Category: Technical How-to

BMC’s HelixGPT, combined with Amazon Web Services, can transform IT operations by reducing Mean Time To Repair (MTTR) and enhancing decision-making processes.

By Valeriy Leykin, Senior Product Manager – Dynatrace By Erick Leon, Senior Manager Global Tech Alliances – Dynatrace By Shashiraj Jeripotula, Principal Partner Solutions Architect – AWS Dynatrace In complex cloud environments, security findings are often siloed across build-time and runtime tooling, and spread across various environments. Therefore, obtaining a holistic view of your security […]

Learn how Temporal’s workflow engine, powers resilient applications, ensuring consistency and automatic recovery during system failures. In this post we will examine distributed system challenges and demonstrate how Temporal’s solution, on AWS, enables durable execution across organizations.

Life sciences manufacturers face challenges in maintaining consistent production operations while meeting strict regulatory requirements. Many customers need to run their Manufacturing Execution Systems (MES) on-premises, but still want to benefit operationally from using managed cloud services and maintaining a consistent software stack across their on-premise and cloud environments. AWS Outposts is a family of fully managed solutions delivering AWS infrastructure and AWS services into virtually any on- premises, colocation, or edge location for a consistent hybrid experience.

Learn how to build a Generative AI assistant to simplify complex data analysis with Splunk, by converting conversational requests into optimized Splunk SPL queries for AWS security and operational logs. Built on Amazon Bedrock agents with integrated knowledge bases and action groups, this solution automatically executes queries and delivers actionable insights, democratizing access to powerful data analytics capabilities for security teams.

Based on Knowit’s ADAM guide, this blog post provides practical insights and strategies for achieving GDPR compliance in AWS environments, including essential frameworks for managing compliance obligations and leveraging AWS features and services. The post outlines a structured seven-step approach to systematically assess and document GDPR compliance while emphasizing the importance of understanding data controller and processor roles, encryption requirements, and cross-border data transfer considerations.

The Agent AI Ally solution revolutionizes call center operations by harnessing generative AI to provide agents with real-time, contextual support and product information during customer interactions. Powered by Anthropic’s Claude 3.5 Sonnet model through Amazon Bedrock, the solution delivers instant insights and suggestions while analyzing customer responses in real-time. This comprehensive platform integrates key AWS services including Amazon Connect, Transcribe, and Kendra to create a powerful system that enhances agent performance and customer satisfaction through AI-driven assistance and efficient data processing

Seeq’s advanced analytics platform, built on AWS, helps manufacturing companies track and reduce their carbon emissions by providing real-time carbon intensity monitoring and streamlined life cycle assessment (LCA) reporting, as demonstrated through three customer use cases including a global chemical company that reduced LCA assessment time by 90%. The platform integrates with various data sources and AWS services like the Sustainability Insights Framework, enabling manufacturers to make data-driven decisions for sustainability improvements while meeting regulatory requirements and corporate environmental goals.

YugabyteDB has enhanced its Hybrid Logical Clock mechanism by integrating with Amazon Time Sync Service on Amazon EC2 instances, providing microsecond-accurate reference clocks that have resulted in up to 3x reduced latency and 2x increased throughput compared to not using the service. This integration represents a significant advancement in distributed database performance, benefiting YugabyteDB’s customers across various industries including fintech, retail, streaming media, and automotive manufacturing who rely on quick data access while maintaining consistency and resiliency.

As organizations embrace cloud solutions, they are no longer limited to standalone implementations; instead, they are managing complex infrastructure across multiple AWS accounts which are distributed across various geographic regions. ControlMonkey is an AI-powered Terraform Automation platform, providing a 360 solution to operate your infrastructure at scale with Terraform. It offers a control plane to visualize, spin up, automate, and govern cloud infrastructure.