The Challenge of Managing ITOps with Legacy Tools

While IT infrastructure continues to evolve at a blistering pace, most ITOps teams still manage these hybrid environments using inadequate tools. In fact, a recent Forrester survey found that 86% of companies are using incomplete, legacy tools for infrastructure and application monitoring. Because they don’t provide complete, end-to-end visibility into the digital services that enterprises provide for their customers, these legacy tools inevitably stifle business growth and hinder digital transformation. 

ScienceLogic offers a way to easily modernize tools for your ITOps teams. SL1, part of the ScienceLogic AI Platform, unifies hybrid cloud monitoring tools and other solutions on a single platform, providing a secure foundation for intelligent, automated IT Ops management. Designed from the ground up for AI-driven operations, SL1 delivers unique capabilities to prevent issues, assure business services, and keep costs under control. 

Five reasons to modernize legacy ITOps tools

Today’s enterprise IT ecosystems comprise everything from on-premises infrastructure to multi-cloud environments and containerized microservice application architectures. To effectively monitor and manage this hybrid mix, your ITOps teams must modernize legacy tools to achieve five key objectives. 

• Eliminate visibility gaps. Legacy tools create silos of insights and visibility, making it difficult to find and fix problems efficiently. These tools were not designed to provide complete end-to-end visibility of clouds and containers, resulting in gaps and redundancies when data originates from multiple sources. By replacing disparate toolsets with a single, modern platform, your ITOps teams can comprehensively and holistically access every part of your IT ecosystem.  

• Avoid impact on business services. Legacy tools aren’t built to illuminate the ever-evolving interdependencies between applications and infrastructure in a highly dynamic IT environment. This leaves your organization vulnerable to business service impacts that can result in poor customer experiences, incomplete transactions, customer churn, and a loss of revenue. Modern tools can deliver a clearer picture of the impact of change on business services. As a result, you can confidently adopt new technologies and accelerate service deliveries to ensure the business services and experiences your customers demand. 

• Reduce noise to lower MTTR. When your ITOps teams are overwhelmed by too much data and incident noise, it’s hard to quickly find the critical information needed to identify performance issues, avoid disruptions, and ensure operational stability. With multiple alerts from disjointed legacy tools, your ITOps teams are prevented from quickly determining root cause. In contrast, your teams can pinpoint root cause faster and accelerate mean time to repair (MTTR) by modernizing your toolset. 

• Minimize cloud complexity and spend. For most organizations, the move to the cloud has resulted in relationships with multiple public cloud providers, unsanctioned and ungoverned Kubernetes environments, and significant over-provisioning of services. Without the right tools, your ITOps teams can’t identify resources that are underutilized, unused, or unnecessary. Modernizing these solutions helps teams anticipate capacity, reduce cloud spend, and optimize resources more effectively. 

• Onboard new technology. While new technologies promote greater agility and competitiveness, they also introduce more complexity and unforeseen complications that can impact business services. Many ITOps teams are using 10 or more infrastructure and application monitoring tools, making it difficult to accurately monitor new technologies and remediate new issues. Upgrading to a modern toolset enables your organization to take full advantage of emerging technologies while ensuring exceptional experiences for users and employees. 

ScienceLogic: An AIOps solution for ITOps

As a leader in IT operations management, ScienceLogic delivers solutions for ITOps that are powered by artificial intelligence (AI). The SL1 part of the ScienceLogic Platform, provides AI for IT Ops (AIOps) to automatically predict operational disturbances, assess root cause, and remediate issues swiftly. 

With ScienceLogic’s AIOps solution, you can: 

• Gain visibility into your entire IT environment in real time. SL1 provides a unified monitoring platform that combines multi-cloud monitoring solutions with tools for monitoring servers, networks, storage, applications, and services. 

• Add context and meaning to your monitoring data. SL1 collects and stores data from all your legacy and modern tools in a clean and normalized data lake. By mapping relationships and interdependencies between various applications and infrastructure components, SL1 helps you see how each component works together to support your business services. 

• Integrate data and automate IT workflows. SL1 lets you integrate and share data across your entire ecosystem in real time, applying bi-directional integrations to automate manual data and process workflows. 

The benefits for ITOps teams

SL1 provides ITOps teams with significant advantages over legacy monitoring tools. 

• Real-world solutions. SL1 was designed by IT veterans to support real-world operational requirements. Tools on the ScienceLogic AI Platform cover everything from apps and networks to clouds, servers, and storage—and everything in between. 

• Comprehensive platform. From a single interface, SL1 enables ITOps to monitor the entire ecosystem, analyze issues with AI/ML-driven insights, and automate a broad range of break/fix, DevOps, ITSM, and security actions. 

• Autonomic IT. ITOps teams can decide which operations are fully autonomous and which are human-assisted. When fully automated, SL1 frees ITOps staff from more than 50% of routine IT tasks. 

• Accurate root cause diagnoses. With ML-driven root cause analysis and event correlation, SL1 extracts root cause with greater than 95% accuracy, resulting in 60% faster repair times. 

• Self-tuning capabilities. SL1 employs unsupervised ML to continually adapt and improve analysis of issues, learning from data gathered across your IT estate. As more patterns are learned, scored, and approved, SL1’s root cause accuracy is tuned to your unique IT stack. 

• Unknown issue detection. Along with the ability to analyze issues from IT services, SL1 monitors and scores the significance of anomalous behavior to address problems before they become outages. 

• Digestible insights. By leveraging generative AI, SL1 converts complicated log details into easy-to-understand insights that allow staff to act quickly. 

• Superior visibility. SL1 provides monitoring support for hundreds of IT devices, apps, and services. Advanced discovery and low-code custom resource monitoring tools further allow SL1 to capture data from your entire IT estate.

Why ScienceLogic?

ScienceLogic provides modern IT operations with actionable insights that help to predict and resolve problems faster in a digital, ephemeral world. With solutions that enable intelligent, automated IT operations, ScienceLogic frees up time and resources for ITOps teams and drives better outcomes for businesses. 

With ScienceLogic, customers get: 

• Proven solutions: The ScienceLogic AI Platform meets the exacting security requirements of the United States Department of Defense. It has been proven for scale by the world’s largest service providers, and it is optimized to meet the needs of large enterprises and government agencies. 

• Flexible usage: Offering accurate, trusted, cost-effective, analytics-driven automation, ScienceLogic supports a variety of use cases. 

• Trusted partners: ScienceLogic strategically collaborates with global system integrators, federal system integrators, MSPs, and channel partners to streamline hybrid cloud complexity and digital transformation.