The latest News and Information on AIOps, alerting in complex systems and related technologies.
Proactive Incident Analysis, Diagnosis, and Resolution with Service-Centric AIOps. Alerts define the state of an infrastructure resource, application, or any other IP discoverable device. Organizations take action on alerts based on business impact and priority and ensure that IT service performance meets the required standards for availability, usability, and security.
OpsRamp was recently featured in the 451 Research Impact report, OpsRamp Keeps Up With The Competition, Investing in ML, Kubernetes Monitoring. This report, written by Nancy Gohring, 451 Research’s senior analyst for Application and Infrastructure Performance, demonstrates how OpsRamp is one of the few vendors that has organically built and delivered a transformational SaaS solution for modern IT operations, DevOps, and Site Reliability Engineering teams.
By 2022, Gartner predicts that 40% of large enterprises will adopt AIOps solutions to cope with never-ending alert floods and ensure faster recovery from disruptive IT outages. The AIOps market is experiencing rapid growth with explosive enterprise adoption, accelerated revenue growth and continued investments from IT operations players.
The OpsRamp winter release delivers greater service-centricity and context for hybrid infrastructure management with intelligent incident management and cloud native monitoring. The January 2019 release features innovations such as a new UI for service maps, enhanced AIOps capabilities and cloud native monitoring features.
OpsRamp, the service-centric AIOps software-as-a-service (SaaS) platform for the hybrid enterprise, today announced new topology maps, enhanced artificial intelligence for IT operatzions (AIOps) features and new monitoring capabilities for cloud native workloads.
As engineers, we are constantly bombarded with complex machine data. In order to better monitor and troubleshoot our environments, we must analyze and gain an accurate understanding of this data to best evaluate how our systems are performing and combat any issues that may occur. Yet, sifting through this data while managing the added intricacies of serverless architecture, microservices, containers, and other technologies make our jobs increasingly difficult to navigate.
