One of the largest Airline in the world chose Dynatrace, here is the customer case.
Including:
Vision and Goal / Challenges / Requirements / Why Dynatrace is Unique / ROI and TCO / Rollout Status / Solution Screenshots
Dynatrace redefined monitoring with AI powered 3rd Generation APM, User Experience Monitoring & Continuous Improvement, Cloud-native, Full Stack, Auto Everything, End-to-End, Easiest to Implement, Use and Maintain
2. confidential
Customer’s vision & goal
Goal = monitor infrastructure
+ apps + users across 15,500
app/web servers in 5 months
our customers
a service
impact
3. confidential
Understand
User & Business
Impact
Know
Performance
Issues
Prioritise
Resolutions
Siloed tooling
& data
Faster
Troubleshoot
Customer’s challenges
See how
Applications
Interact
End-to-End
Visibility &
Control
Labour Intense &
Manual Processes
• 76% of high severity issues were identified by customers (only 24% detected by previous monitoring tools)
• High severity issues would result in 50+ people on a “war room “ bridge
• Multiple tools used by different silos – long recovery times from issues and no proactiveness
4. confidential
User Experience
Application
Services & processes
Platform
IaaS
Physical
Real-time application topology discovery
Anomaly detection
Business impact analysis
Problem and root-cause analysis
BizDevOps insights & analytics
Automation & Orchestration Collaboration & Workflow Big data analytics
API integrations
Requirements
5. Better data makes Dynatrace artificial intelligence and automation possible
Mobile
Application
Code
Database
Network
Container
Micro-service
Browser
SyntheticServer
Mainframe
Log & Events
API
Cloud
high fidelity, full stack data
All transactions, all the time
Connected end-to-end
PurePath + Smartscape
Real-time dependency detectionAuto instrumentation
Automated workflows
Automated problem detection
Automated root cause analysis
Causation gives answers
Automation
Automate the effort
Natural language interface
Automated business impact
OneAgent/Singleproduct
Advanced analytics
Expert knowledge built-in
Self learning A.I.
Why ?
6. confidential
100x faster
to implement
Max coverage, lowest
cost
ROI and TCO validated by customer
Faster
implementation
Lower resources
overhead Reduced MTTR Fewer tools
• Single agent
implementation
• Full stack, continuous
auto-discovery
• Auto-baselining and
dependency mapping
1/10th of the people
Easiest & lowest TCO
• AI-based problem
identification
• Automated root cause
analysis
• Pre-configured
dashboards, easy agile
customization
20x faster MTTR
Optimal UX
• Single root cause
identified for fast
remediation
• Understand business
impact – focus on
what matters
• Auto-remediation
with accuracy &
confidence
All-in-one,
Nothing like it
• End-to-end: all users,
all apps, all digital
channels
• Full-stack: all data, all
layers, all technologies
• One complete source
of truth, vs a “suite”
of disparate data sets
1/10th the TCO of other solutions
Scalability
100x scale
Grow w/out barriers
• Horizontally scaling
cluster architecture
• Scales beyond 100,000
hosts
• Only solution with true
high availability for
web-scale
7. Goal = monitor infrastructure + apps + users across 15,500
app/web servers in 5 months
First install = 1,870 web/app servers instrumented in 6 hours
3 months in = deployed across top 21 most critical apps and 9,361 web/app servers
Rollout status
Rollout goal was achieved within the 5 months given!
11. 500+ engineers in R&D makes it all possible
66% more than nearest competitor
# of customer
reported incidents
is now negligible
33% faster revenue
realization
Test cycle times
reduced by 4x
Constantly innovating
7 years a leader in Gartner
#1 market share leader
OpenShift Primed Partner
AWS Advanced Technology Partner
Technology partner
Docker Certified
Azure Partner
OpenStack Certified
3x more market shares than others MQ leaders
Realistic results
Notas do Editor
(they literally called out that we “redefined monitoring” in the way Dynatrace works) they were ready to have more meetings and sessions with us.
Let’s dig into artificial intelligence more deeply so that we don’t confuse the buzz word with what Dynatrace actually delivers today. It’s important to understand the foundational underpinnings of Dynatrace AI and it starts with the fact that Dynatrace captures all transactions –all users – all the time // as well as all of the associated full-stack analytics. // This in turn provides the type of 100% high-fidelity data necessary to enable real-time dependency detection and ultimately…self-learning Artificial Intelligence. //
This approach to artificial intelligence leads to true Problem Detection at the root cause, not just more robust incident detection. Meaning that Dynatrace will automatically point to the likely cause of a problem and eliminate the alert storm that is typically the result of the many minor incidents that are contributing to the problem but not the problem itself.
And all of this is fully automated and can be accessed via dashboards, natural language interfaces like Alexa and Siri or you can hook it up to Slack and leverage bi-directional instant messaging.
No other monitoring tool can achieve this. Their data is spotty with snapshots, sampling and it’s not truly full stack. With spotty data, A.I. algorithms are useless. Without A.I., everything must be done with human operators. This does not scale.
Use this slide to demonstrate that deployments with Dynatrace are different. They are fast – fully automated. Ultra-low TCO.
We have thousands of customers around the world that trust us and for as long as the Gartner APM magic quadrant has existed, Dynatrace has been a Leader in that quadrant…a fact that no other company can claim. Now let’s look at some relevant examples of how Dynatrace can support your specific use cases…
