Media Summary: Panel: OpML Moderator: Vanessa Yiu, Goldman Sachs Panelists: Todd Underwood, Google; Josh Hartman, LinkedIn; Zhangwei ... Elephant in the Blameless War Room—Accountability Christina Tan and Emily Arnott, Blameless How do you reconcile the ideal ... SRE "Power Words"—the Lexicon of SRE as an Industry Dave O'Connor, Elastic As the SRE Industry develops, we've come to ...

Srecon21 Automating Performance Tuning With - Detailed Analysis & Overview

Panel: OpML Moderator: Vanessa Yiu, Goldman Sachs Panelists: Todd Underwood, Google; Josh Hartman, LinkedIn; Zhangwei ... Elephant in the Blameless War Room—Accountability Christina Tan and Emily Arnott, Blameless How do you reconcile the ideal ... SRE "Power Words"—the Lexicon of SRE as an Industry Dave O'Connor, Elastic As the SRE Industry develops, we've come to ... Nine Questions to Build Great Infrastructure SRE for ML: The First 10 Years and the Next 10 Todd Underwood, Google Over 10 years ago we started building SRE for a large ... What If the Promise of AIOps Was True? Niall Murphy, RelyAbility Many SREs treat the idea of AIOps as a joke, and the community ...

Latency Distributions and Micro-Benchmarking to Identify and Characterize Kernel Hotspots Danny Chen, Bloomberg LP For ... Reliable Data Processing with Minimal Toil Pieter Coucke, Google; Julia Lee, Slack Learn about the risks involved with data ... Demystifying Machine Learning in Production: Reasoning about a Large-Scale ML Platform Mary McGlohon, Google Machine ... Learning More from Complex Systems Andrew Hatch, LinkedIn Complex systems are everywhere. From simple organisms like ... Capacity Management for Fun & Profit Aly Fulton, Elastic Are you looking to move past the "throw unoptimized infrastructure at a ...

Photo Gallery

SREcon21 - Automating Performance Tuning with Machine Learning
SREcon21 - Panel: OpML
SREcon21 - Elephant in the Blameless War Room—Accountability
SREcon21 - SRE "Power Words"—the Lexicon of SRE as an Industry
SREcon21 - Nine Questions to Build Great Infrastructure Automation Pipelines
SREcon21 - SRE for ML: The First 10 Years and the Next 10
SREcon21 - What If the Promise of AIOps Was True?
SREcon21 - Latency Distributions and Micro-Benchmarking to Identify and Characterize Kernel Hotspots
SREcon21 - Reliable Data Processing with Minimal Toil
SREcon21 - Demystifying Machine Learning in Production: Reasoning about a Large-Scale ML Platform
SREcon21 - Learning More from Complex Systems
LISA21 - Performance Analysis of XDP Programs
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SREcon21 - Automating Performance Tuning with Machine Learning

SREcon21 - Automating Performance Tuning with Machine Learning

Automating Performance Tuning with

SREcon21 - Panel: OpML

SREcon21 - Panel: OpML

Panel: OpML Moderator: Vanessa Yiu, Goldman Sachs Panelists: Todd Underwood, Google; Josh Hartman, LinkedIn; Zhangwei ...

Sponsored
SREcon21 - Elephant in the Blameless War Room—Accountability

SREcon21 - Elephant in the Blameless War Room—Accountability

Elephant in the Blameless War Room—Accountability Christina Tan and Emily Arnott, Blameless How do you reconcile the ideal ...

SREcon21 - SRE "Power Words"—the Lexicon of SRE as an Industry

SREcon21 - SRE "Power Words"—the Lexicon of SRE as an Industry

SRE "Power Words"—the Lexicon of SRE as an Industry Dave O'Connor, Elastic As the SRE Industry develops, we've come to ...

SREcon21 - Nine Questions to Build Great Infrastructure Automation Pipelines

SREcon21 - Nine Questions to Build Great Infrastructure Automation Pipelines

Nine Questions to Build Great Infrastructure

Sponsored
SREcon21 - SRE for ML: The First 10 Years and the Next 10

SREcon21 - SRE for ML: The First 10 Years and the Next 10

SRE for ML: The First 10 Years and the Next 10 Todd Underwood, Google Over 10 years ago we started building SRE for a large ...

SREcon21 - What If the Promise of AIOps Was True?

SREcon21 - What If the Promise of AIOps Was True?

What If the Promise of AIOps Was True? Niall Murphy, RelyAbility Many SREs treat the idea of AIOps as a joke, and the community ...

SREcon21 - Latency Distributions and Micro-Benchmarking to Identify and Characterize Kernel Hotspots

SREcon21 - Latency Distributions and Micro-Benchmarking to Identify and Characterize Kernel Hotspots

Latency Distributions and Micro-Benchmarking to Identify and Characterize Kernel Hotspots Danny Chen, Bloomberg LP For ...

SREcon21 - Reliable Data Processing with Minimal Toil

SREcon21 - Reliable Data Processing with Minimal Toil

Reliable Data Processing with Minimal Toil Pieter Coucke, Google; Julia Lee, Slack Learn about the risks involved with data ...

SREcon21 - Demystifying Machine Learning in Production: Reasoning about a Large-Scale ML Platform

SREcon21 - Demystifying Machine Learning in Production: Reasoning about a Large-Scale ML Platform

Demystifying Machine Learning in Production: Reasoning about a Large-Scale ML Platform Mary McGlohon, Google Machine ...

SREcon21 - Learning More from Complex Systems

SREcon21 - Learning More from Complex Systems

Learning More from Complex Systems Andrew Hatch, LinkedIn Complex systems are everywhere. From simple organisms like ...

LISA21 - Performance Analysis of XDP Programs

LISA21 - Performance Analysis of XDP Programs

Performance

SREcon21 - Capacity Management for Fun & Profit

SREcon21 - Capacity Management for Fun & Profit

Capacity Management for Fun & Profit Aly Fulton, Elastic Are you looking to move past the "throw unoptimized infrastructure at a ...