Operations | Monitoring | ITSM | DevOps | Cloud

Real problems need real solutions. We’ve all heard the same lofty claims about AI in IT operations: “Reduce alert noise” and “Detect anomalies.” While these sound great on paper, they often fall flat when critical systems fail during peak buying seasons or a major security threat goes undetected.

A benchmark can be interpreted as a standard of comparison used to assess something. In everyday life, for example, when we want to buy a new cellphone and want to know which one is faster, we can see the speed test (benchmark) by measuring how fast the cellphone opens applications or runs games. From there, we can compare which cellphone is better based on the numbers produced.

The amount of traffic handled by AI systems can’t be overstated. Over half of all organizations in India, the UAE, Singapore, and China use AI, and traffic from generative AI sources jumped by 1,200% since July 2024. While demand for AI-powered workloads is steadily increasing overall, traffic to individual AI providers is much more unpredictable. User demand spikes and wanes unexpectedly, but like any service, users expect you to always be available and responsive.

Every engineering leader knows the stress of an upcoming seasonal spike. Whether it’s tax season, open enrollment, or Black Friday, there’s always that moment where someone says, “Are we actually ready?” It’s usually followed by a scramble: auditing services, chasing down owners, updating spreadsheets, running perf tests, checking alerting thresholds, verifying infra configs—much of it manual, fragmented, and slightly different every time. It’s exhausting.

This in-depth analysis examines PagerDuty’s pricing structure for 2025, going far beyond the advertised rates to uncover the true total cost of ownership. We break down the additional fees, essential add-ons, implementation timelines, and ongoing maintenance costs that most organizations discover only after committing.

Atlassian recently dropped a bombshell: OpsGenie is shutting down. If you’re an OpsGenie user, this news probably hit hard. After investing time setting up your alerts, configuring oncall schedules, and training your team on OpsGenie, you’re now faced with finding and migrating to a new incident management solution. We understand the frustration and uncertainty you’re feeling right now. The reactions on Hacker News show you’re not alone in this challenge: Take a deep breath.

We talk a lot about how website availability affects your business in revenue and brand perception. We throw out statistics, and we give dire warnings, but until you’ve taken the time to do the research, you don’t really know how the numbers affect your business. In this article, we step through the issues associated with downtime, and we show you how to quantify the impact of website downtime on your business’s revenue.

First and foremost, we are human. We can’t get around it, and some things will make us anxious, frustrated, and mad. As much as we like to think we are optimists, we frequently don’t notice something until it disappoints us in some way. In this article, we will take a look at how web performance and psychology impact user satisfaction.