Category: Intermediate (200)

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.

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.

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.

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.

Organizations face increasing demands for transparency around environmental, social, and governance (ESG) matters. PwC’s Unified Sustainability Hub helps access and manage ESG data, providing automated data ingestion, a centralized view of sustainability performance, intelligent data extraction, carbon accounting, reporting/analytics, forecasting capabilities, and a generative AI assistant. It accelerates sustainability transitions by integrating stakeholders, processes, and standards.

As organizations migrate applications to the cloud, they need tools to assess application portfolios for cloud readiness. CAST Highlight provides automated analysis of custom applications, identifying issues like outdated code, cloud migration blockers, and opportunities for cloud-native services. By integrating with AWS Migration Hub Journeys, CAST offers a template to orchestrate analysis of large portfolios across teams to accelerate cloud migration and modernization initiatives.

Connecting IoT devices securely to the cloud can be complex, but AWS IoT ExpressLink simplifies this by providing connectivity modules with built-in security from AWS Partners. Cardinal Peak used these modules to accelerate IoT product prototyping, avoiding hardware redesigns, simplifying firmware, using pre-installed certificates, streamlining manufacturing, and enabling efficient cloud onboarding. Overall, AWS IoT ExpressLink helped Cardinal Peak save over 6 months of engineering time.

NextBillion.ai provides mapping solutions for enterprises, aiming to deliver precise estimated time of arrival (ETA). It developed ENZYME, a system leveraging AWS services like Amazon SageMaker to evaluate map quality and improve ETA accuracy through machine learning. By feeding industry data into custom models, ENZYME reduces the mean absolute percentage error between estimated and actual arrival times by 10-20% compared to regular maps.

nOps Compute Copilot extends the capabilities of the open-source Karpenter Kubernetes cluster autoscaler, adding awareness of your AWS compute commitments like Reserved Instances and Savings Plans. It also analyzes Amazon EC2 Spot pricing data and termination risk to intelligently select the most cost-effective and stable Spot Instances for workloads. nOps automatically manages your Karpenter configurations, updating NodePools based on its cost optimization analysis and recommendations.