10 Best AI DevOps Tools for Automation, Monitoring and Software Delivery

Category 91: DevOps

1. GitLab — https://about.gitlab.com/

GitLab provides source control, CI/CD, security, DevOps workflows, and AI-assisted software-development capabilities.

2. GitHub — https://github.com/

GitHub combines source-code hosting, automation, Actions, Copilot, security, and collaborative software development.

3. Datadog — https://www.datadoghq.com/

Datadog provides monitoring, observability, security, logs, traces, and AI-assisted operational insights.

4. Dynatrace — https://www.dynatrace.com/

Dynatrace provides AI-powered observability, application monitoring, infrastructure analysis, and cloud operations.

5. New Relic — https://newrelic.com/

New Relic provides observability across applications, infrastructure, logs, browser experiences, and software systems.

6. Harness — https://www.harness.io/

Harness provides software-delivery automation, CI/CD, cloud cost management, feature management, and engineering workflows.

7. PagerDuty — https://www.pagerduty.com/

PagerDuty provides incident management, operational automation, and AI-assisted response workflows.

8. Splunk — https://www.splunk.com/

Splunk provides observability, security analytics, log analysis, and operational intelligence.

9. CircleCI — https://circleci.com/

CircleCI provides continuous integration and delivery automation for software-development teams.

10. Atlassian — https://www.atlassian.com/

Atlassian provides development and operations tools including Jira and related AI-assisted collaboration capabilities.

Conclusion: AI can help DevOps teams identify anomalies and automate repetitive operations, but critical infrastructure changes should retain appropriate controls, monitoring, and human oversight.

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