Taming Operational Complexity with AI for IT Ops

From delivering exceptional customer experiences to taming complex IT infrastructure, the challenges facing IT organizations today have never been greater. As IT workloads traverse a complex array of interrelated components in a highly ephemeral environment, identifying and resolving issues in real time has become incredibly difficult. 

Artificial intelligence (AI) provides IT operations (IT Ops) teams with powerful solutions for solving these operational challenges. Combining big data with advanced analytics and machine learning, AI for IT Ops, or AIOps, moves at machine speed to accelerate automation, root-cause analysis (RCA), and mean time to repair (MTTR).  

For organizations considering AI for IT Ops solutions, ScienceLogic provides an all-in-one solution that unlocks the power of AIOps. ScienceLogic’s AI Platform consolidates tools for management, monitoring, and artificial intelligence observability on a single AIOps platform to accelerate digital transformation, boost IT productivity, and facilitate reliable digital experiences for customers and users. 

The need for AI for IT Ops 

IT infrastructure is becoming increasingly complex as organizations integrate cloud and mobile technologies with legacy systems. New technologies and developments like cloud-native, multi-cloud, containers, microservices, and highly distributed architectures have accelerated complexity – and render legacy management and monitoring tools obsolete.  

With ephemeral and dynamic environments comprised of many layers of technologies – and intricate dependencies between them – IT teams have little chance of quickly and accurately identifying the root cause and remediating issues when things go wrong.  

AI for IT Ops has emerged as an essential technology for meeting the challenges of maintaining uptime, boosting productivity, and ensuring operational efficiency. AIOps solutions enable IT Ops teams to extract value from the massive volume, variety, and velocity of data generated by their modern IT environments.  

AI for IT Ops collects data from the full application stack, storing it in a context-rich data lake. A superior AIOps platform combines tools for AI observability, monitoring, event correlation, historical analysis, and anomaly detection with the power to automate incident and change management tasks. This gives IT Ops, SRE, and DevOps teams the speed and agility they need to ensure uptime of critical services. With the right AIOps platform, teams can gain control and visibility of hybrid cloud environments while reducing noise in modern performance and fault management systems. The result is greater speed and accuracy when identifying and resolving service incidents. 

By managing and monitoring IT environments more accurately and efficiently, AI for IT Ops enables organizations to reallocate IT resources to focus on other strategic priorities that provide greater value to the organization. 

The ScienceLogic AI Platform  

The ScienceLogic AI Platform was the first to adopt AI for IT Ops and combine real-time discovery, a common data lake, real-time contextual mapping, and machine-speed analytics on a single platform. With ScienceLogic, IT teams get the detailed, contextual insights they need to see the state of IT operations without blind spots and to make better decisions. More importantly, they can automate routine decisions and IT tasks, helping to dramatically reduce mean time to repair (MTTR). 

With ScienceLogic’s AI for IT Ops solution, you will: 

• Gain end-to-end visibility of your entire IT estate to determine the health of mission-critical applications and services. 

• Take control of your hybrid cloud environments and obtain consumption of cloud resources. 

• Automate incident management and enable real-time updates of your configuration management database (CMDB). 

• Integrate disparate, third-party data sources in a context-rich data lake.

The benefits of ScienceLogic AI for IT Ops 

With ScienceLogic, your organization and IT teams can: 

• Enhance efficiency: Improve the efficiency of incident management by up to 50%, allowing IT teams to focus on innovation. 

• Increase reliability: Detect anomalies and potential issues earlier and faster, reducing incidents by up to 75%. 

• Slash MTTR: Get to the root of issues right away – the first time – to reduce troubleshooting time by up to 94%. 

• Achieve 100% visibility: See everything in your hybrid cloud environment to conquer complexity and deliver rock solid services. Close visibility gaps around custom devices and services with SL1 integrations and a low-code custom integration toolkit. 

• Prevent outages: Continuously analyze system behavior to uncover anomalies, understand their significance, and prioritize responses based on importance and available resources. 

• Gain insight: Convert difficult and time-consuming manual log analysis into easy-to-understand, operator-friendly insights. 
• Automate incident management: Resolve up to 50% of incidents without human intervention, getting services back online in seconds or minutes instead of hours or days. 

Why choose ScienceLogic?

ScienceLogic provides modern IT operations with actionable insights that lead to faster remediation and prevention of problems in a digital, ephemeral world. Trusted by thousands of organizations around the world, our technology has been tested by 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. 

 ScienceLogic also offers solutions for network automation and automated root cause analysis.  

• ScienceLogic’s Restorepoint delivers tools for compliance-focused network automation and configuration management. With Restorepoint, administrators benefit from centralized and secure backup and recovery of network and security devices, including always-on auditing and one-quick recovery.