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Author: webmaster@sciencelogic.com

Shifting From ITOps to AIOps: Introducing SL1 Colosseum

If your business is confronted with the onerous task of understanding and managing an explosion of variety, volume, and velocity (the 3 Vs) of operational data, then you‘re ready for SL1 Colosseum.

Published July 9, 2020
Categorized as AIOps, Behavior-Based AIOps, ITOps, SL1
Read More

Shifting From ITOps to AIOps: Introducing SL1 Colosseum

A famous proverb states, “If you want to go fast, go alone. If you want to go far, go together.”

Published July 6, 2020
Categorized as CMDB, ITOM, ITSM
Read More

ITSM + ITOM = Going Further

On this day in 1997, the world was first introduced to “the one who lived,” when “Harry Potter and the Philosopher’s Stone” was first published in the UK.

Published June 26, 2020
Categorized as AIOps, Cloud, ITOps, Monitoring
Read More

News Roundup, June 26, 2020: What’s Happening in AIOps, ITOps, and IT Monitoring

EMA Research surveyed 400 global respondents from companies that have made strategic investments in automation to address their ITops challenges.

Published June 23, 2020
Categorized as AIOps, Automation
Read More

Data-Driven Automation: A Vision for the Modern CIO

In the old days before Netflix, when most people got their in-home entertainment through television networks, daredevils were a big draw.

Published June 11, 2020
Categorized as AIOps, Automation
Read More

Data-Driven Automation and Other Acts of Derring-Do

I am passionate about leadership and these are some of the tips that I wanted to take the time to share with you. I hope you find some of my tips useful.

Published June 4, 2020
Categorized as Automation, Managed Service Providers (MSPs)
Read More

Guest Blog: 5 Leadership Tips for Empowering Your Team With Automation

We are at an interesting time in the evolution of ITOM. The scope and scale of capabilities, & ease of integration of today’s tech give organizations the means to innovate & compete as never before.

Published June 2, 2020
Categorized as AIOps, Automation, SL1
Read More

Top 10 Steps Toward Successful Data-Driven IT Automation

Sixty-seven years ago today, Edmund Hillary of New Zealand and Tensing Norgay of Nepal became the first climbers to reach the summit of Mount Everest.

Published May 29, 2020
Categorized as AIOps, Cloud, ITOps, Monitoring
Read More

News Roundup, May 29, 2020: What’s Happening in AIOps, ITOps, and IT Monitoring

When ScienceLogic set out on a fresh trajectory, it was a course charted wholly by customer feedback—a company-wide journey toward customer-centricity and positive user experience.

Published May 20, 2020
Categorized as Monitoring, ScienceLogic, SL1
Read More

TrustRadius Top Rated Honors Bolster the ScienceLogic Customer-Centric Journey

Disclosure – I work for Zebrium. Part of our product does what most log managers do: aggregates logs, makes them searchable, allows filtering, provides easy navigation, and lets you build alert rules. So why write this blog? Because in today’s cloud native world (microservices, Kubernetes, distributed apps, rapid deployment, testing in production, etc.) while useful,… Continue reading Is Log Management Still the Best Approach?

Published May 19, 2020
Categorized as AI/ML, AIOps, Zebrium
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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