Building Resiliency into the DevOps Cloud

Using AI and Automation for Unbreakable Continuous Delivery

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Building Resiliency into the DevOps Cloud screenshot
Building Resiliency into the DevOps Cloud screenshot

Benefits of unbreakable continuous delivery

Dynatrace’s AI-powered more autonomous platform drove our own digital transformation. The results have been fantastic!

Increased agility ~200 code commits / day 340 stories per two-week sprint 24x more releases
Increased quality 31,000 unit & integration tests / hour 68h UI tests per build 93% production bugs found by development
Increased stability ~1,000 global EC2 instances 99.99% global availability ~5,000 deployments / day

⬇ 75%

Automate quality for better software and reduce production incidents

⬇ 97%

Automate deployment to increase speed and reduce deployment lead times

⬆ 12 to 26

Automate operations for more frequent releases per year

Building Resiliency into the DevOps Cloud

Download and Learn More About Using AI and Automation for Unbreakable CD

DevOps to NoOps in action – automatically across any platform, cloud or stack


Multi-platform monitoring

Automate monitoring – use monitoring strategically as feature of the end-to-end pipeline


Shift-left quality gates

Automate quality (shift-left) – automate the pipeline and stop bad code changes before they reach prod


Shift-right deployment speed

Automate deployment (shift-right) – push “monitoring-as-code” for auto-validation and auto-alerting



Automate operations (self-healing) – auto-mitigate bad deployments in production

"Dynatrace as a company, a technology leader and software organization, made a major transformation from a Waterfall/Agile model towards a DevOps continuous deployment — actually a NoOps model - that greatly helped us to innovate much faster."

Bernd Greifender, CTO, Dynatrace

Leveraging API’s and Dynatrace’s software intelligent platform

Show all supported tool chain technologies

Automate monitoring as a feature of the cloud pipeline

Get 100% observability of your app stack and pipeline, dynamically and automatically with no configuration, to close blind spots and better understand and manage app complexity.


Automate quality with Shift-left quality gates

Build AI-based quality gates along your pipeline to remediate early, release confidently and assure no bad code changes reach production.

From Enterprise DevOps to Cloud Native NoOps

Automate deployment with Shift-right pipeline data

Leverage “Monitoring-as-code” to auto-validate and auto-alert; correlate performance data and analysis to a single problem; alert actions to right teams with root cause and context, not just symptoms.

From Enterprise DevOps to Cloud Native NoOps

Automate operations with self-healing processes

Auto-mitigate bad deployments in production; identify common problems, create triggered auto-remediation actions for resolution; streamline contextual status into collaborative channels such as JIRA and ServiceNow.

user problem issue


The AI paves the way for autonomous operations, enabling us to create auto-remediation workflows that remove the need for human intervention.”
Jonathan Hayes, VP of Global IT Service Excellence at Experian

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