Virtual Workshops

This workshop will show you how to get started with Datadog Test Visibility and Intelligent Test Runner. After instrumenting an application with Test Visibility, you will learn how to detect, triage, debug, and remediate flaky tests. You’ll conduct investigations to proactively find test performance regressions and create alerts that route to the proper CODEOWNERS in case of future slowdowns.

This workshop will also show you how to set up and configure Intelligent Test Runner to only run the subset of tests impacted by a given code change, which can ultimately help reduce your team’s testing time by 50 to 90 percent.

Datadog’s Cloud Security Platform gives you comprehensive, real-time visibility and response guidance across all of your cloud providers in a single, unified platform.

In this workshop, you will learn how to ingest logs and leverage Cloud SIEM’s powerful, out-of-the-box rules to detect threats in Azure and AWS environments. You will also learn best practices for writing custom threat detection rules, and explore how to take action by using our investigation features and Incident Management.

Application developers get enormous value out of Datadog, but in significantly different ways than DevOps engineers or SREs.

You’ll begin this workshop by installing the Datadog Agent and configuring it to monitor a containerized web application. You’ll then create Synthetic tests to monitor critical frontend services with simulated customer interactions. And you’ll see how Real User Monitoring (RUM) can help you measure and improve the quality of your user experience.

Along the way, you will learn how Datadog’s core tools, such as Log Management, APM, dashboards, and monitors, can help you stay ahead of application issues before they cause problems for your users.

Datadog’s core tools are tailored to SREs and provide a bird’s-eye view of your entire infrastructure, along with the ability to zoom in on individual processes.

In this workshop, you will learn how to monitor a containerized web application with the Datadog Agent and essential Datadog tools, including:

• Integrations
• Logs
• Alerting
• Application Performance Monitoring (APM)
• Network Performance Monitoring (NPM)
• Dashboards

By the end of this workshop, you will be able to use Datadog to analyze the past, observe the present, and optimize the future of your application infrastructure.

Modern applications consist of a wide array of frontend applications, backend services, and dependencies deployed across hosts, containers, and serverless infrastructure. Without end-to-end observability into an environment, triaging an issue becomes a slow and arduous process.

In this workshop, you will instrument an application with Datadog APM. Then you’ll use Distributed Tracing to identify issues with the application and improve the user experience. Once the application is functioning as expected, you will put measures in place to make sure you are alerted if latency increases above a threshold.

Vulnerabilities such as server-side request forgery (SSRF) and SQL injections still make it to the top of the OWASP Top 10. These vulnerabilities could allow a skilled attacker to gain access to unauthorized data and compromise your infrastructure.

In this workshop, you will get the opportunity to think like an attacker by performing various attacks against a web application. You will also see, as a defender, how you can leverage Datadog Application Security Management to identify which users are targeting your applications and which part of your code is impacted.

By the end of this workshop, you will understand how to quickly detect and respond to threats by getting visibility into code-level exploits.

This workshop will demonstrate an introductory overview of Pipeline Visibility in Datadog. After integrating Pipeline Visibility with a CI provider, we will use custom tags and metrics to capture relevant CI information—such as Docker image size over time—and find performance regressions across our pipelines, stages, and jobs. Then, by integrating Datadog Log Management with our CI provider, we’ll be able to explore logs in context of their specific pipelines and jobs.

We’ll also learn how to create custom widgets and dashboards that deliver insights into CI providers in a single pane of glass, allowing your build engineering team to adopt a data-driven mindset. Finally, we’ll explore how you can reduce alert fatigue by setting up monitors on specific jobs, allowing you to have fine-grained alerting depending on the job in question.

This workshop will introduce how to get started with Datadog’s AWS integration. To understand how the integration works and how it’s configured, you will participate in a series of hands-on exercises, including installing the integration and installing sub-integrations for specific services, such as AWS Lambda and Amazon RDS. Then you will observe what the integration provides out-of-the-box by touring the resulting metrics, logs, and dashboards in the Datadog app.

In this workshop, you will learn how to set up Synthetic and Real User Monitoring (RUM) on your applications. Synthetic Monitoring will provide a safety net for your teams by proactively ensuring that your main user flows and applications are continuously monitored for breaking changes. With RUM, you can analyze real user traffic to understand performance issues, track user behavior, and isolate the root cause of errors and issues. You’ll learn how to create a Synthetic browser test with our code-free web recorder, analyze the results within the Synthetic Monitoring UI, and then pivot to RUM to analyze the same context from Synthetic Monitoring alongside the frontend data collected from RUM’s Browser SDK.

Ineffective incident management workflows can affect revenue, team morale, and development velocity. There’s nothing more stressful than siloed communication while debugging a production outage.

Datadog Incident Management enables you to manage your team’s incident response workflows in a central location. Within Datadog, you’re able to declare incidents in response to alerts, investigate issues, coordinate incident response efforts, and remediate incidents, all without switching contexts or tools.

The complexity of modern applications and shared infrastructure creates challenges for developers, particularly when it comes to troubleshooting production outages quickly and consistently. Knowing what to look for—and where—can be difficult when you don’t have the right observability, especially when you are up against the clock.

By combining metrics, traces, and logs, you can improve your observability and reduce the time to detection and resolution of operational incidents.

With the help of hands-on labs, this workshop will take you from beginner to expert in building your observability with log data. You will learn best practices for log collection, processing, and retention, and then dive into scenarios that will help you analyze data from multiple sources with Datadog Log Management’s powerful search and analytics capabilities.

You will come away with proven strategies for building an organizational culture of efficient logging, optimizing for various use cases, and gaining richer insights into application behavior and user experiences.