Operations | Monitoring | ITSM | DevOps | Cloud

Metrics for Apache Kafka with Datadog and Aiven | Ryan Martin (Aiven)

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.

Monitoring Open Source Success in Arduino | Silvano Cerza (Arduino)

Arduino is an open-source hardware and software company, project, and user community that designs and manufactures single-board microcontrollers and microcontroller kits for building digital devices. In the course of developing software downloaded and used by millions around the world, we have found it vitally important to be aware of the quality and performance of our software.

Streaming Auth0 Logs to Datadog | Sivamuthu Kumar (Computer Enterprises, Inc.)

Are you using Auth0 in your application for user logins? How will you monitor the Auth0 logs and detect user actions that could indicate security concerns? In this session, we will see how Datadog helps you to extend security monitoring by analyzing Auth0 User activities in the logs. And also we will see how to set up threat detection rules to trigger notifications automatically based on them.

Maintaining Operational Sanity Across 100+ AWS Accounts | Eric Mann / Ryan Tomac (Vacasa)

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.

Use funnel analysis to understand and optimize key user flows

Monitoring frontend performance and user behavior is essential to ensure that your application is functioning optimally. Datadog RUM enables you to collect key user data and correlate all of it with frontend performance metrics to track how your pages’ performance affects user behavior.

Improve your on-call experience with Datadog mobile dashboard widgets

Life happens—even when you’re on-call. You can’t take your laptop everywhere, but whether you’re on the train, at dinner, or at the gym, you can count on the Datadog mobile app for access to key data about the status and performance of your applications. Now, you can use Datadog mobile widgets to build an on-call mobile dashboard directly on your phone’s home screen, so it’s even easier to track the data you care about from anywhere.

Historical log analysis and investigation with Online Archives

To have full visibility into modern cloud environments, businesses need to collect an ever-growing avalanche of log data from a range of highly complex data sources. Indexing logs is key for real-time monitoring and troubleshooting, but it can quickly become expensive at high volumes, meaning that organizations often must choose which logs to index and which to archive.

Extend your Datadog functionality with Datadog Apps

Last year, we launched the Datadog Marketplace, which lets Datadog partners develop and trade applications that provide custom monitoring solutions for specific use cases. Now, we’re pleased to announce Datadog Apps, which introduces even further customizability to the Datadog platform. With Datadog Apps, you can now build and share your own Datadog UI features that seamlessly combine functionality from your third-party tools with the full range of Datadog’s monitoring capabilities.

Introducing Network Device Monitoring

For many organizations, the success of their business depends on their ability to maintain on-prem or hybrid infrastructure. For instance, some companies rely on data centers for security reasons or to support their large, static workloads, while others must execute their critical business processes as close to the edge as possible to ensure minimal latency.