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By ScienceLogic
Autonomic IT is the pinnacle of IT evolution. Inspired by the human autonomic nervous system, it refers to self-managing IT systems that autonomously monitor, optimize, and resolve issues. By integrating data, advanced AI and machine learning (ML), and automation, Autonomic IT enterprises can predict, prevent, and resolve IT issues more proactively, enhancing efficiency and reliability. However, Autonomic IT is more than just a framework for machines to fix themselves.
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By ScienceLogic
The Managed Service Provider (MSP) industry is highly competitive. The growing demand for IT management and support has led to a proliferation of MSPs, ranging from small to established providers. This saturation intensifies pressure on profit margins and heightens expectations for delivering faster, more efficient services. With many MSPs competing for business, companies must find ways to differentiate themselves to attract and retain clients. At ScienceLogic, we know that AI holds the key to success.
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By ScienceLogic
Today’s IT teams face unprecedented challenges as they manage increasingly complex hybrid and multi-cloud environments and vast amounts of data. The pressure to maintain uptime, optimize performance, and ensure security – all while balancing limited resources – has become a daunting task for even the most seasoned professionals. So how can these organizations stay ahead of the curve?
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By ScienceLogic
As organizations transform and modernize their digital operations, the choice of infrastructure isn’t always clean cut. Hybrid cloud architecture is an increasingly popular approach to IT infrastructure, allowing organizations to take advantage of the best features of cloud and on-premises solutions. This approach enables enterprises to optimize workload placement for performance and cost, match applications to ideal environments, and strategically distribute critical assets.
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By ScienceLogic
In many ways, the upcoming year is shaping up to be one of opportunity and innovation as IT leaders see more benefits and options around AI than ever before in running the enterprise. By the same token, this progress is creating new complexities and choices for organizations to navigate. Through conversations with ScienceLogic customers, leading industry analysts, partner companies and key executives, several AI-related themes have emerged moving into 2025.
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By ScienceLogic
Several of our recent blog posts have introduced the characteristics of each phase of the Autonomic IT maturity model, from Siloed IT to Coordinated IT (an essential foundation for Autonomic IT) and the transition to Machine-Assisted IT and AI-Advised IT. We explored how you can identify where your organization stands on this transformative journey, why you might not be as far along as you believe, and what is needed to advance your journey. Now we arrive at IT nirvana: Phase 5, Autonomic IT.
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By ScienceLogic
2024 has been a momentous year for ScienceLogic. In May, we launched our vision of Autonomic IT, which combines data, AI, and automation to create a fully autonomous state of IT operations. We followed that up in July with the introduction of Skylar AI, a suite of services that empower organizations to automate ITOps processes, reach AIOps maturity, and make more accurate and data-driven decisions. A lot of hard work went into the creation of these solutions.
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By ScienceLogic
What are the biggest challenges facing MSPs this year? CRN recently asked top MSP executives what keeps them awake at night. The findings should come as no surprise. Compliance and cybersecurity remain perpetual challenges. Compounded by talent gaps, a constantly evolving regulatory environment, and new threat vectors, MSPs are working overtime to stay ahead of changes.
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By ScienceLogic
ScienceLogic is proud of our global footprint. From “Down Under” in Australia and New Zealand to the northern climes of Scandinavia, over 500 customers serving 100,000 organizations use ScienceLogic to modernize and optimize their IT operations. One such customer is TDC Erhverv, a leading Denmark-based MSP specializing in telecommunications, internet, security, and collaboration solutions and supporting over 50,000 companies.
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By ScienceLogic
As IT infrastructure continues to grow in complexity, companies face a distinct challenge: they must be able to effectively and efficiently manage their infrastructure today, while also preparing it for tomorrow. Having infrastructure that is responsive and adaptable both short-term and long-term is indispensable to keeping users satisfied and maintaining a competitive advantage.
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By ScienceLogic
Hear about our game-changing AI innovations! Join our exclusive keynote with our CEO, Dave Link and our Chief Product Officer, Mike Nappi, to: Explore our cutting-edge AI platform developments Discover how our breakthroughs outpace industry standards Learn how these AI advancements will transform your business Get a sneak peek into the AI technologies that will redefine productivity, creativity, and decision-making across industries.
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By ScienceLogic
This video provides an overview of Event Management in SL1. It goes over specific features such as viewing events, acknowledging and clearing events, understanding the way events are ranked on the event console, finding out more information about each event, and how we can automate actions to address particular events.
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By ScienceLogic
This video covers the process to convert an SL1 database from OL7 to OL8 and covers each aspect from requirements to a step-by-step demonstration of the process.
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By ScienceLogic
ScienceLogic CEO and Co-founder, Dave Link, jumps on the IT in Motion podcast for a special episode revealing our NEW book, Innovation: Journey and Outcomes for the AIOps Revolution. In this episode, Dave discusses the inspiration for writing the book as well as some of his favorite chapters in the story.
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By ScienceLogic
IT operations can become chaotic as businesses become increasingly digital and infrastructure sprawls. And chaos means cost when manageability and observability headaches develop. Multi-cloud management, incident response, technology debt, and IT workloads are challenges across all industries and often hold organizations back from achieving their core business objectives.
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By ScienceLogic
From complex IT infrastructures with enormous numbers of devices, applications, services, and tools to trying to make sense out of massive amounts of disparate data - government agencies face unique challenges in moving forward with digital transformation. To become truly agile in the increasingly complex hybrid IT environment, forward-thinking agencies are evaluating the potential of AIOps.
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By ScienceLogic
Government agencies want to modernize their ITOps, but technology and operations issues such as limited technology budgets and complicated government procurement processes are impacting their ability to transform. Read this eBook to understand: Download this eBook today with our compliments to get a detailed analysis of how AIOps can help government agencies modernize their IT.
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By ScienceLogic
With organizations requiring more technology to support the shift to a hybrid workforce, IT is overtaxed. And digital transformation requires a skilled staff, but most organizations are struggling to find IT employees with the right skill set-halting digital transformation initiatives. Thankfully, there's a solution: AIOps. In "AIOps means business: IT innovation for business advantage," EMA digs deep into the meaning of AIOps and how it has evolved to mean AI + automation.
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By ScienceLogic
The transition to the cloud continues unabated, along with the dramatic increase in operational complexity. Unfortunately, legacy monitoring tools only compound this complexity. This white paper examines how today's hybrid cloud infrastructures pose unprecedented challenges and require modern management approaches.
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By ScienceLogic
To deliver information, transactions, and interactions quickly and efficiently to your customers, you need to rely on a vast collection of interconnected technologies that work seamlessly together. But as transactions grow in complexity, so does your IT infrastructure. This eBook examines how today's hybrid cloud infrastructures pose unprecedented challenges in complexity and what you can do to meet these challenges with a modern approach to monitoring.
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By ScienceLogic
In recent months, a lot has changed in network operations (NetOps). Networks, architectures, and entire operational models have shifted dramatically-disrupting and destabilizing digital business services. Unfortunately, most NetOps teams are still relying on legacy tools and approaches. This white paper offers a look at how the world has changed - and the new capabilities your team needs to succeed.
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By ScienceLogic
If you can't trust your data, you can't use it to automate IT operations. And if you can't automate IT operations, you're less likely to be able to accelerate mean time to repair, all the while providing a five-star experience to your customers and employees.
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By ScienceLogic
Your configuration management database (CMDB) can be a goldmine of information - but only if it contains the right data. With today's huge volumes of frequently-changing data, discovery and monitoring have become increasingly challenging. Auto-populate and maintain your CMDB with the real-time, contextualized data ScienceLogic captures from your monitored environment. Use the derived insights to drive automation.
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By ScienceLogic
The odds are, if you work in enterprise IT, you're using legacy infrastructure and application monitoring tools from major ITOM vendors. And you're not alone. A recently conducted Forrester survey, "The State of IT Operations Management," reveals that 86% of companies are using incomplete, legacy tools for infrastructure and application monitoring.
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ScienceLogic is a leader in IT Operations Management, providing modern IT operations with actionable insights to predict and resolve problems faster in a digital, ephemeral world. Its IT infrastructure monitoring and AIOps solution sees everything across cloud and distributed architectures, contextualizes data through relationship mapping, and acts on this insight through integration and automation.
Trusted by thousands of organizations, ScienceLogic’s technology was designed for the rigorous security requirements of United States Department of Defense, proven for scale by the world’s largest service providers, and optimized for the needs of large enterprises.
What Makes ScienceLogic SL1 Platform Unique:
- Unified Operations Data Lake: Eliminate the human factor involved in merging, cleaning, normalizing, & maintaining data collected across multiple data sources.
- Multi-Tiered Business Services: Avoid service outages with real-time visibility into how your infrastructure impacts different levels of your digital apps & services.
- ML-Driven Behavioral Correlation: Accelerate root-cause analysis by correlating events and anomalies within a business service context.
- Accurate CMDB: Automatically keep your CMDB up to date so you can resolve incidents faster and automate additional ITSM workflows.
- Built-In Automation & Workflows: Get started with IT workflow automation fast. Leverage our extensive, best practice triage/remediation automations.
With ScienceLogic and AIOps, customers manage IT environments—at speed, at scale, in real-time.