-native architecture that can scale to the rapidly growing demand for GIS services.

For pharma leaders, medtech, and health tech innovators alike, the vision of connected health hinges on organizations’ ability to stay in tune with healthcare players’ preferences, perceptions, and expectations. Doing so helps companies create seamless customer pathways and proactively model, predict, and respond to the many outcomes of a changing healthcare landscape. Learn how ZS collaborated with AWS to build an intelligent life sciences platform called ZAIDYN.

Many companies use online databases for talent sourcing, while others prefer more traditional means such as referrals or networking. Quantiphi’s cloud-native data platform facilitates the convergence of talent and recruiter performance data to provide crucial insights into the talent acquisition process. Explore the critical aspects of Quantiphi’s serverless, fully-managed ETL pipeline along with the benefits of the centralized lake house solution built on AWS in helping talent acquisition companies.

Many companies report the biggest challenge when adopting Kubernetes is a lack of in-house skills. Infrastructure as code (IaC) blueprints can mitigate these gaps by accelerating hands-on experience, providing a reproducible foundation to configure, provision, and destroy clusters easily. Learn how Sysdig launched an add-on for Amazon EKS as well as Sysdig EKS Blueprints to enable organizations to confidently deploy instrumented Kubernetes clusters using Terraform.

Getting SAP data into AWS in real-time enables insights for better business decisions, realizes competitive advantages, enhances sharing and collaboration, and improves operational performance. It also provides the opportunity to integrate data from SAP and non-SAP sources. Learn how to extract and integrate SAP data on AWS for use cases like analytics, reporting, AI/ML, and IoT in real-time, using the BryteFlow SAP Data Lake Builder on AWS.

The AWS Partner community is energized about the potential of generative AI, and we recognize there are unique considerations for bringing these applications into production for commercial use cases. Ruba Borno, VP, WW Channels & Alliances at AWS, shares why AWS Partners are an integral part in ensuring customers realize the full value of generative AI offerings. Working together, AWS and partners will be guiding the development of business innovations and solutions for customers of all sizes and industries.