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Category: Big Data

Multi-Site Management in a Software-Defined World

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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Multi-Site Management in a Software-Defined World

To meet the needs of your customers, it’s vital for you to move agilely and innovate for the future—not get stuck with the same tools that may have worked for you a decade ago.

Published November 19, 2019
Categorized as AIOps, Big Data, ITOps, Monitoring
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Automation helps you move like a butterfly. While legacy ITOM tools will sting you like a bee.

Are you wondering whether your business should make the move to AIOps now or wait until it is a more convenient time? The answer? Get started right away. And here’s why.

Published November 6, 2019
Categorized as AIOps, Big Data, Cloud, ITOps, ScienceLogic
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Are you ready for AIOps? Here’s what you need to know.

The heart of IT is the data center. When something goes wrong, it can take a team of investigators to figure out what’s wrong.

Published October 31, 2019
Categorized as Automation, Big Data, DevOps, ITOps
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Automating Data Center Incident Response

If you use SAP’s Enterprise Resource Planning (ERP) software, and you’re not using SAP S/4HANA, you’re on a deadline. A deadline that was recently extended to 2025, but still, the clock is ticking.

Published October 30, 2019
Categorized as Automation, Big Data, ServiceNow
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Think 5 years is plenty of time for SAP users to migrate to the cloud? Think again.

Sure, you expect to be spooked by monster movies, haunted houses, and the ghostly goblins who may be lurking in your attic. But why should legacy IT monitoring tools send scary shivers up your spine?

Published October 25, 2019
Categorized as AIOps, Big Data, ITOps, Monitoring
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Are legacy IT monitoring tools keeping you in digital deadlock?

Enterprises must have business agility to meet the needs of customers and compete successfully. But what if you’re spending time and resources to achieve these initiatives and aren’t succeeding?

Published October 16, 2019
Categorized as AIOps, Big Data, ITOps
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Feeling the need for speed? Here’s what might be slowing you down.

When your digital platform is the lifeline of your core business, the role of IT operations (ITOps) really matters. You want ITOps to be agile, efficient, multi-cloud, and automated.

Published August 14, 2019
Categorized as AI/ML, Automation, Big Data, Cloud, ITOps, Monitoring
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3 Reasons Why Your Legacy Monitoring Tools Are Not Enough

The road to digital transformations can take many routes, and ITSM and AIOps are two that are grabbing the headlines. But are these two technologies actually helping enterprises transform business.

Published July 30, 2019
Categorized as AI/ML, AIOps, Big Data, Cloud, ITOps, ScienceLogic
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Digital transformation: Who’s winning, ITSM or AIOps?

NetDesign, a Danish managed service provider, and ScienceLogic want to build on their transatlantic partnership to help organizations digitally transform into a more agile, customer-centric business.

Published July 23, 2019
Categorized as AIOps, Big Data, Cloud, Customer Success, ITOps
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As a leader in AI for IT OPs (or AIOPs), ScienceLogic empowers intelligent, automated IT operations with actionable insights to predict and identify problems faster. Our technology eliminates the difficulty of managing complex, distributed IT services and help businesses fulfill the promise of IT automation and autonomic IT. The ScienceLogic AI Platform combines hybrid cloud monitoring solutions with tools for application monitoring, IT workflow automation, observability, network management, and more. Software for automated root cause analysis helps diagnose issues 10x faster and reduces mean time to repair. By combining multiple solutions on one platform, ScienceLogic enables IT tools consolidation for streamlined problem-solving and lower TCO. With ScienceLogic, customers can manage IT environments at speed, at scale, and in real-time.

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