To date, Incident Automation has been encumbered by the lack of accurate configuration and relationship data in the configuration management database (CMDB). In the ephemeral world of micro-service based applications and containerized workloads, this problem becomes infinitely more complex. ScienceLogic SL1 solves this problem by automatically discovering new incident management Configuration Items (CIs) as they are… Continue reading ScienceLogic SL1: Accelerate Automation— CMDB, Incident and more
Resource Type: Video
ScienceLogic SL1: Accelerate Automation— CMDB, Incident and more
Tying infrastructure to applications has been the key missing element to determining root cause in complex enterprise IT environments. ScienceLogic SL1 solves this problem through the combination of patented agentless collection of network, infrastructure, hypervisor, and cloud topology and performance data combined with patented agent-based collection of server and application dependency data. Further, in the world of AIOps, context is key and SL1 delivers context at every… Continue reading ScienceLogic SL1: Extend APM Reach
ScienceLogic SL1: Extend APM Reach
ScienceLogic SL1’s context-infused AIOps platform is the key missing component in most IT Ops environments. SL1 collects data from any technology— running on prem or in the cloud— and stores that curated data in a real-time, operational data lake. SL1 adds context to the data lake using natively discovered infrastructure and application relationships and topology.… Continue reading Empowering Service and App-Aware IT Operations
Empowering Service and App-Aware IT Operations
There’s a lot of skepticism in the industry about what’s real with machine learning and AIOps. What intelligent automations can be applied to production workloads today? How do you drive changes without waiting for an event to happen? Opus Interactive demonstrates how they’ve combined ScienceLogic SL1’s infinite capabilities for data collection and powerful automation engine… Continue reading Opus Interactive Showcases Predictive Automations in Property Management
Opus Interactive Showcases Predictive Automations in Property Management
Detecting and resolving problems gets exponentially harder – and costlier to your business – as your architecture gets more complex. ScienceLogic SL1 applies machine learning and event-driven automation to initiate proactive problem detection, troubleshooting, and repair and minimize mean time to repair (MTTR). When an anomaly is detected, SL1 automatically generates an event and opens… Continue reading SL1: Anomaly Detection & Automated Remediation
SL1: Anomaly Detection & Automated Remediation
Kubernetes and Docker containers introduce new monitoring and management challenges due to complex and dynamic interdependencies, and a wealth of new metrics. ScienceLogic SL1 provides the visibility organizations need to understand these complex and rapidly changing relationships. As containers are created and destroyed, SL1 detects changes to the ephemeral environment and automatically updates the micro-service… Continue reading SL1: Kubernetes and Docker Container Monitoring
SL1 PowerMap – Bring Context to AIOps
With today’s digital business things are moving faster than ever. Transactions, data, applications and it all goes through IT operations. In fact, keeping up may often seem like chasing a moving target. You’re dealing with a complex mix of networks, databases, storage, and Clouds. More and more apps, new devices, IoT, different vendors, and technologies… Continue reading Your Pathway to AIOps