Organizations around the world are facing heightened pressure to accelerate their digital transformation, as their customers, competitors, and business stakeholders all recognize doing so is no longer a company strategy, but a matter of survival. At the same time, these organizations are experiencing an equally difficult counter-pressure resulting from this transformation: complex multicloud environments and a growing inability to manage them ...

Enterprise ITOM and ITSM teams have been welcoming of AIOps, believing that it has the potential to deliver great value to them as their IT environments become more distributed, hybrid and complex. Not so with DevOps teams. It's safe to say they've kept AIOps at arm's length, because they don't think it's relevant nor useful for what they do. Instead, to manage the software code they develop and deploy, they've focused on observability ...

In Episode 8, Michael Olson, Director of Product Marketing at New Relic, joins the AI+ITOPS Podcast to discuss how AIOps provides real benefits to IT teams ...

In Episode 2, Jonah Kowall, CTO of Logz.io and former Gartner Research VP, joins the AI+ITOPS Podcast to discuss some of the hottest topics in ITOps today, including AIOps, Open Telemetry, Observability, and the challenges of Big Data in AI ...

As our production application systems continuously increase in complexity, the challenges of understanding, debugging, and improving them keep growing by orders of magnitude. The practice of Observability addresses both the social and the technological challenges of wrangling complexity and working toward achieving production excellence. New research shows how observable systems and practices are changing the APM landscape ...

20 years ago, IT Operations teams around the world needed a way to know when their J2EE Applications began having problems, and how to fix them when they occurred. That was the onus for my favorite enterprise IT technology: Application Performance Management (APM). It's been two decades since APM began appearing in IT shops, and the industry has evolved quite a bit ...

Industry experts offer predictions on how APM and related technologies will evolve and impact business in 2020. Part 2 covers AIOps, AI and Machine Learning (ML) ...

In a digital world where customer experience defines your business, is your APM solution doing its job? This may seem like a strange question to open a technical blog on Application Performance Management (APM), but it's not. With customer experience today largely driven by software, we think there's no more important question to ask ...

Monitoring and observability requirements are continuing to adapt to the rapid advances in public cloud, containers, serverless, microservices, and DevOps and CI/CD practices. As new technology and development processes become mainstream, enterprise adoption begins to increase, bringing its own set of security, scalability, and manageability needs. I sat down with Stephen Elliot, VP of Management Software and DevOps at IDC, to discuss where the market is headed, how legacy vendors will need to adapt, and how customers can get ahead of these trends to gain a competitive advantage ...