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Confidential, Dynatrace, LLC
Closing the DevOps Loop
Helen BealDevOpsologist
@helenranger4
Andreas GrabnerTechnology Strategist@grabnerandi
Confidential, Dynatrace, LLC
A Short History of DevOps
2007
2008
2009 2013
Andrew ShaferAgile Conference, Toronto
Patrick Dubois
Agile System AdministratorGroup
DevOps Days Belgium#devops
John Allspaw &Paul HammondFlickR
‘Gartner ExploresDevOps’Cameron Haight
Mike Gualateri, Forrester– ‘NoOps’
Ronnie Colville of Gartner: ‘ARA is a Key to DevOps’
20142010
2011
2012
2015
2016
DevOps Days Belgium5 Year anniversary Ghent
The Phoenix Project GAME!
DevOps
Confidential, Dynatrace, LLC
CALMS
Confidential, Dynatrace, LLC
CALMS
Confidential, Dynatrace, LLC
The Three Ways
Confidential, Dynatrace, LLC
The Three Ways
Confidential, Dynatrace, LLC
The Three Ways
Confidential, Dynatrace, LLC
The Three Ways
1.Flow
2.Feedback loops
3. Experimentation and learning
Confidential, Dynatrace, LLC
Ideation
Integration
ValidationOperation
Realisation
DevO
ps
The DevOps Loop ©Ranger4
Confidential, Dynatrace, LLC
What are Metrics that Matter?
Confidential, Dynatrace, LLC
What is Digital Performance
Management?
Confidential, Dynatrace, LLC
mobile
browser
network
multi-geo3rd parties cloud
containers
services
codehosts
synthetic
logsbusinesstransaction
applications
sdnrelax
full-stack, broad, hyper-scale
Confidential, Dynatrace, LLC
unified, modern, all you need
@grabnerandihttps://dynatrace.github.io/ufo/
“In Your Face” Data!
@grabnerandi
Time of D
eployment
Availability dropped to 0%
#1: Availability -> Brand Impact
#2: UX by Device, Geo, AppVersion …
User Experience
AppVersion
(A/B Testing)
Device Geo
@grabnerandi
New Deployment + Mkt Push
Increase # of unhappy users!
Decline in Conversion Rate
Overall increase of Users!
#3: User Experience -> Conversion
Spikes in FRUSTRATED Users!
@grabnerandi
#4: Resource Cons -> Cost per Feature
4x $$$ to IaaS
@grabnerandi
#5: Performance -> Behavior
@grabnerandi
From Reactive to ProactiveYou measure it! from Dev (to)
Ops
@grabnerandi
Scaling an Online Sports Club Search Service
2015201420xx
Response Time
2016+
1) 2-Man Project 2) Limited Success
3) Start Expansion
4) Performance Slows Growth Users
5) Potential Decline?
@grabnerandi
Early 2015: Monolith Under Pressure
Can‘t scale vertically endlessly!
May: 2.68s 94.09% CPU Bound
April: 0.52s
@grabnerandi
From Monolith to Services in a Hybrid-Cloud
Front End inGeo-Distributed
Cloud
Scale Backendin ContainersOn Premise
@grabnerandi
Go live – 7:00 a.m.
@grabnerandi
Go live – 12:00 p.m.
What Went Wrong?
@grabnerandi
26.7s Load Time5kB Payload
33! Service Calls99kB - 3kB for each call!
171! Total SQL Count
Architecture ViolationDirect access to DB from frontend service
Single search query end-to-end
@grabnerandi
The fixed end-to-end use case“Re-architect” vs. “Migrate” to Service-Orientation
2.5s (vs 26.7) 5kB Payload
1! (vs 33!) Service Call5kB (vs 99) Payload!
3! (vs 177) Total SQL Count
@grabnerandi
@grabnerandi
You measure it! from Dev (to) Ops
@grabnerandi
Build 17 testNewsAlert OKtestSearch OK
Build # Use Case Stat # APICalls # SQL Payload CPU
1 5 2kb 70ms1 35 5kb 120ms
Use Case Tests and Monitors Service & App Metrics
Build 26 testNewsAlert OKtestSearch OK
Build 25 testNewsAlert OKtestSearch OK
1 4 1kb 60ms34 171 104kb 550ms
Ops# Servers Usage UX
1 0.5% 7.2s
1 63% 5.2s
1 4 1kb 60ms2 3 10kb 150ms
1 0.6% 3.2s
6 75% 2.5s
Build 35 testNewsAlert -testSearch OK
- - - -2 3 7kb 100ms
- - -
4 80% 2.0s
Continuous Innovation and Optimization
Re-architecture into „Services“ + Performance Fixes
Scenario: Monolithic App with 2 Key Features
Reduce Lead Time: Stop Bad Code Early, Automated through Better DevOps Feedback Loops
CI/CD: Level-Up Functional to to Architectural & Performance
regression detection
Perf: Focus on the tough performance issues in
Load Testing
Dev: Check-In BETTER Code
Ops: Keep your end users and environment
happy
Biz: Innovate on End User Behavior Analysis
Want to see a demonstration?
BeDevOpstastic
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