#201: As an application developer, we’re used to adding logging to our applications. We also work with our operations counterparts to enrich those logs to help them out when troubleshooting. But what happens during an incident when the logs are flowing so fast that neither you nor the operations people can keep up? That’s where machine learning can help.
In this episode, we speak with Ajay Singh, CEO at Zebrium, about why humans need help troubleshooting issues and how machine learning helps detect outliers and solve those last mile problems.
Ajay’s contact information:
LinkedIn: https://www.linkedin.com/in/ajaysingh3/)
YouTube channel:
https://youtube.com/devopsparadox/)
Books and Courses:
Catalog, Patterns, And Blueprints
https://www.devopstoolkitseries.com/posts/catalog/)
Review the podcast on Apple Podcasts:
https://www.devopsparadox.com/review-podcast/)
Slack:
https://www.devopsparadox.com/slack/)
Connect with us at:
https://www.devopsparadox.com/contact/)
