In today’s fast-paced digital era, ensuring seamless operations is more critical than ever for enterprises. Systems are more complex, customer expectations are at an all-time high, and the margin for error has dramatically narrowed. The way organizations respond to and manage incidents has undergone a remarkable transformation.

As work environments for entire industries continue to evolve between on-site, remote, and hybrid models, the performance of IT operations (ITOps) teams is more critical than ever. If you need proof, just remember the global impact of the CloudStrike outage. Operations teams must monitor, triage, communicate, and manage incidents 24×7 across all services. SaaS, legacy on-premises, and homegrown tools and systems are all stretching to meet business demand. Customer expectations are ever-increasing.

In a recent webinar, BigPanda CEO Assaf Resnick noted that for the last 15 years, CIOs staked their reputations on how effectively they could move their enterprises to the cloud. Assaf predicts CIOs will focus on integrating generative AI into their enterprises over the next 10 years to deliver tangible business value. IT operations (ITOps) and IT service management (ITSM) offer significant opportunities to incorporate AI to enhance and accelerate their processes.

In an era where regulatory frameworks like DORA and FCA PS21/3 and PRA PS6/21 demand higher standards for financial resilience, European financial entities face growing pressures to ensure compliance and operational excellence. To understand these challenges, we spoke with Lee Fredricks, Director of Solutions Consulting for EMEA at PagerDuty.

The stress, sudden disruptions, and high stakes of resolving issues while on call is one of the most challenging aspects of an engineer’s job. Many organizations, from startups to large enterprises, still struggle with their on-call experience, which leads to longer resolution times and lower employee retention rates. Constant context switching, managing multiple tools, and racing against time to resolve issues can cause frustration, burnout, and inefficiency.

2025 kicks off with a portion of handy ilert updates!

As we enter 2025, we reflect on a year committed to innovation and customer success at PagerDuty. In 2024, we introduced capabilities that empowered operations teams to mitigate risks, protect customer trust, and improve business outcomes. From managing global outages to addressing complex digital operations, the PagerDuty Operations Cloud enabled organizations to respond faster, work smarter, and build operational resilience.

Artificial intelligence (AI) is reshaping industries, and software development is no exception. By integrating AI technologies like machine learning, generative AI, and natural language processing, development teams can optimize workflows, enhance code quality, and reduce time-to-market. In this article, we’ll examine AI in software development, including its benefits, challenges, and most recent developments. Let’s get started.