Operations | Monitoring | ITSM | DevOps | Cloud

How to Detect And Uninstall Comet And Atlas From All Your Company's Computers

Discover how to manage unauthorized AI tools like Atlas and Comet in your organization. Learn how to:✓ Identify machines running unauthorized AI browsers.✓ Create smart tags for banned software.✓ Set up proactive security alerts.✓ Deploy automated uninstallation packages. Whether you're concerned about data privacy, compliance requirements, or unauthorized software installations, this guide shows you how to take control of your IT environment.

Anatomy of an OTT Traffic Surge: Thursday Night Football on Amazon Prime Video

In this edition of Anatomy of an OTT Traffic Surge, we look at Thursday Night Football on Amazon Prime Video. Based on traffic stats, TNF is the most watched program on the streaming service. Using Kentik’s OTT capabilities, we’ll see how this program gets delivered and how that has changed over 11 weeks of the NFL season.

How AI Agents Are Redefining the SRE Role

Even the best site reliability engineers (SREs) spend too much time doing reactive work—triaging incidents, gathering context, escalating to the right teams, and documenting what happened. That work is essential, but it’s not where an SRE’s highest value lies. These engineers are hired to build and maintain resilient systems, not play air-traffic control with every alert that hits their queue.

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.