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Author: webmaster@sciencelogic.com

News Roundup, March 3, What’s Happening in  AIOps, Observability, and ITOps

1.) CXO Today offers organizations strategies for a seamless cloud migration. 73% of organizations have at least one application nested in the cloud. If you have legacy systems that are increasingly inefficient in terms of unreliable firewalls, having hardware or software that can no longer keep up with the growing business needs, then migrating to… Continue reading News Roundup, March 3, What’s Happening in  AIOps, Observability, and ITOps

Published March 3, 2023
Categorized as AIOps, ITOps, Observability
Read More

News Roundup, March 3, What’s Happening in  AIOps, Observability, and ITOps

ScienceLogic’s SL1 is engineered to excel in today’s hybrid IT environments, discovering legacy gear buried in your on-premises data center as well as services and applications that live out in the cloud. SL1 is serious AIOps for IT operations teams that are serious about getting the most out of their investments in IT. We’ve created… Continue reading ScienceLogic Product Tour: See Across Hybrid IT Environments & Close Visibility Gaps

Published March 2, 2023
Categorized as Hybrid Cloud, SL1, Tools Consolidation
Read More

ScienceLogic Product Tour: See Across Hybrid IT Environments & Close Visibility Gaps

As software systems get more complex, the term Observability is increasingly being used alongside more familiar ones like “Monitoring”. In fact, the terms are not synonymous – they mean slightly different things. Monitoring is the act of watching a system to keep tabs on its overall health – in other words keeping an eye on… Continue reading The Observability Challenge: Limitations of the Human Brain

Published February 28, 2023
Categorized as AIOps, Observability, Zebrium
Read More

The Observability Challenge: Limitations of the Human Brain

The world of software is growing more complex, and simultaneously changing faster than ever before. The simple monolithic applications of recent memory are being replaced by horizontal cloud-native applications. It is no surprise that such applications are more complex and can break into infinitely more ways (and ever new ways). They also generate a lot… Continue reading Machine-Learning Automation: Processing, Storing, & Analyzing Data in the Digital Age

Published February 23, 2023
Categorized as Automation, Zebrium
Read More

Machine-Learning Automation: Processing, Storing, & Analyzing Data in the Digital Age

Challenge Seagate Lyve™ Cloud is a storage-as-a-service platform that delivers S3-compatible object storage with a simple and predictable cost structure. It offers ultra-high durability and scale along with enterprise grade security and uptime. When it comes to the reliability and resiliency of the Lyve Cloud Service, there are simply no compromises. Prior to release, the… Continue reading ML-Driven Root Cause Analysis for Seagate Lyve Cloud

Published February 21, 2023
Categorized as AIOps, Monitoring, Zebrium
Read More

ML-Driven Root Cause Analysis for Seagate Lyve Cloud

Worldwide government IT spending is forecast to total $588.9 billion in 2023, an increase of 6.8% from 2022, according to Gartner. This increase is aimed at streamlining efficiencies, adopting more modern technologies, and reducing technical debt. Initiatives such as migrating services to the cloud, modernizing applications, and fortifying network security are among the primary innovation… Continue reading Government Spending Priorities Focus on Modern Priorities

Published February 21, 2023
Categorized as AIOps, Federal, SL1
Read More

Government Spending Priorities Focus on Modern Priorities

1.) Learn more about what observability is and isn’t from this article in The New Stack. The way we design, build, and deliver software in the enterprise radically shifted in the move to microservices, containers and the cloud — what’s coined as “cloud native.” Another Digital Enterprise Journal survey reported that 58% of organizations lost… Continue reading News Roundup, Feb 17, What’s Happening in  AIOps, Observability, and ITOps

Published February 17, 2023
Categorized as AIOps, ITOps, Observability
Read More

News Roundup, Feb 17, What’s Happening in  AIOps, Observability, and ITOps

ScienceLogic’s SL1 PowerFlow is the heart of our IT workflow automation. SL1 PowerFlow Builder allows operations teams to easily create custom workflows to connect your teams, systems, and tools using low-code, no-code. And now you can see how to build those IT workflows with the SL1 PowerFlow Builder—without scheduling a live demo or free trial.… Continue reading ScienceLogic Product Tour: Boost IT Productivity with Easy-to-Build IT Workflows

Published February 16, 2023
Categorized as Automation, SL1
Read More

ScienceLogic Product Tour: Boost IT Productivity with Easy-to-Build IT Workflows

#1: Observability Full-stack observability is on everybody’s mind right now, and not everybody really understands what it is. And the one key thing that I’ve taken away from this is that it’s not necessarily any new technologies. It’s really a consolidation of existing tools—logs, metrics, traces, and events—that have almost become commoditized at this point.… Continue reading Top Five Takeaways from Cisco Live EMEA

Published February 15, 2023
Categorized as Tools Consolidation, Zebrium
Read More

Top Five Takeaways from Cisco Live EMEA

1.) Here are some best practices for DevOps observability. Infoworld outlines the best practices for DevOps observability. Building observability best practices into the software development lifecycle is critically important today because more apps deliver mission-critical customer and employee experiences. DevOps teams should not be just concerned about faster mean time to resolve major incidents; they… Continue reading News Roundup, Feb 3, What’s Happening in  AIOps, Observability, and ITOps

Published February 3, 2023
Categorized as AIOps, ITOps, Observability
Read More
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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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