So put on your...
Tech Talk
Shifting From On-Premises to Cloud Architecture with Amazon Aurora
At the heart of every SL1 deployment is a relational database. At ScienceLogic, we have used MySQL and its derivatives such as MariaDB since designing our very first monitoring solution back in 2003. This database has served our customers well and has proven...
The Technical Building Blocks of a Modern AIOps Platform
Businesses are facing a very serious data challenge today—the collecting, managing, and making sense of the huge volume and variety of data coming from heterogeneous and disparate sources into their IT universe. And I believe AIOps to be the solution—with the...
Why You Don’t Need a Data Scientist: Automatically Selecting the Right Anomaly Detection Model
Anomaly detection is the process of discovering whether the behavior on your device is normal or not. Although anomalies are not always a sign of bad behavior, knowing which of your devices are behaving abnormally during an outage can be the difference between...
How to Reduce MTTR by Automating Incident Troubleshooting
What do your Tier 1 Engineers do when they respond to an incident in your IT infrastructure and applications? Even with a well-defined incident management process, engineers still have a lot of legwork to do basic triage: finding device credentials, jumping through...
Setting Your Data Scientist Free With Clean Data
The explosion of available data, coupled with the market pressures to rapidly understand and respond to the needs of your customers, puts data science into the spotlight as a way to gain competitive advantage through deep analytics. And, when data science is in the...
