Operations | Monitoring | ITSM | DevOps | Cloud

This video aims to showcase how developers can self-serve from an application to simplify the management of their AWS cloud resources. Rather than switching between tools or reaching out to another team for help, developers can take action directly from their observability tool, enabling faster resolution of application issues. We will demonstrate how to build a simple app that allows them to minimize disruptions by quickly taking action on their SQS queues in AWS, using insights provided by Datadog.

Temporal is an open source platform to build resilient and reliable distributed systems. Datadog started using Temporal in 2020 as the foundation for our internal software delivery platform. Since then, its usage has been widely adopted as a platform that any engineering team can use to build their systems. In this Datadog on episode, Ara Pulido chats with Loïc Minaudier, Senior Software Engineer in the Atlas team, responsible for providing a developer platform on top of Temporal, and Allen George, Engineering Manager in the Datadog Workflows team.

On This Month in Datadog, we’re spotlighting LLM Observability’s native integration with Google Gemini, which automatically captures the LLM requests your application makes to Gemini models.

Datadog Service Catalog automatically consolidates real-time observability data and internal engineering knowledge about all of your services into a unified view.

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 | Datadog. This month, we put the Spotlight on Datadog LLM Observability’s native integration with Google Gemini.

Learn how Appfolio is delivering positive customer experiences in real estate with generative AI — supported and safeguarded by Datadog’s LLM Observability. See how you can use Datadog LLM Observability to monitor, troubleshoot, improve, and secure your LLM applications.

With over 426 million active users, comprised of consumers and merchants, Paypal processes approximately 25 billion transactions valued at around $1.53 trillion USD. Paypal is shaping the future of commerce for millions of customers globally, and to do that, they use Datadog to provide timely insights into their entire stack.

OpenTelemetry (OTel) is an open source, vendor-neutral observability framework that supplies APIs, SDKs, and tools to instrument, generate, collect, and export telemetry data (metrics, logs, traces and soon profiles). It has a vibrant ecosystem of components, integrations and vendors. In this episode, Juliano Costa will discuss OpenTelemetry with Felix Geisendörfer, Senior Staff Engineer on the Continuous Profiling team, and Pablo Baeyens, Software Engineer on the OpenTelemetry team.

At Datadog’s 2024 DASH conference, Anthropic President and Co-Founder, Daniela Amodei, announced the new Anthropic integration with Datadog’s LLM Observability. This new native integration offers joint customers robust monitoring capabilities and suite of evaluations that assess the quality and safety of LLM applications. Get real time insights into performance and usage, with full visibility into the end to end LLM trace. Enabling you to troubleshoot any issues, reduce downtime and get your Claude powered applications to market faster.

Global financial services institutions monitor the health, security, and performance of their most business-critical systems with Datadog’s unified observability platform.