SharePoint Online (SPO) has become a cornerstone for many organizations seeking a robust, scalable, and collaborative platform. It’s a place where teams can seamlessly work together, share documents, and enhance their workflow efficiency. However, while SPO offers a plethora of benefits, the cost associated with its usage can be a potential hurdle, especially for businesses with large volumes of data.
Welcome to the second chapter of the handbook on Anomaly Detection for Time Series Data! This series of blog posts aims to provide an in-depth look into the fundamentals of anomaly detection and root cause analysis. It will also address the challenges posed by the time-series characteristics of the data and demystify technical jargon by breaking it down into easily understandable language. This blog post (Chapter 2) is focused on different types of anomalies.
If there’s anything I’ve learned, monitoring data is the lifeblood of the business and a superpower for any IT practitioner. Monitoring allows organizations to react to changes, identify and recover, and understand the true health of the business.
Microsoft's release of Windows 10 modernized how IT teams approach device management. Windows 10 is not a strict evolution of Windows 7 and 8. It’s an evolution of Windows Phone 8 and 10, where an MDM API was available to manage all aspects of a device, such as DLP, restrictions, software distribution and so on.
Modern distributed applications are composed of potentially hundreds of disparate services, all containing code from different internal development teams as well as from third-party libraries and frameworks with limited external visibility. Instrumenting your code is essential for ensuring the operational excellence of all these different services. However, keeping your instrumentation up to date can be challenging when new issues arise outside the scope of your existing logs.