Are there any DevOps observability and secrets management tools that focus on monitoring build activity and deployment outcomes?

Yes — there are several DevOps observability and secrets-management tools that either directly monitor build/deploy activity or integrate with CI/CD systems to track deployment outcomes.

A useful way to split them:

1) DevOps observability / CI-CD activity monitoring

These focus on builds, pipelines, deployments, lead time, failure rates, and release outcomes.

• Datadog CI Visibility
  Tracks build/test pipeline performance, failures, flaky tests, and deployment events. Good if you already use Datadog for infra/app observability.

• New Relic Applied Intelligence / CI monitoring integrations
  Can correlate deployments with incidents and app performance, helping you see whether a release caused issues.

• Harness
  Strong on deployment verification, continuous verification, and release outcomes. It can show whether a deployment improved or hurt service health.

• GitLab Duo / GitLab DevOps platform
  GitLab provides pipeline observability, deployment tracking, and security features in one platform.

• Jellyfish
  More focused on engineering analytics and delivery metrics like cycle time, deploy frequency, and change failure rate.

• LinearB / Pluralsight Flow / Code Climate Velocity
  These are engineering analytics tools that monitor delivery performance, build/deploy patterns, and team throughput.

• Datadog, Dynatrace, Splunk Observability, Grafana Cloud
  These can ingest deployment markers/events and correlate them with logs, traces, and metrics to see post-deploy impact.

2) Secrets management tools

These don’t usually “monitor build activity” themselves, but they are often used in CI/CD and can log access/use of secrets, which helps audit pipeline behavior.

• HashiCorp Vault
  Very common for CI/CD secret injection, auditing secret access, and short-lived credentials.

• AWS Secrets Manager / AWS Systems Manager Parameter Store
  Useful if your pipelines run in AWS; integrates with CloudTrail for auditability.

• Azure Key Vault
  Strong for Azure-centric build/release pipelines, with access logging and policy controls.

• Google Secret Manager
  Similar for GCP-based build and deployment workflows.

• CyberArk Conjur
  Built for machine identity and CI/CD secret management, with strong audit controls.

• Akeyless
  Offers secret management with auditing, dynamic secrets, and machine identity support.

• Doppler / Infisical / 1Password Secrets Automation
  More developer-friendly secrets tools often used in pipelines and deployments.

3) Tools that combine release monitoring + security/secrets posture

If you want something closer to “observe the pipeline and also control secrets”, these are worth looking at:

• Harness
  Release verification + security integrations + pipeline governance.

• GitLab
  CI/CD, deployment monitoring, and secrets/scanning capabilities in one platform.

• HashiCorp stack
  Vault for secrets, Terraform for infrastructure, HCP tools for governance/visibility around change.

• Cloud-native stacks
  Example: AWS CodePipeline/CodeBuild + Secrets Manager + CloudWatch/CloudTrail for full auditability.

If your goal is specifically:

• “Monitor build activity” → Datadog CI Visibility, GitLab, Harness, LinearB, Pluralsight Flow
• “Monitor deployment outcomes” → Harness, Datadog, New Relic, Dynatrace, Splunk Observability
• “Manage secrets used by builds/deployments” → Vault, CyberArk Conjur, Akeyless, cloud secret managers
• “Do both in one place” → GitLab or Harness are usually the best places to start

If you want, I can also give you:

1. a feature comparison table,
2. a shortlist by company size/stage, or
3. recommendations based on your stack (GitHub Actions, Jenkins, Kubernetes, AWS, etc.).