For customers using Azure Key Vault—which helps them safeguard sensitive keys and secrets used by applications and services hosted on Azure—it can be challenging to determine when the resources in their Key Vault(s) are about to expire. Invalid keys and secrets can disrupt your day-to-day workflows by causing application downtime, holding up incident investigations, invalidating compliance, slowing down the development of new features, and more.

As the internet continues to evolve, cybersecurity threats—particularly Distributed Denial of Service (DDoS) attacks—are an increasingly significant concern for organizations. In this post, we’ll look at how you can use Datadog to collect Google Cloud Armor (GCA) logs and detect and respond to potential DDoS attacks in real-time. But first, we’ll briefly cover what DDoS attacks are and how they work.

Modern cloud applications are made up of thousands of distributed services and resources that support an equally large volume of concurrent requests. This level of scale makes it more challenging for engineers to identify system failures before they lead to costly outages. System failures are often difficult to predict in cloud environments, and security threats add another layer of complexity.