Tag: AWS Partner Solutions Architects (SA)

Leveraging AWS Lambda response streaming functionality enables progressive data delivery from large datasets, enhancing web application performance. This post compares a traditional API implementation to a Lambda streaming API, demonstrating reduced time-to-first-byte latency and quicker, more dynamic client-side rendering. By incrementally sending data, response streaming eliminates lag from waiting on entire dataset transfers, vastly improving user experience for data-intensive applications.

The move to cloud-based contact centers (CCaaS) enables innovations like remote agents, sentiment analysis, and AI to improve customer experience. Operata offers a CX monitoring platform for Amazon Connect that provides observability into these connections, helping teams manage shared responsibility, analyze performance, anticipate issues, and optimize resources. Investing in visibility through tools like Operata sets CCaaS customers up for operational success.

Noventiq developed uDMS, a smart document management system hosted on AWS serverless architecture that removes the need to manage servers while ensuring scalability, cost-efficiency, and global accessibility. uDMS offers easy document tracking, metadata templating, workflow notifications, version control, and integrates well with other systems. It demonstrates how a serverless architecture can enable rapid deployment and modernization of legacy document management systems.

As companies grow, data can become fragmented across business units, hindering insights. PwC built an enterprise data solution on AWS to centralize data and streamline ingestion from diverse sources into a consolidated data lake using native AWS services and configurations. This reduces bespoke data collection, freeing up time for analysis and innovation with consistent, up-to-date data sets. The expandable solution accelerates stand up and bridges silos to unlock operational insights across the business.

Achieving FedRAMP authorization is critical for cloud service providers serving government agencies. Orca Security’s cloud-native platform on AWS provides comprehensive coverage to help companies navigate the complexities of FedRAMP. By determining impact levels, deploying in FedRAMP-compliant AWS regions, leveraging approved services, implementing security controls, preparing for authorization, and enabling continuous monitoring, Orca and AWS streamline the journey to FedRAMP compliance.

Environmental, social, and governance (ESG) initiatives are gaining traction, but companies often struggle to measure progress. The Science-Based Targets initiative (SBTi) offers clearly-defined greenhouse gas emission reduction targets aligned with global climate goals. Choosing the right tools, like the Adonis carbon management platform from eCloudvalley, is critical for data integration, effective tracking, and sustainability strategy optimization on this journey.

Generating high-quality synthetic data protects privacy and augments scarce real-world data for training machine learning models. This post shows how to integrate the Gretel synthetic data platform with Amazon SageMaker Pipelines for a full ML workflow. Gretel’s integration with SageMaker Pipelines in a hybrid or fully managed cloud environment enables responsible and robust adoption of AI while optimizing model accuracy. With Gretel, data scientists can overcome data scarcity without compromising individuals’ privacy.

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.

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.

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.