Operations | Monitoring | ITSM | DevOps | Cloud

We just shipped a feature that’s been high on our list: a full implementation of the public DNS scoring system in your dashboard.

The main news of this new 732 update package is the new Discovery functionality, which aims to make it much easier to deploy monitoring through the automatic discovery of various technologies. In addition, several tasks have been performed to improve the creation of PDFs, massive responses to events, as well as the synchronization of various elements in the Metaconsole.

We’re thrilled to announce that for the second year in a row, 451 Research has positioned OpsRamp in their flagship Market Map report for Application and Infrastructure Performance. 451 Research recognized OpsRamp for its innovative use cases in four distinct performance management categories: Infrastructure Monitoring, Event Analytics, Alerting, and Synthetics. You can read an excerpt of the 2019 Market Map report HERE.

I recently gave a talk at GrafanaCon LA, which was heavily inspired by my blog post on check output metric extraction. During the talk, I dove into a popular monitoring use case with Sensu, InfluxDB, and Grafana — let’s call it the SIG stack . While I got to share some awesome features in Sensu that ultimately allow users to collect, store, and visualize their metrics, the conference was about Grafana, and folks wanted to see dashboards!

With the growing number of customers monitoring Azure in Datadog, we saw a great opportunity to help our users get faster visibility across their dynamic cloud environments. We’re happy to announce the release of new out-of-the-box dashboards for several Azure services.

A few days ago, ICANN issued a statement where they call upon everyone to implement DNSSEC across their DNS infrastructure.

Our recent webinar on 2019 Performance and Management Trends and Insights featured Nancy Gohring, Senior Analyst at 451 Research and Darren Cunningham, VP of Marketing at OpsRamp. The webinar reviewed key findings from recent surveys on performance monitoring and how IT automation investments (artificial intelligence and machine learning) are helping enterprises combat the twin problems of alert fatigue and incident downtime.

As applications are getting more complex, it’s becoming harder to deliver high-quality applications. Tools like Application Performance Monitoring (APM) are essential for the development process. To get good performance data, developers need to deal with the rising trends of containerization, microservices, heterogeneous cloud services, and big data.

The 1980s was a period that set the ball rolling for many aspects of the technology that we are using today. Personal computers, such as the BBC Micro and similar devices, introduced the world in general to the power and potential of IT – a capability that has grown massively in sophistication and capability, to the point that it has become fundamental to many aspects of life at work and at home.