Tag: Amazon SQS
When a DXC Technology customer wanted a complete view of requests traveling through an application so they could compare trace sets with different conditions, DXC deployed distributed tracing using AWS X-Ray. This helped monitor and debug distributed applications within the workflow to aid in swift identification of performance issues or errors. Explore the solution’s reference architecture and follow a step-by-step how to enable AWS X-Ray for different AWS products.
A business transformation is incomplete without the automation of processes at both the IT and business application levels, which is why organizations are relying on workload automation as a unifying force. Learn how HCL Workload Automation can automate tasks related to batch processing, job scheduling, unattended processes, and event-driven automation. The solution leverages Amazon EKS and works with SAP environments to help organizations accelerate their digital transformation journey.
In computer vision applications, the transmission of video data to the cloud for analysis can result in added delays due to various contributing factors such as queuing, propagation, and network latency. Learn how the Nordcloud team, in collaboration with AWS, has designed a “Computer Vision at the Edge” solution based on AWS Panorama. It caters to organizations seeking low-latency decision making without the burden of managing complex technology.
To make the best use of an Amazon SQS and AWS Lambda integration using event source mapping, it’s important to understand how the integration works. The SQS-Lambda integration is a powerful feature, and for small to medium-sized queues you don’t have to think much about the integration as it works out of the box. Serverless Guru is an AWS Advanced Tier Services Partner that helps companies build, migrate, and train teams on AWS serverless development.
A tenant management service manages the tenant’s provisioning and lifecycle, and tenant management is usually one of the first services SaaS providers build for their SaaS control plane, as the tenant onboarding experience must be simple and fast. Learn how CyberArk built a serverless, simple, and scalable tenant management service. Its primary responsibility is adding new tenants and provisioning multiple CyberArk products to the tenants according to the customer’s subscription.
The use of commercial databases like Oracle DB and middleware like Oracle WebLogic can become blockers in a company’s migration journey to AWS. Customers find the licensing and maintenance of commercial applications expensive, and are often locked in between license renewals of Oracle DB. Learn how Hexaware leverages its well-defined migration methodology and automated cloud migration and management platform Amaze for replatforming of legacy applications.
Increased competition, labor shortages, and changing customer expectations have forced organizations to rethink their document-based processes. Learn how Hyperscience addresses the limitations of legacy automation solutions to help insurance agencies optimize document processing. Explore how incorporating machine learning into automation solutions leads to greater end-to-end automation, more engaging work, and better business outcomes.
Gogo is a global provider of broadband connectivity products and services for business aviation. It needed a qualified engineering team to undertake a complete transition of its solutions to the cloud, build a unified data platform, and streamline the best speed of the inflight internet. Learn how N-iX developed the data platform on AWS that aggregates data from over 20 different sources using Apache Spark on Amazon EMR.
Traditional content process workflows are expensive and complex to enhance with artificial intelligence and machine learning technologies. Kablamo’s Digital Asset Management (DAM) solution on AWS leverages leading AI/ML services to enable customers to secure, index, cold-store, and access digital assets across the enterprise. Learn how Kablamo DAM is right-sized for all customer industries and integrates into existing workflows with ease.
Many organizations derive business understanding and new insights through content analytics and intelligence. Wipro’s email automation framework leverages machine learning services from AWS that enable organizations to extract data from emails and provide automated instructions which enhance accuracy and improve staff productivity. This solution supports data extraction from the mailbox (email body and attachments) and validates and prioritizes based on the urgency of emails.