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Resource Type: Blog

Why Kubernetes will deliver on the hype and avoid the OpenStack pitfalls

Both open source platforms support multi-vendor application deployment, orchestration, and management. But while OpenStack may have found its niche, Kubernetes is becoming the dominant vehicle.

Published March 19, 2019
Categorized as AI/ML, Automation, Big Data
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Why Kubernetes will deliver on the hype and avoid the OpenStack pitfalls

In addition to Incident Management, SL1 is certified for CMDB, Service Catalog, and Change Management workflows.

Published February 28, 2019
Categorized as AI/ML, CMDB, Monitoring, ServiceNow, SL1
Read More

ScienceLogic SL1 Achieves Multi-Release ServiceNow Certification: Here are Five Benefits You’ll Immediately Receive

AIOps is an innovative framework that combines AI/ML to address operational complexity in IT – ScienceLogic is enabling our partners to capitalize on this opportunity.

Published February 27, 2019
Categorized as AIOps, Cloud, ITOps, SL1
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Capitalizing on AIOps for Channel Partners

In today’s conclusion to our three part series, we’ll discuss the savings associated with minimizing your monitoring tool kit.

Published February 19, 2019
Categorized as Big Data, Cloud, Monitoring
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Three Reasons Why You Might Have Cloud Monitoring Problems: Part 3: A Solid Case for Hard and Soft Cost Savings (Show Me the Money!)

The Big Four’s exit from the IT monitoring landscape gives an opportunity to upgrade/consolidate your monitoring tools. Today, we’ll focus on the people and processes necessary to monitor the cloud.

Published February 13, 2019
Categorized as Big Data, Cloud, ITOps, Monitoring
Read More

Three Reasons Why You Might Have Cloud Monitoring Problems – Part 2: People and Processes

This is the first of a three-part blog series devoted to explaining why you might have cloud monitoring problems. Today we’ll discuss the shifting monitoring landscape and what it means for you.

Published February 6, 2019
Categorized as Big Data, Cloud, Monitoring
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Three Reasons Why You Might Have Cloud Monitoring Problems: Part I: The Shifting Monitoring Landscape

We covered the changing monitoring landscape and what it means for organizations looking to replace “The Big Four.” For some, the answer is to consolidate their existing tool set; but is it enough?

Published January 31, 2019
Categorized as AIOps, Big Data, Monitoring, SL1
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Consider This When Replacing the Big Four Monitoring Platforms Part 2:

This is the first of a two-part series focusing on what you need to know about monitoring your ecosystem. In Thursday’s blog, we’ll highlight what to look for in a “Big Four” replacement.

Published January 29, 2019
Categorized as AIOps, Big Data, Monitoring, SL1
Read More

Consider This When Replacing The Big Four Monitoring Platforms

If you’re trying to decide between adopting a serverless or container architecture, here are some things for you to consider.

Published January 9, 2019
Categorized as AIOps, Cloud, Monitoring, SL1
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Serverless or Containers? Here’s What You Need to Consider

As companies continue to get overwhelmed with Big Data, many are turning to AIOps to help. Here’s what you need to know about AIOps and what to look for.

Published January 3, 2019
Categorized as AIOps, Automation, Big Data, Monitoring, SL1
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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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