Enterprise data growth is accelerating rapidly in 2021, challenging organizations to adopt cloud data retention strategies that maximize the value of data and fulfill compliance needs while minimizing costs. To meet this challenge, organizations are adopting or refining their cloud data retention strategies. In this blog post, we’ll take a closer look at the state of data retention and analytics in the cloud.

Logs are automatically-generated records of events that take place within a cloud-based application, network, or infrastructure service. These records are stored in log files, creating an audit trail of system events that can be analyzed for a variety of purposes, including: Enterprise organizations use log analytics software to aggregate, transform, and analyze data from log files, developing insights that drive business decisions and operational excellence.

To understand the value of logs—those many digital records of hardware and software events—picture a big puzzle. You put all the pieces together to make sense of them. Every day the modern enterprise generates billions of logs, each capturing a user log-in, application record change, network service interruption—as well as the messages these entities send to one another.

Is your organization prepared to mitigate Distributed Denial of Service (DDoS) attacks against mission-critical cloud-based applications? A DDoS attack is a cyber attack that uses bots to flood the targeted server or application with junk traffic, exhausting its resources and disrupting service for real human users. DDoS attacks are on the rise, with over 4.83 million attacks reported in the first half of 2020 - an increase of more than 250% compared to the same period in 2019.