Be the Operations Superstar with the Hollywood/OL8 Upgrade Guide
Hollywood- the latest release of ScienceLogic SL1- isn’t simply another extension with powerful new features. It’s a breakthrough upgrade for existing customers, incorporating hundreds of user suggestions and major platform enhancements. It delivers enhanced performance, new unified user interfaces, enhanced automation, and cutting-edge security features to name but a few. But Hollywood (v12.1) goes even further, enabling a new monthly feature upgrade framework. With this upgrade, keeping your SL1 platform up-to-date with the latest capabilities and fixes will be easier than ever. Hollywood is another example of ScienceLogic’s vision to help your team achieve truly optimized human-hybrid IT operations- Autonomic IT ScienceLogic Support has released a series of support guides and how-to videos to walk you through your upgrade to Hollywood. First, we’ve included a new step-by-step upgrade video in the Nexus Resource Center. The video includes an overview with prerequisites, a step-by-step outline, and a live demonstration of the upgrade process. Second, the 12.1 OL8 upgrade resource center in the Support Portal provides complete details and full upgrade documentation. And for SaaS-hosted customers, upgrading to Hollywood is even easier. Simply open an upgrade ticket in the Support Center, and our experts will take care of it for you. Unlock the full potential of your IT operations with ScienceLogic SL1 Hollywood 12.1. Upgrade today and join the revolution in intelligent IT operations management!Automated Root Cause Analysis: Finding Diamonds in Mountains of Logs
We’ve all been there at one time or another in our careers: a business-critical service failed, and the emergency recovery clock starts ticking with a vengeance. Not just ticking; it’s a blaring siren and a firehose of inquiry from concerned application owners and executives. Worse, both your customers and your team are frustrated. Customers because an app they depend on has brought them to a halt, and your team because resources are diverted to fix the crisis. And perhaps the most perennial of troubleshooting resource drains during application outages is the manual analysis of dozens or hundreds of logs, and millions or billions of messages. It would be easy to think that by now ops teams would have access to powerful analytic tools to make quick work of automating root cause discovery. To be fair, both vendors and open-source have delivered log aggregation and query platforms that at least simplify the first-order log problem- making log data easier to access. But they still require admins with talent and deep understanding of applications to spot a never-ending list of novel failures deep within application frameworks. Fortunately, machine learning and artificial intelligence are now being combined to assist operators in quickly identifying the root cause of issues and begin resolution right away. ScienceLogic Zebrium AI Log Analysis is a great example. Automated Analysis Begins With Automated Learning Step one in supercharging incident response is the automatic ingestion and processing of millions or even billions of log messages in real-time. However, that function must be truly automatic. Overloaded human admins do not have time to train yet another tool. ScienceLogic Zebrium AI Log Analysis automatically learns how to understand log messages, including what data is significant, which messages are unusual, which are noisy, and even how to decode the details in previously unseen log formats. This unsupervised machine learning typically begins delivering results within 24 hours of exposure to new logs. Better, it can result in a tenfold faster resolution process. Untangling Unknown Unknowns Modern applications are complex, and the novel nature of many errors makes understanding what broke a daunting task. This is why logs remain the gold standard for troubleshooting issues. Well-understood failure modes send alerts or event messages clearly indicating the issue and providing context for repair. However, most critical outages result from issues never previously encountered, and the only evidence might be an obscure, single message among millions of lines of noise. Zebrium correlates unusual behavior with recent changes and performance metrics, helping you understand potential business service impacts before they become full-blown incidents. Fluent Klingon Not Required You're not alone if reading logs feels like deciphering a foreign language. Each log has its own unique syntax and vocabulary, making troubleshooting challenging. That challenge is multiplied for each new log that must be manually investigated. Zebrium AI Log Analysis automatically translates arcane formats and fragmented details into plain language that’s easy for the whole team to understand, naturally. Going beyond identifying which log lines are related to the cause of issues, Zebrium’s AI engine explains issue details in plain language. Its natural language model goes further to generate root cause summaries that describe the systems involved and the relationships between application elements. It also visualizes the most critical keywords from related log messages. When teams immediately recognize application details, they can trust the accuracy of automated analysis. Ready, Set, Analyze! If you’re ready to transform your log analysis and incident resolution process or are simply curious about how automated root cause analysis might streamline your troubleshooting effectiveness, you can request a free trial of ScienceLogic Zebrium AI Log Analysis today. It’s SaaS-hosted and easy to get up and running in minutes. Experience the next level of incident troubleshooting today and get back to doing what you love- delivering great service for your customers.
