Software Delivery Agent
What Is a Software Artifact? Meaning, Types & Repositories
In software development, a software artifact refers to any output or result produced during the software development process, such as code files, documentation, executables, or configuration files. This article focuses on the importance of managing and maintaining artifacts throughout the software development lifecycle.
What Is Terraform? Uses, How It Works & Examples
Terraform is a cloud-agnostic Infrastructure as Code (IaC) tool that lets teams define, provision, and manage infrastructure using declarative code instead of manual setup. In this blog, you’ll learn what Terraform is, how it works, and when to use it. You’ll also explore its key components, use cases, and how it compares to other tools plus why OpenTofu has emerged as its open-source successor.
What Is Agile Delivery? Principles, Frameworks & Benefits
You will learn what Agile delivery methodology entails, including how it fosters incremental development, feedback loops, and cross-functional collaboration. By understanding its principles, frameworks, and best practices, you’ll be equipped to implement Agile for faster value delivery and improved team morale.
SOX Compliance for Software Development & Delivery
SOX compliance doesn't have to be a bottleneck. By embedding automated controls, policy enforcement, and audit trails directly into the CI/CD pipeline, teams can meet strict regulatory requirements without sacrificing speed. This transforms compliance from a manual, after-the-fact hurdle into an integrated, seamless part of the development lifecycle, ensuring both velocity and governance.
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Top Code Repository Tools and How to Choose One
Code repository tools play a pivotal role in modern software development by providing a structured way to store, track, and manage code changes over time. They form the backbone of DevOps workflows, facilitating collaboration, version control, and streamlined delivery. This article explores the essentials of code repository tools, highlights best practices, and discusses how AI-driven platforms like Harness are revolutionizing software delivery.
Database Change Management: From Ticket Queues to Pipelines
The takeaway here is that teams get into trouble when they automate a risky process just to run it faster. Teams that pair schema as code, backward-compatible application changes, visibility into what is deployed where, and policy-governed pipelines tend to ship faster and break less.
CI vs. CD vs. Continuous Deployment: Demystifying the Delivery Pipeline
CI automates code integration, builds, testing, and security checks to catch issues early. Continuous Delivery keeps software production-ready while requiring a manual approval before release. Continuous Deployment removes the manual gate and automatically deploys successful changes to production. Continuous Deployment requires mature testing, observability, progressive delivery, feature flags, and automated rollbacks. For most teams, Continuous Delivery is the pragmatic target, balancing release automation with business and compliance requirements. Teams should move toward Continuous Deployment only when their automated guardrails are trusted and reliable.
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What is Continuous Integration? A Comprehensive Overview
CI is frequent integration + automated verification, so teams merge small changes into a shared repository and validate every change automatically to catch issues early. Fast, trustworthy feedback is the goal, which means optimizing pipelines for speed and signal quality with small PRs, reliable tests, safe caching, and clear failure reports. CI is the foundation for modern delivery, because consistent builds, tests, artifacts, and traceability make it easier to scale governance, strengthen security, and move toward continuous delivery.
Unit Testing vs Integration Testing: Key Differences and Best Practices
Unit vs Integration Testing: Differences & Best Practices
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