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AIOps

The latest News and Information on AIOps, alerting in complex systems and related technologies.

Data-centric AIOps: The Next Frontier With Observability Pipelines

Data-centric AI is the new frontier in AI, where the models themselves now remain stationary while tools, techniques and engineering practices improve data quality. As Andrew Ng puts it, “Data-centric AI is the discipline of systematically engineering data to build an AI system.”

Resolving a Critical Incident in Core Banking: A Deep Dive into Application Patch Malfunction

In the dynamic environment of core banking systems, maintaining seamless operations is crucial. However, unforeseen complications can arise, leading to critical incidents that demand immediate and effective resolution. A recent incident involving an application patch malfunction presents a compelling study on the intricacies of managing and resolving system anomalies in real-time.

The Business Cost of Downtime and How AIOps Enables Faster Fixes

IT downtime is no doubt a costly business. As soon as service starts to degrade, companies start to lose money. Studies by Gartner and IBM show that the average cost of unplanned downtime to enterprises ranges between a staggering $5,600 and $9,000 per minute. For ecommerce businesses, like Amazon, the stakes are even higher, potentially resulting in a loss of up to $220,000 for every minute of downtime.

Understanding IT discovery for ITSM and modern IT stacks

IT discovery is the process of systematically identifying all existing IT components within a tech stack. It involves discovering hardware and software, understanding their configurations, and mapping their interdependencies. Much like your annual doctor visit can proactively identify potential health issues, your IT discovery process can also flag problems and deliver insights to ensure improved operational well-being.

ScienceLogic Chronicles Pioneering AIOps Journey in New Book "Innovation: Empowering IT Operations for the Future"

ScienceLogic announces the publishing of a new book, "Innovation: Journey and Outcomes for the AIOps Revolution," that chronicles the journey of the company as a trailblazer in IT Operations Management (ITOM) and the ever-expanding realm of AIOps. Authored by CEO David Link, the book delves into the narrative of how the ScienceLogic SL1 platform has grown to empower organizations to navigate the intricate challenges of managing complex, distributed IT services with unparalleled speed, scale, and real-time precision.

How We Fixed a Big Memory Problem on an App Server written in C++

In server management, high memory utilization is more than just a metric; it’s like a lighthouse signaling potential performance degradation, service disruption, and, in severe cases, complete system downtimes. Here we delve into a recent incident involving an App Server for one of our customers, which underscores the criticality of proactive monitoring, swift incident response, and strategic problem resolution.
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Take control of all your Telemetry Data with CloudFabrix Robotic Observability Pipelines

CloudFabrix, the Robotic Data Automation Fabric inventor, announced “Data Observability Pipelines” for dynamic Data Ingestion and automation for any data source and destination. The solution acts as a data management and integration service that uses robotic processes to automate data tasks, such as data integration, data ingestion, cleansing, transformation, and enrichment. Automated data management saves time, improves data quality, and streamlines data workflows.

Alert payload standardization: Your secret to better AIOps alert correlation

Monitoring tools share alerts in a variety of formats, with inconsistent data points and crucial information missing. That leaves you and your team stuck in the middle, trying to analyze and act on incomplete or irrelevant alerts requiring lots of manual intervention, time, and energy to communicate and coordinate during incident response. Standardizing your alert payloads is a key starting point if you want to improve your alert correlation.