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AIOps

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

AIOps Essentials: How to use Distributed Tracing for Root Cause Analysis | AIOps Use Cases (4/5)

Artificial intelligence for IT operations (AIOps) is a way to automate tasks that are typically carried out by site reliability engineers (SREs). It aims to make the lives of SREs easier by helping them reduce the amount of noise coming from systems, surface issues more easily, and perform root cause analysis by correlating data from different systems.

AIOps Essentials: Automating actions from AIOps analysis | AIOps Use Cases (5/5)

Artificial intelligence for IT operations (AIOps) is a way to automate tasks that are typically carried out by site reliability engineers (SREs). It aims to make the lives of SREs easier by helping them reduce the amount of noise coming from systems, surface issues more easily, and perform root cause analysis by correlating data from different systems.

Unsolicited Opinions About the Latest Forrester Wave on AIOps, Part 1

Leading industry analyst firm Forrester just published The Forrester Wave™: Artificial Intelligence For IT Operations, Q4 2022. If you're not familiar with Forrester Waves, they're similar to Gartner Magic Quadrants. However, one advantage of a Wave versus a Magic Quadrant is the Wave provides clients a way to customize the evaluation to suit their use cases.

Automating Root Cause Analysis with AIOps

A lot is expected of automation in IT environments in the next few years. By 2024 Gartner predicts IT automation will drive a 20% reduction in unplanned downtime and lower operational costs by 30%. At the same time, the efficiencies generated by IT automation and analytics will allow organizations to refocus 30% of their IT operations management resources from support to “continuous engineering.”

Why DevOps needs an AIOps approach?

This need for AIOps was simmering conveniently and gradually reaching its threshold when the pandemic suddenly hit the world, pushing organizations into remote work. The sudden, global-scale change raised challenges for IT operations teams to monitor and detect incidents in a distributed environment and maintain cybersecurity and compliance. While the pandemic pushed some organizations into the reality of remote work, others were already on their way to digital transformation.

CDI's evolution with BigPanda: from partner to customer

CDI’s partnership with BigPanda has catapulted them to the forefront of modern IT operations. Through reselling and implementing BigPanda’s technology for customers, CDI saw the remarkable value of the platform and began to integrate it into their own business. In the process, they’ve become a partner and a customer—leveraging the product to transform their own operations in ways that previously seemed unimaginable.

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Top 10 DevOps Challenges & How AIOps Can Help

DevOps was conceptualized to bridge the collaborative gap between developers and IT operations. Previously, developers worked independently of operations teams, shipping their work to the IT team and moving on. DevOps created a shared sense of ownership of a product, allowing development and ops teams to work in tandem for a more streamlined and efficient workflow.

2022 BigPanda product year in review

The start of a new year often includes reflecting on what you accomplished over the past year and setting new goals for the year ahead. In 2022, BigPanda set big goals to help organizations prevent and resolve IT and service outages through our innovative Incident Intelligence and Automation platform, powered by AIOps. On average, our customers sent us 2.3 billion events and changes per month, with our largest customers by volume sending us approximately 165 million events each.