The latest News and Information on Monitoring for Websites, Applications, APIs, Infrastructure, and other technologies.
You get what you pay for is a common axiom, one that even applies to infrastructure management solutions. Cloud vendors bundle Digital Experience Management (DEM) solutions with their services, seemingly at no extra charge. But such products lack the capabilities needed to understand how enterprise computing resources function. As a result, corporations do not make needed adjustments and lose time, revenue and increase user frustration.
The advent of multi-cloud and hybrid-cloud architectures has created new opportunities for organizations to leverage best-in-class features from various cloud service providers. However, these complex environments present their own unique challenges, especially when it comes to monitoring and managing performance.
In the eternal hunt for elusive bugs, logging is an indispensable aid. By recording the events and messages that occur during the execution of your program, logging opens the door to unparalleled debugging and performance monitoring capabilities. It all starts with Python’s built-in logging module. However, the true power of Python logging is unlocked not merely by using it, but by mastering it.
The financial impact of Internet outages on businesses is well recognized. Yet, the exact cost remains difficult to gauge due to the individual nature of each company, its environment, the industry, risk tolerance, and so on. A significant breakthrough in understanding this cost has been achieved through a recent commissioned study conducted by Forrester Consulting on behalf of Catchpoint, entitled, Increase Revenue with Internet Performance Monitoring.
Didn’t have time to watch our two recent webinars on the top trends network operators need to know about to be successful in 2023? We’ve got you covered. Let’s look at the biggest takeaways and break down some key concepts.
Wikipedia defines smoke testing as “preliminary testing to reveal simple failures severe enough to, for example, reject a prospective software release.” Also known as confidence testing, smoke testing is intended to focus on some critical aspects of the software that are required as a baseline.