Intelligent observability: The answer to enterprise data overload

As data volumes soar, intelligent observability helps DevOps and SRE teams shift from alert fatigue to insight-driven reliability and service uptime.

- BY RAVI IYER

Digital transformation has opened the floodgates to data, more than most teams can realistically manage. To put things into perspective, the amount of data created, consumed, and stored is expected to soar to 394 zettabytes by 2028. That is enough to store nearly 39 trillion high-definition movies, or more than 4,800 films for every person on Earth. This fierce growth is overwhelming, especially as technologies like artificial intelligence (AI), with its data-hungry nature, become more central to operations.

For DevOps and Site Reliability Engineering (SRE) teams, the challenge is making sense of vast streams of data while spotting anomalies before they escalate into major incidents. The problem is not about the sheer volume of data but the noise that comes with it. That is why around 80% of professionals report feeling overwhelmed as they constantly switch between tools, juggle nonstop notifications, and try to piece together a complete picture from scattered data sources.

Amid this data deluge, intelligent observability emerges as the solution, bringing order to the chaos. It also empowers teams to deliver near-uninterrupted services by enabling proactive identification and the prevention of potential disruptions, as well as rapid resolution of issues when they occur.

THE PARADOX OF DATA AND DIGITAL SILOS