Operations | Monitoring | ITSM | DevOps | Cloud

Losing a customer to a competitor can be costly; customer retention is vital for business success and growth. Businesses must anticipate when and why a customer might leave, so they can implement measures to retain them. One solution might be to build a system that predicts churn. But can it be done? Using machine learning (ML) techniques to analyze customer service interactions can provide valuable insight into customer sentiment.

With the growing complexity of cloud-native applications, DevOps teams often face challenges when setting up and maintaining Kubernetes observability. AIOps (artificial intelligence for IT operations) makes the process more manageable using AI and machine learning for monitoring, troubleshooting, and performance optimization. In this article, you’ll learn about the common challenges in Kubernetes observability and how AIOps can provide proactive and effective solutions.

Frequently in support conversations and posts on Playwright forums, a problem has come up that’s a little bit hard to describe, but comes down to synchronous testing: developers writing a series of Playwright tests that operate on the assumption that one of the tests will either run first or run last, and perform the function of a setup and cleanup script.

A faulty engine in a high-performance car; how disappointing can that be? The same is the case of a slow-loading, poorly performing webpage for any digital entity. All that the page can gain will be a group of tired and irritated customers and a loss of trust in the brand. Modern businesses need a fast, reliable, and seamless digital experience. Proactive monitoring of the user experience—understanding how users interact with all digital touchpoints—is vital.

When something goes wrong, the first question is always: what changed? Whether it’s an unexpected change to your on-call schedule, a broken automation, or a modified Runbook that just seems off, understanding the issue starts with knowing who made what change, when it happened, and what exactly changed. But in an organization with many users, keeping track of every action can feel impossible.

AI platforms have experienced several service interruptions over the past few months. We’ve all seen the memes fly when ChatGPT, Gemini or Perplexity go down. They’re funny at first, but then reality hits: if you rely on AI tools for work or business, these outages can grind your day to a halt.

PowerShell is a command-line-based shell and scripting language that automates tasks on the Windows OS. PowerShell lets you automate any task normally done on Windows, like installing programs or updating software, allowing you to complete those tasks faster and on a larger scale. You can even extend its powers with Azure PowerShell to control Azure’s robust functionality, allowing you to use cmdlets to provision VMs, create cloud services, and carry out a number of other complex processes.