How to Avoid Website Downtime

Posted on August 9th, 2024 by Simon Rodgers in Monitoring

Website is Down, capturing the frustration and chaos associated with the situation.

Website downtime refers to periods when a website is inaccessible or non-functional due to various issues. This can range from a few seconds to several hours or even days, depending on the severity of the problem and the efficiency of the recovery measures. During downtime, users cannot access the website's services or content, which can result in a loss of business and user trust.

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Website Availability Monitoring

Posted on July 24th, 2024 by Simon Rodgers in Monitoring, Guides, Explainer

Website availability monitoring dashboard on a screen

Website availability refers to a website's ability to be accessible and functional for users at all times. It is typically measured by uptime percentage, which indicates the proportion of time a website is operational over a given period. High website availability ensures that users can consistently access the content, services, or products a website offers without interruptions.

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Ultimate Guide: How to Monitor Any Changes in File and Folder in a File Server

Posted on May 28th, 2024 by Simon Rodgers in Monitoring, Guides

Computer screen with a file server directory.

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API Monitoring

Posted on April 26th, 2024 by Simon Rodgers in Monitoring, Guides

Illustration of a magnifying glass analyzing API performance data

API monitoring is crucial for the health of your digital services. This article goes straight to the heart of it, addressing the tools, strategies, and metrics essential in spotting and solving API issues quickly. Learn to maintain and enhance the performance of your APIs, prevent downtime, and improve user experiences through effective monitoring techniques.

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Is It Necessary to Monitor Business Calls and Messages?

Posted on February 29th, 2024 by Simon Rodgers in Monitoring

Call center with people communicating

Imagine a scenario in which you take a call from a customer who tells you that a customer service agent promised them a full refund. This confuses you because the reasons do not meet the criteria for a refund. However, you have no evidence to prove the customer is telling the truth. Now, if only you could check what had been said on the call.

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