Operations | Monitoring | ITSM | DevOps | Cloud

From day one, most organizations,especially the big ones, are targeted with a broad range of attacks. These range from information exfiltration attempts to fraud. Although a great majority of them can be addressed with the help of a Web Application Firewall, there are some that require more extensive tooling. Join me as I show you how we use Sherlock and Datadog to block 30,000+ fraudulent users per week in seconds. We will also discuss other applications and how you can implement similar solutions.

Open source modules on the NPM ecosystem are undoubtedly awesome. However, they also represent an undeniable and massive risk, since you’re introducing someone else’s code into your system, often with little or no scrutiny. The wrong package can introduce critical vulnerabilities into your application, exposing your application and your user's data. This talk will use a sample application, Goof, which uses various vulnerable dependencies, which we will exploit as an attacker would. For each issue, we'll explain why it happened, show its impact, and—most importantly—learn how to avoid or fix it.

Joe Quinto and Stephen Bouzan, of Nuxeo, a content services platform, talk about how Datadog helps them stay one or two steps ahead of their customers in identifying and responding to issues–so their customers can focus on building smarter content applications and getting to market faster.

Pavel Kruhlei, Quality Engineer lead of New10 talks about how Datadog allowed them to resolve performance issues in their serverless applications, as well as increase visibility into their hybrid environment with Datadog.

In this video, you’ll learn how to use Datadog to help improve your overall compliance posture for all 5 pillars of the AWS Well-Architected Framework.

Datadog Synthetic Monitoring lets you proactively check the availability of your endpoints and the performance of critical user journeys through simulated traffic. Our fully hosted, self-maintaining, and code-free synthetic tests make it easy for everyone on your team to observe how your systems are performing for users.

eBPF (extended Berkeley Packet Filter) is a Linux technology that can run sandboxed programs in the kernel without changing kernel source code or loading kernel modules. While the kernel is an ideal place to implement monitoring/observability, networking, and security it wasn't until the recent broad adoption of eBPF that it was feasible. Datadog has embraced the possibilities that eBPF brings in those areas and there are several teams already using eBPF in their products. 

Datadog Continuous Profiler lets you analyze code performance in production. Deployed on all your hosts all the time, our low-overhead profiler lets you detect and optimize the most resource-heavy methods and classes in your application, improving code efficiency across your entire stack.

Joe Humphries, Infrastructure Director of MyLife Digital talks about how Datadog allowed them to break silos across departments, despite the complexity of their environment, and is now an integral part of their business.

In this video, you’ll learn how Autodetected Integrations speeds up onboarding, ensures you’re aware of all the relevant integrations that are available, and identifies any host-level gaps in coverage.