When you’re building software, there’s so much to think about — from bugs to how fast your application loads. We’ve got something new to help your development team build better, faster experiences for your users, in less time. Today, we’re releasing Raygun Application Performance Monitoring (APM) for .NET, a new way to visualize and understand your application’s performance on the server-side.
A recent study from Mulesoft shows that 75% of enterprises have moved past the digital transformation planning stage to rolling up their sleeves and diving into implementation. Teams are updating their IT Operations Management (ITOM) strategies, moving more systems and services to the cloud, and automating tedious manual processes that have historically been the root cause of migraines for many people.
PM2 is a production-grade process manager that makes management of background process easy. In the Python world we could compare PM2 to Supervisord, but PM2 has some nifty features you might like. With PM2, rolling restarts, monitoring, checking logs and even deploying application has never been that simple. We really value CLI UX, so PM2 is really simple to use and master.
In my previous post, I talked about the real costs of alert fatigue — the toll it can take on your engineers as well as your business — and some suggestions for rethinking alerting. In part 2 of this series, I’ll share some best practices for fine-tuning Sensu to help reduce alert fatigue.
Super Monitoring was recently lauded by a popular software review platform for its steadfast assistance in keeping everyone’s business operations smooth and seamless at all times. For its efficiency in informing users regarding emerging issues and anomalous threats, Super Monitoring was distinguished by the FinancesOnline SaaS review platform with two prestigious awards for 2018: Great User Experience and Rising Star.
Alert fatigue occurs when one is exposed to a large number of frequent alarms (alerts) and consequently becomes desensitized to them. This problem is not specific to technology fields: most jobs that require on-call, such as doctors, experience it in slightly different manners, but the problem is the same.
We covered how to install a complete ‘Kubernetes monitoring with Prometheus’ stack in the previous chapters of this guide. But using the Prometheus Operator framework and its Custom Resource Definitions has significant advantages over manually adding metric targets and service providers, which can become cumbersome for large deployments and doesn’t fully utilize Kubernetes’ orchestrator capabilities.
Uptime Robot sends notifications for down and up notifications by default for each alert contact type. However, there can be cases where you may only need the down or up notifications.
IT professionals have to efficiently manage several dozen to several hundred critical pieces of infrastructure a modern business needs to stay afloat. Even smaller businesses often encounter this challenge. We understand that at every level, the time spent researching these issues comes at a cost. That’s why we’ve built some time-saving measures into Uptime.com to help you make more efficient use of your most precious resource: your time.
