Operations | Monitoring | ITSM | DevOps | Cloud

Ready, set, go: when it comes to customer service, it's a race against the clock. Customers expect lightning-fast responses and complete solutions to their problems. But what happens when your help desk can't keep up with the pace? The answer is simple: frustration, dissatisfaction, and potentially lost clients. That's why measuring and improving Time to Resolution (TTR) is crucial. As a customer, there's nothing more irritating than dealing with a slow or ineffective help desk.

The average cost of an IT outage is $12,900—per minute. And when it comes to a “significant outage,” organizations reported the average overall cost was a whopping $1,477,800. On the latest podcast episode of That’s great IT, I spoke with Scott Lee, AVP for infrastructure and ITOps at Arch Mortgage Insurance Company, part of Arch Capital Group, about how organizations can best navigate IT outages.

Are you tired of constantly experiencing buffering, lagging streams, or dropped calls? Have you ever wished you had a network watchdog to monitor your connection and alert you of any issues before they become a major headache? Well, you're in luck because we have just the tools and tips for you! In this step-by-step guide, we'll show you how to become a network watchdog yourself and use Network Monitoring tools to monitor your network connectivity like a pro.

Nothing is certain in this world except for death, taxes, and that you will eventually run out of disk space. You may have used our unique predict operator to query logs and forecast future values (we’ve even heard of customers predicting their ingest volume for Sumo Logic log data to better forecast their usage and budget!) — and wanted to do the same with metrics. With the recent general availability of the predict for metrics operator, you can.

The process of building and maintaining modern, cloud-based applications requires a new approach to infrastructure monitoring. Traditionally, engineers would try to isolate a specific infrastructure component causing an issue — and fix it alone, without diving into code. Today, DevOps engineers must understand how application performance is related to their infrastructure. Infrastructure, for DevOps engineers, is an enabler to deploy code.

In your lifetime as a frontend developer that works with React, you must have come across several issues with debugging a containerized React application. I bet you can relate, you’re certainly not alone. Containerization has become an integral part of best practices for software development teams that want to create, test and deploy applications quickly and efficiently. However, despite its advantages, it also comes with new challenges for debugging and troubleshooting applications.