The Domain Name System (DNS) is at the core of the engine that keeps the internet running. We have explained how DNS works and why it is critical to the functioning of the internet in our Synthetic Monitoring Guide. The DNS resolution relies on various components, such as the DNS resolvers, name servers, authoritative servers, and zone files, to function properly and the process typically takes milliseconds to complete.
Gartner jumps right into it, describing a reorientation of a tool that has previously focused on IT service management and automation. AIOps is now also enabling a variety of new observability use cases for DevOps and Site Reliability Engineering (SRE) teams. This blog presents the guide’s major findings and a link so you can read the report for more details. About the AIOps Platform Market
We're excited to announce the release of two new features this month: customizable Slack incident modals and Incident Tags. Keep reading to more about how they can help your teams manage incidents better!
How do you execute an effective web application availability monitoring? All stakeholders should monitor to ensure that web app’s availability is not compromised. Great design and excellent user experience are put to waste if your web app is not accessible. Let’s establish first how web application monitoring works.
Ubuntu Server 21.04 (Hirsute Hippo) brings significant improvements to automation and stability fronts with new extensions to the Ubuntu Server Live Installer and phased updates in the Advanced Package Tool (APT).
The financial services (FS) industry is going through a period of change and disruption. Technology innovation has provided the means for financial institutions to reimagine the way in which they operate and interact with their customers, employees and the wider ecosystem. One significant area of development is the utilisation of artificial intelligence (AI) and machine learning (ML) which has the potential to positively transform the FS sector.
TL;DR: KFServing is a novel cloud-native multi-framework model serving tool for serverless inference. KFServing was born as part of the Kubeflow project, a joint effort between AI/ML industry leaders to standardize machine learning operations on top of Kubernetes. It aims at solving the difficulties of model deployment to production through the “model as data” approach, i.e. providing an API for inference requests.
Customers interact with your business multiple times before reaching any goal. These repeated digital interactions are what make up the customer journey. Your customers’ overall experience across the different channels as they engage with your organization (websites, social media, email, etc.) make up the customer experience. Customer journey analytics refers to the process of analyzing the experience of customers across multiple touchpoints in the customer journey.
A lot of time and resources are invested in making sure your customers get your emails. This is where email infrastructure comes in handy. While you have limited control over user interaction with your emails, monitoring email infrastructure is in your hands. Email infrastructure usually consists of your server and domain configuration, server performance, IP address, mail agents, and more. And to make sure your email infrastructure is in perfect working order, you need to constantly monitor it.
