The ability to quickly and accurately identify the root cause of IT incidents is paramount. According to EMA Research, more than 80% of IT professionals said a solution that could generate an accurate summary of alerts and incidents, including the likely root cause, would be transformational or high value. Respondents noted that such a solution would reduce mean time to resolution (MTTR) by 10 to 30 minutes.

Read the full ebook, The Value of Implementing an Automation Center of Excellence, here. Automation has been a proven change-maker for business operations for decades. In this era of technology and innovation, its use is geared towards streamlining repetitive tasks, boosting developer productivity, and reducing operational costs.

According to the Uptime Institute, during the last year, the number of IT incidents slowly declined while the average cost of every incident grew. As dependency on digital services increases, the cost for ⅔ of all outages exceeds $100,000. Stakes are rising, and more and more companies are investing in proactive incident management.

ITOps stands at a crossroads: Teams need help managing high volumes of alerts and coordinating between different tools and teams. They must balance the agility offered by cloud technologies and the stability provided by on-premises solutions. Success relies heavily on adaptability and clarity, requiring flexibility, with synchronized technology stacks for seamless IT operations. AIOps, a term coined by Gartner, provides a straightforward way to improve IT operations.

When it comes to managing incidents and ensuring operational efficiency, understanding key metrics is crucial. Among the most important are MTBF (Mean Time Between Failures), MTTR (Mean Time To Repair), MTTF (Mean Time To Failure), and MTTA (Mean Time To Acknowledge). In this blog, we'll explore these metrics along with some best practices and practical applications.

Since I wrote DORA vs DORA!, a number of people have asked if I could give more practical advice on how the PagerDuty Operations Cloud can play a part in helping firms in the Financial Services Industry (FSI) to meet their obligations under DORA. Let me try to do that now.

When it comes to critical incident management, IT teams require a structured approach that will ensure that any cybersecurity event is swiftly remediated. And no incident management plan is complete without a clearly defined incident response team. Whether your team is looking to establish an incident response team from scratch or just improve existing response practices, this blog will help your organization understand what it takes to build the best incident response team.

We approached building a Terraform integration with a sense of trepidation. One of the things that motivates us is building features we think people are going to love using, and Terraform integrations are often not that. Terraform integrations have a number of common pitfalls. Building resources by hand is tedious, and requires deep understanding of their specification. Importing and managing existing resources is also often painful.

We live in a time where immediate communication of critical incidents is vital for maintaining continuous service availability. As companies strive to enhance their IT service management practices, many integrate technologies like Interactive Voice Response (IVR) into their service delivery frameworks. However, this approach may not always be the most effective.

Alert fatigue is the enemy of effective Incident Response. Traditional alert management systems generate a constant stream of notifications, making it difficult for IT operations teams to distinguish critical issues from noise. This leads to: These challenges demand a new approach. Alert intelligence. Alert Intelligence offers a sophisticated solution that leverages machine learning and advanced algorithms to transform alert management.