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//Deployments

Code deployments forthe autonomous SDLC.

The Software Delivery Agent builds continuous delivery pipelines, runs them, and fixes what breaks. Your policies provide strict guardrails, so every deployment is fast and safe.

  • Release orchestration

    Agents orchestrate releases

    Worker Agents orchestrate the entire deployment lifecycle so you can move fast with governed execution.

  • Verification

    Protect every deployment

    Every canary and blue-green deployment is measured against your baseline. When something deviates, it acts before users notice.

  • Enterprise GitOps

    Scale Argo CD

    One pane of glass to manage thousands of applications across multiple clusters.

//Overview

What is continuous delivery (CD)?

Continuous delivery (CD) is the practice of keeping software always releasable and deploying it through automated, repeatable pipelines with verification and rollback, so releases are routine rather than risky events.

DataObserve Developer's Software Delivery Agent builds CD pipelines from templates, orchestrates releases across services and clouds, verifies each deployment with AI and rolls back automatically on regressions. It scales Argo CD for enterprise GitOps and deploys AI agents natively.

//The CD control plane

Fast and safe, from single-service canaries to multi-cloud

  • AI pipeline builder

    Describe what you want to deploy in plain language. AI generates a production-grade pipeline in seconds.

  • AI verification & rollback

    Every rollout checked against your observability tools, and rolled back before users feel it.

  • Deploy anything, anywhere

    Kubernetes, serverless, multi-cloud, on-prem VMs, mainframe, or managed agent runtimes on one pipeline model.

  • Reusable templates

    Define golden paths once. Teams self-serve with versioned, governed pipeline templates.

  • Policy as Code governance

    Approval gates, freeze windows, and immutable audit trails built into every pipeline.

  • Native deployments for AI agents

    Deploy agents to Google Agent Runtime and Amazon Bedrock AgentCore like any other workload.

//Explore more withDataObserve

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  • AI DLC

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  • Agent DLC

    Agent DLC is the development lifecycle for AI agents, extending the pipelines, governance, and controls you already trust for code to the full agent lifecycle.

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//FAQs

Deployments: questions teams ask

  • What is progressive delivery?

    Gradually introducing software to users, with feature flags, canary releases, blue-green deployments, and automated rollbacks working together.

  • What's the difference between CI and CD?

    CI builds and tests every commit. CD prepares and reliably releases tested code through environments into production.

  • What is GitOps?

    Git as the single source of truth for infrastructure and deployments, here with a central control plane over Argo CD.

  • Can it deploy databases and stateful services?

    Yes. Schema migrations run as pipeline stages, aligned with applications and verified and rolled back together.

  • What deployment strategies are supported?

    Rolling, blue-green and canary deployments, plus progressive delivery with feature flags, each with automated verification and rollback.

  • Does it work with Argo CD?

    Yes. DataObserve Developer adds central management, policy and visibility on top of Argo CD for GitOps at enterprise scale.

  • What is AI deployment verification?

    After a release, the agent compares health signals such as errors and latency against the previous version and rolls back automatically if they regress.

// Designed for enterprises

We safeguard your company data and protect workspace privacy.

Review security, data handling and deployment requirements with our team.

  • Security and privacy

    Keep sensitive information within your organization’s approved data boundaries.

  • Governance and access

    Define who can access connected data and which actions require approval.

  • Enterprise deployment

    Plan deployment around your infrastructure and operational requirements.

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