Operations | Monitoring | ITSM | DevOps | Cloud

Service disruptions can happen at any time, affecting communication, productivity, and access to critical platforms. In February, several major services experienced outages, causing frustration for users worldwide. With its Early Warning Signals feature, StatusGator detected these issues in real time—often before official acknowledgments—helping users stay informed and prepared. Here are five notable outages from the past month.

February may be behind us, but we’ve got some great updates to share! Here’s a quick recap of what’s new at StatusGator to improve your monitoring experience.

Today, a strong network forms the backbone of business success, making network visibility crucial. As modern networks continue their rapid evolution, it's essential to have an observability solution that is robust, resilient, and scalable. Teams need a solution that helps them enhance network performance and improve user experiences. They need a solution that enables them to confidently face current and future network operations challenges. Network Observability by Broadcom is that solution.

Deploying FreePBX and Asterisk on a single Ubuntu virtual machine in a public cloud is an ideal solution for personal users and small to medium-sized businesses with voice over IP (VoIP) and fax over IP (FoIP) needs. This setup costs nothing, is scalable and secure, and has daily recovery points with a recovery time measured in minutes.

API security testing is software testing performed on APIs. It is meant to identify vulnerabilities in API endpoint communication and access. In modern software development, API security is a crucial aspect that cannot be ignored. API security testing can now be automated in CI/CD, enabling early detection of vulnerabilities, maintaining security standards without slowing down development, and reducing human errors.

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.