Tag: AWS Partner Solutions Architects (SA)

As systems generate increasing data, making sense of it is critical. Application logs are unique and not standardized. Leidos addresses logging issues using the Open Cybersecurity Schema Framework (OCSF) and Amazon Security Lake via the Leidos OCSF Integration Suite (LOIS), which bridges applications to generate OCSF-compliant messages and ingest them into Amazon Security Lake for analysis and visualization.

Dive into SparkLearn’s path towards establishing a SaaS business with insights from Chad Udell, Co-CEO at SparkLearn. Notable points of discussion with the AWS SaaS Factory team revolved around the significance of adopting a product-led growth strategy and harnessing cloud services to channel resources towards enhancing the end-user experience rather than infrastructure. AWS SaaS Factory helps organizations looking to build new products or optimize existing SaaS solutions on AWS.

Many organizations are migrating mainframe workloads to AWS to modernize applications and infrastructure. Mainframe batch jobs are business-critical, so AWS integrated its Mainframe Modernization service with BMC’s Control-M workflow orchestrator. Control-M automates and monitors batch jobs on-premises and in the cloud. This integration provides end-to-end visibility, prevents service degradation, and avoids missed SLAs.

Industry 4.0 increases product complexity and customer expectations, challenging industrial companies. Tech Mahindra’s Engineering on Cloud – PLM solution leverages AWS to help manufacturers centralize product data management and accelerate innovation. This cloud-native solution optimizes costs and provides enhanced security, scalability, and availability with faster time-to-market and streamlined collaboration.

Intelligent document processing (IDP) automates data extraction from diverse document formats, accelerating information retrieval. Manually labeling is expensive and difficult, and Cognizant’s IDP solution on AWS automates document labeling at scale to overcome this challenge. Its customized user interface in Amazon SageMaker Ground Truth lets subject matter experts efficiently label documents.

Discover how a collaboration with AWS SaaS Factory revolutionized nClouds’ approach to SaaS and empowered its team to amplify its capabilities. Leveraging SaaS Factory’s technical knowledge equipped nClouds with the assurance and actionable insights needed to conquer the intricacies of the SaaS cloud landscape. For customers like OperationsRx, aligning with a SaaS Competency Partner like nClouds meant tapping into a reservoir of expertise, strengthened by years of experience from industry-leading experts.

As online commerce grows, so do opportunities for fraud. Businesses lose billions annually to bots and attacks like scraping and payment fraud, making effective and scalable protection essential. DataDome provides accurate, real-time detection and mitigation without compromising user experience. By deploying globally on AWS and optimizing performance, DataDome achieves sub-millisecond response times to inspect every request while minimizing false positives.

Skuid by Nintex is a low-code platform for rapidly building enterprise web apps. This post demonstrates using Skuid to connect to Amazon S3, listing bucket contents in a table, and enabling upload, download, and delete actions. With just a few configuration steps and zero coding, Skuid integrates data from services like S3 into polished, branded experiences, and streamlines building cloud-native apps without compromising power or flexibility.

As networks become more complex, telcos need an integrated platform to manage monitoring, diagnostics, and automation. Prodapt worked with AWS to build a cloud-native, open-source network assurance platform called NeSA. It provides a single pane of glass for end-to-end visibility, faster troubleshooting, and closed-loop automation. This post details Prodapt’s experience implementing NeSA for a Tier 1 telco, reducing incident resolution time and costs.

Large language models like Amazon Bedrock can generate MongoDB queries from natural language questions, transforming how users access NoSQL databases. By leveraging AI and language models, this solution allows business users to query MongoDB data through conversational English instead of code. It connects to MongoDB with PyMongo, generates queries with LangChain and Bedrock, retrieves and formats results into natural language answers.