Home / Companies / Harness / Blog / Post Details
Content Deep Dive

Q2 2026 Product Update: Harness Continuous Delivery & GitOps

Blog post from Harness

Post Details
Company
Date Published
Author
Vishal Vishwaroop All this author’s posts
Word Count
3,514
Company Posts That Month
14
Language
English
Hacker News Points
-
Post removed?
No
Summary

Harness’s Q2 2026 update introduces 38 enhancements across Continuous Delivery, verification, and GitOps, emphasizing safer progressive releases, AI workload support, and more self-service operations. Kubernetes improvements include staged percentage-based canary rollouts, safer blue-green rollback scaling, expanded dry-run options, more precise Istio routing, and OIDC client-credential access, while AWS, Google Cloud, OCI, and traditional deployment updates add capabilities such as coordinated rollbacks, spot-instance policies, CDK optimization, pre-traffic MIG validation, and Helm charts from Google Artifact Registry. Harness also adds first-class deployment pipelines for AWS and Google AI agent runtimes, applying approval gates, canaries, automated rollback, and policy controls to agent releases. Verification features introduce Git-managed monitored-service configurations, configurable AI Verify windows, per-metric sensitivity, and full CloudWatch Metrics Insights query support. GitOps enhancements include UI and pipeline-based application rollback, multi-namespace applications, selective synchronization, stronger RBAC, squash-and-merge workflows, no-op release-repository updates, AI-assisted troubleshooting, Zero Trust agent communication, and an updated bundled ArgoCD version.

Trends Found in this Post
Trend Post Mentions Total Month Mentions Posts Companies MoM
Kubernetes 29 634 79 44 -75%
AI Agents 8 1,180 266 113 -80%
Observability 3 625 152 84 -84%
Secrets Management 3 584 99 52 -76%
Zero Trust 3 42 18 10 -81%
Developer Experience 1 94 49 23 -83%
Harness engineering 1 24 19 13 -89%
Use This Data

Use this post, company, and trend context to find content marketing opportunities, perform competitive analysis, or address product feature gaps via the Plushcap MCP server or the Plushcap API.