Machine Learning (ML) algorithms are designed to automatically build mathematical models using sample data to make decisions. Rather than use specific instructions, they rely on patterns and inference instead. And the business applications abound. In recent years, companies such Google and Facebook have found ways to use ML to utilize the massive amounts of data they have for more profit.
We’re pleased to come home from DattoCon19 with memorable experiences. It was a well-curated conference, striking a fine balance between emerging MSP trends, informative sessions, networking and of course, entertainment. Here are my top takeaways from the event.
On June 20 we have released the 3rd update for EnterpriseAlert 2019. Don’t get confused by the version number, 8.2.0 would better be 8.3.0, but that’s the way it is. Here is a very short EA 2019 release history for CY 2019.
Five worthy reads is a regular column on five noteworthy items we’ve discovered while researching trending and timeless topics. This week, we discuss whether NoOps is just a buzzword, a far-fetched reality, or simply the next evolutionary state of DevOps.
The PagerDuty Incident Response Process is a detailed document that provides a framework for how to structure your incident response process. But sometimes it helps to understand how these seemingly abstract concepts play out during real-world scenarios. You can now hear an incident call recording that’s based on a real PagerDuty incident. Due to the nature of incident response practices, the process guide we publish is filled with very explicit details regarding a variety of situations.
While there are some very good sources out there on how to manage a critical incident, Google also wrote a chapter on incident management in their book, “Site Reliability Engineering”. In this chapter, the folks at Google present their approach to a well-designed critical incident management process.
This is the second edition of our features review from the past few years, here we will share some features that were created or updated in 2017. We are currently moving content from our old blog platform so all features mentioned here are not new but it is always good to take a fresh look at things. And as we are always upgrading & enhancing features, some of the items have been edited to reflect the current state.
This month, we are excited to announce a new set of product capabilities and enhancements designed to ensure that teams can work in real time, all the time, wherever they are. Whether they’re on-the-go with their mobile devices or at their desks on a typical work day, we will continue to innovate without sacrificing ease-of-use and adoption.
