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
Resource Type: Video
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
ScienceLogic Core Values
With the complex interdependencies of modern software-driven technologies, how do you figure out what’s working and what’s not? ScienceLogic’s patented discovery does the heavy lifting for you. It derives deep knowledge across all technology, vendors, and clouds so you: Know what resources you have and what’s running on them. Collect the right data—be it configuration,… Continue reading Assure IT Service Delivery with Complete Discovery