Improving Performance with Observability Solutions

As your applications and IT environment grow more complex, observability solutions can help your IT teams to more effectively monitor and maintain system health. Observability platforms leverage artificial intelligence (AI) and machine learning (ML) to automate IT root cause analysis, sifting through massive amounts of log files and interpreting data with greater speed and accuracy than any human IT professional. With the ability to quickly and proactively remediate issues, observability solutions help to prevent disruption, ensure performance, and deliver the always-on, always-available experiences that your customers and users demand.

ScienceLogic Skylar Automated RCA AI Log Analysis fulfills the promise of observability solutions with a platform that does the heavy lifting for ITOps teams. After automatically ingesting millions or billions of messages from log files throughout your hybrid environment, Skylar Automated RCA performs ML-based analysis in real time to identify root cause and fix incidents more quickly.

What is observability?

Observability goes beyond traditional IT infrastructure monitoring to provide end-to-end visibility across your entire IT infrastructure. Over the last decade, observability solutions have emerged as a more effective way to monitor system health and performance as organizations have shifted from monolithic to distributed IT architectures.

Where traditional monitoring technology focuses on whether applications and infrastructure are working—and alerting ITOps when they are not—observability solutions are designed to offer a deeper understanding of system performance within the context of business services and the broader IT environment. If monitoring solutions are built to let you know when a system isn’t working, observability solutions are designed to help you investigate why.

With the rise of advanced technologies like microservices, containers, and hybrid cloud infrastructure, IT teams that rely on manual processes for root cause analysis can no longer keep up. There’s simply too much data and too much complexity to manage systems without the help of machines. Observability solutions leverage AI and ML to collect and analyze data with incredible speed. These solutions unify the data from metrics, logs, and traces and provide a single platform for infrastructure monitoring, application performance monitoring, and SaaS monitoring. By providing complete visibility and automated root cause analysis, observability solutions help improve the customer experience, enhance employee productivity, and optimize digital infrastructure.

ScienceLogic’s Skylar Automated RCA AI Log Analysis

Skylar Automated RCA drastically reduces the time it takes to identify, diagnose, and resolve issues that impact business services. When issues arise in a modern IT environment, Skylar Automated RCA applies powerful machine learning analytics and draws on both real-time and historical data to provide a contextual understanding of the root cause of the issue and the services it impacts. Skylar Automated RCA’s automated capabilities can remediate issues with minimal intervention from IT teams, helping to reduce fix time on the problems that typically take the longest amount of time to solve.

With Skylar Automated RCA, your ITOps teams can:

• Diagnose issues 10x faster through automated root cause analysis.
• Eliminate much of the manual work required to identify and fix issues.
• Drastically reduce the time it takes to understand what is broken.
• Focus on other priorities—Skylar Automated RCA’s unsupervised machine learning capabilities can produce results in less than 24 hours.
• Deploy quickly—there’s no manual training required.
• Identify unknown issues and root causes without manually building complex rules or poring over log data.
• Correlate unusual behavior with recent changes in performance metrics to understand the potential business impact of every issue.
• Get plain-language root cause summaries that distill billions of log lines down to a few salient data points and that describe the root cause visually.

Building toward fully automated workflows

In addition to Skylar Automated RCA, ScienceLogic offers solutions that enable organizations to move faster to support business goals despite increasing IT complexity. ScienceLogic SL1 is an infrastructure monitoring and AIOps platform that collects key operational telemetry from your systems, delivering visibility into every component that could impact essential services. With SL1, ITOps teams can:

• See everything. With the broadest set of data collection capabilities today—from cloud-native microservices to containers and VMs all the way to physical entities like network devices and laptops—ScienceLogic provides ITOps teams with a comprehensive view to help understand everything that’s happening in your environment.
• Contextualize data. SL1 helps you understand how the lowest level building blocks in your environment are contributing to high-level abstractions like business services. The platform automatically uncovers unusual events and spots correlations between them. Together, SL1 and Skylar Automated RCA automate root cause analysis to understand where the issues are and make recommendations.
• Automate action. ScienceLogic automates corrective actions in many cases, enabling your teams to use runbook automations or automated workflows to perform remediation actions. Offering rich automation capabilities, a library of existing automation best practices, a low-code/no-code workflow automation framework, ScienceLogic empowers staff members at every level to build automations for new problems.

Why choose ScienceLogic?

ScienceLogic is a leader in IT operations management, providing AIOps solutions, hybrid cloud observability, and software for network management and automation. By empowering intelligent, automated IT operations, ScienceLogic frees up time and resources and drives business outcomes with actionable insights.

Our patented discovery techniques find everything within an IT environment, delivering visibility across all technologies, vendors, data centers, and clouds. Relationship mapping contextualizes data, while integration and automation enables faster action to resolve issues and improve availability.

Trusted by thousands of organizations around the world, the ScienceLogic platform is designed for the rigorous security requirements of the United States Department of Defense, proven for scale by the world’s largest service providers, and optimized for the needs of leading enterprises.