Udayasimha Theepireddy
Director, Cloud and AI Ecosystem Architecture
Observability for Amazon MQ with Elastic: Demystifying Messaging Flows with Real-Time Insights
RabbitMQ, managed by Amazon MQ, enables asynchronous communication in distributed architectures but introduces operational risks such as retries, processing delays, and queue backlogs. Elastic’s Amazon MQ integration for RabbitMQ delivers deep observability into broker health, queue performance, message flow, and resource usage through Amazon CloudWatch metrics and logs. This blog outlines key operational risks associated with RabbitMQ and explains how Elastic observability helps maintain system reliability and optimize message delivery at scale.
Getting started with the Elastic AI Assistant for Observability and Amazon Bedrock
Follow this step-by-step process to get started with the Elastic AI Assistant for Observability and Amazon Bedrock.
Revolutionizing big data management: Unveiling the power of Amazon EMR and Elastic integration
Amazon EMR allows you to easily run and scale big data workloads. With Elastic’s native integration, you'll find the confidence to monitor, analyze, and optimize your EMR clusters, opening up exciting opportunities for your data-driven initiatives.
Achieving seamless API management: Introducing AWS API Gateway integration with Elastic
With Elastic's AWS API Gateway integration, application owners and developers unlock the capability to proactively identify and resolve problems, fine-tune resource utilization, and provide extraordinary digital experiences to their users.
Unleash the power of Elastic and Amazon Kinesis Data Firehose to enhance observability and data analytics
AWS users can now leverage the new Amazon Kinesis Firehose Delivery Stream to directly ingest logs into Elastic Cloud in real time for centralized alerting, troubleshooting, and analytics across your cloud and on-premises infrastructure.