At Datadog, our teams work together across the company–and the globe–to solve complex issues for developers, IT operations teams and business users in the cloud age.
In our event series, Datadog Tech Talks, we hear directly from industry leaders on the innovative, pragmatic projects they’re working on, as well as examples of real problems they’re solving for our customers.
This time we will be featuring two talks. For more information, please scroll down and check out the Talk Descriptions below.
"Random Load Balancing is Uneven"
"Using Open Source Tools for Vulnerability Detection"
"Random Load Balancing is Uneven"
Speaker: Evan Jones
If you want to distribute data across multiple machines, we often use hashing. We usually assume this evenly distributes the items. Unfortunately, that is not true. In this talk, I will describe how this occurred in a real system, briefly discuss the probability theory behind it, then describe how this applies to other software systems.
"Using Open Source Tools for Vulnerability Detection"
Speaker: Janani Rajadurai
The ability to detect CVEs on our systems is reliant on accurately enumerating the libraries, packages, and dependencies that exist on those systems. Vulnerability scanners often use package manifest enumeration, causing them to miss embedded packages that can be detected by binary enumeration.
Through this talk, we will discuss how we leverage open source tools that are built using binary enumeration for package detection as well as specific enhancements that have been added to these tools. These tools allow us to create enriched SBOMs (Software Bill of Materials), that more accurately represent our software composition, which increases our ability to detect and report CVEs that exist on our systems. This allows us as a business to quickly patch our vulnerabilities as well as increase transparency towards our customers.
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