Performance Tipping Points - Hitting Hardware Bottlenecks

June 21, 2017

Speaker: Akira Kurogane, Senior Technical Services Engineer, MongoDB Session Type: 40 minute main track session
Level: 300 (Advanced)
Track: Performance

One week your active dataset consumes 90% of available RAM. The next week it's 110%. Is that a 10% or 99% performance degradation? Let's discover what it looks like when different hardware capacity limitations are hit. For example, memory vs. disk bottlenecks, the rare CPU bottleneck and network bottlenecks, seeing what happens when you drop a crucial index during peak load, or what happens when you run multiple WiredTiger nodes on the same server without limiting their cache size.

What You Will Learn:

Performance analysis

Post-mortem log analysis

Capacity planning

Previous Presentation
Building the Real-Time Performance Panel
Building the Real-Time Performance Panel

Speaker: Jonathan Balsano, Software Engineer, Cloud, MongoDB Level: 200 (Intermediate) Track: How We Build...

Next Presentation
MongoDB Atlas and Serverless Architectures
MongoDB Atlas and Serverless Architectures

Speaker: Tosin Ajayi, Sr. Solutions Architect, MongoDB Level: 300 (Advanced) Track: Atlas With its high u...