Category: AWS Step Functions

Explore how IAV lumits, the first automated AWS cloud-based solution specifically for C-ITS message compliance, accelerates verification processes. Supporting standardized specifications from SAE, ISO, IEEE, and ETSI, IAV lumits ensures interoperability and safety in connected vehicles, The blog post describes how you can accelerate C-ITS deployment faster and make it more secure.

Learn how AWS and ThinkCol collaborate to build responsible AI solutions using guardrails and safeguards. With ThinkCol’s Guardrail Solution, businesses can now harness generative AI’s power while mitigating risks of toxicity, hallucination, and misuse. Additionally, organizations have the ability to maintain brand integrity and customer trust through a framework that includes pre-checking queries, generating accurate answers, and post-checking for relevance.

HCLTech’s Intelligent Ingestion solution provides automated low-code to no-code approach, simplifying ETL build efforts for both batch and real-time data ingestion workloads. It is built using rich set of AWS services like AWS Step Functions, AWS Glue, AWS Glue DataBrew, AWS Lambda, AWS Lake Formation, Amazon Kinesis, Amazon S3, Amazon Simple Notification Service (SNS), etc., among other services to achieve seamless data integration, transformation and quality assurance. This solution entirely automates ETL ingestion upon a single click (event trigger) and provides reusable ETL workflows for rapid ETL development. It also brings quick actionable insights and decision making into business.

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.

Business intelligence (BI) teams aim to automate Amazon QuickSight asset deployment across environments. CyberCX developed a solution using AWS Step Functions to orchestrate exporting QuickSight analyses from one environment and importing them to another, simplifying migration. This reusable module integrates with CyberCX’s broader serverless data platform but can standalone. The entire solution is designed with security in mind and follows the principles of least privilege access.

CyberCX built an AWS serverless data lake and data masking solution to enable using production data securely in non-production environments. The modular, AWS-native solution combines AWS services to mask sensitive data in near real-time while retaining data utility. This allows thorough testing and confidence before deployment to production, improving data security and accelerating time to market.

Geospatial ETL pipelines prepare data for business analysis and insights, enabling leaders to make informed decisions. Learn how to migrate a geospatial pipeline to AWS Step Functions and AWS Batch to simplify pipeline management while improving performance and costs. Migrating to AWS Batch and AWS Step Functions has transformed the way WSP Digital handles data processing and orchestration, enabling streamlined and automated workflows.

Advanced Care Cloud is a SaaS solution running on AWS that provides care organizations of different sizes with the power to effectively manage their entire business from anywhere, at any time. Learn how Advanced used AWS Step Functions to orchestrate the solution’s onboarding process and data migration activities. We’ll also discuss the benefits Advanced achieved by leveraging Step Functions rather than building custom orchestration capability.

Organizations have a requirement to implement data governance due to the presence of personally identifiable information. The process of sharing and operationalizing data movement becomes an involved task, as it must encompass data governance, data security, and include audit capabilities. Learn about a modern process LTIMindtree has introduced for data transfer using AWS Step Functions and for sharing transformed data to another account regardless of regional location.

Multi-region architectures improve latency for applications with global user bases and optimize RTO across the broadest set of potential failure events. However, creating and maintaining these architectures can add significant cost and complexity. Learn how to build and deploy a multi-region serverless application while minimizing cost and complexity using AWS Step Functions and Fauna, an AWS Partner and distributed document-relational database delivered as a cloud API.