Datadog is the essential monitoring and security platform for cloud applications. The Datadog SaaS platform integrates and automates infrastructure monitoring, application performance monitoring and log management to provide unified, real-time observability of our customers’ entire technology stack. Datadog is used by organizations of all sizes and across a wide range of industries to enable digital transformation and cloud migration, drive collaboration among development, operations, security and business teams, accelerate time to market for applications, reduce time to problem resolution, secure applications and infrastructure, understand user behavior and track key business metrics.
APMdigest Blogs and News
Cloudaware announced a partnership with Datadog to bring Cloudaware LogSight to the Datadog Marketplace.
Datadog has launched its products and services on the Amazon Web Services (AWS) Europe (London) Region.
Datadog has acquired Adaptive ML, a frontier AI startup developing a Reinforcement Learning Operations (RLOps) platform, enabling enterprises to build, own, and deploy their own specialized agents and models.
Datadog launched new features and rolled out key integrations focused on driving autonomy and reducing complexity in an industry facing rapid AI-driven transformation.
As AI adoption accelerates, operational complexity — not model intelligence — is becoming the primary barrier to reliable AI at scale, according to the State of AI Engineering 2026 from Datadog ... The report highlights a compounding complexity challenge as AI systems scale ... Around 5% of AI model requests fail in production, with nearly 60% of those failures caused by capacity limits ...
Datadog achieved FedRAMP (Federal Risk and Authorization Management Program) High certification, which signifies Datadog’s ability to meet one of the federal government’s most stringent cloud security and compliance standards.
Datadog announced that GPU Monitoring is available to customers everywhere.
Datadog announced that Datadog Experiments is available to customers everywhere.
Datadog announced plans for a new UK data center presence.
Resilience can no longer be defined by how quickly an organization recovers from an incident or disruption. The effectiveness of any resilience strategy is dependent on its ability to anticipate change, operate under continuous stress, and adapt confidently amid uncertainty ...
Eugene Kovnatsky, VP, Product Solutions Architecture (PSA) & Field CTO (FCTO) teams, at Datadog, has joined the APMdigest Vendor Forum.
Datadog announced a strategic partnership with Sakana AI, a next-generation AI research lab building advanced foundation models, to collaborate on research, product innovation, and go-to-market initiatives focused on enterprise AI adoption.
Datadog launched Feature Flags, which unifies feature management with observability to help engineering teams release new functionality fast without compromising reliability.
Datadog announced a new strategic collaboration agreement (SCA) with Amazon Web Services (AWS) and showcased multiple product launches across AI, observability and security to help organizations running on AWS monitor, optimize and secure their cloud environments.
Datadog launched Bits AI SRE, an AI agent aware of telemetry, architecture, and organizational context that investigates alerts and surfaces actionable root cause in minutes, giving engineers the information they need to confidently resolve incidents faster, save engineering hours, and reduce end-user and business impact.
Datadog announced new integrations for customers using Datadog on Oracle Cloud Marketplace and deployable on Oracle Cloud Infrastructure (OCI).
Datadog announced that it is now ‘In Process’ for GovRAMP High Authorization.
Datadog launched its full range of products and services on the Amazon Web Services’ (AWS) Asia-Pacific (Sydney) Region.
Datadog announced its inclusion on the S&P 500 Index, effective prior to the opening of trading today.