Real User Monitoring is a type of performance monitoring that captures and analyzes each transaction by users of a website or application. It’s also known as real user measurement, real user metrics, end-user experience monitoring, or simply RUM. It’s used to gauge user experience, including key metrics like load time and transaction paths, and it’s an important component of application performance management (APM).
New year, same old problems for Windows 10. But it doesn’t have to be that way. Earlier this month the United State’s National Security Agency (NSA) announced that they discovered a major vulnerability in Windows 10 and Windows Server 2016 that could have had dire consequences for businesses around the world. The vulnerability places Windows endpoints at risk to a broad range of exploitation vectors NSA official cybersecurity advisory
When working on web and graphic designs there can be so much back and forth in emails and messages. There will be lots of email threads to keep up with. The review and approval process taking several turns. So, what do you do? Ask any designer about the pain they go through when it comes to the approval process. Luckily, the technology clearly will never disappoint any of us.
App containerization has picked up momentum in recent years as it helps to save costs, time and resources. Resource vendors are available to assist in containerization of one or two apps, but most vendors struggle to execute a large number of app containerization projects with the same skill level and outcomes. As a matter of fact, it’s a manual approach in certain scenarios with a lot of dependencies which is not only time and cost consuming but also prone to errors and miscalculations.
Event and alert severity are extremly important information for an effective alert management and response. Severity information determine the speed of response, needed resource allocation and the action path taken. Naturally, critical alerts have higher priority than major alerts which again overrule minor alerts.
When talking about log management, search history is overlooked more often than not. Past searches can be used as part of log analysis and forensic analysis, but the main issue with this data is the speed of search which gets compromised as data volume gets greater. We will discuss some ways to get the best out of your saved searches and to speed up the search process.
As with any enterprise technology, there are benefits and challenges when creating IT environments in the public cloud. The benefits include cost savings and the ability to easily scale up and down (just to name a few).
This article originally appeared in TechBeacon. Gartner first coined the term "AIOps" a few years ago to describe "artificial intelligence for IT operations," and over the last few years, IT operations monitoring tool vendors have begun incorporating AIOps features into their products. Now AIOps tools are commonplace, but many IT leaders remain cautious about using these relatively new capabilities.
January is a good time for bug-fixing and we've spent the last couple of weeks making small tweaks and improvements to Downtime Monkey. We've focused on the kind of bugs that aren't urgent but shouldn't be overlooked and aim to continue this for a couple more weeks before starting development of the next major feature. We'll document each change in its own post. First up is an improvement to the range of webpages available for monitoring: webpages with query strings can now be monitored...
