Operations | Monitoring | ITSM | DevOps | Cloud

What Is Multivariate Testing? A Guide to Experimenting With Multiple Elements

A/B testing is great — but what if you want to optimize more than one thing at a time? That’s where multivariate testing (MVT) comes in. In this video, we break down how MVT works, why it gives you deeper insights than A/B testing, and how you can use it to test multiple page or app elements at once. You’ll learn how to run multivariate tests, when to use them over A/B tests, and how Harness makes this seamless inside your CI/CD pipeline.

What Is a T-Test? A/B Testing with Statistical Confidence

When running A/B tests, how do you know if the results are actually meaningful — or just random chance? That’s where the t-test comes in. In this video, we explain how t-tests help you evaluate whether changes in conversion rates, engagement, or performance metrics are statistically significant. You’ll learn how they work, when to use them, and why they’re essential for making confident product, marketing, and engineering decisions.

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.

What Enterprise Leaders Must Know About Operationalizing Agentic AI

Reports by Gartner say that over 40% of agentic AI projects may be discontinued by 2027, primarily due to unverified costs, vague business value, and weak risk governance. Most business leaders can already see the risk. Or the opportunity. That’s not the problem; the problem is what happens after - the effectiveness of process execution. Anushree Verma, Senior Director Analyst at Gartner, said: Execution latency is now the most expensive form of operational waste.

SaaS Monitoring Best Practices

SaaS Monitoring is the process of continuously tracking the performance, availability, and reliability of Software-as-a-Service (SaaS) applications to ensure they operate efficiently and deliver the best possible user experience. In an era where organizations depend heavily on cloud-based tools for communication, project management, and analytics, maintaining optimal SaaS performance is more critical than ever.

The Future of IT Monitoring: How Smart Alerts and Automation Drive Faster Response

Many IT teams rely on monitoring tools that reveal what is happening but do little to guide next steps. Dashboards show spikes, alerts fire nonstop, and yet issues still take too long to resolve. Traditional monitoring focuses on visibility, but visibility alone no longer matches the speed or complexity of modern digital operations.

Intelligent IT Operations: How Modern Teams Achieve Faster Response and Always On Reliability

IT environments look very different from what they were a few years ago. Applications now run across hybrid clouds, systems update constantly, and users expect services to be available at all times. Despite this shift, many IT teams still depend on manual workflows and disconnected tools that slow down response and make it difficult to maintain reliable operations. Modern IT operations require more than basic monitoring or traditional ticketing systems.

MTTR Explained: How Mean Time to Resolution Transforms Incident Management Performance

Global DevOps standards prioritize speed and steady delivery. From an operational standpoint, long resolution times mean teams spend more time reacting to problems instead of focusing on preventative work and innovation. Consequently, operational costs go up, since resolving incidents often requires pulling in resources across teams for collaborative troubleshooting. Over time, this misalignment of resources can disrupt the product roadmap and slow down the release of updates.

Smart Home Monitoring with InfluxDB 3, Google Nest, and Grafana

Your smart home devices generate vast amounts of scattered data—this tutorial shows you how to centralize it into a unified platform using InfluxDB 3 and Grafana. You’ll not only track your home’s vital signs but also learn professional software development concepts, such as time series database design and building resilient data pipelines, applicable to various monitoring and analytics systems. Before we begin, ensure you have.