Operations | Monitoring | ITSM | DevOps | Cloud

Machine Learning (ML) for Root Cause Analysis (RCA) is the state-of-the-art application of algorithms and statistical models to identify the underlying reasons for issues within a system or process. Rather than relying solely on human intervention or time-consuming manual investigations, ML automates and enhances the process of identifying the root cause.

As the emerging technologies team within ServiceNow digital transformation (DT), we’re always searching for new technology that can solve complex problems. When we saw how generative AI capabilities could deliver rich experiences and unlock the potential of our technology, people, and processes across the organization, we immediately pivoted to embrace it.

The Internet of Medical Things (IoMT) has revolutionized the healthcare industry, connecting medical devices to the internet and allowing for greater patient care. However, with this new technology comes new security threats. Hospitals must be aware of these risks and understand how to find, fix and secure connected medical devices to protect their patients from cyberattacks.

Terraform, a powerful Infrastructure as Code (IAC) tool, has long been the backbone of choice for DevOps professionals and developers seeking to manage their cloud infrastructure efficiently. However, recent shifts in its licensing have sent ripples of concern throughout the tech community. HashiCorp, the company behind Terraform, made a pivotal decision last month to move away from its longstanding open-source licensing, opting instead for the Business Source License (BSL) 1.1.

The commercial version of InfluxDB 3.0 is a distributed, scalable time series database built for real-time analytic workloads. It supports infinite cardinality, SQL and InfluxQL as native query languages, and manages data efficiently in object storage as Apache Parquet files. It delivers significant gains in ingest efficiency, scalability, data compression, storage costs, and query performance on higher cardinality data.