Operations | Monitoring | ITSM | DevOps | Cloud

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.

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.

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.