Operations | Monitoring | ITSM | DevOps | Cloud

Agentic AI has sparked a ton of excitement in IT. These intelligent agents can analyze signals, interpret requests, and recommend actions with surprising accuracy. But left on their own, they struggle to translate those insights into reliable execution. The end result is a fragmented picture of great thinking... but limited doing. This is why orchestration matters.

A disaster recovery plan (DRP) is the strategic backbone of your organization’s resilience. It defines your objectives, outlines responsibilities, and sets the critical promise you make to the business: your recovery time objective (RTO). This plan is indispensable. However, a strategy is worthless without the tactical ability to implement it.

The past few years have seen the incredible rise of cloud-native AI start-ups, many of them born during the pandemic. These companies emerged agile, experimental, and ready to scale. But as their ambitions grow and their AI models become more complex, they face a critical crossroads: how to manage infrastructure sustainably while continuing to innovate at speed. In the early days, public cloud services were the obvious choice.

Large enterprises today grapple with increasingly complex IT environments - spanning multiple cloud services, hybrid infrastructures and countless applications. Exacerbated by technology silos, the sheer volumes of data generated in such environments can quickly overwhelm IT teams, impairing their ability to identify and respond to customer impacting issues before outages strike.

While writing our 2024 recap, we found that teams handled over 2.2 million new incidents. Critical incidents alone tripled, increasing from 3,000 in 2023 to 9,200 in 2024. Dealing with such a large volume of incidents is not an easy task. And dealing with them manually is definitely not easy. Your valuable time goes into routine tasks like creating tickets, setting up war rooms, and notifying stakeholders. These keep you from fixing the actual problem.

The cloud, as we know it today, was created as recently as 2006. For most of its lifespan since then, companies have been throwing money at cloud services with abandon. The competitive edge gained by having the newest, best, and most powerful tools at their disposal made it worthwhile for companies to spend ever-increasing amounts without too much worry.