Category: Software

By Lenley Hensarling, Chief Product Officer – Aerospike By Akshay Patel, Senior Practice Lead, SaaS Partners – AWS SaaS Factory By Anthony McClure, Senior Partner Solutions Architect – AWS SaaS Factory By Bill Tarr, Principal Solutions Architect – AWS SaaS Factory Aerospike Real-time, high-performance workloads demand low-latency databases that can scale to meet the most […]

We’re excited to introduce the Business Outcomes Xcelerator (BOX) Program, designed to help partners develop and deliver solutions that meet the demands of Line of Business (LOB) buyers and accelerate revenue growth. This innovative program equips technology and services partners with the necessary tools, resources, and financial incentives to build, go-to-market, and sell outcome-driven solutions through AWS Marketplace, enabling them to deliver differentiated value to customers across various industries and use cases.

Amazon outsourced management of its out-of-warranty device repairs to Genpact to meet regulatory requirements and customer expectations. Learn how Genpact leveraged its ContactUs.Ai framework and Amazon Connect to create an omnichannel solution allowing self-service and live support. This extends device lifetimes, increases customer satisfaction, and aligns with Amazon’s ESG priorities around Right to Repair regulations in Europe.

In this exclusive interview for our blog, we sat down with Joaquin Lippincott, the CEO of Metal Toad, to delve into the innovative Securitoad Machine Learning Security SaaS solution. Joaquin generously shared his expertise on how they strategically built their latest offering on the AWS Marketplace. His insights offer invaluable lessons for software providers aiming to embrace this modern delivery mode.

Snowflake By Daniel Wirjo, Solutions Architect – AWS By Benny Chun, Solutions Architect – AWS By Bosco Albuquerque, Sr. Partner Solutions Architect – AWS By Hans Siebrand, Cloud Data Architect – Snowflake By Matt Marzillo, Sr. Partner Engineer – Snowflake With recent advancements, building a data platform to provide a data foundation for generative AI […]

HCLTech’s Intelligent Ingestion solution provides automated low-code to no-code approach, simplifying ETL build efforts for both batch and real-time data ingestion workloads. It is built using rich set of AWS services like AWS Step Functions, AWS Glue, AWS Glue DataBrew, AWS Lambda, AWS Lake Formation, Amazon Kinesis, Amazon S3, Amazon Simple Notification Service (SNS), etc., among other services to achieve seamless data integration, transformation and quality assurance. This solution entirely automates ETL ingestion upon a single click (event trigger) and provides reusable ETL workflows for rapid ETL development. It also brings quick actionable insights and decision making into business.

Learn how ServiceNow and AWS help businesses manage their AWS environments, thereby helping them achieve a successful digital transformation. ServiceNow offer tools for cost management, automated provisioning, and enhanced governance, which standardizes infrastructure management for easy navigation in the cloud.

HCLSoftware’s automation product, HCL Workload Automation (HWA), now integrates with AWS Step Functions. This integration offers a comprehensive automation solution, streamlining complex workflows across cloud and on-premises environments. It enables organizations to automate more use cases with increased efficiency, scalability, and reliability, utilizing the robust AWS ecosystem of services. This strategic partnership empowers customers to transform their IT landscape through centralized, cloud-native automation.

Arcanum AI migrated its generative AI workloads from OpenAI to AWS using a two-phase model evaluation process. Open-source LLMs were tested out-of-the-box and with customized prompts, scored by experts, and evaluated against existing use cases. Amazon Bedrock provided a private network and access control for handling sensitive client data. AWS’s AI services enabled Arcanum to deploy top-performing LLMs securely in clients’ VPCs, outperforming OpenAI models while meeting security needs.

The 3-2-1 backup strategy ensures data protection by maintaining multiple copies across different storage media, with at least one copy offsite. As companies adopt SaaS applications, they need strategies to backup critical SaaS data. Own Company (formerly OwnBackup) enables SaaS data backups to Amazon S3, providing data autonomy, meeting recovery objectives, and allowing data analysis.