| Tag | Title | Description |
|---|---|---|
| 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. |
| Deployment, GitOps | 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. |
| Tag | Title | Description |
|---|---|---|
| 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. |
| Tag | Title | Description |
|---|---|---|
| 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. |
| Tag | Title | Description |
|---|---|---|
| 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. |