This webinar discusses breaking down silos between development, operations, and business teams to deliver great user experiences. It highlights challenges with DevOps adoption such as technical complexity, data quality issues, and information silos between teams. The webinar promotes using automated monitoring across the full stack to detect problems early, understand impacts, and pinpoint root causes. It argues this approach can help teams innovate faster while improving quality and lowering costs by remediating issues more quickly.
BizOps Done Right: Breaking DevOps Silos to Deliver Great User Experiences
1. BizOps Done Right!
Breaking DevOps Silos
to Deliver Great User Experiences
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3. Driving Factors for DevOps Adoption?
https://puppet.com/resources/whitepaper/2017-state-devops-report/
http://www.gartner.com/binaries/content/assets/events/keywords/infrastructure-operations-management/iome5/gartner-predicts-for-it-infrastructure-and-operations.pdf
• Speed to Market
• Operational Efficiency
• Lowering Costs
• Better Quality
• Employee Retention *
• Technology Disruption
* Employees are twice as likely to recommend their employer to others
4. Dev Perf/Test Ops Biz
Faster Innovation – Continuous Delivery Pipelines
Faster Acting on BizDevOps Feedback
Unit Perf
Cont. Perf
New Deploy
New Capability
CI CD Remove/Promote
Triage/Optimize
Update Tests
Innovate/Design
Lower Costs
Happy Users
The 10,000 Foot View of Biz(DevOps)
5. High Performers vs Low Performers:
Speed Gap Closing but Quality Gap Increasing
https://puppet.com/resources/whitepaper/2017-state-devops-report/
6. BizDevOps Adoption Challenges
Technical Complexity DevOps promotes choice:
“the best stack for your problem”
Bad Data & Code Quality DevOps today mainly driven by Biz
“faster to market” but not “quality to market”
Data & Department Silos DevOps promotes small & agile:
“2 Pizza Teams”, “Services”, “Containers”
IDG Research: April 2017 - http://www.computerwoche.de/a/digitale-kundenbeziehung-keine-halben-sachen,3330524,2
https://www.dynatrace.com/blog/devops-adoption-challenges-from-around-the-world/
9. Biz View: Airline – Platinum Member Traveling
Book
Flight
Check-
In
Stop in
Lounge
Inflights
Max Platinum
Going on a Trip
10. Team Stack Individual Pipe Cycle Time Monitoring
Geo Service Team Weekly
Product Service
Team
Every Sprint
Cart Service Team Daily
Check-In Service
Team
On-Demand
Mobile App Team Monthly
Dev View: Airline – Platinum Member Traveling
11. Team Individual Pipe
Payment Service A
Check in Service B
Passport Service C
Baggage Service D
Check in Service X
ISSUE! Max Platinum Can Not Check In!
12. Solution: Build Monitoring into BizDevOps Strategy
Every user, every app, everywhere. AI powered, full stack, automated
Full lifecycle - development, test, and production
16. Team Individual Pipe Stack
Geo Service Team
Product Service Team
Cart Service Team
Check-In Service Team
Mobile App Team
Challenge Technical Complexity:
One Agent
Full Stack
Solved
17. Challenge Bad Quality:
Dev Perf/Test Ops Biz
Shift-Left Performance: Break Pipeline Earlier
Auto-Healing: Recover Faster in Ops
Solved
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Participate in our Forum :
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Read our Blog :
https://www.dynatrace.com/blog/
Just a reminder about what drives companies to adopt DevOps Best Practices!
From a high-level view people think that this is DevOps: Continuous Delivery with Shared Responsibility of Dev, Ops and Biz
The “Main Street DevOps Adopters” are indeed getting faster in delivery – but they are falling behind when it comes to quality!
When talking with practitioners we see several challenges – especially on the Ops side of (Dev)Ops!
Our transformation helped us to build Dynatrace – the product that redefines monitoring!
With Dynatrace you can monitor every user, every app, everywhere; the platform is powered by Artificial Intelligence which is leveraged to identify issues and suggest remedies. Dynatrace monitors the full stack – meaning from the network through database and application tiers, into code-specific analysis all the way out to end user devices and third party add-ins. The same holds true for both in house hosted applications as well as private clouds, public clouds and hybrid clouds where containerization, hyper-scale and elastic computing dominate.
And all of this is automated – not only initial set up and instrumentation but problem identification, dashboards, ongoing adaptation to environmental and application changes as well as upgrading the Dynatrace platform itself. All automated.
Also works well for business problems: which application is currently impacing our end users. What is the impact on conversion rate or bounce rate. And what is the actual root cause?
Our Artificial Intelligence automates most of the work you would normally do – namely:
#1: Identifying whether there is a problem
#2: Identifying the impact -> who is impacted?
#3: Root Cause of the problem to fix it fast!
In Dynatrace we automatically package this information in a Problem Ticket and give you all the details you need to make the right decision to address this issue
And underneath the hood -> we have all the details your architects and developers need to fix any application specific issue