Over the last couple of years, there has been exponential growth in the volume and variety of machine data. The main reason has been the ever-growing number of connected machines in IT infrastructure, the sophistication of data algorithms, and the increased use of IoT devices. This data has proven to be quite valuable - even necessary - as an organisation can analyse and use it to drive productivity, improve efficiency, and gain visibility for their business. There is a catch: to make the machine data work for them, organisations need a simplified tool that can analyse and visualise. This is where Splunk comes in.
Transport Layer Security (TLS), and its preceding protocol, Secure Sockets Layer (SSL), are essential to the modern Internet. Encrypting network communications using TLS protects users and organizations from publicly exposing in-transit data to third parties. This is especially important for the web, where TLS secures HTTP traffic (HTTPS) between backend servers and customers’ browsers.
Cloud Logging’s Log Analytics, with advanced search, as well as aggregation and transformation of all log data types, is now generally available.
Automatically measure MTTR, impacted infrastructure, task completion, and more with new incident analytics.