Datadog, Inc. (NASDAQ:DDOG) was announced on May 21st. The company introduced an open source foundation model called TOTO and an observability benchmark named Boom. The launch coincides with the company’s advances towards FedRamp High Authorization to serve mission-critical federal workloads.
Close-up of a laboratory technician monitoring computers on a cloud break platform.
TOTO is the first open source foundation model explicitly designed for observability. It is only trained with DataDog internal telemetry metrics. This model delivers “state-of-the-art performance” compared to existing time series basic models (TSFM), allowing for immediate anomaly detection and capability planning without any series adjustments. This feature is important when monitoring billions of temporary time series that characterize modern cloud environments.
Alongside Toto, Datadog introduced Boom, the largest public benchmark for observability metrics. Provides 350 million observations in a 2,807 real-world multivariate series. This benchmark captures unique challenges in production telemetry, including scale, sparse, spikes and cold start issues.
The AI Research Initiative supports a widespread expansion into government markets. Datadog (NASDAQ: DDOG) has announced that it has achieved high approval for the Federal Government’s Risk and License Management Program (FEDRAMP). This approval allows the company to serve federal agencies with strict security requirements.
Datadog, Inc. (NASDAQ:DDOG) is a cloud surveillance and security company. Provides observability and analysis of IT infrastructure, applications, and security. The platform includes infrastructure monitoring, application performance monitoring, log management, cloud security, and incident management.
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