Logz.io this week revealed it has added a real-time anomaly detection capability to its observability platform that makes it simpler to correlate the impact IT events will have on business processes.
This capability is based on artificial intelligence (AI) models trained using historical data collected via the Logz.io Open 360 platform.
Logz.io CTO Asaf Yigal said this addition to the Open 360 platform enables DevOps teams to employ machine learning algorithms to identify anomalies in mission-critical processes that warrant further investigation. Armed with insights that go beyond simple IT infrastructure consumption metrics, it becomes possible to significantly reduce mean time to resolution, he added.
Logz.io has been embedding AI models within its platform since last year. Still, this latest capability will enable organizations to further bridge a divide between IT and the business that has long plagued many organizations, noted Yigal.
The ultimate goal is to make it simpler for DevOps teams to instantly identify any anomalous application behavior that represents a risk to the business, including cybersecurity events, he added.
The AI capabilities that Logz.io has been steadily adding to its observability platforms are largely transparent to DevOps teams, said Yigal. Instead, Logz.io is embedding multiple types of AI models into its platform that can be invoked in much the same way any other capability is provided, he added. DevOps teams are not necessarily going to need to build their own models to take advantage of AI to observe application behavior at scale, noted Yigal.
The goal is to surface those capabilities consistently at a level of cost organizations can afford, added Yigal.
It’s not likely AI will replace the need for DevOps teams any time soon, said Yigal. After all, there is a reason AI models are referred to as co-pilots versus an automatic pilot, he noted.
It’s not clear to what degree organizations today can correlate the impact an IT event is going to have on the business. But as organizations continue to realize how dependent they are on applications to drive digital processes, the need to bridge the historic divide between IT and the rest of the business has become more urgent. In fact, many of the product and brand champions that organizations now rely on to manage a business unit often have a background in DevOps.
Of course, business professionals that are steeped in IT are still relatively rare but as advances in AI continue to make it simpler to understand how complex application environments function the number of users of an observability platform will naturally expand beyond IT. The challenge is presenting each stakeholder with a view into the IT environment that meets their specific requirements.
It may take a yet before the divide between IT and the rest of the business is permanently bridged but with each passing year it gets narrower. The challenge and the opportunity now is making sure everyone on both sides of that divide understands the art of the possible today that only a few short years ago would have seemed impossible to achieve.
