Build a Custom DevOps Dashboard Using AI in Minutes
Turn a plain-English description of your Devops Dashboard into a production-ready build, from design to deployment, in minutes. No code needed.
Trusted by Builders Worldwide
Active Builders Worldwide
Apps Successfully Created
Countries Globally Reached
Emergent Key Features for Building a DevOps Dashboard
Commits followed through build, deployment and incident, which is what makes the four delivery measures calculable.
Commit to Production Tracing
Changes are followed through build and deployment, which is what makes lead time a real measurement rather than an estimate.
Change Failure Attribution
Deployments are linked to incidents that followed, so failure rate is derived from evidence rather than from recollection.
Percentile Lead Time
Lead time is reported at the 90th percentile as well as the median, exposing the changes that take weeks while the average looks healthy.
Flaky Pipeline Detection
Intermittently failing steps are identified, targeting the unreliability that trains a team to rerun builds without investigating.
Batch Size Measurement
Changes per deployment are counted, because large batches are usually the underlying cause of both slow lead time and risky releases.
Service Level Comparison
Every measure splits by service, showing which parts of the estate carry the operational load and which deliver smoothly.
DevOps Dashboard Use Cases You Can Build in Minutes
Measure Delivery Instead of Debating It
Deployment frequency per service per week, lead time from commit to production at median and ninetieth percentile, change failure rate as deployments causing an incident and mean time to restore, each trended over six months.
window.awbMockup = { deliveryPerformance: "Build a DevOps dashboard showing deployment frequency per service per week, lead time from commit to production at median and 90th percentile, change failure rate as deployments causing an incident, and mean time to restore service, each trended over six months with comparison between services.", pipelineHealth: "Build a continuous integration dashboard showing build success rate by pipeline and branch, average and longest pipeline duration with the slowest stages, builds failing repeatedly for the same reason, flaky steps causing intermittent failures, queue wait time before builds start, and pipeline cost where measurable.", deploymentActivity: "Build a deployment dashboard showing every deployment by service, environment, version and author with timestamp, deployments rolled back with reason, time between deployments per service, deployments outside working hours, batch size as changes included per deployment, and services not deployed in 30 days.", incidentAndRecovery: "Build a reliability dashboard showing incidents by service and severity, time to detect, acknowledge and resolve, incidents linked to a preceding deployment, recurring incident causes, error budget consumed per service against its objective, and the services generating most operational load."};
Fix the Pipelines That Teach People to Rerun
Build success rate by pipeline and branch, average and longest duration with the slowest stages, builds failing repeatedly for the same reason, flaky steps causing intermittent failures and queue wait before builds start.
window.awbMockup = { deliveryPerformance: "Build a DevOps dashboard showing deployment frequency per service per week, lead time from commit to production at median and 90th percentile, change failure rate as deployments causing an incident, and mean time to restore service, each trended over six months with comparison between services.", pipelineHealth: "Build a continuous integration dashboard showing build success rate by pipeline and branch, average and longest pipeline duration with the slowest stages, builds failing repeatedly for the same reason, flaky steps causing intermittent failures, queue wait time before builds start, and pipeline cost where measurable.", deploymentActivity: "Build a deployment dashboard showing every deployment by service, environment, version and author with timestamp, deployments rolled back with reason, time between deployments per service, deployments outside working hours, batch size as changes included per deployment, and services not deployed in 30 days.", incidentAndRecovery: "Build a reliability dashboard showing incidents by service and severity, time to detect, acknowledge and resolve, incidents linked to a preceding deployment, recurring incident causes, error budget consumed per service against its objective, and the services generating most operational load."};
See the Batch Size Behind Slow Delivery
Every deployment by service, environment, version and author with timestamp, deployments rolled back with reason, time between deployments per service, out of hours deployments and changes included per deployment.
window.awbMockup = { deliveryPerformance: "Build a DevOps dashboard showing deployment frequency per service per week, lead time from commit to production at median and 90th percentile, change failure rate as deployments causing an incident, and mean time to restore service, each trended over six months with comparison between services.", pipelineHealth: "Build a continuous integration dashboard showing build success rate by pipeline and branch, average and longest pipeline duration with the slowest stages, builds failing repeatedly for the same reason, flaky steps causing intermittent failures, queue wait time before builds start, and pipeline cost where measurable.", deploymentActivity: "Build a deployment dashboard showing every deployment by service, environment, version and author with timestamp, deployments rolled back with reason, time between deployments per service, deployments outside working hours, batch size as changes included per deployment, and services not deployed in 30 days.", incidentAndRecovery: "Build a reliability dashboard showing incidents by service and severity, time to detect, acknowledge and resolve, incidents linked to a preceding deployment, recurring incident causes, error budget consumed per service against its objective, and the services generating most operational load."};
Link Incidents Back to What Shipped
Incidents by service and severity with time to detect, acknowledge and resolve, incidents linked to a preceding deployment, recurring incident causes, error budget consumed per service and the services generating most operational load.
Link Incidents Back to What Shipped
Incidents by service and severity with time to detect, acknowledge and resolve, incidents linked to a preceding deployment, recurring incident causes, error budget consumed per service and the services generating most operational load.
Build a custom DevOps dashboard in 4 simple steps
Track deployment frequency, lead time, change failure rate and recovery time in one view, so delivery performance is measured rather than debated.
Start with deployment frequency, lead time from commit to production, change failure rate and time to restore service, plus pipeline duration and build reliability. Emergent builds around your services and environments.
Link your version control, continuous integration system, deployment records and incident tracker. Emergent traces a change from commit through build and deployment to any incident that followed, which is what makes these measures calculable.
Ask to add a service, alter how lead time is measured, change what counts as a failed change or add an environment, and every measure rebuilds consistently.
Publish one link where engineers see pipeline health and leadership sees delivery trend. Improvement conversations start from measured performance rather than from impressions of how the last release went.
More things you can build
with Emergent
AI Website Builder
Build and publish responsive websites with AI — from landing pages to complete websites.
AI App Builder
Create and launch mobile apps with AI, without the complexity of traditional app development.
AI Web App Builder
Build and ship fully functional web apps with custom interfaces, logic, and workflows.
AI Dashboard Builder
Create interactive dashboards to visualize data, track KPIs, and manage business operations.
AI SaaS Builder
Build complete SaaS products with user accounts, subscriptions, dashboards, and core product workflows.
AI CRM Builder
Build custom CRMs for managing contacts, leads, pipelines, campaigns, and automated workflows.
AI Agent Builder
Create AI agents that can understand tasks, use tools, automate workflows, and work across your business.
Build Your Own
Start with any idea and build exactly what you need with AI — no templates or limits.
Why choose Emergent?
Most tools give you a demo you have to rebuild. Emergent gives you a product that is ready to run.
| Comparison | Other Tools |  |
|---|---|---|
| Built for | Demos and MVPs | Products you keep growing |
| What you get | Front end shell only | Full stack, wired end to end |
| Backend and database | Set it up yourself | Built and connected for you |
| Customization | Surface level styling | Deep workflow control |
| Integrations and APIs | Manual glue work | Connected from a prompt |
| Code ownership | Locked to the platform | Clean code you can export |
| Time to launch | Weeks of patching and setup | Live the same day |
Pick the Pricing Plan That Works for You
Choose the plan that fits your building ambitions. From weekend projects to enterprise applications, we've got you covered.
No credit card required*
Find the Right Dashboard Builder
for Your Business
Frequently Asked Questions
Your Questions, Answered
Don't change this element unless you know what you are doing
on Emergent today
