Operations | Monitoring | ITSM | DevOps | Cloud

Software Release Life Cycle Explained: From Planning to Production

Software doesn’t go live overnight. It moves through a structured, repeatable process known as the software release life cycle — from initial planning to deployment and ongoing maintenance. In this video, we break down each stage of the release cycle: planning, development, testing, staging, deployment, and monitoring. You’ll also see how modern tools like Harness help teams automate CI/CD, feature flags, testing, and progressive delivery to ship better software faster and with less risk.

Making Your Business Resilient Against Cloudflare Like Outages

Cloudflare-like outages can cost your business a significant amount of money. This week’s Cloudflare global outage is a wake-up call for business resilience. You can stay resilient against such outages by regularly performing resilience testing and updating your application or infrastructure configurations.

Introducing Native Flyway Support for Harness Database DevOps

Harness Database DevOps has added Flyway support alongside Liquibase, offering teams a choice between structured changelogs and SQL-first migration scripts. This multi-engine approach ensures developers can use their preferred tool while benefiting from centralized governance, automated safety features, and a unified pipeline for all database changes. The goal is to make database delivery safer, more automated, and flexible across the enterprise.

Harness Database DevOps Adds Flyway Support

Harness Database DevOps has added Flyway support alongside Liquibase, offering teams a choice between structured changelogs and SQL-first migration scripts. This multi-engine approach ensures developers can use their preferred tool while benefiting from centralized governance, automated safety features, and a unified pipeline for all database changes. The goal is to make database delivery safer, more automated, and flexible across the enterprise.

Automating Chaos Engineering with Terraform

Automating chaos engineering with Terraform eliminates manual setup across environments by enabling you to version control your entire chaos infrastructure, from service discovery to security governance policies. The Harness Terraform provider supports end-to-end automation including Kubernetes infrastructure setup, custom image registries, Git-based ChaosHub management, and granular security controls that ensure safe experiment execution in production.

Dynamic Stage | Execute a Pipeline within a Stage !

The new Dynamic Stage allows you to import and execute an entire pipeline's YAML definition inside a single stage of your current pipeline. It is essentially running a pipeline within a stage. The pipeline YAML can either be generated and transformed at runtime in a previous stage, or be directly provided to the source input of the Dynamic Stage in encoded form. Dynamic Stages work seamlessly across Harness CI and CD modules.

The AI Visibility Problem: When Speed Outruns Security

Harness surveyed 500 security practitioners and decision makers responsible for securing AI-native applications from the United States, UK, Germany, and France to share findings on global security practices. The State of AI-Native Application Security 2025 dives deep into AI visibility and the changing landscape of security vulnerabilities. If 2024 was the year AI started quietly showing up in our workflows, 2025 was the year it kicked the door down.

Harness Commitment Orchestrator: A Modernized FinOps Experience

Harness has modernized Commitment Orchestrator to give FinOps teams a clearer, faster, and more intelligent way to manage cloud commitments. The redesigned experience unifies visibility across RIs, Savings Plans, on-demand, and Spot usage, with expanded metrics and streamlined workflows for smarter decisions. Built on a foundation for AI-powered insights, it helps teams optimize spend with greater confidence and less manual effort.