Datadog customers send trillions of data points per day. These data points are processed by Datadog and used to debug production issues in real time. But, in order to reason about all this data, we humans need visual representations. Visualizations can help us discover connections and problem points.

Datadog is constantly elevating the approach to cloud monitoring and security. This Month in Datadog updates you on our newest product features, announcements, resources, and events. To learn more about Datadog and start a free 14-day trial, visit Cloud Monitoring as a Service. This month we put the Spotlight on Datadog Sensitive Data Scanner which is now generally available.

Datadog is constantly elevating the approach to cloud monitoring and security. This Month in Datadog updates you on our newest product features, announcements, resources, and events. This month we put the Spotlight on Network Device Monitoring, along with highlighting the many announcements and guest presentations from Dash.

At Vacasa, AWS accounts represent the unit of isolation for distinct applications & services in our software ecosystem, providing security benefits and operational autonomy for our teams as we scale. Managing accounts at this scale requires strong DevOps practices to maintain security, operational sanity, and uniform observability across the system. In this talk, we’ll cover the benefits of such an approach, the practices that make it possible, and the important role Datadog plays.

Datadog product designers and frontend developers have been working together to create a new, better UX for creating dashboards, which is one of the most important parts of using Datadog. A central part of this effort was building a new layout engine. Working on this project was a bit different from the usual feature work, so the collaboration cycle between our developers and designers had to change for us to more closely and quickly design, build, and test constraints and new ideas in the browser.

Identifying bottlenecks during times of high load is critical to building a scalable software platform. Stress testing is one way to simulate high load on a system and allows you to proactively capture potential bottlenecks before they impact customers. Once a solution is implemented to address the bottleneck, you need a way to measure success and find a new limit. See how HashiCorp Cloud Platform (HCP) has developed a stress testing framework which heavily relies on Datadog’s custom metric capabilities in combination with some out of the box integrations to give HCP engineers a comprehensive view of their platform and how they used these insights to scale their concurrent data-plane provisioning by 300%.

When customer-impacting downtime happens, it’s crucial that responders are prepared and can resolve these issues as quickly as possible. Knowing the right tools to use, from wherever you are working from, will help to have a well-defined strategy in place to come together as a team, work the problem, and get to a solution quickly. In this roundtable discussion, PagerDuty and Datadog engineers chat about incident responses and how we use all the tools at our disposal to respond quickly and effectively.

Often when completing a migration project, you’re having your organisation straddle between two systems. You’re fighting habits and changing attitudes while also attempting to complete a high-risk operation. Every software team at one stage in their career will have to complete a migration. Whether it’s to improve scalability and performance, or transition between an on-prem to cloud solution, you’ll need a deep understanding of your current environment to create a strategy that minimises downtime for your team.

The Datadog team deliver the annual Dash keynote. At Dash 2021, we announced new products and features that give your team even greater visibility into the health and performance of your code, databases, CI/CD pipelines, and more. Now, you can monitor network devices, get visibility into your services' golden signal metrics without touching a single line of code, and integrate third-party tools into our platform with Datadog Apps. We expanded RUM to include iOS error tracking, Session Replay, and Watchdog Insights. And we introduced Datadog Observability Pipelines, which run on your infrastructure and put you in control of your observability data, from how it’s processed to where it’s sent.