The latest News and Information on Monitoring for Websites, Applications, APIs, Infrastructure, and other technologies.
Enterprises are dealing with a deluge of observability data for both IT and security. Worldwide, data is increasing at a 23% CAGR, per IDC. In 5 years, organizations will be dealing with nearly three times the amount of data they have today. There is a fundamental tension between enterprise budgets, growing significantly less than 23% a year, and the staggering growth of data.
Have you ever had to purchase a CPU or a GPU? If so, you have probably come across the term “bottlenecking”. There is a certain threshold where output exceeds ability to process, and that can prevent optimal system functionality. One of the methods used in computing to overcome these bottlenecks is multi-threading, where requests are processed simultaneously by multiple threads. We can apply a similar principle to downtime monitoring.
When monitoring network performance, the metric that we most commonly hear about is Speed. Everyone wants to know how fast their network is performing, but what if you need more detail? Keep reading to find out how to monitor network speed and more using Network Monitoring.
In cases, when a crash happens in your Android application, you want more context on what occured before the issue — kind of like following breadcrumbs to the exception. Our SDKs automatically report breadcrumbs for activity lifecycle events, system events, HTTP requests, and many more. Now, Android developers will also see UI events listed as breadcrumbs and get the full picture of what happened without ever having to recreate the issue.
Gartner introduced the word ‘AIOps’ back in 2017, and ever since, the enterprises have been adapting to the various strategies to streamline their IT operations. AIOps is a successful venture because it meets the challenges and tackles the amount of data created in the tech infrastructures amid complex architectures.
