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. This month, we put the Spotlight on Data Streams Monitoring..

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. This month, we put the Spotlight on DASH 2023..

Growing cloud costs are a new constraint and challenge for many DevOps, FinOps, and Cloud Platform teams. Cloud Cost Management delivers granular cost data, scoped to the services developers own, so that engineers can take action on cost data. By unifying cost and observability data, engineering teams can quickly understand the root cause of cost changes, identify wasteful spend in their environment, and empower everyone across their organization to become a cost owner.

Datadog Serverless Monitoring gives you end-to-end visibility into your AWS-based serverless applications. With enhanced metrics, native distributed tracing and centralized access to logs—all automatically correlated, you can ensure your serverless application is optimized, reliable, and highly performant.

Caching (and cache invalidation!) is often mentioned as one of the hardest problems in computer science. While caching can bring substantial performance improvements, reasoning about cached data can be extremely difficult as caching fundamentally means that you are no longer reading from your source of truth. With that in mind, many teams at Datadog needed to build distributed caches to scale their services and keep latency low.

Synthetic Monitoring is a proactive monitoring tool that allows you to automatically simulate end-user workflows and requests on your front-end applications. It helps you keep tabs on your application uptime and ensure a reliable user experience.

See how you can get instant visibility into the health of your entire fleet of services—without requiring you to change a single line of code. By automatically discovering, mapping, and monitoring every service and dependency, Universal Service Monitoring allows you to detect issues faster, monitor service performance and SLOs across entire environments, and centralize all the knowledge about your services in a single place.

Datadog Database Monitoring (DBM) provides deep visibility down to the query level, allowing you to quickly resolve inefficiencies across your database fleets. See how you can use Database Monitoring to identify databases with high load and troubleshoot query performance degradations to proactively optimize costly queries.

Datadog is constantly elevating the approach to cloud monitoring and security. This Month in Datadog updates you on our newest product features and announcements. This month, we put the Spotlight on Heatmaps..

Datadog is an observability and security platform that ingests and processes tens of trillions of data points per day, coming from more than 22,000 customers. Processing that amount of data in a reasonable time stretches the limits of well known data engines like Apache Spark. In addition to scale, Datadog infrastructure is multi-cloud on Kubernetes and the data engineering platform is used by different engineering teams, so having a good set of abstractions to make running Spark jobs easier is critical.