AWS Partner Network (APN) Blog

Category: Learning Levels

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HCL Workload Automation expands AWS integration with AWS Step Functions

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.

How AWS Partners are Driving Innovation and Efficiency with Amazon Bedrock and Amazon Q

In April, Amazon Web Services (AWS) unveiled a suite of groundbreaking features for Amazon Bedrock and Amazon Q, ushering in a new era of generative AI capabilities. Learn how AWS Partners are leveraging the latest Amazon Bedrock and Amazon Q features to transform how they build, scale, and deploy intelligent applications—unlocking unprecedented opportunities for innovation and efficiency.

Say Hello

Say Hello to 153 New AWS Competency, Service Delivery, Service Ready, and MSP Partners Added in April

By Rory Wallis, APN Program Experience Manager – AWS Partner Network The AWS Partner Network (APN) is a global community that leverages Amazon Web Services (AWS) technologies, programs, expertise, and tools to build solutions and provide services for customers. The APN has more than 130,000 partners from over 200 countries, with 70% headquartered outside of […]

Meet Our New AWS Ambassadors from Q1 2024 and Explore Latest Activities

By Matthijs ten Seldam, Global Program Manager – AWS Ambassador Program The AWS Ambassador Program is a vibrant worldwide community of AWS experts, known as AWS Ambassadors, from AWS Partner Network (APN) Services and Software Partners. AWS Ambassadors are recognized as influential AWS professionals in supporting and driving their organization’s AWS proficiency and sharing their […]

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How Anchore on AWS can help customers achieve FedRAMP Compliance

Cisco Security Cloud uses Anchore to achieve FedRAMP compliance for its cloud solutions. Anchore integrates with Cisco’s AWS CodePipeline, Amazon ECR registry, and Amazon EKS to scan containers throughout the pipeline, enforcing vulnerability policies. Its integration allowed Cisco to expand Anchore to Amazon ECS and generate software bill of materials for the cybersecurity executive order. The comprehensive Anchore solution on AWS strengthened Cisco’s regulated security posture.

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Strengthen Security Posture with AI-Enabled Insights Using Amazon Security Lake, Splunk, and Recorded Future

Organizations can enhance resilience by implementing Amazon Security Lake for centralized security data storage, Splunk for real-time data analysis, and Recorded Future for advanced threat intelligence. This unified approach tackles data silos, complex analysis, slow threat detection, compliance challenges, and inefficient resource utilization. Security Lake aggregates data sources, Splunk analyzes it with AI/ML for swift threat identification, and Recorded Future provides external intelligence context.

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How Arcanum AI Migrated Models from OpenAI to AWS Using Amazon Bedrock and Amazon SageMaker JumpStart

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.

Tenant Switching and Custom Permissions in a Multi-Tenant Serverless Application

This post presents a cost-effective, serverless multi-tenant SaaS architecture utilizing AWS managed services. Users can belong to multiple tenants via Amazon Cognito user groups, and the solution enables seamless tenant switching and allows tenants to define custom roles with Amazon DynamoDB transactions. By leveraging AWS services, the architecture provides security, isolation, custom permissions, and flexibility to scale without operational overhead.

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How Exxeta Improves IT Planning with Use-Case Driven Architecture on AWS

When designing IT solutions, a one-size-fits-all approach misses opportunities for performance and cost savings. Exxeta proposes a use-case driven architecture approach that fits IT components to specific business processes. A real-world example shows how this approach helped an automotive company build a high-performance, scalable analytics solution at a lower cost by utilizing fit-for-purpose technologies like Apache HBase and Amazon S3.

Protect Your SaaS Data and Leverage it to Gain Insights Using Own and AWS

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.