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Category: Cloud

Transcending Observability for a Cloud-Native Future

Adding more detail to Gartner’s forecast, financial services firm Morgan Stanley expects that the total number of enterprise applications will almost quadruple from 147 million in 2021 to 582 million in 2026, a 32% compound annual growth rate. At the same time, Morgan Stanley believes the share of cloud-native apps will grow from 33% in… Continue reading Transcending Observability for a Cloud-Native Future

Published November 10, 2022
Categorized as Cloud, ITOps, Observability
Read More

Transcending Observability for a Cloud-Native Future

Let’s explore how organizations are using AIOps to solve these issues, let’s first define what AIOps is and isn’t.

Published July 2, 2022
Categorized as AIOps, Cloud, CMDB, Monitoring
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Four Practical Use Cases for AIOps

The agent vs. agentless monitoring debate in ITSM has evolved. Now, you need both methods to collect data in all its forms and a plan for what to do with it.

Published June 17, 2022
Categorized as Automation, Cloud, Monitoring, Skylar One
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Agent vs. Agentless Monitoring

1. AIOps can benefit the finance industry. This piece in Analytic Insights shows how AIOps is essential to being competitive in today’s finance industry. Technology is now fundamental to the functioning of financial institutions, with many organizations relying on technology to supply key services. As a result, system uptime is critical to customer happiness and… Continue reading News Roundup, February 25: What’s Happening in AIOps, ITOps, and IT Monitoring

Published February 25, 2022
Categorized as AIOps, Cloud, ITOM, ITOps, Monitoring
Read More

News Roundup, February 25: What’s Happening in AIOps, ITOps, and IT Monitoring

Goals of Modernizing Government Technology When the U.S. Congress passed the Modernizing Government Technology Act (MGT) of 2017 as part of the 2018 National Defense Authorization Act, it established both funding and a process intended to help bring aging federal IT systems and infrastructure up-to-date with state-of-the-art technologies common in the private sector. According to… Continue reading Modernizing Government Technology: How Federal Agencies Are Progressing on Technology Transformations

Published January 19, 2022
Categorized as AIOps, Cloud, Federal
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Modernizing Government Technology: How Federal Agencies Are Progressing on Technology Transformations

1. Learn how General Datatech plans more acquisitions after getting a new investment. This piece in CRN details how the new leadership at General Datatech made changes, including using ScienceLogic as part of their platform and are anticipating a period of unprecedented growth by making some carefully selected acquisitions. General Datatech, more commonly known as… Continue reading News Roundup, January 14: What’s Happening in AIOps, ITOps, and IT Monitoring

Published January 14, 2022
Categorized as AIOps, Cloud, ITOM, ITOps, Monitoring
Read More

News Roundup, January 14: What’s Happening in AIOps, ITOps, and IT Monitoring

How to Migrate to a Service-Centric Model As enterprises begin to migrate away from device-centric management to a service-centric model of IT operations, it is vital that IT operations and management (ITOM) leaders start by addressing the need for comprehensive visibility across their IT infrastructure. Gaining a contextual view of your full-stack service topology, based… Continue reading Designing and Migrating to a Service-Centric Management Model with ScienceLogic

Published December 9, 2021
Categorized as AIOps, Cloud, ITOM, ITOps
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Designing and Migrating to a Service-Centric Management Model with ScienceLogic

Entertainer Jim Stafford had a hit song in 1974 entitled “Spiders and Snakes.” I was thinking that would be a good song to put on a playlist for the ScienceLogic crew that takes the road trip to the Department of Defense Test Integration Center (TIC) in Fort Huachuca, located in the desert of southeast Arizona.… Continue reading ScienceLogic’s DoDIN APL Certification Journey: Watch out for Spiders & Snakes

Published December 7, 2021
Categorized as AI/ML, AIOps, Cloud, Federal, Security
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ScienceLogic’s DoDIN APL Certification Journey: Watch out for Spiders & Snakes

1. Check out five AIOps advances that might just rock your world. According to TechBeacon, the growth in AIOps can be contributed  to two key drivers. First, as enterprises move to complex architectures such as multi-cloud, they eventually hit a wall when they cannot manage the increasing number of heterogeneous systems with the same resources… Continue reading News Roundup, December 3: What’s Happening in AIOps, ITOps, and IT Monitoring

Published December 3, 2021
Categorized as AIOps, Cloud, ITOps, Monitoring
Read More

News Roundup, December 3: What’s Happening in AIOps, ITOps, and IT Monitoring

AIOps and Digital Transformation in 2022 With apologies to Mel Tormé, it’s the time of year when kids look forward to opening presents and adults look forward to reading IT forecasts for the coming year. Tech industry prognosticators have been busy crunching numbers, reading tea leaves, and peering intently into crystal balls, and our intrepid… Continue reading AIOps and Digital Transformation Predictions for 2022

Published December 1, 2021
Categorized as AIOps, Cloud, CMDB, Monitoring
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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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