The way organizations process logs have changed over the past decade. From random files, scattered amongst a handful of virtual machines, to JSON documents effortlessly streamed into platforms. Metrics, too, have seen great strides, as providers expose detailed measurements of every aspect of their system. Traces, too, have become increasingly sophisticated and can now highlight even the most precise details about interactions between our services. But alerts have remained stationary.
In the first portion of the underutilized RMM features series, we discussed the use of Site Concentrators and Data Overdue Cross-Checks. This time we’re going to discuss Monitoring Templates. MSPs have shied away from Monitoring Templates in the past because of the effort needed to set them up. I think this is the wrong way to look at them; we need to be thinking long-term here.
In the monitoring industry there’s a complicated and frustrating conversation that persisted over the years: how do you deal with the enormous volume of data generated by instrumentation? On one side of the aisle, you will find a cohort of vendors and developers telling you that you have to sample data, followed immediately by another group telling you that sampling will ruin the accuracy of incident analysis. They’re both right.
Kubernetes is the most popular container orchestration tool for cloud-based web development. According to Statista, more than 50% of organizations used Kubernetes in 2021. This may not surprise you, as the orchestration tool provides some fantastic features to attract developers. DaemonSet is one of the highlighted features of Kubernetes, and it helps developers to improve cluster performance and reliability.
More than 70 partners have joined Megaport PartnerVantage so far this year, working with Megaport to deliver innovative NaaS solutions for enterprise customers around the world.
Seventy-six percent of supply chain leaders are saying they are facing greater and more frequent disruptions than three years ago. In this Infographic, compiled by Consumer Goods Technology, supply chain leaders can learn what others are doing and create plans to mitigate their risks.
