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ScienceLogic Announces Hollywood Release of SL1 Platform

ScienceLogic introduced a combination of machine learning and automation capabilities with the release of Hollywood, a major update to its flagship SL1 platform.

With this release, ScienceLogic SL1 delivers a more intuitive approach for converting AI insights into automated action. AI/Machine Learning (ML) techniques are used to learn from customer IT environments and provide human-friendly insights for up to 10x faster issue resolution. Generative AI can review information collected from across hybrid cloud environments and create easy-to-understand analysis that all levels of IT can use to take action. AI also recommends automation workflows to run, or can be set to run them automatically, deflecting issues from human operators and allowing IT – and by extension – the business to run more efficiently.

AI and automation capabilities are built directly into an improved, more intuitive SL1 user interface, which displays IT operational information at the business service level for rapid understanding of business impact and improved Mean Time to Repair (MTTR). Combined with integrations to Slack, WebEx, and other collaboration systems, SL1 sets the bar for engaging and coordinating action across multiple teams, ensuring issues can be quickly resolved.

“With the launch of Hollywood, ScienceLogic customers will realize the first of many benefits of our 2022 acquisition of Zebrium. We have fully integrated its ML-driven root cause analysis capabilities into the SL1 platform and coupled with our automation capabilities to deliver support for truly self-healing services across the IT environment,” says Michael Nappi, CPO at ScienceLogic. “This is advanced AIOps, smarter, and easier - and it’s only the beginning. We’re excited about the potential for even more advanced analytical capabilities to fundamentally transform IT operations in the year ahead.”

The ScienceLogic Hollywood release includes:

- AI/ML- Driven Root Cause Analysis (RCA): AI provides rapid RCA in an intuitive natural language format to radically reduce time the time to isolate, identify and resolve service impacting issues. The ML model is easy to provision and train - and provides accurate and actionable insights without human supervision - so your IT team can focus on delivering new services to the business.

- Modern, Unified User Experience: a more modern and intuitive interface allows customers to rapidly understand the wealth of services delivered to the business and the relationship of infrastructure and application components to those services.

- SL1 Low / No Code Toolkit: A comprehensive SL1 toolkit enables DevOps teams to quickly build or customize PowerPacks - monitoring templates that connect unique devices/services/applications and describe how SL1 should monitor and visualize those components in the platform.

- New Workflow Integrations for Faster Issue Response: More than ever, IT teams communicate via collaboration tools, so with this release adds Slack and WebEx to existing integrations like Microsoft Teams to accelerate IT team’s efficiency and productivity.

“Hollywood demonstrates ScienceLogic’s commitment to empowering the IT function and propelling enterprises forward through our SL1 platform. With this update, we’re enabling our customers to truly leverage intelligence to achieve unprecedented levels of efficiency and agility with their IT operations,” said Tina McNulty, ScienceLogic CMO. “It’s an exciting moment to be able to showcase ScienceLogic’s commitment to overcoming the increasing complexities of the IT landscape. As IT infrastructure continues to grow across cloud, hybrid, and edge environments, AIOps becomes mandatory. With Hollywood, SL1 has created an AIOps foundation for the future.”

Hollywood will be available to early access program customers with general availability of the release planned for early 2024.

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ScienceLogic Announces Hollywood Release of SL1 Platform

ScienceLogic introduced a combination of machine learning and automation capabilities with the release of Hollywood, a major update to its flagship SL1 platform.

With this release, ScienceLogic SL1 delivers a more intuitive approach for converting AI insights into automated action. AI/Machine Learning (ML) techniques are used to learn from customer IT environments and provide human-friendly insights for up to 10x faster issue resolution. Generative AI can review information collected from across hybrid cloud environments and create easy-to-understand analysis that all levels of IT can use to take action. AI also recommends automation workflows to run, or can be set to run them automatically, deflecting issues from human operators and allowing IT – and by extension – the business to run more efficiently.

AI and automation capabilities are built directly into an improved, more intuitive SL1 user interface, which displays IT operational information at the business service level for rapid understanding of business impact and improved Mean Time to Repair (MTTR). Combined with integrations to Slack, WebEx, and other collaboration systems, SL1 sets the bar for engaging and coordinating action across multiple teams, ensuring issues can be quickly resolved.

“With the launch of Hollywood, ScienceLogic customers will realize the first of many benefits of our 2022 acquisition of Zebrium. We have fully integrated its ML-driven root cause analysis capabilities into the SL1 platform and coupled with our automation capabilities to deliver support for truly self-healing services across the IT environment,” says Michael Nappi, CPO at ScienceLogic. “This is advanced AIOps, smarter, and easier - and it’s only the beginning. We’re excited about the potential for even more advanced analytical capabilities to fundamentally transform IT operations in the year ahead.”

The ScienceLogic Hollywood release includes:

- AI/ML- Driven Root Cause Analysis (RCA): AI provides rapid RCA in an intuitive natural language format to radically reduce time the time to isolate, identify and resolve service impacting issues. The ML model is easy to provision and train - and provides accurate and actionable insights without human supervision - so your IT team can focus on delivering new services to the business.

- Modern, Unified User Experience: a more modern and intuitive interface allows customers to rapidly understand the wealth of services delivered to the business and the relationship of infrastructure and application components to those services.

- SL1 Low / No Code Toolkit: A comprehensive SL1 toolkit enables DevOps teams to quickly build or customize PowerPacks - monitoring templates that connect unique devices/services/applications and describe how SL1 should monitor and visualize those components in the platform.

- New Workflow Integrations for Faster Issue Response: More than ever, IT teams communicate via collaboration tools, so with this release adds Slack and WebEx to existing integrations like Microsoft Teams to accelerate IT team’s efficiency and productivity.

“Hollywood demonstrates ScienceLogic’s commitment to empowering the IT function and propelling enterprises forward through our SL1 platform. With this update, we’re enabling our customers to truly leverage intelligence to achieve unprecedented levels of efficiency and agility with their IT operations,” said Tina McNulty, ScienceLogic CMO. “It’s an exciting moment to be able to showcase ScienceLogic’s commitment to overcoming the increasing complexities of the IT landscape. As IT infrastructure continues to grow across cloud, hybrid, and edge environments, AIOps becomes mandatory. With Hollywood, SL1 has created an AIOps foundation for the future.”

Hollywood will be available to early access program customers with general availability of the release planned for early 2024.

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AI is the catalyst for significant investment in data teams as enterprises require higher-quality data to power their AI applications, according to the State of Analytics Engineering Report from dbt Labs ...

Misaligned architecture can lead to business consequences, with 93% of respondents reporting negative outcomes such as service disruptions, high operational costs and security challenges ...

A Gartner analyst recently suggested that GenAI tools could create 25% time savings for network operational teams. Where might these time savings come from? How are GenAI tools helping NetOps teams today, and what other tasks might they take on in the future as models continue improving? In general, these savings come from automating or streamlining manual NetOps tasks ...

IT and line-of-business teams are increasingly aligned in their efforts to close the data gap and drive greater collaboration to alleviate IT bottlenecks and offload growing demands on IT teams, according to The 2025 Automation Benchmark Report: Insights from IT Leaders on Enterprise Automation & the Future of AI-Driven Businesses from Jitterbit ...

A large majority (86%) of data management and AI decision makers cite protecting data privacy as a top concern, with 76% of respondents citing ROI on data privacy and AI initiatives across their organization, according to a new Harris Poll from Collibra ...

According to Gartner, Inc. the following six trends will shape the future of cloud over the next four years, ultimately resulting in new ways of working that are digital in nature and transformative in impact ...

2020 was the equivalent of a wedding with a top-shelf open bar. As businesses scrambled to adjust to remote work, digital transformation accelerated at breakneck speed. New software categories emerged overnight. Tech stacks ballooned with all sorts of SaaS apps solving ALL the problems — often with little oversight or long-term integration planning, and yes frequently a lot of duplicated functionality ... But now the music's faded. The lights are on. Everyone from the CIO to the CFO is checking the bill. Welcome to the Great SaaS Hangover ...

Regardless of OpenShift being a scalable and flexible software, it can be a pain to monitor since complete visibility into the underlying operations is not guaranteed ... To effectively monitor an OpenShift environment, IT administrators should focus on these five key elements and their associated metrics ...

An overwhelming majority of IT leaders (95%) believe the upcoming wave of AI-powered digital transformation is set to be the most impactful and intensive seen thus far, according to The Science of Productivity: AI, Adoption, And Employee Experience, a new report from Nexthink ...

Overall outage frequency and the general level of reported severity continue to decline, according to the Outage Analysis 2025 from Uptime Institute. However, cyber security incidents are on the rise and often have severe, lasting impacts ...