For the complete documentation index, see llms.txt. This page is also available as Markdown.

Continuous Delivery & GitOps

Explore planned Continuous Delivery and GitOps capabilities and enhancements.

This page tracks planned capabilities and enhancements for Continuous Delivery and GitOps.

Now

Q3 2026, Aug 2026 - Oct 2026

Deployment

Native AI Agent Deployment

Deploy AI agents natively to Google Agent Runtime and AWS Agent Core, with Evals available as a built-in pipeline step. Includes automatic Gateway provisioning for AWS Agent Core deployments and Agent Identity support for both Google and AWS agent platforms.

Deployment

Kubernetes Cluster Observability Dashboard

Users can visualize and monitor Kubernetes cluster resources with a Lens-like observability tool, providing real-time insights into cluster health, resource utilization, and deployment status.

DeploymentGitOps

Applications in Harness CD

Users get an application view in Harness CD, created automatically from their existing services, environments, and deployment history.

Deployment

Service Configuration Drift Detection and Reconciliation

Users can detect and reconcile configuration drift between deployed services and their desired state, maintaining deployment consistency and preventing configuration mismatches across environments.

Deployment

Pod Status and Logs in Pipeline Execution

Users can see every Kubernetes pod created, updated, or deleted by a deployment, with its status and logs, in the pipeline execution view — during the rollout and after it completes.

Deployment

Salesforce Org Maps

Users can visualize relationships between Salesforce orgs, compare configuration diffs between connected orgs, select specific diffs to publish to a branch, and deploy the branch to target orgs for streamlined multi-org management.

Continuous Verification

Change Advisor in Harness

AI-powered risk assessment for changes that automatically generates risk scores, enables low-risk changes to proceed automatically, and flags high-risk changes for additional scrutiny to reduce downtime and increase release velocity.

GitOps

Visualization of GitOps Promotion Flows

Users can view deployment status of GitOps applications across multiple environments, directly within Harness CD and GitOps, through Release Orchestration, providing enhanced visibility into promotion workflows and deployment steps.

GitOps

GitOps Promotion Steps

Users can implement GitOps promotion workflows using pre-built promotion steps, reducing configuration effort and standardizing progressive delivery patterns across environments.

GitOps

Migration of GitOps Applications Between Agents

Users can rebalance and migrate GitOps applications from one agent to another, enabling better load distribution and agent maintenance without disrupting deployments.

Pipeline

Conditional and Dependent Inputs in Runtime Forms

Users can configure runtime input forms where fields are dynamically disabled or hidden based on variable selection, creating intelligent forms that adapt to user choices and reduce input errors.

Pipeline

Nested Template Composition

Users can insert stage templates within pipeline templates that themselves support step insertion, enabling modular pipeline architectures with Pipeline Template → Stage Template → Insert Steps composition.

OPA

OPA Version Upgrade to Support Rego v1

Users can leverage OPA Rego v1 language features and improvements, including enhanced performance, improved syntax, and better policy authoring capabilities.

Release Orchestration

Orchestration Queue Rollout

Users can manage release execution queues with prioritization, throttling, and coordination across multiple concurrent releases for better resource management.

Release Orchestration

Fine-Grained Role-Based Permissions

Users can configure granular role-based access controls for Release Orchestration entities, enabling precise permission management at entity level for improved security and governance.

Release Orchestration

OPA Policy Support for Release Orchestration

Users can enforce OPA policies on Release Orchestration workflows, changesets, and processes, ensuring governance and compliance throughout the release lifecycle.

Release Orchestration

Dependency Management in Changesets

Users can define and manage dependencies between changesets, ensuring correct execution order and preventing conflicts in release workflows.

Release Orchestration

Artifact Tracking and Changesets

Users can automatically track container images produced by build pipelines and compute changesets between versions — including commit diffs and linked Jira or ServiceNow tickets — giving full traceability into what changed across each release.

Next

Q4 2026, Nov 2026 - Jan 2027

GitOps

Hosted GitOps

Users can leverage fully hosted GitOps agents managed by Harness, eliminating the need for self-managed agent infrastructure.

GitOps

AI Powered Imports of Applications

Use the power of AI to create and assign related resources to GitOps Applications as they are imported.

Continuous Verification

GitX Integration

Users can integrate GitX with Continuous Verification (CV) for Git-based verification configuration management.

Continuous Verification

AI Agent Based Continuous Verification

Users can utilize AI agents for intelligent continuous verification of deployments with adaptive learning.

Continuous Verification

Support for AWS CloudWatch Logs

Users can configure AWS CloudWatch logs as a health source for continuous verification and log-based anomaly detection.

Continuous Verification

OIDC Support

Users can enable OIDC authentication for continuous verification health sources, improving security and access management.

Continuous Verification

Prometheus Default Health Source for Continuous Verification

Users can deploy with continuous verification using Prometheus as a built-in default health source without additional configuration.

Continuous Verification

Continuous Verification Support for Traffic Shifting Offerings

Users can use verify step with Harness deployment workflows that use traffic shifting strategies like canary and blue-green.

OPA

Template Verification

Users can validate and enforce OPA policies for templates, ensuring governance at the template level.

OPA

Support for Runtime Contexts

Users can create and enforce OPA policies that adapt to runtime contexts and dynamic conditions.

OPA

Improve OPA Onboarding Wizard

Users can leverage OPA onboarding wizard to simplify policy creation, configuration, and enforcement.

Later

Q1 2027 and beyond

Deployment

Advanced Deployment Strategies

Extended support for sophisticated deployment patterns including progressive delivery, shadow deployments, and multi-region orchestration.

GitOps

GitOps Advanced Automation

Further automation capabilities for GitOps workflows including intelligent drift detection, auto-remediation, and predictive scaling.

Continuous Verification

Advanced AI-Driven Verification

Next-generation AI capabilities for continuous verification including predictive anomaly detection and automated root cause analysis.

Release Orchestration

Multi-Cloud Orchestration Enhancements

Enhanced capabilities for orchestrating deployments across multiple cloud providers with unified policies and governance.

Release

Q2 2026 and earlier

Deployment

Native Progressive Rollout Strategy with Percentage-Based Deployment Control

Users can deploy new application versions incrementally using percentage-based phasing (e.g., 10% → 25% → 50% → 100%) with manual or automated verification gates between phases, progressively replacing existing pods without doubling infrastructure resources.

Deployment

Cloud Delegate Based Salesforce Deployments

Users can deploy Salesforce releases using cloud delegates, eliminating the need for self-hosted delegate infrastructure while maintaining full deployment capabilities.

Deployment

Preconfigured Package.xmls for Salesforce Deployments

Users can use out-of-the-box package.xml templates for common Salesforce deployment scenarios, eliminating the need to manually configure package files for each deployment type.

Deployment

Native Agent Deployment Support

Users can deploy AI agents natively within Harness CD pipelines, enabling intelligent automation and decision-making throughout the deployment lifecycle.

Continuous Verification

Git Experience Support for Monitored Services

Users can manage Monitored Services through Git, enabling Git-based change management, version control, and approval workflows for CV configurations.

Continuous Verification

AI Verify V2

AI Verify reaches full feature parity with traditional verification, bringing AI-powered deployment verification to all supported health sources and deployment types.

GitOps

GitOps Integration with Argo Projects

Full CRUD and import support for ArgoCD App Projects in Harness, including UI for managing project settings such as repository access, cluster access, sync windows, and orphaned resources.

GitOps

Allow Harness Secrets in GitOps Applications

Users can securely reference and use Harness secrets within GitOps application manifests and configurations, integrating with Harness secret management.

GitOps

AI Supported Remediation

Users can leverage AI-powered recommendations to remediate GitOps deployment issues and failures with intelligent suggestions.

OPA

OPA Data on Dashboard

Users can view comprehensive OPA policy analytics on a dedicated dashboard, including policy violations and warnings over time, user triggers, policy names and severity, associated pipelines, and filtering capabilities.

OPA

OPA GitX Consistency for Git-Backed Entities

Users can ensure OPA policies are enforced on Git-backed entities even when changes are made directly to Git branches, preventing policy bypass scenarios.

OPA

Rego Editor Validation and Testing

Users can validate and test Rego policies directly within the Policy testing screen with syntax highlighting, indentation error detection, and inline validation without external tools.

Release Orchestration

Queue Activity Support

Users can consolidate execution of pipelines, finalize outputs, and execute processes based on approved queued outputs for better control over release workflows.

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