AWS Partner Network (APN) Blog

AWS Backup simplifies policy-based data protection at scale, and observability offers insights into the backup process for monitoring, issue detection, troubleshooting, and optimization. This ensures backup dependability, efficiency, and security. CloudQuery enables managing and visualizing AWS Backup across accounts, including backup health, configuration, and protected resources to facilitate building a robust compliance posture.

We are excited to highlight 165 AWS Partners that received new or renewed specializations in January for our global AWS Competency, AWS Managed Service Provider (MSP), AWS Service Delivery, and AWS Service Ready programs. These designations span workload, solution, and industry, and help AWS customers identify top AWS Partners that can deliver on core business objectives. AWS Partners are focused on your success, helping customers take full advantage of the business benefits AWS has to offer.

MemVerge Memory Machine Cloud (MMCloud) enables running bioinformatics pipelines cost-effectively on Amazon EC2 Spot instances. It seamlessly integrates with Nextflow pipelines through the nf-float plugin and simplifies migrating on-premises pipelines to the AWS cloud. Learn how Columbia University and MDI Biological Laboratory leveraged MMCloud to run intensive genomic analyses at 50-80% lower cost by utilizing spot instances.

Sustainability is a strategic priority for organizations in the global transition to net-zero emissions. Many AWS Partners have chosen to establish a Cloud Center of Excellence (CCoE) to achieve their decarbonization goals. Learn how to incorporate sustainability into your organization with a CCoE and how AWS services can help. With these efforts in place, your business can consider joining the 460 signatories who have signed The Climate Pledge and are working towards carbon neutrality by 2040.

Social media is an integral part of everyday life as billions use it to connect, share, and find entertainment. Hootsuite provides businesses with a secure, scalable platform to manage social media across channels, analyze performance, and deliver customer care. By leveraging AWS services, Hootsuite offers robust tools to help brands economically manage their digital footprint, better understand their audience, and optimize their social media investments.

Data observability enables monitoring, understanding, and troubleshooting data pipelines to ensure smooth and efficient workflows. By tracking metrics like lineage, volume, and schema, data engineers can quickly identify issues, optimize performance, and make informed decisions. TCS outlines an approach using AWS services for event ingestion, aggregation, and visualization to address observability challenges.

ADP provides cloud-based human capital management solutions to over 1 million clients in 140 countries. Using an active-active multi-region architecture on AWS, ADP built a highly available and resilient Voice of Employee application to collect employee feedback throughout the workforce lifecycle. The multi-region deployment meets availability goals and leverages AWS services to enable rapid disaster recovery.

Symmetry Systems DataGuard is a data security posture management solution to enhance protection of sensitive data in AWS environments. It seamlessly integrates with AWS services to discover where sensitive data resides, map permissions, and identify risks—all without extracting data. Overall, the combination of AWS security services and Symmetry Systems DataGuard enables organizations to securely unlock the full potential of the cloud.

The evolution of embedded and invisible banking has led to complex integrations between financial organizations and third-party platforms. To simplify identity management across business partners, organizations are investigating identity-as-a-service solutions using blockchain. Capgemini can help implement embedded and invisible banking by leveraging Amazon Managed Blockchain to manage decentralized identities. This provides a single immutable identity for users that scales across sub-units and partners.

Companies often struggle to understand customer sentiment in call center data, posing barriers to responding to emotions in real-time. SuccessKPI uses natural language understanding and machine learning on a large dataset to enable sentiment prediction. This helps avoid bias of human reviewers and attain objective results when analyzing customer feedback. SuccessKPI offers capabilities like sentiment by channel, time, quarter, and entity to transform customer experiences.