Follow Datanami:

Tag: AIops

TIBCO’s ModelOps Takes AI Models Out of the Lab and Onto on the Road

Data management firm TIBCO has unveiled its new TIBCO ModelOps platform designed to enable faster deployment of AI models at scale. The Palo Alto-based company cited a 2021 survey from NewVantage Partners that showed Read more…

The Mystery of Predictions in AIOps

The main promise of AIOps (Artificial Intelligence for IT Operations) is to predict issues that could be major incidents and resolve it before it happens with Machine Learning and AI algorithms. How can such predictions Read more…

AIOps Platform Provider Selector Raises $28M Series A

Selector, an AIOps, analytics and observability platform provider, has announced it raised $28 million in a Series A funding round, bringing its total funding to $33 million. Selector will use these new funds for its mar Read more…

Observability and AIOps Tools Rise with Big MELT Data

The hottest space in big data at the moment arguably exists between the two pillars of AIOps and observability, where a crush of metric, event, log, and trace (MELT) data threatens to overwhelm IT professionals. Not surp Read more…

Cribl Seeks Control of Observability Data Run Amok

If you’re struggling to keep a handle on the growing mounds of observability data in your shop, you’re not alone. Many companies today are straining to keep up with daily log data rates exceeding 10 to 100 terabytes Read more…

Companies Drowning in Observability Data, Dynatrace Says

If you’re finding it difficult to manage a sprawling infrastructure spanning multiple clouds running constantly changing containerized workloads, you’re not alone. According to a study released this week by Dynatrace Read more…

Kubernetes Adoption Widespread for Big Data, But Monitoring and Tuning Are Issues, Survey Finds

Kubernetes may be a complex piece of software that can be difficult to monitor and manage. But the benefits of running applications in the popular container orchestration system appear to outweigh the disadvantages, beca Read more…

IBM Brings AI to Monitor Petabytes of Network Traffic

As networks and applications become more complex, so does unravelling performance problems. In fact, even detecting the existence of errors in a SD-WAN can be a challenge in our virtual-everything world. To help solve th Read more…

AIOps: Beat the DevOps Arms Race

When we consider operational challenges in the technologi field, it’s tempting to think of them as a continual battle. We detect an issue, remediate it, and put improvements in place to prevent it from recurring. Detec Read more…

OpenTelemetry Gains Momentum as Observability Standard

Traditionally, companies that needed application performance management (APM) capabilities turned to closed-source tools and technologies, such as Splunk, New Relic, and Dynatrace. But in the emerging observability world Read more…

The True Cost of IT Ops, The Added Value of AIOps

Today’s IT landscape is complex, hybrid, and fast-moving, and the adoption of multi-cloud infrastructure, applications, and new digital transformation initiatives is accelerating. IT operations teams, playing a vital r Read more…

Who’s Winning In the $17B AIOps and Observability Market

One of the hottest areas of big data at the moment is log monitoring and its adjacent disciplines, AIOps and cloud observability. The market, which some estimate is worth $17 billion per year, is in the midst of a transf Read more…

AI-Enabled DevOps: Reimagining Enterprise Application Development

Today, advances in artificial intelligence (AI) and machine learning (ML) have opened up significant application possibilities, from sensor-driven weather prediction to driverless cars to intelligent chatbots. Developmen Read more…

AIOps Becomes a Must-Have Tool In Age of COVID-19

“Is it Monday or Saturday?” You can be excused for forgetting which day of the week it is. After all, the days have sort of blurred together during the COVID-19 lockdown. It’s a minor change at the individual level Read more…

Optimizing Utilization Forecasting with Artificial Intelligence and Machine Learning

Contextual blindness is one major risk that IT teams dealing with huge volumes of data are either unaware of or overlook, assuming it to be "the nature of their work." Most IT teams use multiple tools for network analy Read more…

AIOps Startup with ‘Open’ Emphasis Raises Cash

Tech investors are betting that automated IT operations will be among the first significant enterprise applications for AI. Artificial intelligence for IT operations, or AIOps, and the application of machine learning Read more…

Lack of Visibility in AIOps Concerning, BigPanda Survey Says

Nearly one-third of the folks who took a recent BigPanda survey said they are evaluating AIOps tools to help them get a firmer grip on increasingly complex IT operations. However, the lack of visibility into today's AIOp Read more…

AIOps and the Kubernetes Revolution

Kubernetes has emerged as the defacto standard for container orchestration in the new cloud architecture. There's no doubt about it. But hidden from view in the race to K8s adoption is a new form of complexity that threa Read more…

‘Manifesto’ Touts the Marriage of AI, Ops

Given the growing debate about whether AI qualifies as what used to be referred to as “appropriate technology,” a consensus is building around the notion that automation is ideally suited to enterprise IT, particular Read more…

Early AIOps Adopters Not Sold on IT Advice

AIOps, the emerging IT operations technology that uses machine learning and AI techniques to automate digital infrastructure, has matured to the point where vendors are releasing surveys promising insights into how the t Read more…

Datanami