How to Leverage Artificial Intelligence and Observability

Digital transformation offers extraordinary benefits for your businesses—and enormous challenges for your IT operations team. When issues arise, the complexity of your modern IT environment and the data it generates make it incredibly challenging for your human IT specialists to know where to start looking for problems, let alone fix them in a timely way.

ScienceLogic can help. Our AIOps platform uses artificial intelligence, observability, and machine learning to deliver an understanding of application and business service performance within the context of your larger IT estate. By leveraging machine-driven insights and automated actions, our technology helps you achieve desired business outcomes and satisfy customer and user expectations.

The future of artificial intelligence and observability

Cloud-native IT platforms are quickly becoming the standard for digital transformation, with experts predicting that these platforms will serve as the foundation for more than 95% of new digital initiatives by 2025. At the same time, the total number of enterprise applications and cloud-native apps continues to grow at an explosive pace.

While these technologies deliver lower operating costs and greater flexibility, they also add to the complexity of your IT environment—and the difficulty of monitoring, managing, and ensuring the health of your IT systems. With the sheer volume, variety, and velocity of data generated by your modern hybrid environment, it’s virtually impossible for your human IT specialists to visualize, contextualize, and derive actionable insights from this massive amount of information. The presence of legacy applications and infrastructure in your data centers only compounds the complexity of the task.

To solve these challenges, your ITOps teams need solutions that leverage artificial intelligence and observability solutions that can collect, see, contextualize, and act on data insights. These platforms ingest data from both cloud-native and legacy technology to deliver a complete and unified understanding of the health of your IT estate. Using automation to remove bottlenecks caused by humans, these artificial intelligence and observability platforms will become the workhorses for IT operations monitoring and management.

Gain observability insights with ScienceLogic.

As a leader in IT Operations Management, ScienceLogic offers artificial intelligence and full stack observability solutions to help you understand your business services, applications, and infrastructure—whether it’s on-premises, cloud-native, or deployed in hybrid cloud and multi-cloud environments.

The ScienceLogic AI Platform is an IT infrastructure monitoring and AIOps platform that delivers targeted insights into application topology and performance within the context of business services throughout your overall IT estate. Rather than re-platforming to yet another APM or observability tool, ScienceLogic integrates with your existing tools, analyzing data to automatically deliver insights on applications running on premises and in the cloud.

The ScienceLogic AI Platform goes even further to facilitate Autonomic IT: enabling your teams to observe and automate operations across your multi-cloud and distributed architecture. It contextualizes data through relationship mapping and acts on insights and recommended actions that are derived from real-time insights and curated by past results. By leveraging data insights from a connected IT ecosystem, SL1 increases efficiency across your ITOps, DevOps, SecOps, and DevSecOps teams.

Automate root cause analysis with ScienceLogic’s Skylar™ AI.

ScienceLogic enables your IT team to use artificial intelligence and observability to accelerate root cause analysis. Part of the ScienceLogic AI Platform, Skylar™ AI’s Automated RCA Log Analysis ingests millions or billions of lines of log data from across your IT infrastructure in real time, applying machine learning to observe patterns of log events and identify anomalies. By automatically analyzing relevant logs to determine unusual behavior and identify root cause, Skylar Automated RCA generates automated root cause analysis reports in plain language to help teams better understand their complex, cloud-native modern applications and business services.

With Skylar Automated RCA, your ITOps teams can:

• Diagnose issues 10x faster: Automated root cause analysis capabilities eliminate most of the manual work involved in diagnosing root cause from logs. ML log analysis processes enormous volumes of messages in real time and employs machine learning to identify the root cause. Skylar dramatically reduces the time required to understand what is actually broken and to show ITOps teams where to begin troubleshooting and repair.
• Catch new problems before they cause incidents: Skylar Automated RCA identifies unusual or novel issues along with their associated root causes—even when your monitoring tools don’t know what they’re looking for. By correlating unusual behavior with recent changes in performance metrics, Skylar Automated RCA helps your teams understand the potential business or service impact of new issues.
• Understand the insights revealed by your logs: Because no two logs are like, deciphering log data can feel like analyzing a foreign language, even for experienced developers. Skylar Automated RCA delivers root cause summaries in plain language and distills billions of log lines down to the few most salient data points.

Why ScienceLogic?

ScienceLogic is trusted by thousands of organizations across the globe to deliver insights that accelerate innovation and drive business outcomes. Our platform monitors your digital footprint wherever it resides, using patented discovery techniques to see everything within your IT environment. With solutions for AIOps, IT infrastructure monitoring, network automation, and observability, ScienceLogic empowers intelligent, automated IT operations that free up time and resources and resolve problems faster in a digital, ephemeral world.

The ScienceLogic AI Platform is designed to meet the rigorous security requirements of the United States Department of Defense, is optimized for the needs of large enterprises, and has been proven at scale by the world’s largest service providers. When relying on ScienceLogic, organizations and their IT teams can manage IT environments at speed, at scale, and in real-time.