Take Database Performance Troubleshooting to the Next Level with Datadog APM and Logs

Due to the evolving Coronavirus/COVID-19 situation, SREcon20 Americas West has been rescheduled to June 2–4, 2020.
More information is available here.

Tuesday, March 24, 2020 - 4:35 pm5:10 pm

Anatoly Mikhaylov, Zendesk

Core Principles
Abstract: 

Application performance troubleshooting is hard, comprehensive tracing around database performance is harder. Having application traces with meaningful context of what database is doing (process list and statement analysis) at the exact moment of time is even harder. Why is a given SQL query fast in one case and slow in the other? Is the query execution plan enough to understand and address performance issues? In this session we will learn how to use APM and Logs to connect layers of the stack together in order to investigate performance issues thoroughly and expediently.

Anatoly Mikhaylov, Zendesk

Anatoly is a keen enthusiast in observability and performance troubleshooting. He works as a Staff SRE engineer at Zendesk in Dublin, Ireland where he is part of a global team that builds and maintains next generation observability tools for dozens of high traffic microservices/databases. He contributes to Zendesk Engineering blog. He is also a runner, an avid hiker and nature photographer. Before Zendesk, Anatoly worked as a DBA, DevOps and Software engineer for over ten years.

BibTeX
@conference {247295,
author = {Anatoly Mikhaylov},
title = {Take Database Performance Troubleshooting to the Next Level with Datadog {APM} and Logs},
year = {2020},
address = {Santa Clara, CA},
publisher = {{USENIX} Association},
month = mar,
}