Artificial Intelligence for IT operations (AIOps) promises to transform IT departments by enabling comprehensive IT estate visibility; faster anomaly and root cause analysis; as well as automated response and remediation. However, many organizations struggle with adopting AIOps due to the fragmented and complex delivery of current solutions.
ScienceLogic’s newest release, Hollywood, aims to accelerate AIOps adoption by delivering a human-friendly platform that integrates generative AI insights with observability and automation to make your work easier. It also enables the addition of new IT assets so you don’t need a multitude of different observability tools. To learn more about the Hollywood release, view our webinar recording on-demand.
Integrate Advanced AI While Delivering Value to More of Your IT Team
This release leverages generative AI and other machine learning technologies to analyze log data, determine the root cause of issues 10x faster than human analysis. Since AI insights are only helpful if they lead to action, we have implemented easy-to-understand summarization of problem and root causes that enable all IT staff to take action faster. These insights can execute SL1’s automation capabilities, enabling teams to resolve common issues automatically while reviewing insights for less frequent problems. This human-friendly approach ensures value and frees up time – especially weekend time.
Provides Updated Experience for Faster Troubleshooting
As SL1 functionality expands to provide the most complete, end-to-end AIOps experience, we continually work to simplify the experience and link visibility, insight, and action. With Hollywood, the improved UI provides an at-a-glance view of all IT assets and changes to your IT estate. It also connects AI insights and recommended automation in one screen. Now, staff can see an issue’s overall business service impact, understand AI-recommended actions, seamlessly drill down to device specifics, and immediately take action without toggling between different tabs or, like other vendor offerings, working across three or more programs. The integrated change tracking further accelerates mean time to repair (MTTR) by highlighting recent configuration changes on affected devices so you can spot human-introduced issues and set up policies to prevent them in the future.
Reach Teams Where They Work with Teams, Slack, and WebEx
Expecting staff to constantly check email or an alerting application is no longer realistic. To be effective, alerts must meet staff where they collaborate. And today, that is Slack, WebEx, and Teams. Building on our Teams integration strategy, SL1 now lets SL1 communicate with your staff through Slack and WebEx for faster acknowledgment, assignment, and resolution of issues without switching contexts. No more scrolling through email to find alerts or losing track of who works on what. These integrations help reduce MTTR by meeting staff where they already collaborate.
Quickly Extend Monitoring to New Assets
As IT environments grow, operations teams need to constantly extend monitoring to new assets, applications, and infrastructure. SL1 Studio, our new no / low-code toolkits, enable admins to quickly build custom resource onboarding and monitoring for unique assets without advanced coding skills or the need to deploy more and more monitoring tools that raise costs and make troubleshooting harder. Whether it is custom metrics from a homegrown app, logs from a new cloud database, or API integrations with new SaaS platforms, SL1 Studio lets you covers the critical ‘last mile’ of your IT environment. IT staff can painlessly collect and correlate new data sources into the SL1 at-a-glance monitoring view and eliminate visibility gaps others cannot.
Empower IT Teams to Advance AIOps Adoption
SL1’s human-friendly AI insights and simplified user experience provide a scalable approach to using AI to find and resolve issues based on your trust in AI. When issues are found, the AI can recommend built-in run book automations IT staff can leverage for a given event or device and approve (one time), deny, or set it as an automated action. This human-approved oversight reduces MTTR while letting staff keep their hands on the keyboard until they are confident in the accuracy of the AI recommendations. Once everyone feels comfortable with the event-to-action resolution success, you can go to the next step in automating the action.
Accelerate AIOps Adoption for Better IT Operations
With Hollywood, ScienceLogic continues to push the industry forward enabling more agile IT estate monitoring, superior AI insights and a deeper range of integrated workflow automations – including integrations that enable greater team communication and collaboration.
Combined, this release makes it easier for you to consolidate monitoring tools and reduce IT costs, then easily extend your SL1 solution to add generative AI insights for up to 10x faster root cause analysis and, at your comfort level, AI-driven automation for faster mean time to repair. All from a single tool designed to easily accelerate AIOps adoption, reduce costs and empower IT teams of all skill levels to eliminate risk to the business.
Expect to see more of this human-friendly approach, which enables and empowers teams rather than layering them with more technology overhead, as we move into future releases. We already have several new capabilities in beta that will continue to set ScienceLogic apart from others by providing a foundation for automated, connected IT that works with, not against, IT teams supporting rapidly changing hybrid cloud (and cloud-native) environments.
