The latest News and Information on Monitoring for Websites, Applications, APIs, Infrastructure, and other technologies.
How to set Service Level Objectives with 3 steps guide.
Want to find the best web monitoring service? You’ve come to the right place. There is no one-size-fits-all monitoring service for every business, so it’s important to do your research and see all the options you have. The worst part about that? You have to do the research with your precious time. The good news? We’ve done the research so you can have a place to start in your journey. Determining the best web monitoring services requires research into important factors.
As mentioned in our documentation, Cribl Stream is built on a shared-nothing architecture. Each Worker Node and its processes operate separately and independently. This means that the state is not shared across processes or nodes.This means that if we have a large data set we need to access across all worker processes, we have to get creative. There are two main ways of doing this: In this blog, we’ll walk through how to deploy a Stream leader, Stream worker, and Redis containers via Docker.
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.
Application performance monitoring (APM) solutions are essential for any business looking to manage its operations efficiently. By providing real-time insights into the performance of your applications, APM solutions can help you quickly identify areas that need improvement and prevent costly mistakes from occurring in the future. But with so many different types of APM solutions on the market today, how do you know which one is right for your company?
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.
In November 2021, we announced a strategic partnership with Microsoft to develop a Microsoft Azure managed service that lets customers run Grafana natively within their Azure cloud platform. Azure Managed Grafana, which became generally available in August 2022, makes it simple for Azure customers to deploy secure and scalable Grafana instances and connect to open source, cloud, and third-party data sources for visualization and analysis.