AI Powers New AWS Lambda Monitoring Tool
Application Performance Management specialist Instana is touting artificial intelligence capabilities in its tool that focuses on dynamic microservice applications.
The company recently
announced it has extended the reach of its APM offering to include AWS Lambda -- the Amazon Web Services serverless computing platform -- and many other services on the AWS cloud.
"More business applications are operating in a hybrid environment, incorporating traditional monolithic applications, wrappered with a new microservice stack, and using native AWS services. It's now also common to see customers starting to use AWS Lambda Functions for specific microservices as well," said Mirko Novakovic, Instana CEO, in a news release.
The support of AWS services provides continuous automatic discovery of Lambda and other AWS components, collecting configuration, performance and health information for each platform, along with application performance metrics across the entire environment.
The company said its solution leverages AI to automatically monitor, visualize and understand application performance for dynamic containerized microservice applications. The company says immediate alignment of the application service map with every change ensures AI performance analysis is accurate. Furthermore, AI is reportedly brought to bear to provide alerting and to identify each incident's likely root causes.
Along with Lambda, the other AWS native platforms being monitored via Instana sensors include:
- S3 -- Amazon's Simple Cloud Storage Service, a Web-scale storage solution for Web applications
- SQS -- the AWS messaging middleware platform
- RDS -- the AWS native relational database
- Dynamo -- the AWS NoSQL database
- Kinesis -- a streaming optimization platform for AWS-based applications.
David Ramel is an editor and writer for Converge360.