The other day, a newer Engineering Manager here at PagerDuty, Dileshni Jayasinghe, started a Slack thread expressing joy at how fantastic our engineering team is after attending a conference with engineering folk from other organizations. She explained that she’d shared our practice of owning what we build with someone—who then responded by gazing off into the distance and saying, “That’s my dream.”
In the entertainment world, building enterprise apps involves many challenges, such as compatibility with numerous devices and large files like HD videos, along with streaming media to millions of users simultaneously. But today’s entertainment apps are possible only because of a modern approach to software delivery—DevOps brings greater efficiency across the development pipeline.
It’s pretty well known that we live in a connected, always-on world where seconds matter when it comes to customer happiness. There are smaller incident management solution providers that offer what looks to be competitive pricing—but it’s important to consider the bigger picture outside basic alerting and incident response.
As a long-time security professional, I’m always interested to hear about how companies like Datadog are keeping up with the changing security landscape. I can recall when the security organization was solely responsible for security, and we were focused on protecting the perimeter of our business. However, with the advent of the cloud, mobile, and web applications, that perimeter has disappeared.
SAN FRANCISCO – June 7, 2018 – PagerDuty today announced PagerDuty Event Intelligence, a new product that builds on its market-leading digital operations management platform. Event Intelligence analyzes both incoming digital signals and human response patterns (such as when and how alerts are resolved by responders) and uses automation to identify issues quickly, enabling teams to take action on critical software issues and opportunities.
Across every industry and operational model we serve, customers tell us they’re struggling with finding the actionable signal in a sea of data. The systems and services teams run are growing more complex every year, and headcount never scales at the same rate.
