Go Beyond AIOps with Self-Driving IT

Go Beyond AIOps with Self-Driving IT 

ScienceLogic’s SL1 platform goes beyond traditional IT infrastructure monitoring to unlock the full power of AIOps– taming hybrid cloud complexity and achieving better business outcomes. IT practitioners leveraging the SL1 platform gain the ability to: 

• See all their data in one place. Discover all the components within an enterprise – physical, virtual, and cloud – and collect and store performance data in a normalized data lake. 
• Apply AI and ML to contextualize that data for actionable insights, such as the relationships between infrastructure, applications, and business services.   

Next generation AIOps powered by the SL1 platform brings much-needed visibility into hybrid IT estates so IT operations (ITOps) teams can easily discover every device and dependency across their tech stack, feed that information into a data lake in real-time, and gain a holistic view of system health. The platform simultaneously leverages AI/ML capabilities to automatically correlate and analyze telemetry and contextual information, gaining actionable insights into system health. 

However, SL1 also empowers IT operations teams to go beyond obtaining full stack observability and streamlining workflows. Once businesses have eyes on their data across hybrid environments and can derive actionable insights from that information, the next logical step is to act, and eventually automate. The true key to taming hybrid cloud complexity is enabling organizations to reach a new state of business tech capability with Autonomic IT.  

Enable faster action and knowledge with automation 

Business transformation promises increased productivity, responsiveness, and profitability, but with the pace of business and the complexity and scale of modern IT estates, manual processes and workflows no longer cut it, and business performance and customer experience can be impacted. 

IT operations have and always will require human oversight, but manually filling and organizing a configuration management database (CMDB), handling incidents, or solving problems using sprawled tools and siloed data takes up a lot of time. IT operations management (ITOM) teams barely have bandwidth to fix issues, let alone come up with innovative ideas to prevent problems and add value to business operations – we’ve reached a point where humans alone can’t keep up. 

Now these teams must go beyond seeing, to understand any IT asset. To move past isolated manual analysis to fully automated, business insights and recommendations. And to transition from human-driven actions to AI-assisted ops support. 

ScienceLogic is here to help. With SL1, acting on rich contextualized intelligence becomes much easier thanks to workflow automations that enable knowledge sharing for more coordinated response efforts and less complexity.    

IT service management (ITSM) automations allow IT teams to say goodbye to the risk of task errors, freed from event and anomaly storms, and embrace intelligent automated workflows that can help solve and ease daily operational challenges such as accelerating service request management, automating troubleshooting, resolving incidents and cases faster, and more. But ScienceLogic’s SL1 platform goes one step further – empowering businesses to reach the next level of their potential and go beyond with Autonomic IT. 

What is autonomic IT? 

Autonomic IT is a system that autonomously maintains itself by using adaptive data acquisition, machine-driven insights, and automated actions. An Autonomic IT platform combines AIOps, AI, ML, and automation into an entire business and technology infrastructure. It continuously monitors the IT estate, autonomously maintaining overall IT performance, while intelligently guiding and advising humans on how to deliver a better, more optimal IT operation state. 

From a business perspective, autonomic IT provides a bounty of benefits. A platform of connected intelligence enables the rapid, seamless adoption of new technologies and optimizes and improves IT operations, all while eliminating downtime and error risk to the brand and customer experience. 

In this way, Autonomic IT is the culmination of the AIOps journey from manual, human-powered IT to machine-powered IT – with the end goal of automating tedious tasks and human analysis, ultimately achieving trusted, efficient, and effective autonomous operations. 

Autonomic IT is AIOps fully realized. Consider the differences: 

Go beyond with autonomic IT 

ScienceLogic’s SL1 supports businesses on their journey to realize the full power of AIOps, enabling them to see, contextualize, and act on machine-driven insights, ultimately helping achieve a true state of Autonomic IT operations. With IT teams able to close visibility gaps in hybrid IT, resolve issues sooner, and support business innovation, businesses are empowered to make more informed and strategic choices with total stack observability and control over service health and delivery. 

ScienceLogic is able to help organizations achieve these outcomes with an approach to Autonomic IT focused on improving business and financial outcomes through technology, finally delivering on the promises of digital enterprise transformation. The approach offers unmatched scalability and flexibility, with built-in security and compliance assurance that guarantees capabilities to progressively improve service visibility and automate IT workflows for greater business impact, no matter where organizations are in their journey towards Autonomic IT. 

Learn more about how ScienceLogic can help ITOM teams go beyond with Autonomic IT. Contact us today.