Dynatrace has introduced code-level monitoring for serverless AWS Lambda functions. With the AWS Lambda serverless compute service becoming increasingly popular for IoT and Alexa skills, Dynatrace is also announcing that for the first-time organizations can monitor performance across the whole omnichannel landscape, covering web, mobile and now voice-based interactions with Amazon Alexa.
“Amazon Alexa is becoming a key part of omnichannel experiences. Today, people buy and transact business via voice, not just on their laptop or mobile device. Monitoring these transactions at a user level is critical, as without it, you have an increasingly big blind-spot,” said Alois Reitbauer, VP, Chief Technical Strategist and Head of Innovation Lab at Dynatrace. “It’s similar with IoT; you now have millions of devices that are driving the code that’s being executed in AWS Lambda, so organizations need automated real-time discovery and continuous visibility to deliver proactive performance management and avoid IoT failures.”
Organizations are using AWS Lambda for event-driven applications such as Alexa skills and IoT deployments to eliminate server costs, improve availability and move to a self-managing infrastructure model. Now with Dynatrace, organizations using AWS Lambda can benefit from deep visibility into how code is running in AWS Lambda functions and as a result understand its impact on overall application performance and user experience.
“AWS Lambda represents true innovation in the cloud and an evolution in the abstraction of hardware. However, in these highly dynamic environments where code doesn’t sit on a server, but on compute power that appears and disappears in milliseconds, monitoring and managing performance in the traditional way is impossible,” Reitbauer continued. “With our AI-driven approach to performance monitoring and management, organizations can now shine a light on AWS Lambda functions to optimize the digital user experience.”