This is the second piece in a series about automated diagnostics, a common use case for the PagerDuty Process Automation portfolio. In the last piece, we talked about the basics around automated diagnostics and how teams can use the solution to reduce escalations to specialists and empower responders to take action faster. In this blog, we’re going to talk about some basic diagnostics examples for components that are most relevant to our users.

The Software Development Lifecycle (SDLC) framework defines the entire process required to plan, design, build, release, maintain and update software applications, including the final stages of replacing and decommissioning an application when needed. A Secure SDLC (SSDC) builds on this process, integrating security at all stages of the lifecycle. When migrating to DevSecOps (collaboration between Development, Security, and Operations teams), teams typically implement an SSDLC.

IT services are a critical backbone to the operations and functioning of most every business and organization. As more and more IT departments have embraced the need for good governance, this has driven greater transparency. From the perspective of IT service management, this has manifested itself as much greater openness when communicating about IT service availability.

SIGNL4 supports the remote execution of automated tasks or workflows in IT or IoT systems using Remote Actions. These remote actions offer a wide range of applications. You can execute remote actions in response to an alert to trigger some kind of remediation action. But there are many more possible use cases. This article provides some examples and ideas about what is possible.

People make mistakes, technology breaks down, and processes aren’t infallible. But, when incidents happen, what can we do about it? What can we learn? As with all things, learning isn’t a binary action, it’s a process. And, when an incident occurs, organizations typically conduct a post-mortem analysis and generate a post-incident review to uncover what went wrong and why.