How cloud engineering teams use Elastic Observability and Tines to optimize resources

The integration of Tines and Elastic Observability enables cloud engineers to enhance security operations and achieve cost savings by automating workflows based on real-time insights. By leveraging these platforms, organizations can dynamically scale resources, schedule non-production instance shutdowns during off-peak hours, and implement cost allocation policies to optimize spending. A specific example of such automation is a workflow that detects and remediates high CPU usage on AWS EC2 instances, which automatically adjusts resources to maintain performance. Detailed guides and workflows are available on Elastic's blog, with options for users to import workflows and explore Tines and Elastic's capabilities through free trials.