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Fast Data, Fast Monitoring By Christopher Tozzi Big data is old news. Today, the key to leveraging data effectively is to do fast data. In a similar fashion, traditional incident management-which entails collecting and analyzing large volumes of monitoring information-is no longer enough. Organizations must also now do "fast monitoring," which means not only collecting monitoring data; but making it actionable in real-time. This post examines what fast monitoring means, and explains how incident management teams can implement this approach to realize great benefits. Defining Fast Data To understand the concept of fast monitoring, you have to understand fast data - one of the newest innovations in the big data world. Very simply put, fast data is big data done in a fast way. Whereas big data traditionally meant storing large amounts of information and analyzing it lat... (more)

IoT #Monitoring Challenges | @ThingsExpo @PagerDuty #IoT #APM #AI #ML

The IoT and Next-Generation Monitoring Challenges By Zachary Flower We're living in the future. Thanks to the Internet of Things (IoT), our world is more automated and connected than ever before. Just about everything, from cars to refrigerators, to coffee machines, has the ability to connect to the Internet, allowing us to micromanage each individual device. This type of automation is an exciting direction for the world to be moving in and the benefits it brings to businesses are huge. Optimizing Processes A great example of a traditionally non-networked company using IoT to make... (more)

Gearing up for #DigitalTransformation | @CloudExpo @PagerDuty #IoT #ML

Gearing up for Digital Transformation By Vera Chen Modern organizations face great challenges as they embrace innovation and integrate new tools and services. They begin to mature and move away from the complacency of maintaining traditional technologies and systems that only solve individual, siloed problems and work “well enough.” In order to build a product that delivers continuous value, organizations must discover and address the true pain points and pitfalls teams experience throughout the incident management lifecycle in order to innovate solutions that boost revenue, in... (more)

Monitoring in the #Microservices Age | @DevOpsSummit #APM #Monitoring

Monitoring in the Microservices Age By Chris Riley Thanks to Docker and the DevOps revolution, microservices have emerged as the new way to build and deploy applications - and there are plenty of great reasons to embrace the microservices trend. If you are going to adopt microservices, you also have to understand that microservice architectures have many moving parts. When it comes to incident management, this presents an important difference between microservices and monolithic architectures. More moving parts mean more complexity to monitor and manage in order to keep applicati... (more)

Causes of Downtime | @CloudExpo @PagerDuty #DevOps #APM #Monitoring

The Top Causes of Downtime By Zachary Flower According to a roundup by Gartner, the average cost of downtime for an enterprise is $5,600 per minute. While the data collected was from incredibly large companies, the cost of downtime for even small startups is no laughing matter. Let's assume, for the sake of simplicity, that your core product is a web app that relies solely on organic sales, totaling $1 million in revenue a year. This amounts to about $2 in lost revenue per minute. This doesn't sound like too much in the grand scheme of things, but revenue is only a small part of ... (more)