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Cloud innovation and automation

Journey to the Cloudwith Dynatrace

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ABOUT US.

WHO ARE WE

• #1 provider of best possible bar preparation experience

• 50+ years in business

• 20+ years online

• 2 years in the cloud

• 4 years as Dynatrace customer

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““With Dynatrace, my team has a way to scale all of the services andresources that we need to ensure a positive customer experience”

Mark Kaplan, Barbri

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Why BARBRI Chose Dynatraceto Replace New Relic

• Single monitoring solution

• Auto-everything – Discovery, dependency detection and baselining.

• Ease of use: Artificial intelligence

• Pre-configured and automatically adjusted dashboards

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THE JOURNEY

Stage 1 – The Beginning (2013)

• 2 identical physical DC‘s with one acting as a hot DR site

• BARBRI was a New Relic customer at the time

• Challenged with New Relic, we knew we needed something better

• Dynatrace product initially known as Ruxit, then re-branded Dynatrace

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Baselining

• Dynatrace automatically learns baseline response times for applications and

services

• In addition, factors in variables such as geo-location, browser type, operating

system, connection bandwidth, and user actions

• Intelligent and automatic baseline

• adjusts baselines over time based on patterns it detects

• detects anomalies at highly granular levels and alerts and notifies problems in

real-time

• Baselines can also be set manually

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Stage 2 – Running Hybrid

• Ran Hybrid for more than a year

• Duplicated our environment in Azure

• Compared Azure’s performance using Dynatrace

• Ensured cloud would operate the same, if not better,

than on-prem

• Dynatrace was pivotal role in Azure build out

• we compared the performance of our VM‘s between prem and cloud

• Duplicated metrics we had previously on prem

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Zero Configuration Monitoring of Docker Containers

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Stage 2 – Circle in the Developers

• Rolled out as a Systems tool initially

• Expanded to Software Development

• Dynatrace gave developers a window into code

bottlenecks

• Found developers utilized Dynatrace when

troubleshooting code issues

• Solutions provided by Dynatrace: showed problem and

where to look

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Stage 3 – Optimize the Tooling

• Continue to expand our use of Dynatrace

• Consolidate monitoring from multiple tools to one

• Continue to use Splunk for log monitoring

• Evaluate Dynatraces capabilities in log monitoring as well

• Continue to optimizing our environment with the

assistance of Dynatrace using the optimizing the tool as

well

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Stage 4 – All Cloud (2017)

• Entire production environment is in Azure

• 3 DC‘s in Azure using 2 regions.

• Failover is automatic within regions, manual to another region

due to the way we have Windows clustering configured

• Small DR site built out in AWS: ensures against unexpected

total Azure outage

• Process of moving from VM‘s to PaaS offerings within Azure

• DBaaS will be first deployment phase for our SQL

environment

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DASHBOARDS

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BARBRI Docker Dashboard

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Full-Stack Visibility: Out of the Box

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Who do your services talk to?

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Where do your services actually run?

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BARBRI Docker Dashboard

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Dashboards

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CUSTOM DASHBOARDS

• Create custom dashboards based on Filters

• Select the components to show on dashboard

• Select the metrics to show on the dashboards

• Share the dashboards among teams

• Set these to be home dashboard for login

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Thank you