PagerDuty expands generative AI solutions to manage outages and disruptions

PagerDuty Inc. operations and analytics platform Today announced expanding its generative artificial intelligence capabilities with a new tool that provides emergency response teams with automation and insights to respond faster to incidents and outages.

The new solution, PagerDuty Advanceis designed to support initial response to outages and incidents by highlighting relevant context and automating the incident lifecycle by reducing the tedious task of reading through reports. The means IT specialists and experts can spend more time determining root causes and getting systems back online instead of digging through logs.

Advance payment is build in PagerDuty Operations Cloudwhich combines incident management, AIOps, automation and customer service as well as the company’s AI agent PagerDuty Copilot. The company says the platform is an easy-to-use system for getting mission-critical, time-sensitive work done by enterprise IT, DevOps and security teams.

“Global IT disruptions and outages are becoming the new normal due to enterprise technical debt and the rush to leverage the power of generative AI,” said Jeffrey Hausman, Chief Product Development Officer at PagerDuty. “These are factors that contribute to a greater number of outages that last longer and are more costly. Building on our genAI offerings, PagerDuty Advance provides customers with generative AI solutions that help them scale teams by bringing contextual insights to light and automating time-consuming tasks at every step of the incident lifecycle.”

The recent global outage caused by a software update from cybersecurity company CrowdStrike Holdings Inc. has more than 8.5 million computers with Windows operating system globalestimates Microsoft Corp.. Most outages and incidents that impact companies’ business are not on the scale of the CrowdStrike event. Yet outages can cost hundreds of thousands or millions of dollars per year after being offline for just a few hours. So the sooner they are discovered and resolved, the The better.

PagerDuty said that with Advance, companies can quickly automate manual work in the lifecycle of an incident, where and when first responders receive their information, giving them an advantage.

Advance can be used directly in Slack, a together Communication tool for first responders to collaborate on incident resolution. Using simple prompts, responders can quickly create summaries of Key Incident information And The chatbot can also anticipate common diagnostic questions and suggest troubleshooting steps to speed up resolution.

The AI ​​also automatically generates draft status updates on progress and current challenges to simplify tedious reporting and paperwork during the process. The same works for post-mortem analyses. once the incident is solveda user can create a review by collecting all the generated data that highlights the Key Results and recommended next steps to prevent the problem from occurring again.

On the automation side, when jobs are executedthey create reports — lengthy protocols that are tedious and difficult to read. Advance can generate reports from Action protocolautomated processes that execute events based on triggers to help with Diagnosis and summarize the most important results. This way, First The emergency services can make informed decisions based on these results or Key Values ​​from reports into the orchestration for further automation.

“PagerDuty enables organizations to take the next step in realizing the full potential of AI and automation across the digital enterprise,” said Hausman.

The company said early access customers using Advance to summarize status updates have saved up to 15 minutes per responder per incident. PagerDuty estimates that this alone could save an average organization at least 75 hours each month, or more than nine work days.

Image: SiliconANGLE/Microsoft Designer