Building Resiliency into the DevOps Cloud
Using AI and Automation for Unbreakable Continuous Delivery
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
1
Multi-platform monitoring
Automate monitoring – use monitoring strategically as feature of the end-to-end pipeline
2
Shift-left quality gates
Automate quality (shift-left) – automate the pipeline and stop bad code changes before they reach prod
3
Shift-right deployment speed
Automate deployment (shift-right) – push “monitoring-as-code” for auto-validation and auto-alerting
4
Self-healing
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
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.
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.
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.
Experian
The AI paves the way for autonomous operations, enabling us to create auto-remediation workflows that remove the need for human intervention.”
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