ScienceLogic Introduces Autonomic IT
May 14, 2024
Share this

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.”

Share this

The Latest

May 23, 2024

Hybrid cloud architecture is breaking the backs of network engineering and operations teams. These teams are more successful when their companies go all-in with the cloud or stay out of it entirely. When companies maintain hybrid infrastructure, with applications and data residing across data centers and public cloud services, the network team struggles. This insight emerged in the newly published 2024 edition of Enterprise Management Associates' (EMA) Network Management Megatrends research ...

May 22, 2024

As IT practitioners, we often find ourselves fighting fires rather than proactively getting ahead ... Many spend countless hours managing several tools that give them different, fractured views of their own work — which isn't an effective use of time. Balancing daily technical tasks with long-term company goals requires a three-step approach. I'll share these steps and tips for others to do the same ...

May 21, 2024

IT service outages are more than a minor inconvenience. They can cost businesses millions while simultaneously leading to customer dissatisfaction and reputational damage. Moreover, the constant pressure of dealing with fire drills and escalations day and night can take a heavy toll on ITOps teams, leading to increased stress, human error, and burnout ...

May 20, 2024

Amid economic disruption, fintech competition, and other headwinds in recent years, banks have had to quickly adjust to the demands of the market. This adaptation is often reliant on having the right technology infrastructure in place ...

May 17, 2024

In MEAN TIME TO INSIGHT Episode 6, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network automation ...

May 16, 2024

In the ever-evolving landscape of software development and infrastructure management, observability stands as a crucial pillar. Among its fundamental components lies log collection ... However, traditional methods of log collection have faced challenges, especially in high-volume and dynamic environments. Enter eBPF, a groundbreaking technology ...

May 15, 2024

Businesses are dazzled by the promise of generative AI, as it touts the capability to increase productivity and efficiency, cut costs, and provide competitive advantages. With more and more generative AI options available today, businesses are now investigating how to convert the AI promise into profit. One way businesses are looking to do this is by using AI to improve personalized customer engagement ...

May 14, 2024

In the fast-evolving realm of cloud computing, where innovation collides with fiscal responsibility, the Flexera 2024 State of the Cloud Report illuminates the challenges and triumphs shaping the digital landscape ... At the forefront of this year's findings is the resounding chorus of organizations grappling with cloud costs ...

May 13, 2024

Government agencies are transforming to improve the digital experience for employees and citizens, allowing them to achieve key goals, including unleashing staff productivity, recruiting and retaining talent in the public sector, and delivering on the mission, according to the Global Digital Employee Experience (DEX) Survey from Riverbed ...

May 09, 2024

App sprawl has been a concern for technologists for some time, but it has never presented such a challenge as now. As organizations move to implement generative AI into their applications, it's only going to become more complex ... Observability is a necessary component for understanding the vast amounts of complex data within AI-infused applications, and it must be the centerpiece of an app- and data-centric strategy to truly manage app sprawl ...