The latest News and Information on Incident Management, On-Call, Incident Response and related technologies.
An always-on world requires a proactive and preventative approach to managing your digital operations. PagerDuty is proud to announce our latest release, which helps streamline remote remediation by providing an at-a-glance overview of your system’s health. While we’re known for on-call management and incident response, PagerDuty does much more, including providing visibility into the business impact of an incident.
In this second installment of this blog series, we’ll discuss the importance of analyzing metrics, and how AIOps helps you with this fundamental pillar of observability. Without proper metrics analysis, you’re left blind to potential outages, or possibly worse — inundated with false positive anomalies, leading to alert fatigue and ultimately business impacts. Automated discovery and analysis can’t be achieved with legacy tools nor will it scale with humans.
We no longer live in a world where a few tools determine the way organizations structure their processes. From IT Service Delivery to Incident Response, Modern IT Operation Solutions need to embody the flexibility that most Enterprises require. The dynamic ITOps ecosystem has shifted to put choice back in the hands of the user. Now, IT Solutions must follow suit. Modern Incident Response platforms, in particular, need the flexibility that enterprises need to mirror their enterprise architecture.
I’ve offered some tips up for folks who are oncall during the COVID-19 crisis, but I thought it would be helpful to get some more ideas from people with different perspectives. So I reached out to some people I trust to see what they had to say. They all have different viewpoints, but some themes emerge, like managing alerts, having empathy, and practicing self-care. The participants, in alphabetical order: Aaron Aldrich is a Developer Advocate at LaunchDarkly, with a focus on DevOps.
Seemingly simple digital moments, like checking into a flight, trigger a complex technical flow of events under the IT covers. A simple swipe or click relies on a complex IT ecosystem made up of millions of lines of code, spanning multiple software applications, hybrid and multi-cloud technologies, state-of-the-art IT infrastructure, security apps, and more.
DevOps pipelines generate massive amounts of data. To maintain the stability and speed of application delivery, operations leaders must analyze it quickly and continuously. But how can they keep DevOps — and their business — agile? Gartner’s “Augment Decision Making in DevOps Using AI Techniques” provides, in our view, the answer for operations leaders to make precise data-driven decisions and automate actions for rapid application delivery.
The COVID-19 crisis has proven to be a challenging time for IT support teams and managed service providers (MSPs). It hasn’t only left these organizations in a vulnerable position, but also in a state of uncertainty as to what may be in store for them. OnPage interacts with current and prospective clients ranging from large businesses to small and medium enterprises (SMEs).