Operations | Monitoring | ITSM | DevOps | Cloud

Monitor dbt Cloud with Datadog

Data build tool (dbt) is an open source service that cleans, aggregates, and models raw data into organized, analytics-ready formats within a data warehouse. dbt Cloud, a fully managed platform by dbt Labs, extends dbt’s capabilities with advanced features such as scheduling, testing, and monitoring, accessible directly from your browser.

Datadog On-Call, Code Analysis & More - This Month's Updates! #Observability #opentelemetry

On This Month in Datadog, we’re bringing you a bonus episode to spotlight Datadog On-Call, which is now generally available, and covering other updates, including the general availability of Code Analysis and our expanded integration with Pinecone.

This Month in Datadog - January 2025

On the January episode of This Month in Datadog, join Jeremy Garcia (VP of Technical Community and Open Source) and Daljeet Sandu (Product Manager) for a bonus video that spotlights Datadog On-Call, which is now generally available. Also featured is a roundup of new features that Datadog recently announced. This Month in Datadog is a monthly update of the company’s latest features, product announcements, and more. Subscribe to our YouTube channel to get notifications about future episodes.

This Month in Datadog: Datadog On-Call 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. 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 On-Call.

Intro to Synthetic Monitoring

Welcome to the second video of our new series, Frontend Observability & Monitoring! Datadog Synthetic Monitoring is a proactive monitoring solution that enables you to create code-free API, browser, and mobile tests to automatically simulate end-user workflows and requests on your front-end applications. This video will walk you through setting up browser and api testing capabilities so you can keep tabs on your application uptime and ensure a reliable user experience.

Monitor unit economics with Datadog Cloud Cost Management

Cloud unit economics measures the amount an organization spends on cloud services to achieve a discrete business outcome such as a conversion, sign-up, or checkout. Your cloud spending may increase as your applications get more usage and the complexity of your cloud environment grows.

Unify visibility into changes to your services and dependencies with Datadog Change Tracking

In modern application development, changes happen constantly: Deployments are pushed, feature flags are toggled, and Kubernetes events reshape infrastructure, to name just a few. While these practices drive innovation and scalability, they also introduce complexity—especially during incidents. Fragmented tools and workflows across teams and organizations make it difficult to pinpoint the root causes of issues, leading to longer resolution times.

How to monitor your Rust applications with OpenTelemetry

Rust’s strong memory safety and efficient code execution make it a top choice for building robust, high-performance systems. But even with its powerful guarantees around memory management and thread safety, Rust applications in production environments can still face challenges such as latency spikes, resource contention, and unexpected bottlenecks. For this reason, monitoring Rust applications is essential to ensure they meet performance expectations and remain reliable under load.

Optimizing Contract Management at Icertis with Datadog

Icertis is a leading contract lifecycle management (CLM) platform that empowers organizations to manage their contracts effectively from initiation to renewal. By leveraging advanced AI and analytics, Icertis helps businesses ensure compliance, mitigate risks, and drive better decision-making. The integration of Datadog has tripled the speed of incident detection and resolution, achieving a 20-30% reduction in overall MTTR and saving approximately $500,000 USD through optimized infrastructure scaling at Icertis.