The latest News and Information on Monitoring for Websites, Applications, APIs, Infrastructure, and other technologies.
There are many factors making networking both more complicated and more critical than ever. The advent of cloud infrastructure, web-based applications, and increasingly diverse network environments demand a new approach to network operations, or NetOps, as it’s referred to in the industry. Networks are bigger than ever: they now connect everything ranging from automobiles to cloud servers.
The primary DNS server hosting a zone or multiple zones acts as an authoritative DNS through which DNS administrators manage zone files and perform DNS changes like adding, deleting, and updating DNS records.
Managing your own time series database is painful. We’ve moved from servers to services, and yet, monitoring metrics data is primitive. Our managed time series database powers mission-critical workloads for monitoring, at a fraction of the cost.
With the growing adoption of remote and distributed application development including micro-services, cloud-native applications, serverless, and more, it is becoming challenging more than ever before for developers to troubleshoot issues within a reasonable time, and that is a bottleneck. That in a sense contradicts the objectives of Agile and DevOps through fast feedback loops, continuous delivery, quick MTTR (mean time to resolution of defects), etc.
I spent the last few months of 2022 sharing my experience transitioning networks to the cloud, with a focus on spotting and managing some of the associated costs that aren’t always part of the “sticker price” of digital transformation.
I/O wait is a plaguing issue in Linux. Speaking in layman terms, I/O wait is the time taken by the processor (here, CPU) to complete an input service request. Ideally, our CPU doesn't seem to do any work when it is processing one input request at a time, thus the duration between your input and the output provided by the system can be treated as the I/O wait time.
