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ScienceLogic Introduces Autonomic IT

ScienceLogic unveiled “Autonomic IT” — business-accelerating capabilities that combine data, artificial intelligence (AI) and automation.

Autonomic IT enables enterprises to focus on innovation, ensuring superior customer experiences and driving revenue growth by creating a cost-optimized, efficient, and scalable autonomous business.

With support from the ScienceLogic SL1 platform, enterprises can achieve improved, global hybrid cloud visibility, significantly reduce IT complexity and costs, diagnose root cause faster and leverage automation to slash manual effort as they progress towards the full realization of Autonomic IT. Powered by ScienceLogic’s SL1, customers can leverage the platform’s global visibility, advanced AI insights, and automation to deliver a state of autonomous business. With Autonomic IT, organizations can rely on a self-managing IT environment that proactively monitors for and resolves issues as they appear, optimizing technology investments while running, and guiding IT teams with large language models to deliver an elevated, intelligent ecosystem.

“Achieving a fully autonomous, self-optimizing IT estate with Autonomic IT will open a lot of doors for enterprises by delivering cost savings, enabling automation, and ensuring the business is running as efficiently as possible while IT teams turn their full focus to innovation and delivering positive outcomes for customers,” said Dave Link, CEO and co-founder at ScienceLogic. “With many enterprises just getting started on their journey to Autonomic IT, we’re looking forward to guiding their path to self-aware, self-healing, and self-optimizing technology for unmatched customer experiences and profitability.”

As enterprises modernize, their IT environments will naturally progress towards the autonomous business model in line with the Autonomic IT journey, a five-phase approach rather than single transition to lay the groundwork smoothly and effectively for automation. These five phases include:

Phase 1: Siloed IT Monitoring – Building Capability

Phase 2: Coordinated IT – Consolidated Tools, Reduced Costs, Better Insights

Phase 3: Machine Assisted IT – Warming Up to Automation

Phase 4: AI-Advised IT – Using Generative AI to Guide and Automate Action for Faster Resolution

Phase 5: Autonomic IT – Fully Autonomous, Self-Optimizing State

“As our customers and industry partners begin to adopt these new technologies, ScienceLogic will serve as a strategic partner to help them navigate the Autonomic IT journey,” said Michael Nappi, chief product officer at ScienceLogic. “With most of our enterprise customers operating today in phase two, we’re committed to guiding them through the deployment of machine-assisted IT technologies and supporting their progression to the highly automated state represented by Autonomic IT.”

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ScienceLogic Introduces Autonomic IT

ScienceLogic unveiled “Autonomic IT” — business-accelerating capabilities that combine data, artificial intelligence (AI) and automation.

Autonomic IT enables enterprises to focus on innovation, ensuring superior customer experiences and driving revenue growth by creating a cost-optimized, efficient, and scalable autonomous business.

With support from the ScienceLogic SL1 platform, enterprises can achieve improved, global hybrid cloud visibility, significantly reduce IT complexity and costs, diagnose root cause faster and leverage automation to slash manual effort as they progress towards the full realization of Autonomic IT. Powered by ScienceLogic’s SL1, customers can leverage the platform’s global visibility, advanced AI insights, and automation to deliver a state of autonomous business. With Autonomic IT, organizations can rely on a self-managing IT environment that proactively monitors for and resolves issues as they appear, optimizing technology investments while running, and guiding IT teams with large language models to deliver an elevated, intelligent ecosystem.

“Achieving a fully autonomous, self-optimizing IT estate with Autonomic IT will open a lot of doors for enterprises by delivering cost savings, enabling automation, and ensuring the business is running as efficiently as possible while IT teams turn their full focus to innovation and delivering positive outcomes for customers,” said Dave Link, CEO and co-founder at ScienceLogic. “With many enterprises just getting started on their journey to Autonomic IT, we’re looking forward to guiding their path to self-aware, self-healing, and self-optimizing technology for unmatched customer experiences and profitability.”

As enterprises modernize, their IT environments will naturally progress towards the autonomous business model in line with the Autonomic IT journey, a five-phase approach rather than single transition to lay the groundwork smoothly and effectively for automation. These five phases include:

Phase 1: Siloed IT Monitoring – Building Capability

Phase 2: Coordinated IT – Consolidated Tools, Reduced Costs, Better Insights

Phase 3: Machine Assisted IT – Warming Up to Automation

Phase 4: AI-Advised IT – Using Generative AI to Guide and Automate Action for Faster Resolution

Phase 5: Autonomic IT – Fully Autonomous, Self-Optimizing State

“As our customers and industry partners begin to adopt these new technologies, ScienceLogic will serve as a strategic partner to help them navigate the Autonomic IT journey,” said Michael Nappi, chief product officer at ScienceLogic. “With most of our enterprise customers operating today in phase two, we’re committed to guiding them through the deployment of machine-assisted IT technologies and supporting their progression to the highly automated state represented by Autonomic IT.”

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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 ...