Security Testing Agent
What Is Mock Testing? Definition, Types & Examples | Harness
Mock testing is created to replicate the behavior of real components, enabling controlled testing of individual units and their interactions.
What Is a False Positive? Definition, Causes & How to Reduce It | Harness
What is a false positive rate, and how is it calculated? How does it compare to other measures of test accuracy, like sensitivity and specificity?
Diving Deeper into Software Testing Types
Discover the essentials of software testing—functional and non-functional—to improve app performance, reduce bugs, and boost user satisfaction. Learn about unit, integration, end-to-end, and performance testing, plus best practices for manual and automated approaches.
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Why progressive delivery is essential for modern software releases
Progressive Delivery is a modern software release strategy that enables teams to deploy changes safely, incrementally, and with minimal risk. In this article, you will learn what Progressive Delivery is, why it is crucial for modern DevOps practices, and how it enhances software delivery through real-time feedback and data-driven decision-making. You will also dive deeper into the core principles, benefits, challenges, and best practices for implementing Progressive Delivery effectively.
What Is a Staging Environment? The Role in DevOps
A staging environment acts as a final testing ground for software before it reaches production. This article explores how staging fits into the DevOps lifecycle, the architectural considerations involved in building one, and the best practices that ensure it serves its purpose: delivering secure, reliable, and performant releases.
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Overcome System Chaos: Resilience with AI-Driven Chaos Engineering
System chaos is inevitable in today’s complex, distributed software environments. Adopting chaos engineering strategies—especially those enhanced by AI—helps organizations proactively identify vulnerabilities, maintain consistent performance, and deliver reliable services to end-users. This article explores how to understand system chaos, implement chaos engineering tools, and leverage AI-powered platforms like Harness to thrive in the face of continual change.
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Guide to capacity planning for site reliability engineering
Capacity planning in Site Reliability Engineering (SRE) ensures systems are robust, scalable, and cost-efficient. By accurately forecasting resource needs, organizations can maintain high availability while avoiding overprovisioning. In this article, we’ll explore the fundamentals, best practices, and tools you can leverage to stay ahead of capacity demands and streamline your reliability strategy.
Ensure data privacy in feature experimentation for user trust
Data privacy is a cornerstone of feature experimentation, providing the trust and compliance needed to launch new and impactful features. In this article, you’ll learn the significance of protecting user data, common challenges, and how effective privacy strategies help maintain innovation while meeting regulatory demands.
Effective feature release strategies for successful software delivery
Feature release strategies serve as the backbone of modern software delivery. In this article, you will learn how various strategies—from canary releases to blue-green deployments—empower you to deploy changes more effectively, reduce risk, and deliver value faster. Whether you’re part of a small startup or a global enterprise, understanding these approaches ensures stable releases and satisfied users.
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