How to Reduce the Cost of Observability Without Skimping on Coverage

Observability is crucial for maintaining visibility and troubleshooting microservices issues. Unfortunately, the costs of storing and analyzing large volumes of observability data, particularly traces and logs, can quickly spiral out of control. In this webinar, Orr Weinstein, VP of Product, and AWS Sr. Solutions Architect, Bhavye Sharma, will provide actionable strategies for reducing microservices observability costs without compromising coverage and effectiveness.

They examine:

  • The primary cost drivers in observability
  • Identifying inefficiencies
  • Areas where costs can be optimized
  • Best practices for implementing intelligent retention policies

Discover how to achieve cost-effective observability without sacrificing coverage. Gain insights into configuring log management and distributed tracing tools to balance cost and performance, ensuring comprehensive coverage while keeping expenses in check.

Meet your hosts

Orr Weinstein
Orr Weinstein
Orr is VP of Product at Lumigo and has been building products for nearly two decades in various dev and product roles. Orr has formerly held leading Product roles at AWS, GCP, and Spot.io and was lead developer at the IDF and RAM Engineering.Orr holds a Master of Business Administration (M.B.A.) from The University of Chicago Booth School of Business and a Bachelor's Degree in Economics and Management from The Open University of Israel
Bhavye Sharma
Bhavye Sharma is a technologist, speaker, and Solutions Architect @ AWS, where he advises AWS Partners on building cloud-enabled businesses. Based in Seattle, Bhavye holds a Master’s in Computer and Information Technology from Purdue University, where he authored a thesis on Observability for Microservices. Bhavye is passionate about building distributed systems, but when he’s not building, you can find him exploring new hiking trails, enjoying a good book, or immersing himself in the vibrant local music scene.

On-demand

AI-Powered Observability
Preventing Production Downtime with AI-Powered Observability
Watch now
How to Reduce the Cost of Observability Without Skimping on Coverage
Watch now
Reducing the Complexity and Cost of Observing AWS Microservices
Watch now
Reduce EKS Troubleshooting Time From Days to Minutes
Watch now
Why is Observability So Expensive? Implementing Cost-Saving Opportunities
Watch now
Building Resilient Applications – Smart Approaches in Chaos Engineering, Observability, and AIOps
Watch now