Operations | Monitoring | ITSM | DevOps | Cloud

The recent CrowdStrike outage highlights the urgent need for robust observability solutions and reliable IT infrastructure. On that Friday, employees started their days with unwelcome surprises. They struggled to boot up their systems, and travelers, including some of our own, faced disruptions in their journeys. These personal frustrations and inconveniences were just the beginning.

All eyes are on generative AI. Enterprise IT teams are looking to Gen AI to translate the high volume of data from their services architecture into actionable insights. The goal: Improve operational efficiency and quality of work. But it’s challenging to sort through the hype (and confusion) to identify which vendors have GenAI capabilities that can provide true impact and value to their IT and service operations. One capability in particular is AI-powered copilots.

If you're a member of a Site Reliability Engineer(SRE), DevOps, or IT operations team, you're likely familiar with the challenges of maintaining system uptime and reliability. That's where SRE tools come in. They are the unsung heroes that help maintain reliability and performance. In today's tech-driven world, these tools are more important than ever. This guide is here to help you choose the best SRE tools for your enterprise team.

Anyone who’s worked in a customer-facing role knows the pressure to find the correct answers quickly. Emotions are high when something is broken, or there’s an outage. The customer is angry. You’re stressed. And your boss is watching and wondering why the problem hasn’t been fixed. You need to troubleshoot quickly and provide the right information ASAP. As a support professional, you want to give customers and stakeholders the best possible experience.

Global IT disruptions and outages are becoming the new normal, testing the operational resilience of businesses everywhere. How well prepared your team is to handle major incidents determines how fast the business can return to normal. Operations Centers are relied on to manage these disruptions and ensure quick recovery. They’re the point of entry for incoming data that holds important signals of impending failure that impact customers, the business, and the bottom line.

Today, businesses are increasingly reliant on their ability to provide uninterrupted service and respond swiftly to any disruptions. Whether it's a website outage, a malfunctioning application, or hardware failure, downtime can significantly affect a company's operations. Customers expect quick resolutions, and delays can result in dissatisfaction, loss of trust, and ultimately, business failure.

What comes to mind when you hear that an IT component has “five 9s availability”? Five 9s availability of >= 99.999% is the peak metric for IT availability. Five 9s predicts that a measured component — whether it is a server, communication line, app, service, or any other item — will be available at least 99.999% of the time during a specific period.

By breaking down the silos between observability, IT operations, and service management, teams can improve service delivery and enhance IT incident management. However, this is more easily said than done. The average BigPanda customer uses more than 20 observability and monitoring data sources. Combining mountains of alert data with legacy event management systems can make it almost impossible to sift through the noise to find the most important alerts.

While major outages like the recent CrowdStrike incident dominate headlines, those of us in the trenches ensuring Internet Resilience know that most of our issues are not necessarily global but localized by geography, autonomous systems, or something else. Micro-outages – those elusive, localized incidents – can pose the most persistent threat to observability.