For IT operations management teams, AIOps solutions can help manage the increasing complexity of IT environments. Modern IT infrastructures—built on distributed architectures, multiple clouds, containers, microservices, and other advanced technologies—have created multi-dimensional data flows with excessive noise that hinder IT’s ability to identify and resolve service incidents. Because modern environments are so dynamic and ephemeral, changes to services, applications, or underlying infrastructure happen so quickly and frequently that IT teams can no longer understand the complex dependencies between technologies, let alone troubleshoot issues when things go wrong.

AI for IT Ops solutions meet this challenge by employing big data, advanced analytics, AI, and machine learning (ML) to deliver intelligent, actionable insights that automate operations, create predictive outcomes, drive faster root-cause analysis (RCA), and accelerate mean time to repair (MTTR).

The ScienceLogic AI Platform is an all-in-one AIOps solution that delivers flexible AI observability and monitoring technologies to accelerate digital business with end-to-end service visibility across on-premises and cloud environments. With SL1, part of ScienceLogic’s AIOps platform, your IT teams can architect, implement, and manage new technologies that enable always-on, scalable experiences to improve the customer experience.

AIOps solutions: two approaches

AIOps solutions today offer two different approaches to managing data.

  • Data agnostic: With a data-agnostic approach, AIOps solutions apply analytics to a broad range of diverse data that may be incomplete, disjointed, and not grouped or structured in any clear way. These solutions require a team of data scientists to help collect, clean, organize, and interpret the data.
  • Data aware: This approach eliminates the need for a team of data scientists to clean and structure data before analytics are applied. With a data-aware approach, organizations can build a common data model that’s enriched with context to solve a broad set of business challenges.

Since most enterprises lack dedicated teams of data scientists to work with their AIOps solution, a data-aware approach offers greater benefits. With this model, your teams can build automated workflows and analyses in areas such as change management, configuration management, incident management, and self-healing, along with workflows for intelligent RCA and reducing MTTR.

The ScienceLogic AIOps solution

ScienceLogic provides your IT team with a flexible, scalable, and secure AIOps platform that’s designed from the ground up to monitor today’s modern IT environments. SL1 consolidates existing IT management tools for hybrid cloud monitoring and workflow automation to boost IT productivity while enabling resilient digital experiences for customers and users.

With ScienceLogic, you can:

  • See everything: ScienceLogic’s SL1 helps you discover and monitor resources across multi-cloud and distributed architectures. This AIOps platform also lets you contextualize data through relationship mapping and act on insight through automation and integration.
  • Simplify AIOps: Reduce your tool footprint by up to 98% by eliminating the need to purchase and integrate additional frameworks for analytics, automation, and artificial intelligence observability
  • Gain insight: SL1 provides rapid, accurate recommendations without flooding your teams with excessive noise and alerts. Generative AI and data contextualization help get to the heart of complex issues quickly.
  • Integrate technologies: ScienceLogic’s operator-friendly platform integrates easily with existing solutions in your operations environment to enhance the effectiveness, efficiency, and morale of your IT teams.

Differentiators for ScienceLogic SL1

When comparing ScienceLogic’s AIOps solution to the alternatives, enterprises and their IT teams are most impressed with several key features and benefits.

  • AIOps forged by real-life IT: This AIOps solution is designed by IT veterans to support the requirements of real-world IT operations. SL1 covers everything—cloud, networks, apps, servers, storage, and everything in between.
  • Autonomic IT operations: SL1 represents the next phase of IT operations management, giving your teams the power to use the platform in human-assisted or fully autonomous modes. When fully automated, SL1 can free your staff from more than 50% of common IT tasks.
  • Unknown issue detection: While SL1 excels at analyzing issues from IT services, its ML capabilities also monitor and score the significance of anomalous behavior to address potential issues before they become service outages.
  • Superior visibility: The SL1 AIOps solution increases accuracy and effectiveness by capturing data from hundreds of IT devices, apps, and services out-of-the-box. SL1 also offers advanced discovery and a low-code custom resource monitoring feature to detect a broader range of issues with higher accuracy.
  • A unified platform: Teams can monitor, analyze, and automate complex environments from a single platform. SL1 provides AI/ML-driven insights and automates a wide variety of ITSM, DevOps, break/fix, and security actions.
  • Accurate root cause identification: ML-driven root-cause analysis and automatic event correlation features create fingerprints and compare them with learned patterns to extract root cause with more than 95% accuracy, leading to repair times that are up to 60% faster.
  • Self-tuning: With unsupervised ML, SL1 continually learns from data gathered wherever it is found across your IT estate, to adapt and improve analysis of issues. As it learns, scores, and approves more patterns, SL1 ensures that root cause accuracy is tuned to your unique IT stack.
  • Accessible insights: Using generative AI, ScienceLogic’s AIOps solution transforms complicated log details into easy-to-grasp insights that empower IT teams to act quickly.

Why ScienceLogic?

ScienceLogic is trusted by thousands of organizations around the world to empower their automated IT operations, accelerate innovation, and enable better business outcomes. Our platform monitors an organization’s digital footprint wherever it resides to deliver deeper visibility and improve the availability of business services.

With ScienceLogic, you can:

  • Visualize everything: ScienceLogic lets IT teams see everything from one place, bringing data together from throughout the organization with in-depth operational support for traditional data centers, hyperscalers, and cloud-native services.
  • Avoid outages: IT teams gain real-time visibility into the impact of IT infrastructure on different services, helping to speed diagnosis and remediation of issues.
  • Prioritize work: By correlating events and anomalies within a business service context, ScienceLogic helps teams accelerate analysis of service impact and root cause.
  • Automate workflows: A library of best practice triage and remediation steps allows IT teams to automate routine processes and workflows.
  • Scale quickly: ScienceLogic’s platform grows with the business to support IT needs today and tomorrow.
  • Integrate solutions: Onboard technologies faster with out-of-the-box integrations.

AIOps Solution FAQs

What is AIOps?

Artificial intelligence for IT Operations (AIOps) combines big data, artificial intelligence (AI), and machine learning (ML) to enhance and automate IT operations. AIOps collects data, logs, metrics, and events from a wide variety of sources and analyzes them to extract insights, discover anomalies, and resolve IT incidents faster and more efficiently.

What are the benefits of AIOps solutions?

AIOps solutions enable IT operations to automate routine tasks, identify and resolve issues more quickly and accurately, predict potential issues before they impact users, and enable better decision-making around IT operations and resource management.