PagerDuty announced the general availability of PagerDuty AIOps, a solution that delivers end-to-end automation, from event ingestion through auto-remediation, to reliably process high volumes of data and events and resolve incidents quickly.
PagerDuty AIOps leverages machine learning (ML) and proprietary artificial intelligence (AI) to optimize PagerDuty’s foundational data model, reducing complexity, automating more of the incident response process, and preventing costly incidents.
The PagerDuty AIOps solution goes beyond servicing the needs of developers and distributed teams to also address operations teams including network operations centers (NOCs), site reliability engineers (SREs), and ITOps. Every moment wasted on unnecessary noise and manual diagnostic tasks delays incident response and puts both customer experience and revenue at risk. On average, customers who participated in the early access release for PagerDuty AIOps reduced noise by 87% and deployed automated incident response 9x faster than existing solutions. Early access customers also experienced the ease of implementation compared to industry alternatives that require months of setup and model tuning.
PagerDuty AIOps includes:
- Event correlation, noise compression, and triage context functionality freeing SREs and information technology (IT) teams from managing multiple vendors and manual processes to a single powerful solution that drives to resolution quickly.
- End-to-end automation, from event ingestion through auto-remediation, to help teams shift from reactive to proactive by capturing and actioning critical events before they become value-destroying incidents.
- Advanced noise reduction features (available in our early access program) that group alerts across services and allow customers to leverage both defined rules and machine learning to only surface the incidents that matter.
- A visibility console that gives operations teams a single source of truth to monitor and quickly manage all incidents before major incidents occur with far-ranging business, IT, and financial impacts.
- Global Event Orchestration, a powerful decision engine to enrich and control routing or trigger self-healing actions.
- With more than 700 integrations on the PagerDuty Operations Cloud platform, teams can trust PagerDuty's automation-led, people-centric AIOps solution to help save time and money.
“PagerDuty AIOps is a game-changing solution, delivering fast time-to-value for our early access customers and eliminating the need for difficult- and expensive-to-implement event management tools and AIOps offerings of the previous generation,” said Jennifer Tejada, CEO and Chairperson at PagerDuty. “PagerDuty AIOps is deeply integrated into our Operations Cloud platform, including our 700-strong integrations across our ecosystem. Our customers can reduce their cost of operations, mitigate business risk, and improve productivity, allowing them to focus their time on growth and innovation.”
PagerDuty AIOps is easy to implement and has a quick payback period without the burden of a drawn-out, expensive implementation.
The Latest
Broad proliferation of cloud infrastructure combined with continued support for remote workers is driving increased complexity and visibility challenges for network operations teams, according to new research conducted by Dimensional Research and sponsored by Broadcom ...
New research from ServiceNow and ThoughtLab reveals that less than 30% of banks feel their transformation efforts are meeting evolving customer digital needs. Additionally, 52% say they must revamp their strategy to counter competition from outside the sector. Adapting to these challenges isn't just about staying competitive — it's about staying in business ...
Leaders in the financial services sector are bullish on AI, with 95% of business and IT decision makers saying that AI is a top C-Suite priority, and 96% of respondents believing it provides their business a competitive advantage, according to Riverbed's Global AI and Digital Experience Survey ...
SLOs have long been a staple for DevOps teams to monitor the health of their applications and infrastructure ... Now, as digital trends have shifted, more and more teams are looking to adapt this model for the mobile environment. This, however, is not without its challenges ...
Modernizing IT infrastructure has become essential for organizations striving to remain competitive. This modernization extends beyond merely upgrading hardware or software; it involves strategically leveraging new technologies like AI and cloud computing to enhance operational efficiency, increase data accessibility, and improve the end-user experience ...
AI sure grew fast in popularity, but are AI apps any good? ... If companies are going to keep integrating AI applications into their tech stack at the rate they are, then they need to be aware of AI's limitations. More importantly, they need to evolve their testing regiment ...
If you were lucky, you found out about the massive CrowdStrike/Microsoft outage last July by reading about it over coffee. Those less fortunate were awoken hours earlier by frantic calls from work ... Whether you were directly affected or not, there's an important lesson: all organizations should be conducting in-depth reviews of testing and change management ...
In MEAN TIME TO INSIGHT Episode 11, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses Secure Access Service Edge (SASE) ...
On average, only 48% of digital initiatives enterprise-wide meet or exceed their business outcome targets according to Gartner's annual global survey of CIOs and technology executives ...
Artificial intelligence (AI) is rapidly reshaping industries around the world. From optimizing business processes to unlocking new levels of innovation, AI is a critical driver of success for modern enterprises. As a result, business leaders — from DevOps engineers to CTOs — are under pressure to incorporate AI into their workflows to stay competitive. But the question isn't whether AI should be adopted — it's how ...
