Operations | Monitoring | ITSM | DevOps | Cloud

Harness Dynamic Pipelines: Complete Adaptability, Rock Solid Governance

Harness Dynamic Pipelines offers an option to create pipelines, or pipeline stages, at runtime For a long time, CI/CD has been “configuration as code.” You define a pipeline, commit the YAML, sync it to your CI/CD platform, and run it. That pattern works really well for workflows that are mostly stable. But what happens when the workflow can’t be stable? In all of those cases, forcing teams to pre-save a pipeline definition, either in the UI or in a repo, turns into a bottleneck.

Building the Next Phase of Harness's AI Engineering Organization in India

Over the past year, Harness’s India organization has entered a new phase of growth – one defined not just by scale, but by increasing technical depth and impact. What began as steady expansion has turned into real momentum across engineering, product, and operations. Today, 480 people work in India, contributing across every major product area. In 2025 alone, the team in India grew by more than 75%, and now each core Harness product offering has a strong engineering presence in the region.

Harness AI For Everything After Coding

AI didn’t just change how we write code. It changed everything that comes after. Application teams are shipping more code than ever with AI — but 70% of the work still happens after coding: testing, security, deployment, optimization, and keeping everything moving. As coding gets faster, delivery becomes the bottleneck. That’s where Harness comes in.

CTO Predictions for 2026: How AI Will Change Software Development | ShipTalk S4E7 Special Episode

In this special ShipTalk episode, host Dewan Ahmed (Principal Developer Advocate, Harness) sits down with @Harnessio Field CTO Nick Durkin for spicy—but practical—2026 predictions across AI, software delivery, DevSecOps, MLOps, and developer experience. Will we see the first “AI-caused meltdown”? Are AI “confidence scores” even trustworthy? Is 2026 the year of AI cleanup crews and recovery engineering? Nick’s take: the answer isn’t more gates—it’s guardrails, policy in the pipeline, and teams operating with the same “rulebook.”

CTO Predictions for 2026: Special ShipTalk Episode with Nick Durkin

AI will not fix broken software delivery. It will expose it. By 2026, teams that win will use specialist AI agents, guardrails over gates, and security built directly into the pipeline. As we look toward 2026, it is becoming clear that AI is not just changing how code is written. It is changing how software delivery itself works. The real shift is happening at the intersection of AI, security, and developer experience, where speed, risk, and responsibility now collide.

Theory to Turbulence: Building a Developer-Friendly E2E Testing Framework for Chaos Platform

Chaos fault validation must be safe, predictable, and measurable. High setup friction blocks adoption and slows feedback loops. API-driven execution beats manual YAML workflows. Real-time logs and smart target discovery speed debugging. Dual-phase validation ensures impact and recovery. Strong DX enables faster, scalable chaos testing. As an enterprise chaos engineering platform vendor, validating chaos faults is not optional — it’s foundational.

ShipTalk S4E6 | Beyond the Magic Box: Solving AI Hallucinations with Precision RAG

In this episode of the ShipTalk Podcast, host Dewan Ahmed (Principal Developer Advocate at Harness) sits down with Evgeny Ilinykh (Founder of GuidedMind.ai and former Tesla Engineering Manager) to move past the AI hype and get into the engineering reality of Retrieval-Augmented Generation (RAG). If your AI agents are hallucinating, the problem probably isn't your model—it’s your retrieval layer. Evgeny breaks down how to turn the "black box" of LLMs into a transparent, production-ready system that developers can actually trust.

Knowledge Graph + RAG: A Unified Approach to DevOps Intelligence

Knowledge graphs and RAG (Retrieval-Augmented Generation) are complementary techniques for enhancing large language models with external knowledge, and each brings unique strengths for DevOps use cases. While they are often mentioned together, they are fundamentally different systems, and combining them delivers far better outcomes than relying on either approach alone.

How Enterprises Modernize and Migrate to the Cloud Safely with Harness Automation

Cloud migration is a multi-layer transformation involving infrastructure, CI/CD, governance, security, and cost management—not just application movement. Enterprises face unique migration challenges due to complex systems, parallel cloud operations, compliance requirements, and tool sprawl. Automation and standardization are critical to reducing risk, manual effort, and operational inconsistency during cloud-to-cloud migrations.

Harness Database DevOps Now Supports Google AlloyDB

Harness Database DevOps now natively supports Google AlloyDB, enabling enterprises to manage PostgreSQL-compatible schema changes with CI/CD, GitOps, and policy-driven governance. Teams gain faster, safer, and fully auditable database delivery while reducing operational risk and manual overhead across environments. As organizations double down on cloud modernization, Google Cloud’s AlloyDB for PostgreSQL is quickly becoming the preferred engine for mission-critical applications.

Capture and Use Network Response Data in AI Powered Testing

Learn how to capture and use response data from network calls to build smarter and more reliable AI-driven tests. This walkthrough covers the full workflow from configuring user actions to extracting backend responses, validating data, and creating dynamic test flows. You will also see how response data improves debugging visibility and supports data-driven automation. The video includes Ideal for developers, testers, and platform engineers looking to improve the accuracy and resilience of AI-powered test suites.

Accelerating Our Mission to Bring AI to Everything After Code

Since launching Harness in 2017, we’ve been on a mission to unlock faster innovation by removing the bottlenecks that slow software engineering teams down. From day one, we believed that the biggest obstacles in engineering weren’t in writing code — they were in everything that followed.

How Self-Service Workflows Transform Developer Productivity

Forget the ticket queues and slow handoffs. Harness Workflows let developers spin up services, environments, and everyday ops tasks in minutes. It’s self-service that’s fast, safe, and actually fun to use. A developer once told me, half-joking and half-frustrated, “I spend more time waiting than coding.” It wasn’t the dramatic kind of waiting, like an hour-long debugging session or a blocked deployment at midnight.

How ADP Modernized Feature Delivery With Harness (105% ROI Case Study)

In this customer success story, ADP leaders share how Harness Feature Management enabled them to move faster, innovate safely, and scale to millions of daily users across MyADP and the ADP Mobile app. Featuring: Chris Davis, VP of Development for MyADP & ADP Mobile Josh Steverson, Principal Engineer Patrick Laughlin, Principal Application Developer The Challenge ADP relied on multiple internally built systems — different tools for mobile, web, trunk-based development, and config.

DBA vs Developer Dynamics: Bridging the Gap with Database DevOps

Developer velocity and DBA caution are not opposing forces, they reflect two essential priorities that historically lacked a shared process. Database DevOps eliminates tension by introducing automated validation, approvals, and visibility that allow developers to move fast while DBAs safeguard performance and reliability. With platforms like Harness, database change becomes a collaborative workflow instead of a conflict, turning release cycles into a partnership built on trust and predictability.

Harness AI November 2025 Updates: AWS Integration, Database DevOps, & Enterprise-Grade AI Across the SDLC

November was another big month for Harness AI, with new capabilities that deepen our work with AWS, bring AI-native automation to the database, and keep our model stack on the cutting edge across the SDLC.

Protect Against Critical Unauthenticated RCE in React & Next.js (CVE-2025-55182) with Traceable WAF

A critical, unauthenticated Remote Code Execution (RCE) vulnerability, CVE-2025-55182, has been discovered in React Server Components and Next.js with the maximum severity rating of 10.0. The article highlights that Traceable by Harness WAF provided immediate, proactive protection against this vulnerability class through multi-layered defenses like Server Side Template Injection (SSTI) and Node.js Injection attack rules, even before the CVE was officially disclosed.

Secure by Default: Why AI-Driven Delivery Needs a Rethink

AI speeds delivery but expands risk. Teams need context, verification, behavior detection, and learning to stay secure by default. Software delivery has been accelerating for more than a decade, and the arrival of AI has pushed us into an entirely new velocity class. Code generation, configuration scaffolding, infrastructure suggestions, remediation hints, and deployment decisions now involve AI. It participates in every stage of the delivery pipeline. On the surface, this feels like progress.

Terraform Variable Management at Scale: Centralizing IaC with Variable Sets and Provider Registry in Harness IaCM

This article examines how enterprises can eliminate configuration drift, strengthen security, and streamline Terraform and OpenTofu workflows through centralized variable management and secure provider distribution. It highlights how Harness IaCM’s Variable Sets and Provider Registry bring consistency, governance, and automation to IaC at scale while transforming how platform teams manage configuration, secrets, and custom integrations across every environment.

Database DevOps vs. Database Migration Systems and Why You Need Both

Database DevOps and migration systems solve different parts of the same workflow - one enables collaboration, governance, and automation while the other delivers structured, versioned schema execution. Using both eliminates release friction by aligning developers, DBAs, and CI/CD pipelines with full auditability and rollback safety. Harness converges these capabilities to make database changes seamless, compliant, and production-ready by design. Every developer knows this story.

Harness and Amazon Team Up to Bring AI-Powered DevOps to Your IDE

Today, we’re excited to announce our expanded partnership with Amazon, bringing together the power of Amazon Kiro, Amazon Q Developer, and Harness SaaS on AWS to revolutionize how your team builds, troubleshoots, secures, and deploys software. This collaboration is designed to deliver a seamless, intelligent, and scalable software delivery experience for all AWS customers.

Staging Environments Explained: Why Staging Is Essential for Safe, Reliable Software Releases

A staging environment is the final checkpoint before any software update goes live, a production-like space where bugs, performance issues, and integration failures can be caught before they impact real users. In this video, we break down what a staging environment is, why it’s critical, and how it helps ensure smooth, predictable deployments.

ShipTalk S4E5 | How to Build Real-World ML for 2D Drawings | Marina Petzel (Senior ML Engineer)

What does it actually take to ship AI into a 40+ year old product used by millions of professionals? In this episode of ShipTalk, Dewan Ahmed (Principal Developer Advocate, Harness) chats with Marina Petzel, Senior ML Engineer and AI Productivity Lead at Autodesk, about building and shipping practical AI, not just flashy demos.

Make Data-Driven Decisions with Warehouse Native Experimentation

As organizations accelerate their AI-driven development, the need for trustworthy and transparent experimentation is greater than ever. Warehouse Native Experimentation keeps analysis where the data already lives, enabling teams to validate features with metrics and reliable SQL logic. The result is faster iteration with less risk, and decisions rooted in the same source of truth the business already trusts.