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.

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.

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.

When application delivery performance issues happen, observability is critical to diagnosing the problem at hand. The adage “it’s always DNS” means that observability must extend to the foundational layers of the application delivery and access networking stacks. Yet granting administrative access to core network services like DNS and DHCP may run contrary to an organization’s least-privileged access policies. In this session, attendees will learn how global internet companies and enterprises use NS1 and Datadog to provide democratized DNS observability and reach optimal application performance.

Observability is trending. Organizations that rely on cloud infrastructure and cloud applications prioritize observability initiatives to get control over their business’s applications. At the same time, we see the “gap” between the on-premises infrastructure and “non-cloud” infrastructure is becoming bigger. Examples are End User Computing (EUC) and Global networks (SD-WAN).

Using managed services is all very well, but how do you get the data you need from the different services into Datadog so you can see it all in one place? This session will walk through the configuration for bringing your Aiven-managed Apache Kafka service metrics into your Datadog explorer. You’ll see how to filter the metrics to focus on specific topics or consumer groups, and how to use the Aiven client to create a repeatable, scriptable setup. This session is recommended for anyone living in the as-a-Service world who cares about data and is interested in using metrics to optimize their Kafka clusters.