ScienceLogic

Reston, VA, USA
2003
  |  By Vice President of Advisory Services
Imagine a world where IT runs itself, monitoring and optimizing technology investments as it runs. Where IT operations are continuous: always available, always responsive, always seamless, always delivering what your organization – and your customers – need. This is Autonomic IT. However, implementing Autonomic IT is not as simple as adding technology and flipping a switch.
  |  By ScienceLogic
The telecommunications industry is no stranger to rapid technological advancements, but the integration of machine learning (ML) and generative AI is taking it to new heights. AI and ML are not just about technological transformation; they’re also revolutionizing people, processes, and the entire telco landscape. For tech enthusiasts and business leaders, understanding how these AI-driven innovations are shaping the future is crucial.
  |  By ScienceLogic
Whether an enterprise operates in technology, healthcare, financial services, or another business vertical, cybersecurity must remain top of mind. In addition to the numerous international cybersecurity regulations, like the NIST Cybersecurity Framework, GDPR, and other mandates, enterprises must also prioritize cybersecurity to mitigate downtime, protect sensitive data, and uphold customer trust and brand reputation.
  |  By Bill Rachilla
The generative AI market is poised to explode. From AI-based co-pilots and assistants to new use cases across healthcare, marketing, sales, software development, and more, generative AI is unleashing a new wave of productivity, efficiency, and transformative employee and customer experiences.
  |  By ScienceLogic
There is immense pressure on IT. Now more than ever, IT teams bear the brunt of the seismic shift in how people live and work. Delivering service quality while driving innovation is imperative. Yet, IT teams are continually fighting outage fires, managing day-to-day events, updating legacy systems, and navigating IT complexity – while trying to innovate. AIOps and cloud computing sought to address these challenges.
  |  By ScienceLogic
When service outages happen, the clock starts ticking, not only to restore that service, but also to identify and fix the root cause so the problem doesn’t recur again and again. However, root cause analysis (RCA) can be exceptionally time-consuming for IT teams tasked with combing through massive log files for clues about the underlying problem.
  |  By ScienceLogic
Global organizations are having increasingly critical discussions around the importance of cyber resiliency, an organization’s ability to withstand, respond to, and recover from cyber incidents. With the frequency of cyberattacks growing 30% since last year and the total estimated fallout of cyber 2024 cyberattacks charted to surpass $9.5 trillion, ensuring effective cyber hygiene and resiliency strategies is more important than ever.
  |  By Sr. Director
From the NIST Cybersecurity Framework to GDPR and more, public sector agencies must comply with a myriad of IT regulatory requirements. These regulations ensure proper financial management and stewardship, security, governance, operational efficiency and effectiveness, incident management – and ultimately, assure public trust and accountability.
  |  By ScienceLogic
The past few years have been dominated by digital transformation characterized by a move away from legacy on-premises systems to the cloud. However, there are also instances when bringing certain assets back from the cloud – a process known as “cloud repatriation” – can be a strategic and cost-effective move. Questions persist about when cloud repatriation makes sense and how organizations should craft their strategy.
  |  By ScienceLogic
In today’s fast-paced digital business landscape, IT service management teams face immense pressure to swiftly adapt to new technologies and meet stringent SLAs. To ensure optimal customer experiences and drive business growth, organizations need an approach that goes beyond current AIOps and semi-autonomous market offerings – they need Autonomic IT. Imagine a self-managing IT environment that monitors and optimizes technology investments as it runs.
  |  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.
  |  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.
  |  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.
  |  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.
  |  By ScienceLogic
ScienceLogic Support.
  |  By ScienceLogic
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  |  By ScienceLogic
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  |  By ScienceLogic
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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.
  |  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.
  |  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.
  |  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.
  |  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.
  |  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.
  |  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.
  |  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.
  |  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.
  |  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.

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.