Operations | Monitoring | ITSM | DevOps | Cloud

An auditor asking for evidence of your deployment process and an incident review asking what went wrong are asking about the same things. The difference is timing. One catches the weak point before it costs you anything. The other catches it in the middle of an outage, with a customer on the phone.

When an incident impacts thousands of users across multiple products, one-size-fits-all communication simply doesn't work. External and internal stakeholders want transparency, not information overload. Too much information can create as many problems as too little. For global financial technology leader Broadridge, managing incident communications across multiple clients, products, and internal stakeholder groups with precision was critical.

Multiple Google Cloud services in europe-west2 (London) experienced service disruptions, elevated error rates, API timeouts and processing latency on October 20, 2026, according to Google's incident page. Google's preliminary incident report records the start at 23:00 US/Pacific on October 19, 2026 (06:00 UTC on October 20) and the end at 05:10 US/Pacific on October 20 (12:10 UTC) - 6 hours 10 minutes.

Incidents now unfold across more connected systems and at greater speed. Here’s what Forrester says IT leaders should rethink as AI takes a larger role in investigation, response, and recovery.

It's 3am and a complaint has made its way to you: customers can't see product reviews. Nothing has crashed, and no alert points anywhere useful. Somewhere in your stack one service is failing, and the one showing the error is probably not it. Before you can fix anything you have to find it, and that search is most of your night. Now imagine you open the laptop, type one sentence and go grab a coffee. By the time you’re back, the root cause is ready, evidence attached. Your job is to check it.

The Google Cloud London outage on Tuesday, October 20, 2026 began as a power event inside a single zone, europe-west2-b, and within hours it was the reason people across Britain could not open their banking apps, process orders, or join remote court hearings.

In the last few months we have focused more on improving the usefulness of our service status pages, added new sections for outages and reliability, and improved SEO (that's part of the business!). Product changes include new services and improvements in parsing and detection.

The debate is no longer whether AI belongs in ITOps; it’s about how quickly it can be implemented, how to measure it, and who’s accountable when it acts. And although IT leaders across industries are scrambling to integrate agentic AI into their operations, those deployments are facing serious challenges. A new Harris Poll survey of more than 300 U.S. data and AI decision-makers puts a number on the problem.

Effective cloud monitoring and incident response starts with understanding service health, collecting useful diagnostic data, and establishing a clear process for investigating and resolving problems. Whether you use AWS, Azure, Google Cloud, or several providers, the goal is to understand how your systems are performing and take action when reliability is at risk. A dashboard showing healthy virtual machines does not necessarily mean customers can complete a transaction.