Operations | Monitoring | ITSM | DevOps | Cloud

User and entity behavior analytics (UEBA) is a relatively new category of cybersecurity tools that utilize machine learning (ML) algorithms to detect abnormalities in the behavior of the users and entities that belong to an enterprise network. UEBA monitors and continuously learns from the behavior of various user accounts and devices in the network, and establishes a baseline behavioral profile for each using statistical and probability models.

Developer teams and even operational teams often ignore monitoring applications. Deadlines, inexperience, company culture, and management can lead to poor or neglected monitoring inside developing platforms. Automating all monitoring tasks is an excellent way to avoid this scenario. Automation leads to lower costs, less time spent solving issues, and more efficient teams.

In our last post, we covered CloudWatch Metrics in a great deal of detail. We looked at how we can use it to monitor the health of our Lambda functions, including setting up service dashboards as well as alerts. In this post, we will focus on its sister service – CloudWatch Logs. We’ll see how it works and how to get the most out of it.

As the worldwide spending on SaaS spending will make up more than half of all public cloud services spending through 2019, it is critical to have end-to-end visibility into threats across your SaaS and on-premise applications. Sumo Logic and Netskope are collaborating on a technical integration that will help joint customers use Sumo Logic to correlate, validate and investigate Netskope alerts into their overall security incident investigation process and understand SaaS application usage patterns.