Operations | Monitoring | ITSM | DevOps | Cloud

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.

Stay ahead of service disruptions with Watchdog Cloud & API Outage Detection

Even with the best monitoring in place, outages are unavoidable. Complex, modern IT environments rely on multiple third-party services, including critical cloud and API providers, and when any one of those goes down, it can trigger a domino effect of increased error rates and latency spikes across your system. And, because you don’t have as much visibility into external services, it can be difficult to identify that the problem is due to an outside outage or disrupted service.

Enrich your on-call experience with observability data at your fingertips by using Datadog On-Call

The stress, sudden disruptions, and high stakes of resolving issues while on call is one of the most challenging aspects of an engineer’s job. Many organizations, from startups to large enterprises, still struggle with their on-call experience, which leads to longer resolution times and lower employee retention rates. Constant context switching, managing multiple tools, and racing against time to resolve issues can cause frustration, burnout, and inefficiency.

Improve database host and query performance with Database Monitoring Recommendations

Modern applications rely on databases, making database performance and reliability essential. As systems grow in scale and complexity, identifying the impact and addressing the root causes of database performance issues—such as long query durations or missing indexes—becomes increasingly challenging. Datadog Database Monitoring (DBM) Recommendations address these challenges by providing a clear, prioritized view of performance bottlenecks.