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Category: Big Data

Streamlining Success:  A Comprehensive Guide to IT Operations Efficiency with ScienceLogic 

In today’s digital-first landscape, where IT underpins almost every aspect of business operations, efficiency in IT isn’t just a bonus; it’s foundational for reducing operational costs, improving performance, mitigating risk, driving innovation, and staying competitive. Core areas to focus on when driving operations efficiency include infrastructure management, business service management, security, and monitoring. While the… Continue reading Streamlining Success:  A Comprehensive Guide to IT Operations Efficiency with ScienceLogic 

Published November 12, 2024
Categorized as AIOps, Big Data, Business Services, Skylar AI
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Streamlining Success:  A Comprehensive Guide to IT Operations Efficiency with ScienceLogic 

A typical enterprise generates a flood of information every day in the form of infrastructure and network data, operational and application data, security data, user access data, and more. With the right visualization capabilities, companies can thoroughly examine the multitudes of data they create daily to glean critical insights. The catch, however, is capturing actionable… Continue reading Combining Data Visualization and Advanced Analytics for Stronger Data Insights

Published September 18, 2024
Categorized as AI/ML, AIOps, Automation, Big Data
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Combining Data Visualization and Advanced Analytics for Stronger Data Insights

As organizations increasingly look to leverage the benefits of both on-premises and cloud environments, hybrid cloud architecture has gained traction. Today, 75% of organizations worldwide have adopted a hybrid cloud strategy.   However, hybrid IT isn’t for everyone. Successfully implementing a hybrid cloud strategy – including determining the best location for critical assets and ensuring optimal… Continue reading 6 Questions to Ask When Building a Hybrid Cloud Strategy 

Published September 12, 2024
Categorized as AI/ML, Big Data, Business Services, Cloud, Hybrid Cloud, Monitoring
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6 Questions to Ask When Building a Hybrid Cloud Strategy 

What are CMDB, Asset Management, and Incident Management? And why is having clean, accurate data so important to an organization?

Published June 6, 2022
Categorized as Automation, Big Data, CMDB
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CMDB vs. Asset Management: Differences Explained

Simple data collection is not enough. Today’s enterprises need to know how to normalize data and put it to work. In the 1960s, the petroleum company Esso ran a highly successful advertising campaign urging motorists to “put a tiger in your tank.” It was a golden age for the automobile as tailfins shared the road… Continue reading How to Normalize Data: Put a Tiger in Your Tank

Published April 28, 2021
Categorized as AIOps, Big Data, ITOps
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How to Normalize Data: Put a Tiger in Your Tank

Helping their customers address IT complexity, tool sprawl, and lack of visibility. GDIT created an integrated IT framework using SL1, a leading hybrid IT monitoring, automation platform for AIOps.

Published February 2, 2021
Categorized as Automation, Big Data, ITOps, Monitoring
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Modernizing IT Service Delivery—Accelerating Positive Business Outcomes Through AIOps

Over the weekend, a major data breach occurred—leaving government agencies and enterprises vulnerable. What can we learn from this event?

Published December 15, 2020
Categorized as Automation, Big Data, Federal, Monitoring, Security
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Securing Your Monitoring Environment – What You Need to Know

Cisco IT wanted to digitally transform their IT operations. They looked to ScienceLogic for help. Learn about their challenges and the successes along the way.

Published October 29, 2020
Categorized as AIOps, Big Data, Cloud, Customer Success
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Cisco IT: A Transformational Journey to AIOps

Artificial intelligence for operations management (AIOps) has not only ushered in a new era of IT operations management (ITOps); AIOps is helping DevOps to work in concert with ITOps.

Published February 11, 2020
Categorized as AI/ML, AIOps, Big Data, ITOps
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AIOps and DevOps: Overcoming Conflict, Empowering Innovation

Organizations are moving to the cloud & software-defined architectures to build data center environments. Convenient for business users, but it creates complexity for ITOps. How can you satisfy both?

Published January 23, 2020
Categorized as Big Data, Cloud, ITOps, Monitoring
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