how mcgraw-hill education uses sumo logic to troubleshoot web applications on aws
TRANSCRIPT
How McGraw-Hill Education Uses Sumo Logic to Troubleshoot Web Applications on AWS
Shane Shelton, Michael Butt, Matt Tavis Jun 18, 2015
Agenda
• Welcome & Introductions
• How McGraw-Hill Education Uses Sumo Logic
• Amazon Web Services
Housekeeping
• Attendees will be muted throughout the webinar • Ask questions at anytime by typing them in the chat window • The webinar recording will be sent to all participants
• You’ll be prompted to answer a single survey question at the end
Welcome and Introductions
Today’s Speakers
Matt Tavis Principal Solutions
Architect AWS
Michael Butt Sr. Product Marketing
Manager Sumo Logic
Shane Shelton Sr. Director of Application
Performance and Development Operations McGraw-Hill Education
How McGraw-Hill Education Uses Sumo Logic
Introduction
• McGraw-Hill Education
• Rapidly transitioning from a publishing to Learning Science Company • Investing heavily in digital software • Splits product deployments between Amazon Web Services (AWS) and
company data centers • Use almost all AWS services available across multiple products on a
global scale
Troubleshooting and Real-Time Alerting
• When issues are found, we use Sumo Logic to search millions of rows of logs in minutes.
• No longer is it just Operations that can view logs in Production, we give log access to multiple groups inside our company to help resolve issues faster without having to give access to ANY Production systems.
• We have cross-functional teams that have access to multiple product logs to allow for quicker troubleshooting of issues in QA. This is enabled via Roles in the Sumo Logic console. This feature is extremely helpful in Development.
• Created numerous alerts from our logs on known events that can occur. Sumo Logic’s alerting engine notifies you in real time for agent based nodes.
Alerting Examples Example of Some of our Alerts
Drilldown into Weblogic DB Connection Issue Alert (Recipients Removed)
Dashboard Example
Sumo Logic LogReduce Feature
• When trying to find issues across 100s and 1000s of servers, it’s not helpful to look at a detailed view.
• Sumo Logic LogReduce lets us take 1000s of pages of logs and
reduce it into patterns that are easier to troubleshoot. • This was particularly helpful when the Bash vulnerability came out and
we had to filter out how many servers got attacked and by whom before we got the final fix from Red Hat.
LogReduce Example Example without LogReduce Across a McGraw-Hill Education Application Tier searching for Java Exceptions (11,229 pages)
With LogReduce Enabled (15 pages)
Amazon Web Services
The Power of AWS through Partnership
• Pace of innovation is quickening – For you – But also the tools around you
• AWS-based solutions should not be a lonely experience
– AWS Partner Network has 1000s of ISV and SI partners
– AWS Marketplace has 2100+ software listings in 23 categories
– Many AWS partners support on-prem or even hybrid models as well
Sign Up Free 30 Day Trial www.sumologic.com
Questions?
Sumo Logic Michael Butt
[email protected] www.sumologic.com
McGraw-Hill Education Shane Shelton
[email protected] www.mheducation.com
AWS Matt Tavis
[email protected] aws.amazon.com